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Sample records for holistic decision system

  1. Assessment for Systems Learning: A Holistic Assessment Framework to Support Decision Making Across the Medical Education Continuum.

    Science.gov (United States)

    Bowe, Constance M; Armstrong, Elizabeth

    2017-05-01

    Viewing health care from a systems perspective-that is, "a collection of different things which, working together, produce a result not achievable by the things alone"-raises awareness of the complex interrelationships involved in meeting society's goals for accessible, cost-effective, high-quality health care. This perspective also emphasizes the far-reaching consequences of changes in one sector of a system on other components' performance. Medical education promotes this holistic view of health care in its curricula and competency requirements for graduation at the undergraduate and graduate training levels. But how completely does medical education apply a systems lens to itself?The continuum of medical training has undergone a series of changes that have moved it more closely to a systems organizational model. Competency assessment criteria have been expanded and more explicitly defined for learners at all levels of training. Outcomes data, in multiple domains, are monitored by external reviewers for program accreditation. However, translating increasing amounts of individual outcomes into actionable intelligence for decision making poses a formidable information management challenge.Assessment in systems is designed to impart a "big picture" of overall system performance through the synthesis, analysis, and interpretation of outcomes data to provide actionable information for continuous systems improvement, innovation, and long-term planning. A systems-based framework is presented for use across the medical education continuum to facilitate timely improvements in individual curriculum components, continuous improvement in overall program performance, and program decision making on changes required to better address society's health care needs.

  2. Issues in holistic system design

    DEFF Research Database (Denmark)

    Lawall, Julia L.; Probst, Christian W.; Schultz, Ulrik Pagh

    2006-01-01

    The coordination of layers in computer and software systems is one of the main challenges in designing such systems today. In this paper we consider Holistic System Design as a way of integrating requirements and facilities of different system layers. We also discuss some of the challenges...... that this kind of system design poses for computer science in general as well as programming languages and operating systems in particular....

  3. On the Road to Holistic Decision Making in Adaptive Security

    Directory of Open Access Journals (Sweden)

    Mahsa Emami-Taba

    2013-08-01

    Full Text Available Security is a critical concern in today's software systems. Besides the interconnectivity and dynamic nature of network systems, the increasing complexity in modern software systems amplifies the complexity of IT security. This fact leaves attackers one step ahead in exploiting vulnerabilities and introducing new cyberattacks. The demand for new methodologies in addressing cybersecurity is emphasized by both private and national corporations. A practical solution to dynamically manage the high complexity of IT security is adaptive security, which facilitates analysis of the system's behaviour and hence the prevention of malicious attacks in complex systems. Systems that feature adaptive security detect and mitigate security threats at runtime with little or no administrator involvement. In these systems, decisions at runtime are balanced according to quality and performance goals. This article describes the necessity of holistic decision making in such systems and paves the road to future research.

  4. Holistic School Leadership: Development of Systems Thinking in School Leaders

    Science.gov (United States)

    Shaked, Haim; Schechter, Chen

    2018-01-01

    Background: Systems thinking is a holistic approach that puts the study of wholes before that of parts. It does not try to break systems down into parts in order to understand them; instead, it focuses attention on how the parts act together in networks of interactions. Purpose: This study explored the development of holistic school leadership--an…

  5. Improving "At-Action" Decision-Making in Team Sports through a Holistic Coaching Approach

    Science.gov (United States)

    Light, Richard L.; Harvey, Stephen; Mouchet, Alain

    2014-01-01

    This article draws on Game Sense pedagogy and complex learning theory (CLT) to make suggestions for improving decision-making ability in team sports by adopting a holistic approach to coaching with a focus on decision-making "at-action". It emphasizes the complexity of decision-making and the need to focus on the game as a whole entity,…

  6. Towards a foundation for holistic power system validation and testing

    DEFF Research Database (Denmark)

    Blank, M.; Lehnhoff, S.; Heussen, Kai

    2016-01-01

    Renewable energy sources and further electrification of energy consumption are key enablers to decrease greenhouse gas emissions, but they also introduce increased complexity to the electric power system. The increased availability of automation, information and communication technology......, and intelligent solutions for system operation have transformed the power system into a smart grid. To support the development process of smart grid solutions on system level they have to be tested in a holistic manner covering the multi-domain aspect of a such complex systems. This paper introduces the concept...... of holistic power system testing and discuss first steps towards a corresponding methodology that is being developed in the European ERIGrid research infrastructure project....

  7. A Stochastic and Holistic Method to Support Decision-Making in Early Building Design

    DEFF Research Database (Denmark)

    Østergaard, Torben; Maagaard, Steffen; Jensen, Rasmus Lund

    2015-01-01

    The use of holistic certification tools is increasing and requirements in legislation are continuously being tightened. This calls for a holistic simulation approach in the early design phase where input uncertainties are large and decisions are crucial to the performance. An iterative parametric...... method is proposed: 1) Assign uniform distributions to uncertain design inputs of interest; 2) Perform sensitivity analysis (SA) by the method of Morris to rank input by relative importance; 3) Run Monte Carlo simulations to explore the entire design domain; 4) Apply Monte Carlo filtering to identify...

  8. Clinical Holistic Medicine: Chronic Pain in the Locomotor System

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2005-01-01

    Full Text Available Most pains from the locomotor system arise due to involuntary, chronic tensions in the muscles or other tissues. When the patient is motivated, the pain is easily cured in most of the cases by using the tools of consciousness-based medicine, primarily therapeutic touch, conversation, and coaching the patient in a positive philosophy of life. The pains are often caused by “blockages” that may cause problems other than just pain. Often it turns out that the blocked areas develop actual physical damage over time: a slipped disk in the back, articular degeneration, or osteoarthritis when the cartilage is affected, can often be explained in this way. Apparently, the exact areas where the blockage is situated cause cellular problems, disrupting cellular order. The holistic process theory of healing and the related quality of life theories state that return to the natural state of being is possible, whenever the person gets the resources needed for existential healing. The resources needed are “holding” in the dimensions of awareness, respect, care, acknowledgment, and acceptance with support and processing in the dimensions of feeling, understanding, and letting go of negative attitudes and beliefs. The preconditions for holistic healing are trust and the intention for the healing to take place. Case stories of holistic treatment of patients with chronic back pain, low back pain, muscle problems, knee pain, and symptoms of rheumatoid arthritis are discussed with exercises relevant for patients with these conditions in the holistic clinic.

  9. Holistic Cyber-Physical Management for Dependable Wireless Control Systems

    OpenAIRE

    Ma, Yehan; Gunatilaka, Dolvara; Li, Bo; Gonzalez, Humberto; Lu, Chenyang

    2017-01-01

    Wireless sensor-actuator networks (WSANs) are gaining momentum in industrial process automation as a communication infrastructure for lowering deployment and maintenance costs. In traditional wireless control systems the plant controller and the network manager operate in isolation, which ignore the significant influence of network reliability on plant control performance. To enhance the dependability of industrial wireless control, we propose a holistic cyber-physical management framework th...

  10. Clinical holistic medicine: factors influencing the therapeutic decision-making. From academic knowledge to emotional intelligence and spiritual "crazy" wisdom.

    Science.gov (United States)

    Ventegodt, Søren; Kandel, Isack; Merrick, Joav

    2007-12-10

    Scientific holistic medicine is built on holistic medical theory, on therapeutic and ethical principles. The rationale is that the therapist can take the patient into a state of salutogenesis, or existential healing, using his skills and knowledge. But how ever much we want to make therapy a science it remains partly an art, and the more developed the therapist becomes, the more of his/her decisions will be based on intuition, feeling and even inspiration that is more based on love and human concern and other spiritual motivations than on mental reason and rationality in a simple sense of the word. The provocative and paradoxal medieval western concept of the "truth telling clown", or the eastern concepts of "crazy wisdom" and "holy madness" seems highly relevant here. The problem is how we can ethically justify this kind of highly "irrational" therapeutic behavior in the rational setting of a medical institution. We argue here that holistic therapy has a very high success rate and is doing no harm to the patient, and encourage therapists, psychiatrists, psychologist and other academically trained "helpers" to constantly measure their own success-rate. This paper discusses many of the important factors that influence clinical holistic decision-making. Sexuality could, as many psychoanalysts from Freud to Reich and Searles have believed, be the most healing power that exists and also the most difficult for the mind to comprehend, and thus the most "crazy-wise" tool of therapy.

  11. Decision time for clinical decision support systems.

    Science.gov (United States)

    O'Sullivan, Dympna; Fraccaro, Paolo; Carson, Ewart; Weller, Peter

    2014-08-01

    Clinical decision support systems are interactive software systems designed to help clinicians with decision-making tasks, such as determining a diagnosis or recommending a treatment for a patient. Clinical decision support systems are a widely researched topic in the computer science community, but their inner workings are less well understood by, and known to, clinicians. This article provides a brief explanation of clinical decision support systems and some examples of real-world systems. It also describes some of the challenges to implementing these systems in clinical environments and posits some reasons for the limited adoption of decision-support systems in practice. It aims to engage clinicians in the development of decision support systems that can meaningfully help with their decision-making tasks and to open a discussion about the future of automated clinical decision support as a part of healthcare delivery. © 2014 Royal College of Physicians.

  12. Decision support systems

    DEFF Research Database (Denmark)

    Jørgensen, L.N.; Noe, E.; Langvad, A.M.

    2007-01-01

    by these three groups to make their decisions varies and therefore different ways of using decision support systems need to be provided. Decision support systems need to be developed in close dialogue and collaboration with user groups.......The highly complex knowledge of scientific disciplines makes nuanced analysis and modelling possible. However, the information produced often does not reach farmers because it is presented in a way that does not correspond to the way their work is carried out in practice. The decision support...... 1000 farmers). A sociological investigation of farmers' decision-making styles in the area of crop protection has shown that arable farmers can be divided into three major groups: (a) system-orientated farmers, (b) experience-based farmers and (c) advisory-orientated farmers. The information required...

  13. Tactical Decision Making and Decision Support Systems.

    Science.gov (United States)

    Harmon, Joel I.

    1986-01-01

    The use of computerized decision support systems in higher education for making tactical institutional decisions is reviewed, with attention to the kind of administrative problems that lie somewhere between programmed to nonprogrammed decisions and require a combination of computer support and administrative judgment. (MSE)

  14. Rationality and Irrationality in Ryke Geerd Hamer's System for Holistic Treatment of Metastatic Cancer

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2005-01-01

    Full Text Available The aim of this paper is to examine if the “medical laws” found by the German physician Ryke Geerd Hamer are substantiated by contemporary holistic medical theory. He developed a psychosomatic theory after a personal emotional trauma that he believed resulted in his subsequent development of a testicular cancer. From our analysis, it is clear that the two most fundamental principles of Hamer's work, the psychosomatic “iron law of cancer” (Hamer's first “law” and the principle of pathogenesis being reversed into salutogenesis (Hamer's second “law”, are well-established principles of holistic medicine today. Hamer's understanding of symbols in medicine, virus and bacteria, and the evolutionary process itself (Hamer's third, fourth, and fifth “law” differs a great deal from both traditional and contemporary holistic medical theory and we did not find them substantiated. Hamer's understanding of cancer metastasis was built on these failing principles and therefore not substantiated either. Altogether, it seems that Hamer's thinking was basically sound as the most fundamental principles of his work were built on an understanding very similar to holistic medical thinkers of today. We found his postulate that metastatic cancer patients can be healed or their health improved by using his system of holistic medicine likely to be true, at least for some motivated patients. This must be tested scientifically, however, before being accepted. His presentation of his system and work has been idiosyncratic and highly provocative, which has alienated him from the whole medical community.

  15. The Faculty Perspective on Holistic and Systems Thinking in American and Australian Mechanical Engineering Programmes

    Science.gov (United States)

    Kellam, N. N.; Maher, M. A.; Peters, W. H.

    2008-01-01

    This research effort examined current mechanical engineering educational programmes in America and Australia to determine the degree of holistic, systems thinking of each programme. Faculty from ten American universities and ten Australian universities participated in online surveys and interviews. Resulting data analysis and interpretation…

  16. Holistic School Leadership: Systems Thinking as an Instructional Leadership Enabler

    Science.gov (United States)

    Shaked, Haim; Schechter, Chen

    2016-01-01

    As instructional leadership involves attempts to understand and improve complex systems, this study explored principals' perceptions regarding possible contributions of systems thinking to instructional leadership. Based on a qualitative analysis, systems thinking was perceived by middle and high school principals to contribute to the following…

  17. Holistic Evaluation of Lightweight Operating Systems using the PERCU Method

    Energy Technology Data Exchange (ETDEWEB)

    Kramer, William T.C.; He, Yun (Helen); Carter, Jonathan; Glenski, Joseph; Rippe, Lynn; Cardo, Nicholas

    2008-05-01

    The scale of Leadership Class Systems presents unique challenges to the features and performance of operating system services. This paper reports results of comprehensive evaluations of two Light Weight Operating Systems (LWOS), Cray's Catamount Virtual Node (CVN) and Linux Environment (CLE) operating systems, on the exact same large-scale hardware. The evaluation was carried out over a 5-month period on NERSC's 19,480 core Cray XT-4, Franklin, using a comprehensive evaluation method that spans Performance, Effectiveness, Reliability, Consistency and Usability criteria for all major subsystems and features. The paper presents the results of the comparison between CVN and CLE, evaluates their relative strengths, and reports observations regarding the world's largest Cray XT-4 as well.

  18. Development of a Holistic Evaluation System for BIPV Façades

    Directory of Open Access Journals (Sweden)

    Thorsten Schuetze

    2015-06-01

    Full Text Available Façades with building-integrated photovoltaics (BIPV have the advantage that they can produce renewable electric energy. Compared with conventional façades, BIPV façades have therefore a valuable additional property that can generally contribute to increasing the degree of sustainability of buildings. A holistic assessment system for BIPV façade systems for office and administration buildings was developed in the framework of the project “MULTIELEMENT II” at the Fraunhofer Institute for Wind Energy and Energy System Technology (IWES in Kassel, Germany. The aim of this research was a comparison of conventional façade systems with BIPV façade systems regarding different technical, economical, sustainability, and design criteria. This paper discusses the basic conditions for a holistic evaluation of BIPV façades in comparison with conventional façades. A method for the execution of a holistic evaluation and characteristic values for a comparison interpretation of results is presented. Façade systems are evaluated regarding both quantifiable and non-quantifiable properties by means of a Microsoft Excel-based evaluation tool. The tool facilitates the comparison and evaluation of planned or built façades with and without BIPV. The detailed evaluation results aim to facilitate the certification of BIPV façade systems in the framework of sustainable building certification systems such as the German DGNB.

  19. A Holistic Approach to Networked Information Systems Design and Analysis

    Science.gov (United States)

    2016-04-15

    approximate dynamic program- ming algorithm that we call one-step rollout algorithm (ORA) We show that ORA results in an optimal solution extremely close to...cient Data Centers,” IIE Transactions (to appear), 2015 J13 Jonathan Ponniah, Yih-Chun Hu and P. R. Kumar, “A System-Theoretic Clean Slate Approach to...Machinery (Kumar) • Research highlighted in Industrial Engineer magazine (for potentially impactful journal articles among those that appear in IIE

  20. Clinical Holistic Medicine: Factors Influencing The Therapeutic Decision-Making. From Academic Knowledge to Emotional Intelligence and Spiritual “Crazy” Wisdom

    OpenAIRE

    Søren Ventegodt; Isack Kandel; Joav Merrick

    2007-01-01

    Scientific holistic medicine is built on holistic medical theory, on therapeutic and ethical principles. The rationale is that the therapist can take the patient into a state of salutogenesis, or existential healing, using his skills and knowledge. But how ever much we want to make therapy a science it remains partly an art, and the more developed the therapist becomes, the more of his/her decisions will be based on intuition, feeling and even inspiration that is more based on love and human ...

  1. Clinical Holistic Medicine: Holistic Rehabilitation

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2005-01-01

    Full Text Available Quality of life, health, and ability are often lost at the same time and most often in one decaying existential movement over 5 or 10 years. This “lost life” is mostly too slow to be felt as life threatening, but once awakened to reality, it provokes the deepest of fears in patients: the fear of death itself and destruction of our mere existence. The horrible experience of having “lost life””, often without even noticing how it happened, can be turned into a strong motivation for improvement. Personal development is about finding the life deeply hidden within in order to induce revitalization and rehabilitation. Rehabilitation is about philosophy of life with the integration of the repressed painful feelings and emotions from the past and the letting go of the associated negative beliefs and decisions. The holistic medical toolbox builds on existential theories (the quality of life theories, the life mission theory, the theory of character, the theory of talent, and the holistic process theory and seems to have the power to rehabilitate the purpose of life, the character of the person, and fundamental existential dimensions of man: (1 love; (2 strength of mind, feelings, and body; and 3 joy, gender, and sexuality; allowing the person once again to express and realize his talents and full potential. The principles of rehabilitation are not very different from other healing, but the task is often more demanding for the holistic physician as the motivation and resources often are very low and the treatment can take many years.

  2. Decision table languages and systems

    CERN Document Server

    Metzner, John R

    1977-01-01

    ACM Monograph Series: Decision Table Languages and Systems focuses on linguistic examination of decision tables and survey of the features of existing decision table languages and systems. The book first offers information on semiotics, programming language features, and generalization. Discussions focus on semantic broadening, outer language enrichments, generalization of syntax, limitations, implementation improvements, syntactic and semantic features, decision table syntax, semantics of decision table languages, and decision table programming languages. The text then elaborates on design im

  3. The system-biological GLOBE 3D Genome Platform. : A new holistic genome viewer for molecular genetics

    NARCIS (Netherlands)

    M. Lesnussa (Michael); F.N. Kepper (Nick); H.J.F.M.M. Eussen (Bert); T.A. Knoch (Tobias)

    2009-01-01

    textabstractGenomes are tremendous co-evolutionary holistic systems for molecular storage, processing and fabrication of information. Their system-biological complexity remains, however, still largely mysterious, despite immense sequencing achievements and huge advances in the understanding of the

  4. Holistic Privacy-Preserving Identity Management System for the Internet of Things

    OpenAIRE

    Bernal Bernabe, Jorge; Hernandez-Ramos, Jose L.; Skarmeta Gomez, Antonio F.

    2017-01-01

    Security and privacy concerns are becoming an important barrier for large scale adoption and deployment of the Internet of Things. To address this issue, the identity management system defined herein provides a novel holistic and privacy-preserving solution aiming to cope with heterogeneous scenarios that requires both traditional online access control and authentication, along with claim-based approach for M2M (machine to machine) interactions required in IoT. It combines a cryptographic app...

  5. Clinical decision modeling system

    Directory of Open Access Journals (Sweden)

    Lyons-Weiler James

    2007-08-01

    Full Text Available Abstract Background Decision analysis techniques can be applied in complex situations involving uncertainty and the consideration of multiple objectives. Classical decision modeling techniques require elicitation of too many parameter estimates and their conditional (joint probabilities, and have not therefore been applied to the problem of identifying high-performance, cost-effective combinations of clinical options for diagnosis or treatments where many of the objectives are unknown or even unspecified. Methods We designed a Java-based software resource, the Clinical Decision Modeling System (CDMS, to implement Naïve Decision Modeling, and provide a use case based on published performance evaluation measures of various strategies for breast and lung cancer detection. Because cost estimates for many of the newer methods are not yet available, we assume equal cost. Our use case reveals numerous potentially high-performance combinations of clinical options for the detection of breast and lung cancer. Results Naïve Decision Modeling is a highly practical applied strategy which guides investigators through the process of establishing evidence-based integrative translational clinical research priorities. CDMS is not designed for clinical decision support. Inputs include performance evaluation measures and costs of various clinical options. The software finds trees with expected emergent performance characteristics and average cost per patient that meet stated filtering criteria. Key to the utility of the software is sophisticated graphical elements, including a tree browser, a receiver-operator characteristic surface plot, and a histogram of expected average cost per patient. The analysis pinpoints the potentially most relevant pairs of clinical options ('critical pairs' for which empirical estimates of conditional dependence may be critical. The assumption of independence can be tested with retrospective studies prior to the initiation of

  6. Clinical decision support systems.

    Science.gov (United States)

    Beeler, Patrick Emanuel; Bates, David Westfall; Hug, Balthasar Luzius

    2014-01-01

    Clinical decision support (CDS) systems link patient data with an electronic knowledge base in order to improve decision-making and computerised physician order entry (CPOE) is a requirement to set up electronic CDS. The medical informatics literature suggests categorising CDS tools into medication dosing support, order facilitators, point-of-care alerts and reminders, relevant information display, expert systems and workflow support. To date, CDS has particularly been recognised for improving processes. CDS successfully fostered prevention of deep-vein thrombosis, improved adherence to guidelines, increased the use of vaccinations, and decreased the rate of serious medication errors. However, CDS may introduce errors, and therefore the term "e-iatrogenesis" has been proposed to address unintended consequences. At least two studies reported severe treatment delays due to CPOE and CDS. In addition, the phenomenon of "alert fatigue" - arising from a high number of CDS alerts of low clinical significance - may facilitate overriding of potentially critical notifications. The implementation of CDS needs to be carefully planned, CDS interventions should be thoroughly examined in pilot wards only, and then stepwise introduced. A crucial feature of CPOE in combination with CDS is speed, since time consumption has been found to be a major factor determining failure. In the near future, the specificity of alerts will be improved, notifications will be prioritised and offer detailed advice, customisation of CDS will play an increasing role, and finally, CDS is heading for patient-centred decision support. The most important research question remains whether CDS is able to improve patient outcomes beyond processes.

  7. Reinforcement and Systemic Machine Learning for Decision Making

    CERN Document Server

    Kulkarni, Parag

    2012-01-01

    Reinforcement and Systemic Machine Learning for Decision Making There are always difficulties in making machines that learn from experience. Complete information is not always available-or it becomes available in bits and pieces over a period of time. With respect to systemic learning, there is a need to understand the impact of decisions and actions on a system over that period of time. This book takes a holistic approach to addressing that need and presents a new paradigm-creating new learning applications and, ultimately, more intelligent machines. The first book of its kind in this new an

  8. Clinical Holistic Medicine: Factors Influencing The Therapeutic Decision-Making. From Academic Knowledge to Emotional Intelligence and Spiritual “Crazy” Wisdom

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2007-01-01

    Full Text Available Scientific holistic medicine is built on holistic medical theory, on therapeutic and ethical principles. The rationale is that the therapist can take the patient into a state of salutogenesis, or existential healing, using his skills and knowledge. But how ever much we want to make therapy a science it remains partly an art, and the more developed the therapist becomes, the more of his/her decisions will be based on intuition, feeling and even inspiration that is more based on love and human concern and other spiritual motivations than on mental reason and rationality in a simple sense of the word. The provocative and paradoxal medieval western concept of the “truth telling clown”, or the eastern concepts of “crazy wisdom” and “holy madness” seems highly relevant here. The problem is how we can ethically justify this kind of highly “irrational” therapeutic behavior in the rational setting of a medical institution. We argue here that holistic therapy has a very high success rate and is doing no harm to the patient, and encourage therapists, psychiatrists, psychologist and other academically trained “helpers” to constantly measure their own success-rate. This paper discusses many of the important factors that influence clinical holistic decision-making. Sexuality could, as many psychoanalysts from Freud to Reich and Searles have believed, be the most healing power that exists and also the most difficult for the mind to comprehend, and thus the most “crazy-wise” tool of therapy.

  9. Hierarchical scaling of marketing decision support systems, Decision Support Systems

    NARCIS (Netherlands)

    B. Wierenga (Berend); P.A.M. Oude Ophuis (Peter); K.R.E. Huizingh; P.F.A.M. Campen, van

    1994-01-01

    textabstractMarketing Decision Support Systems (MDSS) show a large variety in functionality and form. In this paper a scale is developed that measures the sophistication of a Marketing Decision Support System. This scale, based on Guttman's Scalogram Analysis, is hierarchical in nature: more

  10. Connecting Earth Systems: Developing Holistic Understanding through the Earth-System-Science Model

    Science.gov (United States)

    Gagnon, Valoree; Bradway, Heather

    2012-01-01

    For many years, Earth science concepts have been taught as thematic units with lessons in nice, neat chapter packages complete with labs and notes. But compartmentalized Earth science no longer exists, and implementing teaching methods that support student development of holistic understandings can be a time-consuming and difficult task. While…

  11. Force Protection of Maritime Units: The Decision-Making Process of the Italian Navy - The Holistic Approach

    Science.gov (United States)

    2006-09-25

    introduces an innovative management theory , denominated Evidence Based Management, that overcomes the old theories by suggesting a new approach that...like to stress the importance of the newly introduced Evidence Based Management theory , which allows to achieve speed whilst keeping decision makers...making system • High speed of execution • Evidence Based Management theory in line with this approach • Operational and tactical measures: – Port

  12. Clean by Nature. Lively Surfaces and the Holistic-Systemic Heritage of Contemporary Bionik.

    Directory of Open Access Journals (Sweden)

    Jan Mueggenburg

    2014-09-01

    Full Text Available This paper addresses questions regarding the prospering field of Bionik in Germany. Its starting point is the wide spread assumption that universal functional principles exist in nature and that these ‘solutions’ can be transferred into technological objects. Accordingly, advocates of Bionik herald the advent of a better world with more sustainable and efficient products of engineering. The so-called ‘functional surfaces’ occupy a special place within this contemporary version of biomimesis. Shark-skin-inspired swim suits, self-cleaning façade paints with lotus effect or drag reducing Dolphin-Skins for aircraft-wings are expected to improve the quality of life for everyone. It seems that skin and shell of living systems return as revenants to our technological world and live their afterlives as lively surfaces of everyday objects. This paper argues however, that understanding this attention to ‘natural engineering solutions’ in contemporary Bionik, one needs to focus on a different kind of afterlife. For baring the historic-epistemological roots allows fathoming direct connections to two widely influential historical concepts within the history of science in the 20th century: Biotechnik, a very popular bio-philosophical concept from the Weimar Republic of the 1920s and Bionics, an in many ways similar endeavor that emerged during the second wave of Cybernetics in the USA from around 1960. Both historical concepts share a certain proximity to a distinct holistic-systemic style of thinking that emerged during the 20th century and still resonates with the movement of Bionik in contemporary Germany. Based on the example of the lotus effect, I want to address three aspects of the afterlife of this holistic-systemic heritage in contemporary Bionik. First, the assumption that the best engineering solutions can be found in nature conceals the specific discursive and non-discursive complexity that forms the basis of all technological objects

  13. Financial Decision Making Support System

    OpenAIRE

    Lobanova, E. N.; Zmitrovich, A. I.; Voshevoz, A. A.; Krivko-Krasko, A. V.

    2010-01-01

    In this article we consider concepts and components of the Financial Decision Making System that is being developed in the Institute of Business and Management Technology, BSU. Such system can be successfully used either for training experts in financial analytics and financial management or for financial managers and financial directors in an enterprise for the effective financial decision making.

  14. Strategic Decision Making and Group Decision Support Systems.

    Science.gov (United States)

    McGrath, Michael Robert

    1986-01-01

    Institutional strategic decisions require the participation of every individual with a significant stake in the solution, and group decision support systems are being developed to respond to the political and consensual problems of collective decision-making. (MSE)

  15. Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems.

    Science.gov (United States)

    Scholze, Sebastian; Barata, Jose; Stokic, Dragan

    2017-02-24

    Highly flexible manufacturing systems require continuous run-time (self-) optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self-) optimization in manufacturing systems is the usage of the context sensitivity approach based on data streaming from high amount of sensors and other data sources. Cyber-physical systems play an important role as sources of information to achieve context sensitivity. Cyber-physical systems can be seen as complex intelligent sensors providing data needed to identify the current context under which the manufacturing system is operating. In this paper, it is demonstrated how context sensitivity can be used to realize a holistic solution for (self-) optimization of discrete flexible manufacturing systems, by making use of cyber-physical systems integrated in manufacturing systems/processes. A generic approach for context sensitivity, based on self-learning algorithms, is proposed aiming at a various manufacturing systems. The new solution encompasses run-time context extractor and optimizer. Based on the self-learning module both context extraction and optimizer are continuously learning and improving their performance. The solution is following Service Oriented Architecture principles. The generic solution is developed and then applied to two very different manufacturing processes.

  16. Holistic Context-Sensitivity for Run-Time Optimization of Flexible Manufacturing Systems

    Directory of Open Access Journals (Sweden)

    Sebastian Scholze

    2017-02-01

    Full Text Available Highly flexible manufacturing systems require continuous run-time (self- optimization of processes with respect to diverse parameters, e.g., efficiency, availability, energy consumption etc. A promising approach for achieving (self- optimization in manufacturing systems is the usage of the context sensitivity approach based on data streaming from high amount of sensors and other data sources. Cyber-physical systems play an important role as sources of information to achieve context sensitivity. Cyber-physical systems can be seen as complex intelligent sensors providing data needed to identify the current context under which the manufacturing system is operating. In this paper, it is demonstrated how context sensitivity can be used to realize a holistic solution for (self- optimization of discrete flexible manufacturing systems, by making use of cyber-physical systems integrated in manufacturing systems/processes. A generic approach for context sensitivity, based on self-learning algorithms, is proposed aiming at a various manufacturing systems. The new solution encompasses run-time context extractor and optimizer. Based on the self-learning module both context extraction and optimizer are continuously learning and improving their performance. The solution is following Service Oriented Architecture principles. The generic solution is developed and then applied to two very different manufacturing processes.

  17. Decision Support Systems in Libraries.

    Science.gov (United States)

    Heindel, Allan; Napier, H. Albert

    Following a review of the contributions of computers and managerial science/operations research to the management of libraries, this paper introduces the concept of decision support systems. DSS, a blending of these techniques, can lead to more effective decisions by library managers. A case study of the utilization of a DSS in the budgeting…

  18. Proposal for Holistic Assessment of Urban System Resilience to Natural Disasters

    Science.gov (United States)

    Koren, David; Kilar, Vojko; Rus, Katarina

    2017-10-01

    Urban system is a complex mix of interdependent components and dynamic interactions between them that enable it to function effectively. Resilience of urban system indicates the ability of a system to resist, absorb, accommodate to and recover from the effects of a hazard in a timely and efficient manner. In the relevant literature, most studies consider individual components separately. On the other hand, the purpose of this paper is to assess the urban system as a whole, considering all relevant components and their interactions. The goal is a study of possibilities for holistic evaluation of urban system resilience to natural disasters. Findings from the preliminary study are presented: (i) the definition of urban system and categorization of its components, (ii) a set of attributes of individual components with impact on disaster resilience of the entire system and (iii) review of different methods and approaches for resilience assessment. Based on literature review and extensive preliminary studies a new conceptual framework for urban resilience assessment is proposed. In the presented paper, a conceptual model of urban system by abstraction of its components as nodes (buildings), patches - specific nodes with spatial properties (open space), links (infrastructures) and base layer (community) is created. In the suggested model, each component is defined by its own quantitative attributes, which have been identified to have an important impact on the urban system resilience to natural disasters. System is presented as a mathematical graph model. Natural disaster is considered an external factor that affects the existing system and leads to some system distortion. In further analyses, mathematical simulation of various natural disasters scenarios is going to be carried out, followed by comparison of the system functionality before and after the accident. Various properties of the system (accessibility, transition, complexity etc.) are going to be analysed with

  19. Holistic Privacy-Preserving Identity Management System for the Internet of Things

    Directory of Open Access Journals (Sweden)

    Jorge Bernal Bernabe

    2017-01-01

    Full Text Available Security and privacy concerns are becoming an important barrier for large scale adoption and deployment of the Internet of Things. To address this issue, the identity management system defined herein provides a novel holistic and privacy-preserving solution aiming to cope with heterogeneous scenarios that requires both traditional online access control and authentication, along with claim-based approach for M2M (machine to machine interactions required in IoT. It combines a cryptographic approach for claim-based authentication using the Idemix anonymous credential system, together with classic IdM mechanisms by relying on the FIWARE IdM (Keyrock. This symbiosis endows the IdM system with advanced features such as privacy-preserving, minimal disclosure, zero-knowledge proofs, unlikability, confidentiality, pseudonymity, strong authentication, user consent, and offline M2M transactions. The IdM system has been specially tailored for the Internet of Things bearing in mind the management of both users’ and smart objects’ identity. Moreover, the IdM system has been successfully implemented, deployed, and tested in the scope of SocIoTal European research project.

  20. Influencing holistic health policy.

    Science.gov (United States)

    Bell, Erica

    2007-09-17

    Beliefs that health policy-making is an inherently 'ideological' or 'irrational' process appear to have worked to prevent researchers from developing better understandings of the kind of evidence that does work to influence policy. Without a model of policy-making that positions policy decision-makers as capable of being informed by specific forms of evidence that speak to policy contexts, it is difficult for research to begin to shape health policy. Recent years have seen the development of a research industry that focuses on developing and describing research approaches for shaping health and social services policy. This analysis paper offers a highly selective overview of generic features of policy-relevant research for holistic health. It aims to support efforts to develop better evidence for health policy by exploring elements of the genre of policy-relevant research, particularly as it applies to the challenges of holistic health policy-making. First, it offers a conceptual definition of holistic health policy-making, as well as research evidence for this kind of policy making, identifying some of the generic features of policy-relevant research. Second, it outlines some of the key practices for delivering sound evidence for health policy, in ways that highlight the salient differences between doing research for holistic health policy, and doing academic research in health. The paper concludes with directions for developing better evidence for holistic health policy-making that question the assumptions of quality which often inform elite funding agencies, calling for their diversification.

  1. Systems Pharmacology Dissecting Holistic Medicine for Treatment of Complex Diseases: An Example Using Cardiocerebrovascular Diseases Treated by TCM

    Directory of Open Access Journals (Sweden)

    Yonghua Wang

    2015-01-01

    Full Text Available Holistic medicine is an interdisciplinary field of study that integrates all types of biological information (protein, small molecules, tissues, organs, external environmental signals, etc. to lead to predictive and actionable models for health care and disease treatment. Despite the global and integrative character of this discipline, a comprehensive picture of holistic medicine for the treatment of complex diseases is still lacking. In this study, we develop a novel systems pharmacology approach to dissect holistic medicine in treating cardiocerebrovascular diseases (CCDs by TCM (traditional Chinese medicine. Firstly, by applying the TCM active ingredients screened out by a systems-ADME process, we explored and experimentalized the signed drug-target interactions for revealing the pharmacological actions of drugs at a molecule level. Then, at a/an tissue/organ level, the drug therapeutic mechanisms were further investigated by a target-organ location method. Finally, a translational integrating pathway approach was applied to extract the diseases-therapeutic modules for understanding the complex disease and its therapy at systems level. For the first time, the feature of the drug-target-pathway-organ-cooperations for treatment of multiple organ diseases in holistic medicine was revealed, facilitating the development of novel treatment paradigm for complex diseases in the future.

  2. Decision Support Systems: Theory.

    Science.gov (United States)

    1976-01-01

    Henry , Man-Machine System Experiments. Baltimore: Johns Hopkins Press , 1972. Parsons , Talcott , Structure and Process in Modern Societies, The Free...B146-155, Dec. 1965. Heany, D. F. , " Education - The Critical Link in Getting Managers to Use Management Systems." Interfaces, Vol. 2, No. 3, pp. 1...34Toward a Psychological Theory of Education ," of Humanistic Psychology, Vol. IX, No. 1, pp. 17-52, 1969. Mogni, Ben , "The Computer’s Role in Marketing

  3. Has Retrieval Technology in Vertical Site Search Systems Improved over the Years? A Holistic Evaluation for Real Web Systems

    Directory of Open Access Journals (Sweden)

    Mandl, Thomas

    2015-12-01

    Full Text Available Evaluation of retrieval systems is mostly limited to laboratory settings and rarely considers changes of performance over time. This article presents an evaluation of retrieval systems for internal Web site search systems between the years 2006 and 2011. A holistic evaluation methodology for real Web sites was developed which includes tests for functionality, search quality, and user interaction. Among other sites, one set of 20 Web site search systems was evaluated three times in different years and no substantial improvement could be shown. It is surprising that the communication between site and user still leads to very poor results in many cases. Overall, the quality of these search systems could be improved, and several areas for improvement are apparent from our evaluation. For a comparison, Google’s site search function was also tested with the same tasks.

  4. A Review and Integrative Analysis of Ancient Holistic Character Medicine Systems

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2007-01-01

    Full Text Available The ancient holistic medical systems help the patient by balancing the “elements” of the human character. This work aims to understand the nature of these elements and the process of the physician balancing them. Using the concept of poly-ray cosmology we see that the medical systems from ancient India, China and Greek basically share the same inner structure and also the same logic of the treatment processes. We analyze the double concept of yin-yang, the Ayurvedic triadic concepts of Pitta, Kapha and Vata, the four elements of Hippocratic humoral medicine, and the five elements of Chinese medicine, and find that each of these conceptual frameworks make up a “theory” or model of the world that is a perfect wholeness, allowing the physician to interpret the world and his patient in order to identify the imbalances of his or her character that need to be treated. Independently of the system this can be a palliative treatment, if energies are only balanced in present time, or a causal cure if the physician is using the similarity principle to take his patient into regression back to the events in the personal history that originally created the imbalances (the traumas. To help the patient back to the traumas he is exposed to a small dose of the original harming stimulus; this can be an internal process like visualization supported by the therapist words, or an external process provoked by his actions. If the physician is balancing the elements without such a healing of the patient's existential core this can still momentarily help the patient by alleviating the symptoms, but it will not have a permanent effect.

  5. Voting systems for environmental decisions.

    Science.gov (United States)

    Burgman, Mark A; Regan, Helen M; Maguire, Lynn A; Colyvan, Mark; Justus, James; Martin, Tara G; Rothley, Kris

    2014-04-01

    Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. © 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology.

  6. Influencing Holistic Health Policy

    Directory of Open Access Journals (Sweden)

    Erica Bell

    2007-01-01

    Full Text Available Beliefs that health policy-making is an inherently ‘ideological’ or ‘irrational’ process appear to have worked to prevent researchers from developing better understandings of the kind of evidence that does work to influence policy. Without a model of policy-making that positions policy decision-makers as capable of being informed by specific forms of evidence that speak to policy contexts, it is difficult for research to begin to shape health policy. Recent years have seen the development of a research industry that focuses on developing and describing research approaches for shaping health and social services policy. This analysis paper offers a highly selective overview of generic features of policy-relevant research for holistic health. It aims to support efforts to develop better evidence for health policy by exploring elements of the genre of policy-relevant research, particularly as it applies to the challenges of holistic health policy-making. First, it offers a conceptual definition of holistic health policy-making, as well as research evidence for this kind of policy making, identifying some of the generic features of policy-relevant research. Second, it outlines some of the key practices for delivering sound evidence for health policy, in ways that highlight the salient differences between doing research for holistic health policy, and doing academic research in health. The paper concludes with directions for developing better evidence for holistic health policy-making that question the assumptions of quality which often inform elite funding agencies, calling for their diversification.

  7. Customer Decision Support Systems: Resources for Student Decision Making

    OpenAIRE

    Cara Okleshen Peters, Ph.D.; David A. Bradbard, Ph.D.; Mary C. Martin, Ph.D.

    2005-01-01

    This paper highlights the potential of customer decision support systems (CDSS) to assist students in education-related decision making. Faculty can use these resources to more effectively advise students on various elements of college life, while students can employ them to more actively participate in their own learning and improve their academic experience. This conceptual paper summarizes consumer decision support systems (CDSS) concepts and presents exemplar websites students could utili...

  8. Customer Decision Support Systems: Resources for Student Decision Making

    Directory of Open Access Journals (Sweden)

    Cara Okleshen Peters, Ph.D.

    2005-07-01

    Full Text Available This paper highlights the potential of customer decision support systems (CDSS to assist students in education-related decision making. Faculty can use these resources to more effectively advise students on various elements of college life, while students can employ them to more actively participate in their own learning and improve their academic experience. This conceptual paper summarizes consumer decision support systems (CDSS concepts and presents exemplar websites students could utilize to support their education-related decision making. Finally, the authors discuss the potential benefits and drawbacks such resources engender from a student perspective and conclude with directions for future research.

  9. Lymph node inspired computing: towards holistic immune system inspired algorithms for human-engineered complex systems

    OpenAIRE

    Banerjee, Soumya

    2017-01-01

    The immune system is a distributed decentralized system that functions without any centralized control. The immune system has millions of cells that function somewhat independently and can detect and respond to pathogens with considerable speed and efficiency. Lymph nodes are physical anatomical structures that allow the immune system to rapidly detect pathogens and mobilize cells to respond to it. Lymph nodes function as: 1) information processing centers, and 2) a distributed detection and ...

  10. A new holistic approach to vulnerability assessment to natural hazards of socio-economic systems by means of Graph Theory

    Science.gov (United States)

    Arosio, Marcello; Martina, Mario L. V.

    2017-04-01

    In the last years, the relations and interactions between multi-hazards, vulnerability, exposure and resilience spheres are assuming more and more attention and the scientific community recognized that they are very dynamic, complex and interconnected. The traditional approaches define risk as the potential economic, social and environmental consequences due to a hazardous phenomenon in a specific period. Although there have been major improvements in recent years, there are still some limitation in term of a holistic approach that is able to include the emergent value hidden in the relation and interaction between the different spheres. Furthermore, the emergent behaviour of a society makes the collective risk greater than the sum of the parts and this requires a holistic, systematic and integrated approach. For this reason, it is important to consider the connections between elements to assess properly the vulnerability of systems. In a system (e.g. road, hospital and ecological network, etc.), or in a System of System (e.g. socio-technical urban service), there are critical elements that, beyond the intrinsic vulnerability, can be characterize by greater or lower vulnerability because of their physical, geographical, cyber or logical connections. To understand the system response to a perturbation, and therefore its resilience, is necessary not only to represent but also to quantify the relative importance of the elements and their interconnections. To this aim, we propose an innovative approach in the field of natural risk assessment based on the properties of graph G=(N,L). A graph consists of two sets N (nodes) and L (links): the nodes represent the single exposed elements (physical, social, environmental, etc.) to a hazard, while the links (or connections) represent the interaction between the elements. This approach encourages the risk assessment to a new prospective: from reductionist to holistic. The final goal is to provide insight in understanding how

  11. Optimal Systems for Information and Decision,

    Science.gov (United States)

    INFORMATION THEORY, OPTIMIZATION), CODING, STATISTICAL ANALYSIS, SYSTEMS ENGINEERING, DECISION THEORY, SOCIAL COMMUNICATION, DATA STORAGE SYSTEMS, DATA TRANSMISSION SYSTEMS , MATHEMATICAL MODELS, DECODING, COSTS

  12. Holistics 3.0 for Health

    Directory of Open Access Journals (Sweden)

    David John Lary

    2014-07-01

    Full Text Available Human health is part of an interdependent multifaceted system. More than ever, we have increasingly large amounts of data on the body, both spatial and non-spatial, its systems, disease and our social and physical environment. These data have a geospatial component. An exciting new era is dawning where we are simultaneously collecting multiple datasets to describe many aspects of health, wellness, human activity, environment and disease. Valuable insights from these datasets can be extracted using massively multivariate computational techniques, such as machine learning, coupled with geospatial techniques. These computational tools help us to understand the topology of the data and provide insights for scientific discovery, decision support and policy formulation. This paper outlines a holistic paradigm called Holistics 3.0 for analyzing health data with a set of examples. Holistics 3.0 combines multiple big datasets set in their geospatial context describing as many areas of a problem as possible with machine learning and causality, to both learn from the data and to construct tools for data-driven decisions.

  13. DECISIONS, METHODS AND TECHNIQUES RELATED TO DECISION SUPPORT SYSTEMS (DSS

    Directory of Open Access Journals (Sweden)

    Boghean Florin

    2015-07-01

    Full Text Available Generalised uncertainty, a phenomenon that today’s managers are facing as part of their professional experience, makes it impossible to anticipate the way the business environment will evolve or what will be the consequences of the decisions they plan to implement. Any decision making process within the company entails the simultaneous presence of a number of economic, technical, juridical, human and managerial variables. The development and the approval of a decision is the result of decision making activities developed by the decision maker and sometimes by a decision support team or/and a decision support system (DSS. These aspects related to specific applications of decision support systems in risk management will be approached in this research paper. Decisions in general and management decisions in particular are associated with numerous risks, due to their complexity and increasing contextual orientation. In each business entity, there are concerns with the implementation of risk management in order to improve the likelihood of meeting objectives, the trust of the parties involved, increase the operational safety and security as well as the protection of the environment, minimise losses, improve organisational resilience in order to diminish the negative impact on the organisation and provide a solid foundation for decision making. Since any business entity is considered to be a wealth generator, the analysis of their performance should not be restricted to financial efficiency alone, but will also encompass their economic efficiency as well. The type of research developed in this paper entails different dimensions: conceptual, methodological, as well as empirical testing. Subsequently, the conducted research entails a methodological side, since the conducted activities have resulted in the presentation of a simulation model that is useful in decision making processes on the capital market. The research conducted in the present paper

  14. Voting Systems for Environmental Decisions

    Science.gov (United States)

    BURGMAN, MARK A; REGAN, HELEN M; MAGUIRE, LYNN A; COLYVAN, MARK; JUSTUS, JAMES; MARTIN, TARA G; ROTHLEY, KRIS

    2014-01-01

    Voting systems aggregate preferences efficiently and are often used for deciding conservation priorities. Desirable characteristics of voting systems include transitivity, completeness, and Pareto optimality, among others. Voting systems that are common and potentially useful for environmental decision making include simple majority, approval, and preferential voting. Unfortunately, no voting system can guarantee an outcome, while also satisfying a range of very reasonable performance criteria. Furthermore, voting methods may be manipulated by decision makers and strategic voters if they have knowledge of the voting patterns and alliances of others in the voting populations. The difficult properties of voting systems arise in routine decision making when there are multiple criteria and management alternatives. Because each method has flaws, we do not endorse one method. Instead, we urge organizers to be transparent about the properties of proposed voting systems and to offer participants the opportunity to approve the voting system as part of the ground rules for operation of a group. Sistemas de Votación para Decisiones Ambientales Resumen Los sistemas de votación agregan preferencias eficientemente y muy seguido se usan para decidir prioridades de conservación. Las características deseables de un sistema de votación incluyen la transitividad, lo completo que sean y la optimalidad de Pareto, entre otras. Los sistemas de votación que son comunes y potencialmente útiles para la toma de decisiones ambientales incluyen simple mayoría, aprobación y votación preferencial. Desafortunadamente, ningún sistema de votación puede garantizar un resultado y a la vez satisfacer un rango de criterios de desempeño muy razonable. Además, los métodos de votación pueden manipularse por los que toman las decisiones y votantes estratégicos si tienen el conocimiento de los patrones de votación y de las alianzas entre miembros dentro de las poblaciones votantes. Las

  15. Decision Support Systems: The Need, The Challenge.

    Science.gov (United States)

    Roberts, Michael M.

    1982-01-01

    The evolution of decision support systems (DSS) has enabled computer and information technology to assist the management process of decision making. Decision support systems are designed to look forward in time, to forecast outcomes of uncertain events. A 70-item bibliography is included. (MLW)

  16. Geospatial decision support systems for societal decision making

    Science.gov (United States)

    Bernknopf, R.L.

    2005-01-01

    While science provides reliable information to describe and understand the earth and its natural processes, it can contribute more. There are many important societal issues in which scientific information can play a critical role. Science can add greatly to policy and management decisions to minimize loss of life and property from natural and man-made disasters, to manage water, biological, energy, and mineral resources, and in general, to enhance and protect our quality of life. However, the link between science and decision-making is often complicated and imperfect. Technical language and methods surround scientific research and the dissemination of its results. Scientific investigations often are conducted under different conditions, with different spatial boundaries, and in different timeframes than those needed to support specific policy and societal decisions. Uncertainty is not uniformly reported in scientific investigations. If society does not know that data exist, what the data mean, where to use the data, or how to include uncertainty when a decision has to be made, then science gets left out -or misused- in a decision making process. This paper is about using Geospatial Decision Support Systems (GDSS) for quantitative policy analysis. Integrated natural -social science methods and tools in a Geographic Information System that respond to decision-making needs can be used to close the gap between science and society. The GDSS has been developed so that nonscientists can pose "what if" scenarios to evaluate hypothetical outcomes of policy and management choices. In this approach decision makers can evaluate the financial and geographic distribution of potential policy options and their societal implications. Actions, based on scientific information, can be taken to mitigate hazards, protect our air and water quality, preserve the planet's biodiversity, promote balanced land use planning, and judiciously exploit natural resources. Applications using the

  17. Decision strategy research: system analysis

    Energy Technology Data Exchange (ETDEWEB)

    Carle, B

    2000-07-01

    The objective of SCK-CEN's R and D programme on decision strategies is (1) to develop theories, methods and software tools which help decision makers shape, analyse and understand their decisions; (2) to study group processes in decision making; (3) to apply theories, methods and tools in a context related to nuclear emergency preparedness and more generally to support in a context dealing with ionising radiation; (4) to increase SCK-CEN's knowledge on general emergency preparedness and to introduce SCK-CEN staff to computer supported decision techniques. Ongoing R and D has two components: (1) the study of the use of information and knowledge transfer in group decision processes, and more specific studying important factors when computers are used as information source and communication tool; and (2) the study of preference modelling individually and during group decision processes. Principal achievements in 1999 are described.

  18. Holistic systems biology approaches to molecular mechanisms of human helper T cell differentiation to functionally distinct subsets.

    Science.gov (United States)

    Chen, Z; Lönnberg, T; Lahesmaa, R

    2013-08-01

    Current knowledge of helper T cell differentiation largely relies on data generated from mouse studies. To develop therapeutical strategies combating human diseases, understanding the molecular mechanisms how human naïve T cells differentiate to functionally distinct T helper (Th) subsets as well as studies on human differentiated Th cell subsets is particularly valuable. Systems biology approaches provide a holistic view of the processes of T helper differentiation, enable discovery of new factors and pathways involved and generation of new hypotheses to be tested to improve our understanding of human Th cell differentiation and immune-mediated diseases. Here, we summarize studies where high-throughput systems biology approaches have been exploited to human primary T cells. These studies reveal new factors and signalling pathways influencing T cell differentiation towards distinct subsets, important for immune regulation. Such information provides new insights into T cell biology and into targeting immune system for therapeutic interventions. © 2013 John Wiley & Sons Ltd.

  19. Clinical holistic medicine: metastatic cancer.

    Science.gov (United States)

    Ventegodt, Søren; Solheim, Elin; Saunte, Mads E; Morad, Mohammed; Kandel, Isack; Merrick, Joav

    2004-10-28

    We believe that the consciousness-based/holistic medical toolbox has a serious additional offer to cancer patients and, as a consequence, designed a treatment for the patient with metastasized cancer. From a holistic perspective, cancer can be understood as a simple disturbance of the cells, arising from the tissue holding on to a trauma with strong emotional content. This is called "a blockage", where the function of the cells is allocated from their original function in the tissue to a function of holding emotions. We hope to be able not only to improve the quality of life, but also to improve survival and in some cases even induce spontaneous remission of the metastasized cancer. This paper describes how work with a patient with metastasized cancer can be done in the holistic clinical practice in 14 days on an individual basis, helping the patient to recover her human character, purpose of life, coherence, and will to live, thus improving quality of life and possibly also survival time. The holistic therapeutic work includes (1) teaching existential theory, (2) working with life perspective and philosophy of life, (3) helping the patient to acknowledge the state of the disease and the feelings connected to it, and finally (4) getting the patient into the holistic state of healing: (a) feeling old repressed emotions, (b) understanding why she got sick from a holistic point of view, and finally (c) letting go of the negative beliefs and decisions that made her sick according to the holistic theory of nongenetic diseases. The theory of the human character, the quality of life theories, the holistic theory of cancer, the holistic process theory of healing, the theory of (Antonovsky) coherence, and the life mission theory are the most important theories for the patient to find hope and mobilize the will to fight the cancer and survive. The patient went through the following phases: (1) finding the purpose of life and hidden resources; (2) confronting denial; (3

  20. Clinical Holistic Medicine: Metastatic Cancer

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2004-01-01

    Full Text Available We believe that the consciousness-based/holistic medical toolbox has a serious additional offer to cancer patients and, as a consequence, designed a treatment for the patient with metastasized cancer. From a holistic perspective, cancer can be understood as a simple disturbance of the cells, arising from the tissue holding on to a trauma with strong emotional content. This is called “a blockage”, where the function of the cells is allocated from their original function in the tissue to a function of holding emotions. We hope to be able not only to improve the quality of life, but also to improve survival and in some cases even induce spontaneous remission of the metastasized cancer. This paper describes how work with a patient with metastasized cancer can be done in the holistic clinical practice in 14 days on an individual basis, helping the patient to recover her human character, purpose of life, coherence, and will to live, thus improving quality of life and possibly also survival time. The holistic therapeutic work includes (1 teaching existential theory, (2 working with life perspective and philosophy of life, (3 helping the patient to acknowledge the state of the disease and the feelings connected to it, and finally (4 getting the patient into the holistic state of healing: (a feeling old repressed emotions, (b understanding why she got sick from a holistic point of view, and finally (c letting go of the negative beliefs and decisions that made her sick according to the holistic theory of nongenetic diseases. The theory of the human character, the quality of life theories, the holistic theory of cancer, the holistic process theory of healing, the theory of (Antonovsky coherence, and the life mission theory are the most important theories for the patient to find hope and mobilize the will to fight the cancer and survive. The patient went through the following phases: (1 finding the purpose of life and hidden resources; (2 confronting

  1. Using computerised decision-support systems.

    Science.gov (United States)

    Dowding, Dawn

    Decision support is an extension of electronic health record or electronic patient record systems. As well as enabling health professionals to look up information about individual patients stored in the system and to consult evidence-based guidance, they give advice on the treatment and management most appropriate for that patient. They are designed to help with the process of clinical decision making. Computerised decision-support systems match patient characteristics to a computerised knowledge base to produce patient-specific assessments or recommendations. Decision support can be paper-based, but computerised systems have the advantage of being able to quickly process patient-specific information and match it to computerised decision rules or algorithms. This article discusses the benefits and limitations of using decision-support technology, which is becoming increasingly important as the use of health information technology systems becomes more common across healthcare.

  2. A holistic model for coastal flooding using system diagrams and the Source-Pathway-Receptor (SPR concept

    Directory of Open Access Journals (Sweden)

    S. Narayan

    2012-05-01

    Full Text Available Coastal flooding is a problem of increasing relevance in low-lying coastal regions worldwide. In addition to the anticipated increase in likelihood and magnitude of coastal floods due to climate change, there is rapid growth in coastal assets and infrastructure. Sustainable and integrated coastal flood management over large areas and varying coastline types cannot be simply treated as local combinations of flood defences and floodplains. Rather, a system level analysis of floodplains is required to structure the problem as a first step before applying quantitative models. In this paper such a model is developed using system diagrams and the Source-Pathway-Receptor (SPR concept, to structure our understanding of large and complex coastal flood systems. A graphical systems model is proposed for the assessment of coastal flood systems with regard to individual elements and their topological relationships. Two examples are discussed – a unidirectional model for a large-scale flood system, and a multi-directional model for a smaller-scale system, both based on the Western Scheldt estuary. The models help to develop a comprehensive understanding of system elements and their relationships and provide a holistic overview of the coastal flood system. The approach shows that a system level analysis of floodplains is more effective than simple topographic maps when conveying complex information. The models are shown to be useful as an apriori approach for making the assumptions about flood mechanisms explicit and for informing inputs to numerical models.

  3. Decision Support Systems and Public Policy Analysis.

    Science.gov (United States)

    Hall, Owen P., Jr.

    1986-01-01

    This article outlines an approach for developing and applying computerized decision support systems to the formulation and evaluation of public policy. To meet the challenge of financial resource limitations, new management systems must be developed to improve both governmental efficiency and decision-making effectiveness. (Author/BS)

  4. A holistic strategy for quality and safety control of traditional Chinese medicines by the “iVarious” standard system

    Directory of Open Access Journals (Sweden)

    Anzhen Chen

    2017-10-01

    Full Text Available An effective quality control system is the key to ensuring the quality, safety and efficacy of traditional Chinese medicines (TCMs. However, the current quality standard research lacks the top-design and systematic design, mostly based on specific technologies or evaluation methods. To resolve the challenges and questions of quality control of TCMs, a brand-new quality standard system, named “iVarious”, was proposed. The system comprises eight elements in a modular format. Meaning of every element was specifically illustrated via corresponding research instances. Furthermore, frankincense study was taken as an example for demonstrating standards and research process, based on the “iVarious” system. This system highlighted a holistic strategy for effectiveness, security, integrity and systematization of quality and safety control standards of TCMs. The establishment of “iVarious” integrates multi-disciplinary technologies and progressive methods, basis elements and key points of standard construction. The system provides a novel idea and technological demonstration for regulation establishment of TCMs quality standards.

  5. A Decision support system (DSS) for municipal nurses encountering health deterioration among older people.

    Science.gov (United States)

    Kihlgren, Annica; Svensson, Fredrik; Lövbrand, Conny; Gifford, Mervyn; Adolfsson, Annsofie

    2016-01-01

    This study is part of a larger project called ViSam and includes testing of a decision support system developed and adapted for older people on the basis of M (R) ETTS (Rapid Emergency Triage and Treatment System). The system is designed to allow municipal nurses to determine the optimal level of care for older people whose health has deteriorated. This new system will allow more structured assessment, the patient should receive optimal care and improved data transmission to the next caregiver. This study has an explanatory approach, commencing with quantitative data collection phase followed by qualitative data arising from focus group discussions over the RNs professional experience using the Decision Support system. Focus group discussions were performed to complement the quantitative data to get a more holistic view of the decision support system. Using elements of the decision support system (vital parameters for saturation, pain and affected general health) together with the nurses' decision showed that 94 % of the older persons referred to hospital were ultimately hospitalized. Nurses felt that they worked more systematically, communicated more effectively with others and felt more professional when using the decision support system. The results of this study showed that, with the help of a decision support system, the correct patients are sent to the Emergency Department from municipal home care. Unnecessary referrals of older patients that might lead to poorer health, decreased well-being and confusion can thus be avoided. Using the decision support system means that healthcare co-workers (nurses, ambulance/emergency department/district doctor/SOS alarm) begin to communicate more optimally. There is increased understanding leading to the risk of misinterpretation being reduced and the relationship between healthcare co-workers is improved. However, the decision support system requires more extensive testing in order to enhance the evidence base relating

  6. The MainSTREAM Component Platform: A Holistic Approach to Microfluidic System Design

    DEFF Research Database (Denmark)

    Sabourin, David; Skafte-Pedersen, Peder; Søe, Martin Jensen

    2013-01-01

    of reaction chips; (2) highly parallel pumping and routing/valving capability; (3) methods to interface pumps and chip-to-liquid management systems; (4) means to construct a portable system; (5) reconfigurability/flexibility in system design; (6) means to interface to microscopes; and (7) compatibility...... with tested biological methods. It was found that LEGO Mindstorms motors, controllers, and software were robust, inexpensive, and an accessible choice as compared with corresponding custom-made actuators. MainSTREAM systems could operate continuously for weeks without leaks, contamination, or system failures...

  7. Using Best Practices to Extract, Organize, and Reuse Embedded Decision Support Content Knowledge Rules from Mature Clinical Systems.

    Science.gov (United States)

    DesAutels, Spencer J; Fox, Zachary E; Giuse, Dario A; Williams, Annette M; Kou, Qing-Hua; Weitkamp, Asli; Neal R, Patel; Bettinsoli Giuse, Nunzia

    2016-01-01

    Clinical decision support (CDS) knowledge, embedded over time in mature medical systems, presents an interesting and complex opportunity for information organization, maintenance, and reuse. To have a holistic view of all decision support requires an in-depth understanding of each clinical system as well as expert knowledge of the latest evidence. This approach to clinical decision support presents an opportunity to unify and externalize the knowledge within rules-based decision support. Driven by an institutional need to prioritize decision support content for migration to new clinical systems, the Center for Knowledge Management and Health Information Technology teams applied their unique expertise to extract content from individual systems, organize it through a single extensible schema, and present it for discovery and reuse through a newly created Clinical Support Knowledge Acquisition and Archival Tool (CS-KAAT). CS-KAAT can build and maintain the underlying knowledge infrastructure needed by clinical systems.

  8. A Multilevel Introspective Dynamic Optimization System For Holistic Power-Aware Computing

    DEFF Research Database (Denmark)

    Venkatachalam, Vasanth; Probst, Christian; Franz, Michael

    2005-01-01

    . In contrast, we are developing a system that integrates information from multiple levels of software and hardware, connecting these levels through a communication channel. At the heart of this system are a virtual machine that compiles and dynamically profiles code, and an optimizer that reoptimizes all code...

  9. Maintenance decision support system deployment guide

    Science.gov (United States)

    2008-07-01

    This is a guide for transportation professionals on why and how to deploy winter Maintenance Decision Support Systems (MDSS). Adverse winter weather can cause traffic delays and crashes. Treating the effects of winter weather can also have impacts on...

  10. A Decision Support System for Academic Scheduling.

    Science.gov (United States)

    Burleson, Donald K.; Leivano, Rodrigo J.

    1986-01-01

    Describes the use of a decision support system to operate on a database for academic scheduling. Discusses the scheduling environment, database subsystem, dialog subsystem, modeling subsystem, and output formats. (JM)

  11. Holistic energy system modeling combining multi-objective optimization and life cycle assessment

    Science.gov (United States)

    Rauner, Sebastian; Budzinski, Maik

    2017-12-01

    Making the global energy system more sustainable has emerged as a major societal concern and policy objective. This transition comes with various challenges and opportunities for a sustainable evolution affecting most of the UN’s Sustainable Development Goals. We therefore propose broadening the current metrics for sustainability in the energy system modeling field by using industrial ecology techniques to account for a conclusive set of indicators. This is pursued by including a life cycle based sustainability assessment into an energy system model considering all relevant products and processes of the global supply chain. We identify three pronounced features: (i) the low-hanging fruit of impact mitigation requiring manageable economic effort; (ii) embodied emissions of renewables cause increasing spatial redistribution of impact from direct emissions, the place of burning fuel, to indirect emissions, the location of the energy infrastructure production; (iii) certain impact categories, in which more overall sustainable systems perform worse than the cost minimal system, require a closer look. In essence, this study makes the case for future energy system modeling to include the increasingly important global supply chain and broaden the metrics of sustainability further than cost and climate change relevant emissions.

  12. A system of system lenses for leadership decision-making.

    Science.gov (United States)

    Cady, Phil

    2016-01-01

    The sheer volume and dynamics among system agents in healthcare makes decision-making a daunting task at all levels. Being clear about what leaders mean by "healthcare system" is critical in aligning system strategy and leadership decision-making. This article presents an emerging set of lenses (ideology and beliefs, rational and irrational information processing, interpersonal social dynamics, process and value creation, and context) to help frame leadership decision-making in healthcare systems. © 2015 The Canadian College of Health Leaders.

  13. Policies on and Practices of Cultural Inclusivity in Learning Management Systems: Perspectives of Indigenous Holistic Pedagogies

    Science.gov (United States)

    Dreamson, Neal; Thomas, Gary; Lee Hong, Anita; Kim, Soyoung

    2017-01-01

    Online learning has become a conventional term and practice in Australian higher education, yet cultural inclusivity for Indigenous (Indigenous for the purposes of this paper refers to Australian Aboriginal and Torres Strait Islander peoples) students is insufficiently reflected in learning management system (LMS) policies and design. This study…

  14. A Holistic Approach towards the Use of an Integrated Online Delivery and Management System.

    Science.gov (United States)

    Lim, Cher Ping

    2001-01-01

    Provides a descriptive an interpretive account of how an integrated online delivery and management system, Blackboard[TM], was used in a pre-service teacher training module. Traces the development of the module over a five year period, from a conventional mass lecture and tutorial approach to its current hybrid of online and onsite learning…

  15. Towards Holistic Power Distribution System Validation and Testing – An Overview and Discussion of Different Possibilities

    DEFF Research Database (Denmark)

    Strasser, T.; Andrén, F.; Lauss, G.

    2016-01-01

    Renewable energy sources are key enablers to decrease greenhouse gas emissions and to cope with the anthropogenic global warming. Their intermittent behaviour and limited storage capabilities present challenges to power system operators in maintaining the high level of power quality and reliability...

  16. A holistic approach to SIM platform and its application to early-warning satellite system

    Science.gov (United States)

    Sun, Fuyu; Zhou, Jianping; Xu, Zheyao

    2018-01-01

    This study proposes a new simulation platform named Simulation Integrated Management (SIM) for the analysis of parallel and distributed systems. The platform eases the process of designing and testing both applications and architectures. The main characteristics of SIM are flexibility, scalability, and expandability. To improve the efficiency of project development, new models of early-warning satellite system were designed based on the SIM platform. Finally, through a series of experiments, the correctness of SIM platform and the aforementioned early-warning satellite models was validated, and the systematical analyses for the orbital determination precision of the ballistic missile during its entire flight process were presented, as well as the deviation of the launch/landing point. Furthermore, the causes of deviation and prevention methods will be fully explained. The simulation platform and the models will lay the foundations for further validations of autonomy technology in space attack-defense architecture research.

  17. Streamlining the discovery, evaluation, and integration of data, models, and decision support systems: a big picture view (Invited)

    Science.gov (United States)

    Laniak, G.

    2013-12-01

    21st century environmental problems are wicked and require holistic systems thinking and solutions that integrate social and economic knowledge with knowledge of the environment. Computer-based technologies are fundamental to our ability to research and understand the relevant systems and to provide assessors and decision makers with appropriate data, tools, and strategies. There are significant science and technology challenges being confronted in an effort to streamline the movement of knowledge from its research and experience-based sources to its decision endpoints. In this presentation we explore this continuum and attempt to articulate a holistic and coherent picture of the relationship among the myriad elements of the environmental problem solving landscape. This is done in the hope that this view will enhance the ability of all environmental stakeholders to express their individual contributions in a technological form that will be accessible and usable to the greater community.

  18. Holistic medicine: A new medical system based on body constitution and functional status

    OpenAIRE

    Yuan, Bing

    2017-01-01

    At present, modern medicine is a scientific system in the following sense: it uses observation of static states and analysis of single factors to determine the relationship between structure and function in the human body in states of health and disease. Physiology and pathology are based on observation from multiple perspectives and at multiple levels. The study of human body constitution and overall functional status is relatively unexplored territory in the field of modern medicine. Thi...

  19. Accounting Information Systems for Decision Making

    NARCIS (Netherlands)

    Mancini, D.; Vaassen, E.H.J.; Dameri, R.P.

    2013-01-01

    ​This book contains a collection of research papers on accounting information systems including their strategic role in decision processes, within and between companies. An accounting system is a complex system composed of a mix of strictly interrelated elements such as data, information, human

  20. Decision Support System integrated with Geographic Information ...

    Indian Academy of Sciences (India)

    Home; Journals; Journal of Earth System Science; Volume 124; Issue 1. Decision Support System integrated with Geographic Information System to target restoration actions in watersheds of arid environment: A case study of Hathmati watershed, Sabarkantha district, Gujarat. Dhruvesh P Patel Prashant K Srivastava ...

  1. Parallel object-oriented decision tree system

    Science.gov (United States)

    Kamath,; Chandrika, Cantu-Paz [Dublin, CA; Erick, [Oakland, CA

    2006-02-28

    A data mining decision tree system that uncovers patterns, associations, anomalies, and other statistically significant structures in data by reading and displaying data files, extracting relevant features for each of the objects, and using a method of recognizing patterns among the objects based upon object features through a decision tree that reads the data, sorts the data if necessary, determines the best manner to split the data into subsets according to some criterion, and splits the data.

  2. A distributed clinical decision support system architecture

    OpenAIRE

    Shaker H. El-Sappagh; El-Masri, Samir

    2014-01-01

    This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR), data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals. The architecture will work extremely well in distributed EHR environments in which each hospital has its own local EHR, and it satisfies the compatibi...

  3. Holistic greenhouse gas management

    Energy Technology Data Exchange (ETDEWEB)

    Read, P. [Dept. of Applied and International Economics, Massey Univ. (New Zealand); Parshotam, A. [Inst. of Fundamental Sciences, Massey Univ. (New Zealand)

    2005-07-01

    A holistic greenhouse gas management strategy is described. The first stage is the growth of a large-scale global bio-energy market with world trade in bio-fuels and with a strategic stock of biomass raw material in new plantation forests. Later stages, more costly - as needs may be in response to possible future precursors of abrupt climate change - would involve linking CO2 capture and sequestration to bio-energy, yielding a negative emissions energy system. Illustrative calculations point to the feasibility of a return to pre-industrial CO{sub 2} levels before mid-century. This result is subject to significant caveats, but, prima facie, the first stage can provide several environmental and socio-economic side-benefits while yielding a positive financial return if oil prices remain above 35$/bbl. The vision is that the polluter pays principle can be turned to a greening of the earth. (orig.)

  4. ARISTOTLE (All Risk Integrated System TOwards The hoListic Early-warning)

    Science.gov (United States)

    Michelini, Alberto; Wotawa, Gerhard; Arnold-Arias, Delia

    2017-04-01

    The Emergency Response Coordination Centre (ERCC) is the EU coordination office for humanitarian aid and civil protection operations of DG ECHO (EU Humanitarian Aid and Civil Protection). ERCC needs rapidly authoritative multi-hazard scientific expertise and analysis on 24*7 basis since, when a disaster strikes, every minute counts for saving lives and immediate, coordinated and pre-planned response is essential. The EU is committed to providing disaster response in a timely and efficient manner and to ensure European assistance meets the real needs in the population affected, whether in Europe or beyond. The ARISTOTLE consortium was awarded the European Commission's DG ECHO "Pilot project in the area of Early Warning System for natural disasters" (OJ 2015 S/154-283349). The tender articulates the needs and expectations of DG ECHO in respect of the provision of multi-hazard advice to the Emergency Response & Coordination Centre in Brussels. Specifically, the tender aims to fill the gap in knowledge that exists in the: • first 3 hours immediately after an event that has the potential to require a country to call on international help • provision of longer term advice following an emergency • provision of advice when a potential hazardous event is starting to form; this will usually be restricted to severe weather and flooding events and when possible to volcanic events. The ARISTOTLE Consortium was awarded the tender and the project effectively started on February 1st, 2016, for a duration of 2 years. ARISTOTLE (aristotle.ingv.it) is a multi-hazard partnership created by combining expertise from of total of 5 hazard groups [4 main hazard groups plus a sub-hazard - Severe Weather, Floods, Volcanos (only for ashes and gases hazard deriving from eruptions), Earthquakes and the related Tsunamis as a sub-hazard given its peculiarities and potential huge impact]. Each Hazard Group brings together experts from the particular hazard domain to deliver a 'collective

  5. Collaborative Control Theory and Decision Support Systems

    Directory of Open Access Journals (Sweden)

    Shimon Y. Nof

    2017-08-01

    Full Text Available Collaborative Decision Support Systems, CDSS, depend on cost-effective collaboration among the decision participants. Those may include, in addition to human decision makers, non-human entities such as robots, software and hardware agents, sensors, and autonomous instruments. The purpose of this article is to explore the impact that CCT, the Collaborative Control Theory, has on cyber supported augmentation of collaboration in general, and its proven and potential impacts on CDSS in particular. Three recent case studies are discussed. The correlation between CDSS decision process and quality; and the level of CCT-based collaboration augmentation and the resulting level of Collaborative Intelligence, CI, is presented. It is concluded that while there are clear positive impacts of CCT based augmentation and level of CI, they need to be measured and optimized, not maximized. Further research in this area is also described.

  6. A decision-support system for improving road transportation performance in Gauteng, South Africa: Developing a data acquisitioning system

    Directory of Open Access Journals (Sweden)

    Georg H. Backeberg

    2009-11-01

    Full Text Available This research describes how the systems approach can be applied to implement a holistic transportation decision-support system, which will measure transportation performance at the highest level and enable decision-making with respect to possible improvements. The research starts with the creation of a framework of the process to be followed. A framework of the envisioned system with existing and new elements is then created. Furthermore, a framework for management reports is proposed. Against this background, the deliverables for a project to implement the proposed data-acquisitioning system are defined. First order indications are that such a project is feasible and affordable, and can be completed to such an extent that most of the advantages are obtainable within two years.

  7. Clinical Holistic Medicine: Mental Disorders in a Holistic Perspective

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2005-01-01

    Full Text Available From a holistic perspective, psychiatric diseases are caused by the patient’s unwillingness to assume responsibility for his life, existence, and personal relations. The loss of responsibility arises from the repression of the fundamental existential dimensions of the patients. Repression of love and purpose causes depersonalization (i.e., a lack of responsibility for being yourself and for the contact with others, loss of direction and purpose in life. Repression of strength in mind and emotions leads to derealization (the breakdown of the reality testing, often with mental delusions and hallucinations. The repression of joy and gender leads to devitalization (emotional emptiness, loss of joy, personal energy, sexuality, and pleasure in life.The losses of existential dimensions are invariably connected to traumas with life-denying decisions. Healing the wounds of the soul by holding and processing will lead to the recovery of the person's character, purpose of life, and existential responsibility. It can be very difficult to help a psychotic patient. The physician must first love his patient unconditionally and then fully understand the patient in order to meet and support the patient to initiate the holistic process of healing. It takes motivation and willingness to suffer on behalf of the patients in order to heal, as the existential and emotional pain of the traumas resulting in insanity is often overwhelming. We believe that most psychiatric diseases can be alleviated or cured by the loving and caring physician who masters the holistic toolbox. Further research is needed to document the effect of holistic medicine in psychiatry.

  8. Moving toward holistic wellness, empowerment and self-determination for Indigenous peoples in Canada: Can traditional Indigenous health care practices increase ownership over health and health care decisions?

    Science.gov (United States)

    Auger, Monique; Howell, Teresa; Gomes, Tonya

    2016-12-27

    This study aimed to understand the role that traditional Indigenous health care practices can play in increasing individual-level self-determination over health care and improving health outcomes for urban Indigenous peoples in Canada. This project took place in Vancouver, British Columbia and included the creation and delivery of holistic workshops to engage community members (n = 35) in learning about aspects of traditional health care practices. Short-term and intermediate outcomes were discussed through two gatherings involving focus groups and surveys. Data were transcribed, reviewed, thematically analyzed, and presented to the working group for validation. When participants compared their experiences with traditional health care to western health care, they described barriers to care that they had experienced in accessing medical doctors (e.g., racism, mistrust), as well as the benefits of traditional healing (e.g., based on relationships, holistic approach). All participants also noted that they had increased ownership over their choices around, and access to, health care, inclusive of both western and traditional options. They stressed that increased access to traditional health care is crucial within urban settings. Self-determination within Indigenous urban communities, and on a smaller scale, ownership for individuals, is a key determinant of health for Indigenous individuals and communities; this was made clear through the analysis of the research findings and is also supported within the literature. This research also demonstrates that access to traditional healing can enhance ownership for community members. These findings emphasize that there is a continued and growing need for support to aid urban Indigenous peoples in accessing traditional health care supports.

  9. Decision Making Based On Management Information System and Decision Support System

    Directory of Open Access Journals (Sweden)

    Şükrü Ada

    2015-04-01

    Full Text Available Information hasbecome an essentialresource for managing modern organizations. This is so because today’sbusiness environment is volatile, dynamic, turbulent and necessitates the burgeoning demand for accurate, relevant, complete,timely and economical information needed to drive the decision-making process in order to accentuate organizational abilities to manage opportunities and threat. MIS work on online mode with an average processing speed. Generally, it is used by low level management. Decision support system are powerful tool that assist corporate executives, administrators and other senior officials in making decision regarding the problem. Management Information Systems is a useful tool that provided organized and summarized information in a proper time to decision makers and enable making accurate decision for managers in organizations. This paper will discuss the concept, characteristics, types of MIS, the MIS model, and in particular it will highlight the impact and role of MIS on decision making.

  10. Development of an ecological decision support system

    NARCIS (Netherlands)

    van Beusekom, Frits; Brazier, Frances; Schipper, Piet; Treur, Jan; del Pobil, A.P.

    1998-01-01

    In this paper a knowledge-based decision support system is described that determines the abiotic (chemical and physical) characteristics of a site on the basis of in-homogeneous samples of plant species. Techniques from the area of non-monotonic reasoning are applied to model multi-interpretable

  11. Decision support system for Wamakersvallei Winery

    CSIR Research Space (South Africa)

    Van Der Merwe, A

    2007-09-01

    Full Text Available models. The three features of the decision support system are first to assist in the scheduling process of assigning grapes from the different suppliers to the different tipping bins by suggesting rapidly and in an automated fashion a possible schedule...

  12. Governance and decision making in complex socio-hydrological systems

    Science.gov (United States)

    Elshorbagy, Amin; Wheater, Howard; Gober, Patricia; Hassanzadeh, Elmira

    2017-04-01

    Manitoba. The model highlights the spatial tradeoffs across the three provinces and sectoral trade-offs among the differing water uses. These trade-offs represent challenging dilemmas for water management decisions in a complex system. The study reveals the need for a holistic framework of water resources analysis that can dynamically capture the feedback loops among hydrological, social, and administrative/political analysis units to support public discussion of critical water tradeoffs and a consensual water value framework to guide future development decisions.

  13. Utility Systems Operation: Optimisation ?Based Decision Making

    OpenAIRE

    2011-01-01

    Abstract Utility systems provide heat and power to industrial sites. The importance of operating these systems in an optimal way has increased significantly due to the unstable and in the long term rising prices of fossil fuels as well as the need for reducing the greenhouse gas emissions. This paper presents an analysis of the problem for supporting operator decision-making under conditions of variable steam demands from the production processes on an industrial site. An optimisat...

  14. Decision Fusion System for Bolted Joint Monitoring

    Directory of Open Access Journals (Sweden)

    Dong Liang

    2015-01-01

    Full Text Available Bolted joint is widely used in mechanical and architectural structures, such as machine tools, industrial robots, transport machines, power plants, aviation stiffened plate, bridges, and steel towers. The bolt loosening induced by flight load and environment factor can cause joint failure leading to a disastrous accident. Hence, structural health monitoring is critical for the bolted joint detection. In order to realize a real-time and convenient monitoring and satisfy the requirement of advanced maintenance of the structure, this paper proposes an intelligent bolted joint failure monitoring approach using a developed decision fusion system integrated with Lamb wave propagation based actuator-sensor monitoring method. Firstly, the basic knowledge of decision fusion and classifier selection techniques is briefly introduced. Then, a developed decision fusion system is presented. Finally, three fusion algorithms, which consist of majority voting, Bayesian belief, and multiagent method, are adopted for comparison in a real-world monitoring experiment for the large aviation aluminum plate. Based on the results shown in the experiment, a big potential in real-time application is presented that the method can accurately and rapidly identify the bolt loosening by analyzing the acquired strain signal using proposed decision fusion system.

  15. Integrated Modelling Frameworks for Environmental Assessment and Decision Support

    NARCIS (Netherlands)

    Rizzoli, A.E.; Leavesley, G.; Ascough, J.C.; Argent, R.M.; Athanasiadis, I.N.; Brilhante, V.; Claeys, F.H.A.; David, O.; Donatelli, M.; Gijsbers, P.; Havlik, D.; Kassahun, A.; Krause, P.; Quinn, N.W.T.; Scholten, H.; Sojda, R.S.; Villa, F.

    2008-01-01

    Modern management of environmental resources defines problems from a holistic and integrated perspective, imposing strong requirements to Environmental Decision Support Systems (EDSSs) and Integrated Assessment Tools (IATs), which tend to be increasingly complex in terms of software architecture and

  16. Analyzing holistic parsers: implications for robust parsing and systematicity.

    Science.gov (United States)

    Ho, E K; Chan, L W

    2001-05-01

    Holistic parsers offer a viable alternative to traditional algorithmic parsers. They have good generalization performance and are robust inherently. In a holistic parser, parsing is achieved by mapping the connectionist representation of the input sentence to the connectionist representation of the target parse tree directly. Little prior knowledge of the underlying parsing mechanism thus needs to be assumed. However, it also makes holistic parsing difficult to understand. In this article, an analysis is presented for studying the operations of the confluent preorder parser (CPP). In the analysis, the CPP is viewed as a dynamical system, and holistic parsing is perceived as a sequence of state transitions through its state-space. The seemingly one-shot parsing mechanism can thus be elucidated as a step-by-step inference process, with the intermediate parsing decisions being reflected by the states visited during parsing. The study serves two purposes. First, it improves our understanding of how grammatical errors are corrected by the CPP. The occurrence of an error in a sentence will cause the CPP to deviate from the normal track that is followed when the original sentence is parsed. But as the remaining terminals are read, the two trajectories will gradually converge until finally the correct parse tree is produced. Second, it reveals that having systematic parse tree representations alone cannot guarantee good generalization performance in holistic parsing. More important, they need to be distributed in certain useful locations of the representational space. Sentences with similar trailing terminals should have their corresponding parse tree representations mapped to nearby locations in the representational space. The study provides concrete evidence that encoding the linearized parse trees as obtained via preorder traversal can satisfy such a requirement.

  17. Using a group decision support system to make investment prioritisation decisions

    OpenAIRE

    Read, Martin; Gear, Tony; Minkes, Leonard; Irving, Ann

    2013-01-01

    This paper is concerned with how decision making groups involved in making investment prioritisation decisions involving funding of technology and science projects may be supported by a group decision support system (GDSS). While interested in decision outcomes, the primary focus of this paper is the role of a group support system as an aid to developing shared understanding within a group. The paper develops the conceptual framework of decision-making, communication and group support, and de...

  18. Asset Condition, Information Systems and Decision Models

    CERN Document Server

    Willett, Roger; Brown, Kerry; Mathew, Joseph

    2012-01-01

    Asset Condition, Information Systems and Decision Models, is the second volume of the Engineering Asset Management Review Series. The manuscripts provide examples of implementations of asset information systems as well as some practical applications of condition data for diagnostics and prognostics. The increasing trend is towards prognostics rather than diagnostics, hence the need for assessment and decision models that promote the conversion of condition data into prognostic information to improve life-cycle planning for engineered assets. The research papers included here serve to support the on-going development of Condition Monitoring standards. This volume comprises selected papers from the 1st, 2nd, and 3rd World Congresses on Engineering Asset Management, which were convened under the auspices of ISEAM in collaboration with a number of organisations, including CIEAM Australia, Asset Management Council Australia, BINDT UK, and Chinese Academy of Sciences, Beijing University of Chemical Technology, Chin...

  19. Goal-Directed Decision Structuring Systems.

    Science.gov (United States)

    1981-08-31

    34 Entropy , Information and Rational Decisions", International Journal of Policy Analysis and Information Systems, Vol. 3, No. 1, pp. 93-109, July 1979. 2... nMC , mAwa 0a e j LA LJa c (mLAax tiwo CD ca a) (a PDk xi least some of the subjects plotted their preferred price for the current period not,as we

  20. Weibull Decision Support Systems in Maintenance

    Directory of Open Access Journals (Sweden)

    Aboura Khalid

    2014-05-01

    Full Text Available Background: The Weibull distribution is one of the most important lifetime distributions in applied statistics. Weibull analysis is the leading method in the world for fitting and analyzing lifetime data. We discuss one of the earliest decision support system for the assessment of a distribution for the parameters of the Weibull reliability model using expert information. We then present a different approach to assess the parameters distribution.

  1. A systems approach to vaccine decision making.

    Science.gov (United States)

    Lee, Bruce Y; Mueller, Leslie E; Tilchin, Carla G

    2017-01-20

    Vaccines reside in a complex multiscale system that includes biological, clinical, behavioral, social, operational, environmental, and economical relationships. Not accounting for these systems when making decisions about vaccines can result in changes that have little effect rather than solutions, lead to unsustainable solutions, miss indirect (e.g., secondary, tertiary, and beyond) effects, cause unintended consequences, and lead to wasted time, effort, and resources. Mathematical and computational modeling can help better understand and address complex systems by representing all or most of the components, relationships, and processes. Such models can serve as "virtual laboratories" to examine how a system operates and test the effects of different changes within the system. Here are ten lessons learned from using computational models to bring more of a systems approach to vaccine decision making: (i) traditional single measure approaches may overlook opportunities; (ii) there is complex interplay among many vaccine, population, and disease characteristics; (iii) accounting for perspective can identify synergies; (iv) the distribution system should not be overlooked; (v) target population choice can have secondary and tertiary effects; (vi) potentially overlooked characteristics can be important; (vii) characteristics of one vaccine can affect other vaccines; (viii) the broader impact of vaccines is complex; (ix) vaccine administration extends beyond the provider level; and (x) the value of vaccines is dynamic. Copyright © 2016 Elsevier Ltd. All rights reserved.

  2. Barangay Decision Support and Mapping System

    Directory of Open Access Journals (Sweden)

    Tracy N. Tacuban

    2016-05-01

    Full Text Available The Barangay Decision Support and Mapping System aims to address the needs of the barangay for efficient information and decision processing. It allows the record of all the barangay residents and enables the user to create and edit the barangay map using the generally-accepted symbols or icons. It automates the barangay clearances, and permits. It allows the storage and retrieval of barangay-approved ordinances, meetings and resolutions. It records environmental problems and the solutions provided. The system also records cases of domestic violence, disputes and the actions taken by the concerned officials. Moreover, the system provides the necessary reports that can be used by the barangay officials for their barangay planning activities. The system’s functionality was tested by the Barangay Officials of San Miguel, Guimaras as respondents of the study. The respondents strongly agree that the system’s functionality conforms to their needs and requirements. With regards to the ease of use of the system as perceived by the respondents, the respondents agreed that the study is easy to use and the interface of the system is well designed. The reliability and validity of the system was tested by five (5 ICT professionals using ISO 9126 standard. Based on their responses, the system’s evaluation shows that the system conforms to international standards and is therefore valid and reliable to use.

  3. Decision support system for structure synthesis of monitoring systems

    Directory of Open Access Journals (Sweden)

    Skatkov A. V.

    2008-04-01

    Full Text Available The paper is concerned with a structure synthesis of monitoring systems. In the article a decision support system for such synthesis was proposed and described. In the first phase of the process, the proposed classification of monitoring systems is used. Then adaptive algorithms, simulation and analytic modeling are used. The results of studies carried out by means of the proposed program are represented. The topicality of proposed approach was demonstrated. It should be mentioned, that algorithms were thoroughly described, the computing experiments were carried out. The authors believe that the proposed decision support system has many advantages and, consequently, is very useful in structure synthesis of monitoring systems.

  4. Reactive Software Agent Anesthesia Decision Support System

    Directory of Open Access Journals (Sweden)

    Grant H. Kruger

    2011-12-01

    Full Text Available Information overload of the anesthesiologist through technological advances have threatened the safety of patients under anesthesia in the operating room (OR. Traditional monitoring and alarm systems provide independent, spatially distributed indices of patient physiological state. This creates the potential to distract caregivers from direct patient care tasks. To address this situation, a novel reactive agent decision support system with graphical human machine interface was developed. The system integrates the disparate data sources available in the operating room, passes the data though a decision matrix comprising a deterministic physiologic rule base established through medical research. Patient care is improved by effecting change to the care environment by displaying risk factors and alerts as an intuitive color coded animation. The system presents a unified, contextually appropriate snapshot of the patient state including current and potential risk factors, and alerts of critical patient events to the operating room team without requiring any user intervention. To validate the efficacy of the system, a retrospective analysis focusing on the hypotension rules were performed. Results show that even with vigilant and highly trained clinicians, deviations from ideal patient care exist and it is here that the proposed system may allow more standardized and improved patient care and potentially outcomes.

  5. A distributed clinical decision support system architecture

    Directory of Open Access Journals (Sweden)

    Shaker H. El-Sappagh

    2014-01-01

    Full Text Available This paper proposes an open and distributed clinical decision support system architecture. This technical architecture takes advantage of Electronic Health Record (EHR, data mining techniques, clinical databases, domain expert knowledge bases, available technologies and standards to provide decision-making support for healthcare professionals. The architecture will work extremely well in distributed EHR environments in which each hospital has its own local EHR, and it satisfies the compatibility, interoperability and scalability objectives of an EHR. The system will also have a set of distributed knowledge bases. Each knowledge base will be specialized in a specific domain (i.e., heart disease, and the model achieves cooperation, integration and interoperability between these knowledge bases. Moreover, the model ensures that all knowledge bases are up-to-date by connecting data mining engines to each local knowledge base. These data mining engines continuously mine EHR databases to extract the most recent knowledge, to standardize it and to add it to the knowledge bases. This framework is expected to improve the quality of healthcare, reducing medical errors and guaranteeing the safety of patients by helping clinicians to make correct, accurate, knowledgeable and timely decisions.

  6. Decision Performance Using Spatial Decision Support Systems: A Geospatial Reasoning Ability Perspective

    Science.gov (United States)

    Erskine, Michael A.

    2013-01-01

    As many consumer and business decision makers are utilizing Spatial Decision Support Systems (SDSS), a thorough understanding of how such decisions are made is crucial for the information systems domain. This dissertation presents six chapters encompassing a comprehensive analysis of the impact of geospatial reasoning ability on…

  7. A Benchmark Usability Study of the Tactical Decision Making Under Stress Decision Support System

    National Research Council Canada - National Science Library

    Schmorrow, Dylan

    1998-01-01

    This study evaluates the usability of a U.S. Navy Decision Support System (DSS). The DSS was developed to enhance the performance of tactical decision makers within a Navy Combat Information Center...

  8. Decision Support System for a Low Voltage Renewable Energy System

    Directory of Open Access Journals (Sweden)

    Iulia Stamatescu

    2017-01-01

    Full Text Available This paper presents the development of a decision support system (DSS for a low-voltage grid with renewable energy sources (photovoltaic panels and wind turbine which aims at achieving energy balance in a pilot microgrid with less energy consumed from the network. The DSS is based on a procedural decision algorithm that is applied on a pilot microgrid, with energy produced from renewable energy sources, but it can be easily generalized for any microgrid. To underline the benefits of the developed DSS two case scenarios (a household and an office building with different energy consumptions were analyzed. The results and throw added value of the paper is the description of an implemented microgrid, the development and testing of the decision support system on real measured data. Experimental results have demonstrated the validity of the approach in rule-based decision switching.

  9. Intelligent decision support systems for mechanical ventilation.

    Science.gov (United States)

    Tehrani, Fleur T; Roum, James H

    2008-11-01

    An overview of different methodologies used in various intelligent decision support systems (IDSSs) for mechanical ventilation is provided. The applications of the techniques are compared in view of today's intensive care unit (ICU) requirements. Information available in the literature is utilized to provide a methodological review of different systems. Comparisons are made of different systems developed for specific ventilation modes as well as those intended for use in wider applications. The inputs and the optimized parameters of different systems are discussed and rule-based systems are compared to model-based techniques. The knowledge-based systems used for closed-loop control of weaning from mechanical ventilation are also described. Finally, in view of increasing trend towards automation of mechanical ventilation, the potential utility of intelligent advisory systems for this purpose is discussed. IDSSs for mechanical ventilation can be quite helpful to clinicians in today's ICU settings. To be useful, such systems should be designed to be effective, safe, and easy to use at patient's bedside. In particular, these systems must be capable of noise removal, artifact detection and effective validation of data. Systems that can also be adapted for closed-loop control/weaning of patients at the discretion of the clinician, may have a higher potential for use in the future.

  10. How to guide - transit operations decision support systems (TODSS).

    Science.gov (United States)

    2014-12-01

    Transit Operations Decision Support Systems (TODSS) are decision support systems designed to support dispatchers in real-time bus operations : management in response to incidents, special events, and other changing conditions in order to restore serv...

  11. Clinical Holistic Medicine: Holistic Treatment of Children

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2004-01-01

    Full Text Available We believe a holistic approach to problems in childhood and adolescence will benefit the child, adolescent, and the whole family. As a rule, children have far less to say in the family than their parents. Therefore, it is the parents who set the agenda and decide how things are done at home and in relation to the child. Most often, it is also the parents who have a problem when the child is not thriving. The child thus acts as the thermometer of the family. When children are not feeling well or are sick, the parents are not doing well either. Most problems arising from dysfunctional patterns are almost impossible for the parents to solve on their own, but with help and support from the holistically oriented physician, we believe that many problems can be discovered and solved. Not only can health problems be addressed, but also problems of poor thriving in the family in general. With the physician in the role of a coach, the family can be provided with relevant exercises that will change the patterns of dysfunction. Consciousness-based medicine also seems to be efficient with children and adolescents, who are much more sensitive to the psychosocial dimensions than adults. Five needs seem to be essential for the thriving and health of the child: attention, respect, love, acceptance (touch, and acknowledgment. The physician should be able to see if the child lacks fulfillment in one or more of these needs, and he can then demonstrate to the parents how these needs should be handled. This should be followed by simple instructions and exercises for the parents in the spirit of coaching. This approach is especially relevant when the child is chronically ill.

  12. Aggregated systems model for nuclear safeguards decisions

    Energy Technology Data Exchange (ETDEWEB)

    1979-03-01

    This report summarizes a general analytical tool designed to assist nuclear safeguards decision-makers. The approach is based on decision analysis--a quantitative procedure for evaluating complex decision alternatives with uncertain outcomes. The report describes the general analytical approach in the context of safeguards decisions at a hypothetical nuclear fuel reprocessing plant.

  13. Decision models in designing flexible production systems

    Directory of Open Access Journals (Sweden)

    Florescu Adriana

    2017-01-01

    Full Text Available Flexible production system is a complex whole that raise some issues in terms of its design and in relation to the conditions for implementing it. To implement a flexible production system configuration must be found that satisfies both economic and system performance requirements. The configuration which best meet the objectives of introducing a flexible production system must be sought in the set of alternatives defined and evaluated. In this paper we present a methodology of realising the configuration and complex evaluation of the analyzed system. It will be developed models which generate new alternative configurations, optimization and evaluation models of the performance of the flexible production system. This will create a framework for interactive decision support, user-oriented that can be used by management to solve this selection problem. The applicative character of the study consist in tracking of the technological process in real time using the developed software package on the designed system, based on mathematical models for configuration and optimization of the system.

  14. A Decision Support System for Drinking Water Production Integrating Health Risks Assessment

    Directory of Open Access Journals (Sweden)

    Ianis Delpla

    2014-07-01

    Full Text Available The issue of drinking water quality compliance in small and medium scale water services is of paramount importance in relation to the 98/83/CE European Drinking Water Directive (DWD. Additionally, concerns are being expressed over the implementation of the DWD with respect to possible impacts on water quality from forecast changes in European climate with global warming and further anticipated reductions in north European acid emissions. Consequently, we have developed a decision support system (DSS named ARTEM-WQ (AwaReness Tool for the Evaluation and Mitigation of drinking Water Quality issues resulting from environmental changes to support decision making by small and medium plant operators and other water stakeholders. ARTEM-WQ is based on a sequential risk analysis approach that includes consideration of catchment characteristics, climatic conditions and treatment operations. It provides a holistic evaluation of the water system, while also assessing human health risks of organic contaminants potentially present in treated waters (steroids, pharmaceuticals, pesticides, bisphenol-a, polychlorobiphenyls, polycyclic aromatic hydrocarbons, petrochemical hydrocarbons and disinfection by-products; n = 109. Moreover, the system provides recommendations for improvement while supporting decision making in its widest context. The tool has been tested on various European catchments and shows a promising potential to inform water managers of risks and appropriate mitigative actions. Further improvements should include toxicological knowledge advancement, environmental background pollutant concentrations and the assessment of the impact of distribution systems on water quality variation.

  15. Holistic education and complexity thinking

    NARCIS (Netherlands)

    Jörg, T.

    2007-01-01

    Paper proposal for the SIG Holistic Education at AERA 2007 Title: Holistic Education and Complexity Thinking Ton Jörg IVLOS Institute of Education University of Utrecht The Netherlands A.G.D.Jorg@ivlos.uu.nl ABSTRACT In this paper I link complexity thinking with Holistic Education (HE). It is a

  16. Considerations for a successful clinical decision support system.

    Science.gov (United States)

    Castillo, Ranielle S; Kelemen, Arpad

    2013-07-01

    Clinical decision support systems have the potential to improve patient care in a multitude of ways. Clinical decision support systems can aid in the reduction of medical errors and reduction in adverse drug events, ensure comprehensive treatment of patient illnesses and conditions, encourage the adherence to guidelines, shorten patient length of stay, and decrease expenses over time. A clinical decision support system is one of the key components for reaching compliance for Meaningful Use. In this article, the advantages, potential drawbacks, and clinical decision support system adoption barriers are discussed, followed by an in-depth review of the characteristics that make a clinical decision support system successful. The legal and ethical issues that come with the implementation of a clinical decision support system within an organization and the future expectations of clinical decision support system are reviewed.

  17. Geo-Spatial Tactical Decision Aid Systems: Fuzzy Logic for Supporting Decision Making

    National Research Council Canada - National Science Library

    Grasso, Raffaele; Giannecchini, Simone

    2006-01-01

    .... This paper describes a tactical decision aid system based on fuzzy logic reasoning for data fusion and on current Open Geospatial Consortium specifications for interoperability, data dissemination...

  18. A health examination system integrated with clinical decision support system.

    Science.gov (United States)

    Kuo, Kuan-Liang; Fuh, Chiou-Shann

    2010-10-01

    Health examinations play a key role in preventive medicine. We propose a health examination system named Health Examination Automatic Logic System (HEALS) to assist clinical workers in improving the total quality of health examinations. Quality of automated inference is confirmed by the zero inference error where during 6 months and 14,773 cases. Automated inference time is less than one second per case in contrast to 2 to 5 min for physicians. The most significant result of efficiency evaluation is that 3,494 of 4,356 (80.2%) cases take less than 3 min per case for producing a report summary. In the evaluation of effectiveness, novice physicians got 18% improvement in making decisions with the assistance of our system. We conclude that a health examination system with a clinical decision system can greatly reduce the mundane burden on clinical workers and markedly improve the quality and efficiency of health examination tasks.

  19. Case-based reasoning in Intelligent Health Decision Support Systems.

    Science.gov (United States)

    González, Carolina; López, Diego M; Blobel, Bernd

    2013-01-01

    Decision-making is a crucial task for decision makers in healthcare, especially because decisions have to be made quickly, accurately and under uncertainty. Taking into account the importance of providing quality decisions, offering assistance in this complex process has been one of the main challenges of Artificial Intelligence throughout history. Decision Support Systems (DSS) have gained popularity in the medical field for their efficacy to assist decision-making. In this sense, many DSS have been developed, but only few of them consider processing and analysis of information contained in electronic health records, in order to identify individual or population health risk factors. This paper deals with Intelligent Decision Support Systems that are integrated into Electronic Health Records Systems (EHRS) or Public Health Information Systems (PHIS). It provides comprehensive support for a wide range of decisions with the purpose of improving quality of care delivered to patients or public health planning, respectively.

  20. Decision support telemedicine systems: A conceptual model and reusable templates

    NARCIS (Netherlands)

    Nannings, Barry; Abu-Hanna, A.

    2006-01-01

    Decision support telemedicine systems (DSTSs) are systems combining elements from telemedicine and clinical decision support systems. Although emerging more, these types of systems have not been given much attention in the literature. Our objective is to define the term DSTS, to propose a general

  1. The Design of Holistic Innovation Policy

    DEFF Research Database (Denmark)

    Borrás, Susana; Edquist, Charles

    looks into a series of issues related to the design of holistic innovation policy. With this purpose in mind, this chapter summarizes previous chapters’ identification of the problems, bottlenecks and deficiencies that can afflict innovation systems. Taken together, they provide the theoretical...... foundations for the design of holistic innovation policy, which includes not only framing the problems in the innovation system, but also considerations about policy instruments for the tasks at hand, as well as the problems generated by policy itself (unintended consequences of inefficient of incomplete...

  2. The System Dynamics Model User Sustainability Explorer (SD-MUSE): a user-friendly tool for interpreting system dynamic models

    Science.gov (United States)

    System Dynamics (SD) models are useful for holistic integration of data to evaluate indirect and cumulative effects and inform decisions. Complex SD models can provide key insights into how decisions affect the three interconnected pillars of sustainability. However, the complexi...

  3. A Multi-criterial Decision Support System for Forest Management

    Science.gov (United States)

    Donald Nute; Geneho Kim; Walter D. Potter; Mark J. Twery; H. Michael Rauscher; Scott Thomasma; Deborah Bennett; Peter Kollasch

    1999-01-01

    We describe a research project that has as its goal development of a full-featured decision support system for managing forested land to satisfy multiple criteria represented as timber, wildlife, water, ecological, and wildlife objectives. The decision process proposed for what was originally conceived of as a Northeast Decision Model (NED) includes data acquisition,...

  4. An Instructional System for Consumer Decision-Making: Teacher's Manual.

    Science.gov (United States)

    Suchman, J. Richard; DiSario, Martha R.

    An instructional system is presented for building the competencies of adult basic education students in making consumer decisions, and offers a guide to teachers who wish to design their own decision-making problems for students. The first four chapters provide a brief introduction, discuss the rational consumer decision-making process and the…

  5. Developing the U.S. Wildland Fire Decision Support System

    Science.gov (United States)

    Erin Noonan-Wright; Tonja S. Opperman; Mark A. Finney; Tom Zimmerman; Robert C. Seli; Lisa M. Elenz; David E. Calkin; John R. Fiedler

    2011-01-01

    A new decision support tool, the Wildland Fire Decision Support System (WFDSS) has been developed to support risk-informed decision-making for individual fires in the United States. WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply...

  6. Holistic pediatric veterinary medicine.

    Science.gov (United States)

    Pesch, Lisa

    2014-03-01

    Holistic veterinary medicine treats the whole patient including all physical and behavioral signs. The root cause of disease is treated at the same time as accompanying clinical signs. Herbal and nutritional supplements can help support tissue healing and proper organ functioning, thereby reducing the tendency of disease progression over time. Proper selection of homeopathic remedies is based on detailed evaluation of clinical signs. Herbal medicines are selected based on organ(s) affected and the physiologic nature of the imbalance. Many herbal and nutraceutical companies provide support for veterinarians, assisting with proper formula selection, dosing, drug interactions, and contraindications. Copyright © 2014 Elsevier Inc. All rights reserved.

  7. Decision-support systems for forest management

    Science.gov (United States)

    H. Michael Rauscher

    2005-01-01

    The basic concept of sustainable development, formulated in the Brundtland report and applied to forest management by the Montreal Process, has focused attention on the need for formal decision processes (Brundtland. 1987). The application of decision theory is essential because meeting the needs of the present without compromising the ability of future generations to...

  8. Fault Detection for Shipboard Monitoring and Decision Support Systems

    DEFF Research Database (Denmark)

    Lajic, Zoran; Nielsen, Ulrik Dam

    2009-01-01

    In this paper a basic idea of a fault-tolerant monitoring and decision support system will be explained. Fault detection is an important part of the fault-tolerant design for in-service monitoring and decision support systems for ships. In the paper, a virtual example of fault detection...... will be presented for a containership with a real decision support system onboard. All possible faults can be simulated and detected using residuals and the generalized likelihood ratio (GLR) algorithm....

  9. A decision technology system for health care electronic commerce.

    Science.gov (United States)

    Forgionne, G A; Gangopadhyay, A; Klein, J A; Eckhardt, R

    1999-08-01

    Mounting costs have escalated the pressure on health care providers and payers to improve decision making and control expenses. Transactions to form the needed decision data will routinely flow, often electronically, between the affected parties. Conventional health care information systems facilitate flow, process transactions, and generate useful decision information. Typically, such support is offered through a series of stand-alone systems that lose much useful decision knowledge and wisdom during health care electronic commerce (e-commerce). Integrating the stand-alone functions can enhance the quality and efficiency of the segmented support, create synergistic effects, and augment decision-making performance and value for both providers and payers. This article presents an information system that can provide complete and integrated support for e-commerce-based health care decision making. The article describes health care e-commerce, presents the system, examines the system's potential use and benefits, and draws implications for health care management and practice.

  10. SONARES - A decision support system in ultrasound investigations

    Directory of Open Access Journals (Sweden)

    L.Burtseva

    2007-07-01

    Full Text Available The article represents synthesis of results obtained in the process of development of SonaRes - the decision support system for ultrasonographic diagnosis. The system structure, its main components are described, the series of problems with which the developers of Clinical Decision Support Systems confront are examined.

  11. A strategic decision support system for logistics and supply chain ...

    Indian Academy of Sciences (India)

    Home; Journals; Sadhana; Volume 41; Issue 6. A strategic decision support system ... This paper aims to develop a strategic decision support system for logistics and supply chain network design of a multi-stage, multi-commodity, and multi-period distribution and transportation system. A mixed integer linear programming ...

  12. Active Learning of Markov Decision Processes for System Verification

    DEFF Research Database (Denmark)

    Chen, Yingke; Nielsen, Thomas Dyhre

    2012-01-01

    demanding process, and this shortcoming has motivated the development of algorithms for automatically learning system models from observed system behaviors. Recently, algorithms have been proposed for learning Markov decision process representations of reactive systems based on alternating sequences...

  13. Toward Holistic Joint Force Structure Decisions

    Science.gov (United States)

    2009-05-01

    Middle East Electronic Books : 2005, accessed 10 February 2009), 5-6; available from http://www.majalla.org; Internet. The title of his book comes...Qutb, Syed. "Milestone." Studies in Islam and the Middle East Electronic Books . 2005. http://www.majalla.org/ (accessed February 10, 2009). Rabasa

  14. Holistic education and complexity thinking

    OpenAIRE

    Jörg, T.

    2007-01-01

    Paper proposal for the SIG Holistic Education at AERA 2007 Title: Holistic Education and Complexity Thinking Ton Jörg IVLOS Institute of Education University of Utrecht The Netherlands ABSTRACT In this paper I link complexity thinking with Holistic Education (HE). It is a challenge to show how HE may benefit of thinking in complexity. For me thinking in complexity is a way of humanizing our scientific thinking. It asks for a reform of our thinking. The rethinking of com...

  15. The application of holistic risk management in the banking industry

    Directory of Open Access Journals (Sweden)

    J. Chibayambuya

    2007-12-01

    Full Text Available Purpose: The application of holistic risk management is fast becoming a standard measure of good governance in the business arena. What role can holistic risk management play in the management of risk in the financial services industry? The aim of this paper is to propose a holistic risk management framework for the management of risk. Design/Methodology/Approach: A comprehensive framework that covers the holistic view risk management is proposed/developed out of an extensive literature review. Findings: Given the deliberations of various frameworks, a holistic risk management is proposed. The proposed framework ensures that all components of risk management are taken into account when strategizing for risk management in general and holistic risk management in particular; thereby improving the management of risk in the banking industry. Implications: The article proposes a holistic approach to risk management which takes into account all the facets of risk management, e.g. analyzing, planning, strategy, communication, implementation, motivation, systems review and plan modification. This holistic approach, when implemented in the banking industry, can have a significant impact on the improved management of risk. Originality/Value: The new proposed holistic risk management framework offers a fresh perspective of strategizing for risk management in terms of risk analysis, risk planning, risk strategy, risk communication, risk implementation, risk motivation, risk review and risk plan modification.

  16. Visualization-based decision support for value-driven system design

    Science.gov (United States)

    Tibor, Elliott

    In the past 50 years, the military, communication, and transportation systems that permeate our world, have grown exponentially in size and complexity. The development and production of these systems has seen ballooning costs and increased risk. This is particularly critical for the aerospace industry. The inability to deal with growing system complexity is a crippling force in the advancement of engineered systems. Value-Driven Design represents a paradigm shift in the field of design engineering that has potential to help counteract this trend. The philosophy of Value-Driven Design places the desires of the stakeholder at the forefront of the design process to capture true preferences and reveal system alternatives that were never previously thought possible. Modern aerospace engineering design problems are large, complex, and involve multiple levels of decision-making. To find the best design, the decision-maker is often required to analyze hundreds or thousands of combinations of design variables and attributes. Visualization can be used to support these decisions, by communicating large amounts of data in a meaningful way. Understanding the design space, the subsystem relationships, and the design uncertainties is vital to the advancement of Value-Driven Design as an accepted process for the development of more effective, efficient, robust, and elegant aerospace systems. This research investigates the use of multi-dimensional data visualization tools to support decision-making under uncertainty during the Value-Driven Design process. A satellite design system comprising a satellite, ground station, and launch vehicle is used to demonstrate effectiveness of new visualization methods to aid in decision support during complex aerospace system design. These methods are used to facilitate the exploration of the feasible design space by representing the value impact of system attribute changes and comparing the results of multi-objective optimization formulations

  17. A Geospatial Decision Support System Toolkit Project

    Data.gov (United States)

    National Aeronautics and Space Administration — We propose to design a working prototype Geospatial Decision Support Toolkit (GeoKit) that will enable scientists, agencies, and stakeholders to configure and deploy...

  18. Multiple memory systems as substrates for multiple decision systems.

    Science.gov (United States)

    Doll, Bradley B; Shohamy, Daphna; Daw, Nathaniel D

    2015-01-01

    It has recently become widely appreciated that value-based decision making is supported by multiple computational strategies. In particular, animal and human behavior in learning tasks appears to include habitual responses described by prominent model-free reinforcement learning (RL) theories, but also more deliberative or goal-directed actions that can be characterized by a different class of theories, model-based RL. The latter theories evaluate actions by using a representation of the contingencies of the task (as with a learned map of a spatial maze), called an "internal model." Given the evidence of behavioral and neural dissociations between these approaches, they are often characterized as dissociable learning systems, though they likely interact and share common mechanisms. In many respects, this division parallels a longstanding dissociation in cognitive neuroscience between multiple memory systems, describing, at the broadest level, separate systems for declarative and procedural learning. Procedural learning has notable parallels with model-free RL: both involve learning of habits and both are known to depend on parts of the striatum. Declarative memory, by contrast, supports memory for single events or episodes and depends on the hippocampus. The hippocampus is thought to support declarative memory by encoding temporal and spatial relations among stimuli and thus is often referred to as a relational memory system. Such relational encoding is likely to play an important role in learning an internal model, the representation that is central to model-based RL. Thus, insofar as the memory systems represent more general-purpose cognitive mechanisms that might subserve performance on many sorts of tasks including decision making, these parallels raise the question whether the multiple decision systems are served by multiple memory systems, such that one dissociation is grounded in the other. Here we investigated the relationship between model-based RL and

  19. Multi-tiered S-SOA, Parameter-Driven New Islamic Syariah Products of Holistic Islamic Banking System (HiCORE): Virtual Banking Environment

    Science.gov (United States)

    Halimah, B. Z.; Azlina, A.; Sembok, T. M.; Sufian, I.; Sharul Azman, M. N.; Azuraliza, A. B.; Zulaiha, A. O.; Nazlia, O.; Salwani, A.; Sanep, A.; Hailani, M. T.; Zaher, M. Z.; Azizah, J.; Nor Faezah, M. Y.; Choo, W. O.; Abdullah, Chew; Sopian, B.

    The Holistic Islamic Banking System (HiCORE), a banking system suitable for virtual banking environment, created based on universityindustry collaboration initiative between Universiti Kebangsaan Malaysia (UKM) and Fuziq Software Sdn Bhd. HiCORE was modeled on a multitiered Simple - Services Oriented Architecture (S-SOA), using the parameterbased semantic approach. HiCORE's existence is timely as the financial world is looking for a new approach to creating banking and financial products that are interest free or based on the Islamic Syariah principles and jurisprudence. An interest free banking system has currently caught the interest of bankers and financiers all over the world. HiCORE's Parameter-based module houses the Customer-information file (CIF), Deposit and Financing components. The Parameter based module represents the third tier of the multi-tiered Simple SOA approach. This paper highlights the multi-tiered parameter- driven approach to the creation of new Islamiic products based on the 'dalil' (Quran), 'syarat' (rules) and 'rukun' (procedures) as required by the syariah principles and jurisprudence reflected by the semantic ontology embedded in the parameter module of the system.

  20. Holistic Modeling, Design & Analysis of Integrated Stirling and Auxiliary Clean Energy Systems for Combined Heat and Power Applications

    Science.gov (United States)

    Nayak, Amrit Om

    The research revolves around the development of a model to design and analyze Stirling systems. Lack of a standard approach to study Stirling systems and difficulty in generalizing existing approaches pose stiff challenges. A stable mathematical model (integrated second order adiabatic and dynamic model) is devised and validated for general use. The research attempts to design compact combined heat and power (CHP) system to run on multiple biomass fuels and solar energy. Analysis is also carried out regarding the design of suitable auxiliary systems like thermal energy storage system, biomass moisture removal system and Fresnel solar collector for the CHP Stirling system.

  1. ACCOUNTING KNOWLEDGE IN FORESTRY'S DECISION SUPPORT SYSTEMS. LITERATURE REVIEW.

    OpenAIRE

    Daniela I. POSTOLACHE (MALES)

    2010-01-01

    Accounting information, processed through modern type of decision support systems, in appropriate economic analysis framework, using previous experience, gives extra knowledge to forestry managers. In our paper, we conducted a literature review, in the field of decision support systems used in international forestry, but also about the Romanian prospects and achievements in this area. Our results are useful to researchers and developers of decision support intelligent solutions, to forestry a...

  2. Towards a Holistic Approach in EU Biomass Regulation

    NARCIS (Netherlands)

    Giljam, Renske

    The energy transition requires a legal system that promotes the most sustainable forms of energy. This requires a holistic approach that accounts for all effects of energy production throughout the energy chain. This article analyses the presence of holistic elements in the current legal framework

  3. An online infertility clinical decision support system

    Directory of Open Access Journals (Sweden)

    Fabio Diniz de Souza

    2017-09-01

    Full Text Available Objective: To explore some possibilities of computer applications in medicine, and to discuss an online infertility clinical decision support system. Methods: Retrospective data were obtained from 52 couples, and then entered into the online tool. Both its results and the initial diagnoses obtained by the treating physicians were compared with the final diagnoses established by laparoscopy and other diagnostic tests (semen analysis, hormone analysis, endometrial biopsy, ultrasound and hysteroscopy. The initial hypothesis of the research was that the online tool’s output was statistically associated with the final diagnoses. In order to verify that hypothesis, a chi-square (氈2 test with Yates’ correction for continuity (P<0.05 was performed to verify if the online tool’s and the doctor’s diagnoses were statistically associated with the final diagnoses. Results: Four etiological factors were present in more than 50% of the couples (ovarian, tubal-peritoneal, uterine, and endometriosis. The statistical results confirmed the research hypothesis for eight out of the nine etiological factors (ovarian, tubal-peritoneal, uterine, cervical, male, vaginal, psychosomatic, and endometriosis; P<0.05. Since there were no cases related to the immune factor in the sample, further clinical data are necessary in order to assess the online tool’s performance for that factor. Conclusions: The online tool tends to present more false-positives than false negatives, whereas the expert physician tends to present more false-negatives than false-positives. Therefore, the online tool and the doctor seem to complement each other. Finally, the obtained results suggest that the infertility online tool discussed herein might be a useful research and instructional tool.

  4. The Impact of ERP Systems on Business Decision-Making

    OpenAIRE

    Dusanka Lecic; Aleksandar Kupusinac

    2013-01-01

    In this paper, the authors will introduce you to the ERP system and refer to its impact on decision-making within a company. The fact that they have on their decisions, automatically affect the company's business. The basis of business process automation is the use of a well-organized information system. Because of existence two markets in producing ERP systems, business management system creates a confusing picture when choosing the appropriate solutions for business information systems.

  5. A Holistic Approach to Automated Synthesis of Mixed-technology Digital MEMS Sensors Part 2: Synthesis of a MEMS System with Associated Control Loop

    Directory of Open Access Journals (Sweden)

    Chenxu ZHAO

    2010-06-01

    Full Text Available Part 2 of this paper presents a holistic synthesis approach to designing both the mechanical layout and associated electronic control in a mixed-domain MEMS sensor. It develops further the concepts presented in Part 1 which focuses on layout synthesis of the mechanical part only. A case study is discussed where the proposed genetic-based synthesis approach implemented in SystemC-AGNES is applied to a high order ΣΔ control system in an electromechanical MEMS accelerometer. The method efficiently and in an automated manner generates suitable configurations of the ΣΔ control loop by combining primitive components stored in a library and optimizes them according to user specifications. The synthesis results show that the proposed technique explores the configuration space effectively and it develops new circuit structures which have not been investigated before. The noise floors in the MEMS accelerometers synthesized by SystemC-AGNES are further reduced leading to an improvement of the SNR compared with a manually designed standard electromechanical ΣΔ MEMS accelerometer.

  6. Water supply system decision making using multicriteria analysis

    African Journals Online (AJOL)

    2005-07-04

    Jul 4, 2005 ... implementation of the water supply system. This study describes the application of multicriteria decision aid for choosing the priority city to receive a water supply system, using the ELECTRE methodology. It was found that this type of methodol- ogy accommodates the decision-making in selecting a locality, ...

  7. Conceptualising a system for quality clinical decision-making in ...

    African Journals Online (AJOL)

    Quality clinical decision-making in nursing is the essence of quality nursing care delivery. The purpose of this article is to conceptualise a system for quality clinical decision-making in nursing. A system for quality clinical decisionmaking in nursing was conceptualised based on a review of the literature pertaining to clinical ...

  8. An appropriateness framework for the Dutch Meuse decision support system

    NARCIS (Netherlands)

    Xu, YuePing; Xu, Yue-Ping; Booij, Martijn J.; Mynett, Arthur; Mynett, Arthur E.

    2007-01-01

    Models are essential in a decision support system for river basin management. In a decision support system for integrated planning and management, the use of appropriate models is important to avoid models being either too simple or too complex. In this paper, appropriate models refer to models that

  9. HIERARCHICAL SCALING OF MARKETING DECISION-SUPPORT SYSTEMS

    NARCIS (Netherlands)

    WIERENGA, B; OPHUIS, PAMO; HUIZINGH, EKR; VANCAMPEN, PAFM

    1994-01-01

    Marketing Decision Support Systems (MDSS) show a large variety in functionality and form. In this paper a scale is developed that measures the sophistication of a Marketing Decision Support System. This scale, based on Guttman's Scalogram Analysis, is hierarchical in nature: more sophisticated MDSS

  10. Decision support systems for robotic surgery and acute care

    Science.gov (United States)

    Kazanzides, Peter

    2012-06-01

    Doctors must frequently make decisions during medical treatment, whether in an acute care facility, such as an Intensive Care Unit (ICU), or in an operating room. These decisions rely on a various information sources, such as the patient's medical history, preoperative images, and general medical knowledge. Decision support systems can assist by facilitating access to this information when and where it is needed. This paper presents some research eorts that address the integration of information with clinical practice. The example systems include a clinical decision support system (CDSS) for pediatric traumatic brain injury, an augmented reality head- mounted display for neurosurgery, and an augmented reality telerobotic system for minimally-invasive surgery. While these are dierent systems and applications, they share the common theme of providing information to support clinical decisions and actions, whether the actions are performed with the surgeon's own hands or with robotic assistance.

  11. MOIDSS?- Mobile Online Intelligent Decision Support System Project

    Data.gov (United States)

    National Aeronautics and Space Administration — GRID has had a successfully completed Phase I 'Mobile Online Intelligent Decision Support System' (MOIDSS). The system developed into a total solution that supports...

  12. Experimental analysis of humanistic systems in decision making ...

    African Journals Online (AJOL)

    Experimental analysis of humanistic systems in decision making. ... Journal of Applied Science and Technology ... Computational techniques for generating intuitionistic fuzzy random numbers (IFRNs) for the formulation of test problems in the management of humanistic systems have been developed and implemented.

  13. Decision Making and Systems Thinking: Educational Issues

    Science.gov (United States)

    Yurtseven, M. Kudret; Buchanan, Walter W.

    2016-01-01

    Decision making in most universities is taught within the conventional OR/MS (Operations Research/Management Science) paradigm. This paradigm is known to be "hard" since it is consisted of mathematical tools, and normally suitable for solving structured problems. In complex situations the conventional OR/MS paradigm proves to be…

  14. A Layered Decision Model for Cost-Effective System Security

    Energy Technology Data Exchange (ETDEWEB)

    Wei, Huaqiang; Alves-Foss, James; Soule, Terry; Pforsich, Hugh; Zhang, Du; Frincke, Deborah A.

    2008-10-01

    System security involves decisions in at least three areas: identification of well-defined security policies, selection of cost-effective defence strategies, and implementation of real-time defence tactics. Although choices made in each of these areas affect the others, existing decision models typically handle these three decision areas in isolation. There is no comprehensive tool that can integrate them to provide a single efficient model for safeguarding a network. In addition, there is no clear way to determine which particular combinations of defence decisions result in cost-effective solutions. To address these problems, this paper introduces a Layered Decision Model (LDM) for use in deciding how to address defence decisions based on their cost-effectiveness. To validate the LDM and illustrate how it is used, we used simulation to test model rationality and applied the LDM to the design of system security for an e-commercial business case.

  15. Group decision support system for customer-driven product design

    Science.gov (United States)

    Lin, Zhihang; Chen, Hang; Chen, Kuen; Che, Ada

    2000-10-01

    This paper describes the work on the development of a group decision support system for customer driven product design. The customer driven is to develop products, which meet all customer requirements in whole life cycle of products. A process model of decision during product primary design is proposed to formulate the structured, semi-structured and unstructured decision problems. The framework for the decision support system is presented that integrated both advances in the group decision making and distributed artificial intelligent. The system consists of the product primary design tool kit and the collaborative platform with multi-agent structure. The collaborative platform of the system and the product primary design tool kit, including the VOC (Voice of Customer) tool, QFD (Quality Function Deployment) tool, the Conceptual design tool, Reliability analysis tool and the cost and profit forecasting tool, are indicated.

  16. MONITORING STUDENT PERFORMANCE. A DATA DRIVEN DECISION SUPPORT SYSTEM APPROACH

    Directory of Open Access Journals (Sweden)

    Vasile GORGAN

    2015-06-01

    Full Text Available Data Driven Decision Support Systems are mature technologies whose effectiveness in business and management seem to be well established and uncontroversial. Under the circumstances of increased competition between universities in their attempt to better position themselves on the market of educational services, a Data Driven Decision Support System could become a powerful instrument meant to enhance all the decisions that target various aspects of the educational process. This paper is a case study conducted in a Romanian university, presenting the development of such a system, emphasizing the analytical capabilities related to student results at exams, as this topic is of interest for the users of the system.

  17. Nurses' Clinical Decision Making on Adopting a Wound Clinical Decision Support System.

    Science.gov (United States)

    Khong, Peck Chui Betty; Hoi, Shu Yin; Holroyd, Eleanor; Wang, Wenru

    2015-07-01

    Healthcare information technology systems are considered the ideal tool to inculcate evidence-based nursing practices. The wound clinical decision support system was built locally to support nurses to manage pressure ulcer wounds in their daily practice. However, its adoption rate is not optimal. The study's objective was to discover the concepts that informed the RNs' decisions to adopt the wound clinical decision support system as an evidence-based technology in their nursing practice. This was an exploratory, descriptive, and qualitative design using face-to-face interviews, individual interviews, and active participatory observation. A purposive, theoretical sample of 14 RNs was recruited from one of the largest public tertiary hospitals in Singapore after obtaining ethics approval. After consenting, the nurses were interviewed and observed separately. Recruitment stopped when data saturation was reached. All transcribed interview data underwent a concurrent thematic analysis, whereas observational data were content analyzed independently and subsequently triangulated with the interview data. Eight emerging themes were identified, namely, use of the wound clinical decision support system, beliefs in the wound clinical decision support system, influences of the workplace culture, extent of the benefits, professional control over nursing practices, use of knowledge, gut feelings, and emotions (fear, doubt, and frustration). These themes represented the nurses' mental outlook as they made decisions on adopting the wound clinical decision support system in light of the complexities of their roles and workloads. This research has provided insight on the nurses' thoughts regarding their decision to interact with the computer environment in a Singapore context. It captured the nurses' complex thoughts when deciding whether to adopt or reject information technology as they practice in a clinical setting.

  18. A new holistic genome viewer for molecular genetics.

    NARCIS (Netherlands)

    H.J.F.M.M. Eussen (Bert); M.J. Moorhouse (Michael); M. Lesnussa (Michael); M. Muetgeert (Maarten); T.A. Knoch (Tobias)

    2006-01-01

    textabstractGenomes are tremendous co-evolutionary holistic systems for molecular storage, processing and fabrication of information. Their system-biological complexity remains, however, still largely mysterious, despite immense sequencing achievements and huge advances in the understanding of

  19. A new holistic genome viewer for molecular genetics

    NARCIS (Netherlands)

    T.A. Knoch (Tobias); L.V. de Zeeuw (Luc)

    2006-01-01

    textabstractGenomes are tremendous co-evolutionary holistic systems for molecular storage, processing and fabrication of information. Their system-biological complexity remains, however, still largely mysterious, despite immense sequencing achievements and huge advances in the understanding

  20. The reliability of an epilepsy treatment clinical decision support system.

    Science.gov (United States)

    Standridge, Shannon; Faist, Robert; Pestian, John; Glauser, Tracy; Ittenbach, Richard

    2014-10-01

    We developed a content validated computerized epilepsy treatment clinical decision support system to assist clinicians with selecting the best antiepilepsy treatments. Before disseminating our computerized epilepsy treatment clinical decision support system, further rigorous validation testing was necessary. As reliability is a precondition of validity, we verified proof of reliability first. We evaluated the consistency of the epilepsy treatment clinical decision support system in three areas including the preferred antiepilepsy drug choice, the top three recommended choices, and the rank order of the three choices. We demonstrated 100% reliability on 15,000 executions involving a three-step process on five different common pediatric epilepsy syndromes. Evidence for the reliability of the epilepsy treatment clinical decision support system was essential for the long-term viability of the system, and served as a crucial component for the next phase of system validation.

  1. Holistic Evaluation of Decentralized Water Reuse: Life Cycle Assessment and Cost Analysis of Membrane Bioreactor Systems in Water Reuse Implementation

    Science.gov (United States)

    Understand environmental and cost impacts of transitional decentralized MBR systems with sewer mining Assess aerobic MBRs (AeMBR) and anaerobic MBRs (AnMBR) Use LCA and life cycle cost (LCC) analysis to quantify impacts Investigate LCA and LCC performance of MBRs under various re...

  2. Relational Algebra in Spatial Decision Support Systems Ontologies.

    Science.gov (United States)

    Diomidous, Marianna; Chardalias, Kostis; Koutonias, Panagiotis; Magnita, Adrianna; Andrianopoulos, Charalampos; Zimeras, Stelios; Mechili, Enkeleint Aggelos

    2017-01-01

    Decision Support Systems (DSS) is a powerful tool, for facilitates researchers to choose the correct decision based on their final results. Especially in medical cases where doctors could use these systems, to overcome the problem with the clinical misunderstanding. Based on these systems, queries must be constructed based on the particular questions that doctors must answer. In this work, combination between questions and queries would be presented via relational algebra.

  3. Decision support for information systems management : applying analytic hierarchy process

    NARCIS (Netherlands)

    Huizingh, Eelko K.R.E.; Vrolijk, Hans C.J.

    1995-01-01

    Decision-making in the field of information systems has become more complex due to a larger number of alternatives, multiple and sometimes conflicting goals, and an increasingly turbulent environment. In this paper we explore the appropriateness of Analytic Hierarchy Process to support I/S decision

  4. Visualization of uncertainty in spatial decision support systems

    NARCIS (Netherlands)

    Aerts, J.C.J.H.; Clarke, L.A.; Keuper, A.D.

    2003-01-01

    Many land allocation issues, such as land-use planning, require input from extensive spatial databases and involve complex decision-making. Spatial decision support systems (SDSS) are designed to make these issues more transparent and to support the design and evaluation of land allocation

  5. Applications of Bayesian decision theory to intelligent tutoring systems

    NARCIS (Netherlands)

    Vos, Hendrik J.

    1994-01-01

    Some applications of Bayesian decision theory to intelligent tutoring systems are considered. How the problem of adapting the appropriate amount of instruction to the changing nature of a student's capabilities during the learning process can be situated in the general framework of Bayesian decision

  6. Decision Support System for Optimized Herbicide Dose in Spring Barley

    DEFF Research Database (Denmark)

    Sønderskov, Mette; Kudsk, Per; Mathiassen, Solvejg K

    2014-01-01

    Crop Protection Online (CPO) is a decision support system, which integrates decision algorithms quantifying the requirement for weed control and a herbicide dose model. CPO was designed to be used by advisors and farmers to optimize the choice of herbicide and dose. The recommendations from CPO...

  7. Clinical Holistic Medicine: Holistic Pelvic Examination and Holistic Treatment of Infertility

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2004-01-01

    Full Text Available In clinical holistic practice, it is recommended that ample time is spent with the gynecological or pelvic examination, especially in cases of women with suspected old emotional traumas following early childhood cases of incest or sexual abuse. The holistic principles of holding and processing should be followed with the purpose of healing the patient, re-establishing the natural relationship with the body, sexuality, and reproductive organs. Sexual violations are often forcibly repressed. It appears that the tissues that were touched during the violation often bear the trauma. It is characteristic of these patients that their love lives are often problematic and do not provide the necessary support to heal the old wounds in the soul and therapy is therefore indicated. When this is concerned with the reproductive organs, it poses particular difficulties, as the therapy can easily be experienced as a repetition of the original violation, not least due to the risk of projection and transference. There is, therefore, a need for a procedure that is familiar to and safe for the patient, for all work that involves therapeutic touching of sexual organs over and beyond what is standard medical practice. This paper presents one case story of earlier child sexual abuse and one case of temporary infertility. We have established a procedure of slow or extended pelvic examination, where time is spent to make the patient familiar with the examination and accept the whole procedure, before the treatment is initiated. The procedure is carried out with a nurse, and 3 h are set aside. It includes conversation on the present condition and symptoms; concept of boundaries; about how earlier assaults can be projected into the present; establishment of the therapeutic room as a safe place; exercises on when to say “stop”; therapeutic touch; visualization of the pelvic examination step by step beforehand; touching on the outside of the clothes with repetition of the

  8. Developing the US Wildland Fire Decision Support System

    Directory of Open Access Journals (Sweden)

    Erin K. Noonan-Wright

    2011-01-01

    Full Text Available A new decision support tool, the Wildland Fire Decision Support System (WFDSS has been developed to support risk-informed decision-making for individual fires in the United States. WFDSS accesses national weather data and forecasts, fire behavior prediction, economic assessment, smoke management assessment, and landscape databases to efficiently formulate and apply information to the decision making process. Risk-informed decision-making is becoming increasingly important as a means of improving fire management and offers substantial opportunities to benefit natural and community resource protection, management response effectiveness, firefighter resource use and exposure, and, possibly, suppression costs. This paper reviews the development, structure, and function of WFDSS, and how it contributes to increased flexibility and agility in decision making, leading to improved fire management program effectiveness.

  9. Web-Based Group Decision Support System: an Economic Application

    Directory of Open Access Journals (Sweden)

    Ion ISTUDOR

    2010-01-01

    Full Text Available Decision Support Systems (DSS form a specific class of computerized information systems that support business and managerial decision-making activities. Making the right decision in business primarily depends on the quality of data. It also depends on the ability to analyze the data with a view to identifying trends that can suggest solutions and strategies. A “cooperative” decision support system means the data are collected, analyzed and then provided to a human agent who can help the system to revise or refine the data. It means that both a human component and computer component work together to come up with the best solution. This paper describes the usage of a software product (Vanguard System to a specific economic application (evaluating the financial risk assuming that the rate of the economic profitability can be under the value of the interest rate.

  10. METHODOLOGY FOR ANALYSIS OF DECISION MAKING IN AIR NAVIGATION SYSTEM

    Directory of Open Access Journals (Sweden)

    Volodymyr Kharchenko

    2011-03-01

    Full Text Available Abstract. In the research of Air Navigation System as a complex socio-technical system the methodologyof analysis of human-operator's decision-making has been developed. The significance of individualpsychologicalfactors as well as the impact of socio-psychological factors on the professional activities of ahuman-operator during the flight situation development from normal to catastrophic were analyzed. On thebasis of the reflexive theory of bipolar choice the expected risks of decision-making by the Air NavigationSystem's operator influenced by external environment, previous experience and intentions were identified.The methods for analysis of decision-making by the human-operator of Air Navigation System usingstochastic networks have been developed.Keywords: Air Navigation System, bipolar choice, human operator, decision-making, expected risk, individualpsychologicalfactors, methodology of analysis, reflexive model, socio-psychological factors, stochastic network.

  11. Holistic Thinking Aproach: Case Study of Post Network in Slovenia

    Directory of Open Access Journals (Sweden)

    Andrej Lisec

    2008-03-01

    Full Text Available Modern complexity of management is associated with importantdecision making, confronting a great number of uselessinformation. Selection of information- the choice of only qualityones, i. e. essential ones, is a big problem in management decision-making. Implementation of systemic approach i. e. dialectical-network thinking (DNT can help to deal with it. Thepaper presents a holistic thinking approach in a case study forthe Slovenian parcel postal problem. The volume of parcelflows at the Post of Slovenia between Posts is increasing rapidlyand it requires a new design of the postal network. This paperpresents a reorganization of parcel services between Postal LogisticsCenters and Posts by adding Regional Parcel Centersand Parcel Posts to the network. A case for the area covered byLjubljana Postal Logistics Center is given, which takes intoconsideration the sorting out and the retaining of parcels in thePosts, Parcel Posts and Regional Parcel Centers within their individualareas.

  12. A Stochastic Decision Support System for Economic Order Quantity Problem

    Directory of Open Access Journals (Sweden)

    Amir Yousefli

    2012-01-01

    Full Text Available Improving decisions efficiency is one of the major concerns of the decision support systems. Specially in the uncertain environment, decision support systems could be implemented efficiently to simplify decision making process. In this paper stochastic economic order quantity (EOQ problem is investigated in which decision variables and objective function are uncertain in nature and optimum probability distribution functions of them are calculated through a geometric programming model. Obtained probability distribution functions of the decision variables and the objective function are used as optimum knowledge to design a new probabilistic rule base (PRB as a decision support system for EOQ model. The developed PRB is a new type of the stochastic rule bases that can be used to infer optimum or near optimum values of the decision variables and the objective function of the EOQ model without solving the geometric programming problem directly. Comparison between the results of the developed PRB and the optimum solutions which is provided in the numerical example illustrates the efficiency of the developed PRB.

  13. Systemic decision making fundamentals for addressing problems and messes

    CERN Document Server

    Hester, Patrick T

    2017-01-01

    This expanded second edition of the 2014 textbook features dedicated sections on action and observation, so that the reader can combine the use of the developed theoretical basis with practical guidelines for deployment. It also includes a focus on selection and use of a dedicated modeling paradigm – fuzzy cognitive mapping – to facilitate use of the proposed multi-methodology. The end goal of the text is a holistic, interdisciplinary approach to structuring and assessing complex problems, including a dedicated discussion of thinking, acting, and observing complex problems. The multi-methodology developed is scientifically grounded in systems theory and its accompanying principles, while the process emphasizes the nonlinear nature of all complex problem-solving endeavors. The authors’ clear and consistent chapter structure facilitates the book’s use in the classroom.

  14. Holistic approach to production systems from the perspective of lean manufacturing and viable systems model; Aproximacion holistica a los sistemas de produccion desde la perspectiva Lean Manufacturing y Modelos de Sistemas Viables

    Energy Technology Data Exchange (ETDEWEB)

    Puche Regaliza, J. C.; Costas Gual, J.

    2012-07-01

    The reductionism approach usually adopted by many organizations provokes too often a problem of sustain ability in the market over time in these organizations. To increase this sustain ability, we propose a structural and a behavioral change, in a way that the reductionism is replaced by an holistic approach appropriate to address the dynamic complexity inherent in any organization. With regard to structural change, we propose the use of Organizational Cybernetics and particularly the Viable System Model. With respect to behavior change, we propose the use of Lean Manufacturing paradigm. (Author)

  15. MODIS-Based Products for Operational Decision Support Systems Project

    Data.gov (United States)

    National Aeronautics and Space Administration — SMH Consulting proposes to develop a web-based decision support system to assist in Rapid Assessment, Monitoring, and Management (RAMM-DSS) on a regional scale. SMH...

  16. Low Band Telemedicine Decision Support System for Disaster Situations

    National Research Council Canada - National Science Library

    Hastings, Patricia

    2000-01-01

    Project accomplishments as of the date of the report: The first part of the project involves development of software in preparation for field testing of the trauma web-based decision support system. Dr...

  17. Marketing decision support systems: Adoption, use and satisfaction.

    NARCIS (Netherlands)

    Wierenga, B.; Oude Ophuis, P.A.M.

    1997-01-01

    This paper deals with marketing decision support systems (MDSS) in companies. In a conceptual framework five categories of factors are distinguished that potentially affect adoption, use, and satisfaction: external environment factors, organizational factors, task environment factors, user factors

  18. Marketing Decision Support Systems: Adoption, Use and Satisfaction

    NARCIS (Netherlands)

    B. Wierenga (Berend); P.A.M. Oude Ophuis (Peter)

    1997-01-01

    textabstractThis paper deals with marketing decision support systems (MDSS) in companies. In a conceptual framework five categories of factors are distinguished that potentially affect adoption, use, and satisfaction: external environment factors, organizational factors, task environment factors,

  19. Decision Analysis System for Selection of Appropriate Decontamination Technologies

    Energy Technology Data Exchange (ETDEWEB)

    Ebadian, M.A.; Boudreaux, J.F.; Chinta, S.; Zanakis, S.H.

    1998-01-01

    The principal objective for designing Decision Analysis System for Decontamination (DASD) is to support DOE-EM's endeavor to employ the most efficient and effective technologies for treating radiologically contaminated surfaces while minimizing personnel and environmental risks. DASD will provide a tool for environmental decision makers to improve the quality, consistency, and efficacy of their technology selection decisions. The system will facilitate methodical comparisons between innovative and baseline decontamination technologies and aid in identifying the most suitable technologies for performing surface decontamination at DOE environmental restoration sites.

  20. Application of GIS in foreign direct investment decision support system

    Science.gov (United States)

    Zhou, Jianlan; Sun, Koumei

    2007-06-01

    It is important to make decisions on how to attract foreign direct investment (FDI) to China and know how the inequality of FDI introduction by locational different provinces. Following background descriptions on China's FDI economic environments and FDI-related policies, this paper demonstrates the uses of geographical information system (GIS) and multi-criterion decision-making (MCDM) framework in solving a spatial multi-objective problem of evaluating and ranking China's provinces for FDI introduction. It implements a foreign direct investment decision support system, which reveals the main determinants of FDI in China and gives some results of regional geographical analysis over spatial data.

  1. A Decision Support System for Solving Linear Programming Problems

    OpenAIRE

    Nikolaos Ploskas; Nikolaos Samaras; Jason Papathanasiou

    2014-01-01

    Linear programming algorithms have been widely used in Decision Support Systems. These systems have incorporated linear programming algorithms for the solution of the given problems. Yet, the special structure of each linear problem may take advantage of different linear programming algorithms or different techniques used in these algorithms. This paper proposes a web-based DSS that assists decision makers in the solution of linear programming problems with a variety of linear programming alg...

  2. Information bounds and quickest change detection in decentralized decision systems

    OpenAIRE

    Mei, Yajun

    2005-01-01

    The quickest change detection problem is studied in decentralized decision systems, where a set of sensors receive independent observations and send summary messages to the fusion center, which makes a final decision. In the system where the sensors do not have access to their past observations, the previously conjectured asymptotic optimality of a procedure with a monotone likelihood ratio quantizer (MLRQ) is proved. In the case of additive Gaussian sensor noise, if the signal-to-noise ratio...

  3. Health-care process improvement decisions: a systems perspective.

    Science.gov (United States)

    Walley, Paul; Silvester, Kate; Mountford, Shaun

    2006-01-01

    The paper seeks to investigate decision-making processes within hospital improvement activity, to understand how performance measurement systems influence decisions and potentially lead to unsuccessful or unsustainable process changes. A longitudinal study over a 33-month period investigates key events, decisions and outcomes at one medium-sized hospital in the UK. Process improvement events are monitored using process control methods and by direct observation. The authors took a systems perspective of the health-care processes, ensuring that the impacts of decisions across the health-care supply chain were appropriately interpreted. The research uncovers the ways in which measurement systems disguise failed decisions and encourage managers to take a low-risk approach of "symptomatic relief" when trying to improve performance metrics. This prevents many managers from trying higher risk, sustainable process improvement changes. The behaviour of the health-care system is not understood by many managers and this leads to poor analysis of problem situations. Measurement using time-series methodologies, such as statistical process control are vital for a better understanding of the systems impact of changes. Senior managers must also be aware of the behavioural influence of similar performance measurement systems that discourage sustainable improvement. There is a risk that such experiences will tarnish the reputation of performance management as a discipline. Recommends process control measures as a way of creating an organization memory of how decisions affect performance--something that is currently lacking.

  4. Brief Survey of Operational Decision Support Systems

    Science.gov (United States)

    1979-02-01

    Controls Contardo Chesapeake Instruments Electronic Systems Hydrosysterns Ocean Systems Government Systems . WEEKLY STATUS ITEMS Receivable Days...Crosn Salps -KxtocnaI (T,i-l!ltiTcr>. (T.C.D) Sales DoductLotis (T,C,r)) Net Sains (T,(J,D) Cost of Good;! Sold <T,C,D) Cross

  5. A Decision Fusion Framework for Treatment Recommendation Systems.

    Science.gov (United States)

    Mei, Jing; Liu, Haifeng; Li, Xiang; Xie, Guotong; Yu, Yiqin

    2015-01-01

    Treatment recommendation is a nontrivial task--it requires not only domain knowledge from evidence-based medicine, but also data insights from descriptive, predictive and prescriptive analysis. A single treatment recommendation system is usually trained or modeled with a limited (size or quality) source. This paper proposes a decision fusion framework, combining both knowledge-driven and data-driven decision engines for treatment recommendation. End users (e.g. using the clinician workstation or mobile apps) could have a comprehensive view of various engines' opinions, as well as the final decision after fusion. For implementation, we leverage several well-known fusion algorithms, such as decision templates and meta classifiers (of logistic and SVM, etc.). Using an outcome-driven evaluation metric, we compare the fusion engine with base engines, and our experimental results show that decision fusion is a promising way towards a more valuable treatment recommendation.

  6. Transformation of the System of Values of Autonomous Learning for English Acquisition in Blended E-Studies for Adults: A Holistic Fractal Model

    Science.gov (United States)

    Bojare, Inara; Skrinda, Astrida

    2016-01-01

    The present study is aimed at creating a holistic fractal model (HFM) of autonomous learning for English acquisition in a blended environment of e-studies in adult non-formal education on the basis of the theories and paradigms of philosophy, psychology and education for sustainable development to promote the development of adult learners'…

  7. The PreferenSort: A Holistic Instrument for Career Counseling

    Science.gov (United States)

    Amit, Adi; Sagiv, Lilach

    2013-01-01

    We present the PreferenSort, a career counseling instrument that derives counselees' vocational interests from their preferences among occupational titles. The PreferenSort allows for a holistic decision process, while taking into account the full complexity of occupations and encouraging deliberation about one's preferences and acceptable…

  8. Computerized Adaptive Test vs. decision trees: Development of a support decision system to identify suicidal behavior.

    Science.gov (United States)

    Delgado-Gomez, D; Baca-Garcia, E; Aguado, D; Courtet, P; Lopez-Castroman, J

    2016-12-01

    Several Computerized Adaptive Tests (CATs) have been proposed to facilitate assessments in mental health. These tests are built in a standard way, disregarding useful and usually available information not included in the assessment scales that could increase the precision and utility of CATs, such as the history of suicide attempts. Using the items of a previously developed scale for suicidal risk, we compared the performance of a standard CAT and a decision tree in a support decision system to identify suicidal behavior. We included the history of past suicide attempts as a class for the separation of patients in the decision tree. The decision tree needed an average of four items to achieve a similar accuracy than a standard CAT with nine items. The accuracy of the decision tree, obtained after 25 cross-validations, was 81.4%. A shortened test adapted for the separation of suicidal and non-suicidal patients was developed. CATs can be very useful tools for the assessment of suicidal risk. However, standard CATs do not use all the information that is available. A decision tree can improve the precision of the assessment since they are constructed using a priori information. Copyright © 2016 Elsevier B.V. All rights reserved.

  9. Information Systems Support for Business Decisions

    OpenAIRE

    Nistor Rozalia; Nistor Costel; Muntean Mihaela-Carmen

    2011-01-01

    Computer systems that form larger, comprehensive study is an essential field in business administration and management, areas considered major economic zone. Thus, systems must respond to the problems of managing hardware, software, data and computer networks in a strategic way to success in business. The importance of information systems lies mainly in the understanding of effective and accountable to all the leaders (managers) or persons in an organization need to adapt to the global inform...

  10. Holistic Approach to Data Center Energy Efficiency

    Energy Technology Data Exchange (ETDEWEB)

    Hammond, Steven W [National Renewable Energy Laboratory (NREL), Golden, CO (United States)

    2017-09-18

    This presentation discusses NREL's Energy System Integrations Facility and NREL's holistic design approach to sustainable data centers that led to the world's most energy-efficient data center. It describes Peregrine, a warm water liquid cooled supercomputer, waste heat reuse in the data center, demonstrated PUE and ERE, and lessons learned during four years of operation.

  11. Computerised decision support systems for healthcare professionals: an interpretative review.

    Science.gov (United States)

    Cresswell, Kathrin; Majeed, Azeem; Bates, David W; Sheikh, Aziz

    2012-01-01

    Computerised decision support systems are designed to support clinicians in making decisions and thereby enhance the quality and safety of care. We aimed to undertake an interpretative review of the empirical evidence on computerised decision support systems, their contexts of use, and summarise evidence on the effectiveness of these tools and insights into how these can be successfully implemented and adopted. We systematically searched the empirical literature to identify systematic literature reviews on computerised decision support applications and their impact on the quality and safety of healthcare delivery over a 13-year period (1997-2010). The databases searched included: MEDLINE, EMBASE, The Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, The Cochrane Central Register of Controlled Trials, The Cochrane Methodology Register, The Health Technology Assessment Database, and The National Health Service (NHS) Economic Evaluation Database. To be eligible for inclusion, systematic reviews needed to address computerised decision support systems, and at least one of the following: impact on safety; quality; or organisational, implementation or adoption considerations. Our searches yielded 121 systematic reviews relating to eHealth, of which we identified 41 as investigating computerised decision support systems. These indicated that, whilst there was a lack of investigating potential risks, such tools can result in improvements in practitioner performance in the promotion of preventive care and guideline adherence, particularly if specific information is available in real time and systems are effectively integrated into clinical workflows. However, the evidence regarding impact on patient outcomes was less clear-cut with reviews finding either no, inconsistent or modest benefits. Whilst the potential of clinical decision support systems in improving, in particular, practitioner performance is considerable, such technology may

  12. Relevant Costs for Decision in an Effective Controlling System

    Directory of Open Access Journals (Sweden)

    Mihaela TULVINSCHI

    2010-05-01

    Full Text Available Controlling is considered a leading concept in the sense of coordination, planning, control and automation, in order to produce the synthesis necessary in decision making. The purpose of article is to highlight the link between a dynamic accounting system and an effective controlling system. The research method used is based on the idea that the cost analysis in an efficient controlling system involves obtaining accounting information from within the entity which management then uses in decision making. In conclusion, we emphasize that an effective controlling system must provide managers the tools to meet their informational needs.

  13. A fuzzy expert system for diabetes decision support application.

    Science.gov (United States)

    Lee, Chang-Shing; Wang, Mei-Hui

    2011-02-01

    An increasing number of decision support systems based on domain knowledge are adopted to diagnose medical conditions such as diabetes and heart disease. It is widely pointed that the classical ontologies cannot sufficiently handle imprecise and vague knowledge for some real world applications, but fuzzy ontology can effectively resolve data and knowledge problems with uncertainty. This paper presents a novel fuzzy expert system for diabetes decision support application. A five-layer fuzzy ontology, including a fuzzy knowledge layer, fuzzy group relation layer, fuzzy group domain layer, fuzzy personal relation layer, and fuzzy personal domain layer, is developed in the fuzzy expert system to describe knowledge with uncertainty. By applying the novel fuzzy ontology to the diabetes domain, the structure of the fuzzy diabetes ontology (FDO) is defined to model the diabetes knowledge. Additionally, a semantic decision support agent (SDSA), including a knowledge construction mechanism, fuzzy ontology generating mechanism, and semantic fuzzy decision making mechanism, is also developed. The knowledge construction mechanism constructs the fuzzy concepts and relations based on the structure of the FDO. The instances of the FDO are generated by the fuzzy ontology generating mechanism. Finally, based on the FDO and the fuzzy ontology, the semantic fuzzy decision making mechanism simulates the semantic description of medical staff for diabetes-related application. Importantly, the proposed fuzzy expert system can work effectively for diabetes decision support application.

  14. DECISION SUPPORT SYSTEMS IN MILITARY ACTIONS: NECESSITY, POSSIBILITIES AND CONSTRAINTS

    Directory of Open Access Journals (Sweden)

    Elena ŞUŞNEA

    2012-01-01

    Full Text Available Nowadays, modern organizations cannot resort to the decision-making process without relying on information and communication technology if they want to be successful. Thus, besides information as an important input of this process, the tools and techniques used by decision-makers are equally important in the support and validation of their decisions. All this is also valid for the military organizations and their specific tasks and activities. A fortiori military commanders face some of the most diff cult and high-stake decision issues meaningful not only at the level of the military, but also for the humankind. Under these circumstances and as a result of an increase in the diversity and complexity of conflict situations, in the information and technology means employed by opponents in warfare and in the amount of information needed to be processed in real time, decision support systems become a necessity. Starting from the aforementioned inevitable requirement, the aim of this article is to emphasize the possibilities and constraints in developing an intelligent decision support system that assists commanders in making scientific decisions on time, under the right circumstances, for the right costs.

  15. Evolution of Decision Support Systems Research Field in Numbers

    Directory of Open Access Journals (Sweden)

    Ana-Maria SUDUC

    2010-01-01

    Full Text Available The scientific production in a certain field shows, in great extent, the research interests in that field. Decision Support Systems are a particular class of information systems which are gaining more popularity in various domains. In order to identify the evolution in time of the publications number, authors, subjects, publications in the Decision Support Systems (DSS field, and therefore the scientific world interest for this field, in November 2010 there have been organized a series of queries on three major international scientific databases: ScienceDirect, IEEE Xplore Digital Library and ACM Digital Library. The results presented in this paper shows that, even the decision support systems research field started in 1960s, the interests for this type of systems grew exponentially with each year in the last decades.

  16. Decision-Making Amplification under Uncertainty: An Exploratory Study of Behavioral Similarity and Intelligent Decision Support Systems

    Science.gov (United States)

    Campbell, Merle Wayne

    2013-01-01

    Intelligent decision systems have the potential to support and greatly amplify human decision-making across a number of industries and domains. However, despite the rapid improvement in the underlying capabilities of these "intelligent" systems, increasing their acceptance as decision aids in industry has remained a formidable challenge.…

  17. Intelligent System in Some Decision Classes' Environment

    Directory of Open Access Journals (Sweden)

    Mariusz Swiecicki

    1999-01-01

    Full Text Available One of the trends in the information theory of recent years is a dynamic development of decentralized, intelligent information systems. The systems in question are so complex that the classical methods of describing their dynamics, prove to be insufficient. One of the possible ways of describing them is by applying, the model of an agent which constitutes an independent entity existing in its own right. The agent has its own inventory of objectives and the ability to interact with the environment and adapt to the changes which take place in this environment. The paper presents the conception of autonomous agent as a cybcrnetic model of an autonomous system. lt is based on psychological and biological phenomena which may be observed in living organisms. The description of the system distinguishes between three basic functional blocks: correlator, homeostasis and accumulator; it contains a detailed account of the functions and mutual correlations and interactions. Subsequently, the paper presents a classification of interactions between correlator and homeostatis, as well as between homeostasis and accumulator. An analysis of the autonomous system from the point of view of the psychological and biological phenomena which take place in it, has allowed one to borrow certain educational methods from beha vioural psychology (clusical conditioning, instrumental conditioning and apply them to the teaching ofthese type of systems. The paper presents the implementation of these type of systems in artificial neuron networks. Subsequently, the authors show how in practical terms these type of systems may be taught by means of the above mentioned methods. Lastly, the paper presents the application of the above systems to the leaming process together with the discussion ofthe accompanying phenomena.

  18. Prolog: A Practical Language for Decision Support Systems in Nursing?

    Science.gov (United States)

    Ozbolt, Judy G.

    1987-01-01

    Developing decision support systems for nursing has been limited by difficulties in defining and representing nursing's knowledge base and by a lack of knowledge of how nurses make decisions. Recent theoretical and empirical work offers solutions to those problems. The challenge now is to represent nursing knowledge in a way that is comprehensible to both nurse and computer and to design decision support modalities that are accurate, efficient, and appropriate for nurses with different levels of expertise. This paper reviews the issues and critically evaluates Prolog as a tool for meeting the challenge.

  19. Unmanned aircraft systems for transportation decision support.

    Science.gov (United States)

    2016-11-30

    Our nation relies on accurate geospatial information to map, measure, and monitor transportation infrastructure and the surrounding landscapes. This project focused on the application of Unmanned Aircraft systems (UAS) as a novel tool for improving e...

  20. Marketing Decision Making and Decision Support: Challenges and Perspectives for Successful Marketing Management Support Systems

    NARCIS (Netherlands)

    G.H. van Bruggen (Gerrit); B. Wierenga (Berend)

    2009-01-01

    textabstractMarketing management support systems (MMSS) are computer-enabled devices that help marketers to make better decisions. Marketing processes can be quite complex, involving large numbers of variables and mostly outcomes are the results of the actions of many different stakeholders (e.g.,

  1. Medical decision support systems and therapeutics: The role of autopilots.

    Science.gov (United States)

    Woosley, R L; Whyte, J; Mohamadi, A; Romero, K

    2016-02-01

    For decades, medical practice has increasingly relied on prescription medicines to treat, cure, or prevent illness but their net benefit is reduced by prescribing errors that result in adverse drug reactions (ADRs) and tens of thousands of deaths each year. Optimal prescribing requires effective management of massive amounts of data. Clinical decision support systems (CDSS) can help manage information and support optimal therapeutic decisions before errors are made by operating as the prescribers' "autopilot." © 2015 ASCPT.

  2. Decision Support System for Fighter Pilots

    DEFF Research Database (Denmark)

    Randleff, Lars Rosenberg

    2007-01-01

    During a mission over enemy territory a fighter aircraft may be engaged by ground based threats. The pilot can use different measures to avoid the aircraft from being detected by e.g. enemy radar systems. If the enemy detects the aircraft a missile may be fired to seek and destroy the aircraft....... Such a missile will almost always be either radar guided or heat seeking. It will be launched from a permanent launch pad, or it will be man portable and small enough to fit in the boot of a car. The probability of a missile being detected by onboard sensors depends on the type of missile. If a missile...... altitude and airspeed, and the availability of countermeasures. Radar systems, guidance of missiles, and electronic countermeasures are all parts of the electronic warfare domain. A brief description of this domain is given. It contains an introduction to both systems working on-board the aircraft...

  3. Shaping the Future Landscape: Catchment Systems Engineering and the Decision Support Matrix Approach

    Science.gov (United States)

    Hewett, Caspar; Quinn, Paul; Wilkinson, Mark; Wainwright, John

    2017-04-01

    (DSM) approach is introduced as a way to engage stakeholders at all scales, helping to inform decision making and motivate intervention. Two existing visualization and communication tools produced using the DSM approach are discussed: The FARM (Floods and Agriculture Risk Matrix) and CAVERTI (Communication And Visualizing Erosion-associated Risks to Infrastructure). Such tools can play a central role in encouraging a more holistic engineering approach to managing catchment system function that combines food production with a reversal of land degradation, providing a 'win-win' situation for all.

  4. Knowledge-based decision support systems: social significance

    Energy Technology Data Exchange (ETDEWEB)

    Bendifallah, S.

    1982-01-01

    Methodologies applied in the utilization of computer systems for decision support reflect the twin facets of automation: the use of computers as knowledge technologies which facilitate or even take over human labor, and the often Tayloristic situations within which they are used. The paper is concerned with non-Tayloristic, convivial and congenial methodologies for the acquisition, accumulation and utilization of knowledge. It emphasizes the contribution of artificial intelligence research in knowledge engineering as exemplified by knowledge-based (expert) systems, distributed problem solving architectures, and goal-directed decision structuring systems. 20 references.

  5. Revisiting the dose calculation methodologies in European decision support systems

    DEFF Research Database (Denmark)

    Andersson, Kasper Grann; Roos, Per; Hou, Xiaolin

    2012-01-01

    The paper presents examples of current needs for improvement and extended applicability of the European decision support systems. The systems were originally created for prediction of the radiological consequences of accidents at nuclear installations. They could however also be of great value...... in connection with management of the consequences of other types of contaminating incidents, including ‘dirty bomb’ explosions. This would require a number of new modelling features and parametric changes. Also for nuclear power plant preparedness a number of revisions of the decision support systems are called...

  6. Multicriteria Decisions in Urban Energy System Planning: A Review

    Directory of Open Access Journals (Sweden)

    Sébastien Cajot

    2017-05-01

    Full Text Available Urban energy system planning (UESP is a topic of growing concern for cities in deregulated energy markets, which plan to decrease energy demand, reduce their dependency on fossil fuels, and increase the share of renewable energy sources. UESP being a highly multisectoral and multi-actor task, multicriteria decision analysis (MCDA methods are frequently used in the decision processes. These methods may provide support in organizing and identifying solutions to problems with conflicting objectives. However, knowing which method to use is generally not straightforward, as the appropriateness of a method or combination of methods depends on the decision problem’s context. Therefore, this article reviewed scientific papers to characterize and analyze MCDA problems and methods in the context of UESP. The review systematically explores issues such as the scope of the problems, the alternatives and criteria considered, the expected decision outcomes, the decision analysis methods and the rationales for selecting and combining them, and the role of values in driving the decision problems. The final outcome is a synthesis of the data and insights obtained, which may help potential users identify appropriate decision analysis methods based on given problem characteristics.

  7. Ethanol or Biodiesel? A Systems-Analysis Decision

    Science.gov (United States)

    Dinan, Frank; Stabler, Tom

    2008-01-01

    This case study stresses the need to broadly consider an entire system, including all of the energy inputs and outputs involved, to determine the real efficiency of that system. It also asks its student audience to consider the role that scientific input plays in policy decision-making processes. It emphasizes that, despite the importance of this…

  8. A strategic decision support system for logistics and supply chain ...

    Indian Academy of Sciences (India)

    T Biswas

    Abstract. This paper aims to develop a strategic decision support system for logistics and supply chain network design of a multi-stage, multi-commodity, and multi-period distribution and transportation system. A mixed integer linear programming model is proposed to tackle the problem while minimizing the operating,.

  9. Improving Information Products for System 2 Decision Support

    Science.gov (United States)

    Gibson, Neal

    2010-01-01

    The creation, maintenance, and management of Information Product (IP) systems that are used by organizations for complex decisions represent a unique set of challenges. These challenges are compounded when the purpose of such a systems is also for knowledge creation and dissemination. Information quality research to date has focused mainly upon…

  10. Decision support for sensible dosing in electronic prescribing systems.

    Science.gov (United States)

    Coleman, J J; Nwulu, U; Ferner, R E

    2012-08-01

    The sensible dosing of medicines can ensure that patients receive neither excessive doses leading to toxicity nor inappropriately low doses leading to undertreatment. Computerized prescribing systems with embedded decision support can check doses during prescription order entry and display alerts when the prescribed doses are out of range. We have been unable to identify any scheme for the systematic addition of dosing information to CPOE systems. We used pharmacological data to design an algorithm for dose range checking that we tested on a subset of medicines in an electronic prescribing system to ensure that the rules could be implemented in practice. We drafted an initial algorithm based on pharmacological principles, tested it on a subset of frequently prescribed drugs in an electronic prescribing system and then refined it. We considered which clinical decision support functions systems would require to be maximally effective. The final algorithm contained eleven broad factors. We tested it on 30 drug-route-form combinations, and it accommodated the information for all of these combinations. We also identified a variety of system functions that would be required for comprehensive dosing decision support. The dose range checking algorithm that we have derived from first principles will allow the clinical workflow and warnings to be constructed more effectively within systems to enhance patient safety. This will form a basis for the development of optimal schemes for adding decision support to prescribing systems. © 2011 Blackwell Publishing Ltd.

  11. Burn Resuscitation Decision Support System (BRDSS)

    Science.gov (United States)

    2013-09-01

    such as data error checking, and begin software unit verification, system level software and hardware verification, and thorough use testing. The...su.ch as data input validation, user wamings, alerts and messages, oscr interface rcquircme~ts, funmiooal requtremcnts and error handling...Part 807); labeling (21 CfR Part 801); medical device reporting (reponing of medico ! 12 Page 2 - Mr. Cl•ris Meador device-re lated odverse events

  12. AN INVESTIGATION ABOUT INFORMATION SYSTEMS OUTSOURCING AND OUTSOURCING DECISION

    OpenAIRE

    YARLIKAS, Serdar

    2010-01-01

    Organizations use outsourcing in information systems to provide many advantages. All risks and benefits of outsourcing are taken into consideration before an outsourcing decision. In this study, 14 organizations that belong to four different categories are investigated in terms of information systems outsourcing. These categories are: System integrators, outsourcing customers, and outsourcing vendors, firms that both procure and supply information systems services. The investigation is realiz...

  13. SPAN: a decision support system for security plan analysis.

    OpenAIRE

    Ramsey, Stephen H.

    1991-01-01

    Approved for public release; distribution is unlimited Computer-based information systems provide countless opportunities to improve an organization's functioning and enhance its products or services. They also expose organizations to significant risks as they become increasingly dependent on information resources. To minimize the risks to an organization's information systems, an Information System (IS) security plan must be formulated. A Decision Support System (DSS) can p...

  14. Decision Support Systems: Usage And Applications In Logistics Services

    Directory of Open Access Journals (Sweden)

    Eyüp AKÇETİN

    2014-06-01

    Full Text Available Competitive advantage in logistics operations is possible by analyzing data to create information and turning that information into decision. Supply chain optimization depends on effective management of chain knowledge. Analyzing data from supply chain and making a decision creates complex operations. Therefore, these operations require benefitting from information technology. In today’s global world, businesses use outsourcing for logistics services to focus on their own field, so are seeking to achieve competitive advantage against competitors. Outsourcing requires sharing of various information and data with companies that provide logistical support. Effective strategies are based on well-analyzed the data and information. Best options for right decisions can be created only from good analysis. That’s why companies that supply logistics services achieve competitive advantage using decision support systems (DSS in industrial competition. In short, DSS has become driving force for every business in today’s knowledge-based economy.

  15. Introduction to the history and current status of evidence-based korean medicine: a unique integrated system of allopathic and holistic medicine.

    Science.gov (United States)

    Yin, Chang Shik; Ko, Seong-Gyu

    2014-01-01

    Objectives. Korean medicine, an integrated allopathic and traditional medicine, has developed unique characteristics and has been active in contributing to evidence-based medicine. Recent developments in Korean medicine have not been as well disseminated as traditional Chinese medicine. This introduction to recent developments in Korean medicine will draw attention to, and facilitate, the advancement of evidence-based complementary alternative medicine (CAM). Methods and Results. The history of and recent developments in Korean medicine as evidence-based medicine are explored through discussions on the development of a national standard classification of diseases and study reports, ranging from basic research to newly developed clinical therapies. A national standard classification of diseases has been developed and revised serially into an integrated classification of Western allopathic and traditional holistic medicine disease entities. Standard disease classifications offer a starting point for the reliable gathering of evidence and provide a representative example of the unique status of evidence-based Korean medicine as an integration of Western allopathic medicine and traditional holistic medicine. Conclusions. Recent developments in evidence-based Korean medicine show a unique development in evidence-based medicine, adopting both Western allopathic and holistic traditional medicine. It is expected that Korean medicine will continue to be an important contributor to evidence-based medicine, encompassing conventional and complementary approaches.

  16. Holistic evaluations of learning materials

    DEFF Research Database (Denmark)

    Bundsgaard, Jeppe; Hansen, Thomas Illum

    2011-01-01

    , and the competences supposedly supported when working with the material - the actualized learning potential, i.e. the potential for learning when the design for learning is enacted by integrating the learning material in a situation in a given context, and - the actual learning, i.e. how the participants actually...... develop their competences through working with a learning material or enacting a design for learning.......The aim of this paper is to present a holistic framework for evaluating learning materials and designs for learning. A holistic evaluation of learning material comprises investigations of - the potential learning potential, i.e. the affordances and challenges of the learning material...

  17. Clinical Holistic Medicine: Holistic Treatment of Mental Disorders

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2005-01-01

    Full Text Available We believe that holistic medicine can be used for patient's with mental health disorders. With holistic psychiatry, it is possible to help the mentally ill patient to heal existentially. As in holistic medicine, the methods are love or intense care, winning the trust of the patient, getting permission to give support and holding, and daring to be fully at the patient's service. Our clinical experiences have led us to believe that mental health patient's can heal if only you can make him or her feel the existential pain at its full depth, understand what the message of the suffering is, and let go of all the negative attitudes and beliefs connected with the disease. Many mentally ill young people would benefit from a few hours of existential holistic processing in order to confront the core existential pains. To help the mentally ill patient, you must understand the level of responsibility and help process the old traumas that made the patient escape responsibility for his or her own life and destiny. To guide the work, we have developed a responsibility scale going from (1 free perception over (2 emotional pain to (3 psychic death (denial of life purpose further down to (4 escape and (5 denial to (6 destruction of own perception and (7 hallucination further down to (8 coma, suicide, and unconsciousness. This scale seems to be a valuable tool to understand the state of consciousness and the nature of the process of healing that the patient must go through.

  18. Towards a Reliable Framework of Uncertainty-Based Group Decision Support System

    OpenAIRE

    Chai, Junyi; Liu, James N. K.

    2011-01-01

    This study proposes a framework of Uncertainty-based Group Decision Support System (UGDSS). It provides a platform for multiple criteria decision analysis in six aspects including (1) decision environment, (2) decision problem, (3) decision group, (4) decision conflict, (5) decision schemes and (6) group negotiation. Based on multiple artificial intelligent technologies, this framework provides reliable support for the comprehensive manipulation of applications and advanced decision approache...

  19. Novel Applications of Intuitionistic Fuzzy Digraphs in Decision Support Systems

    Science.gov (United States)

    Sarwar, Mansoor

    2014-01-01

    Many problems of practical interest can be modeled and solved by using graph algorithms. In general, graph theory has a wide range of applications in diverse fields. In this paper, the intuitionistic fuzzy organizational and neural network models, intuitionistic fuzzy neurons in medical diagnosis, intuitionistic fuzzy digraphs in vulnerability assessment of gas pipeline networks, and intuitionistic fuzzy digraphs in travel time are presented as examples of intuitionistic fuzzy digraphs in decision support system. We have also designed and implemented the algorithms for these decision support systems. PMID:25045752

  20. Decision Making and Strategic Planning for Disaster Preparedness with a Multi-Criteria-Analysis Decision Support System

    OpenAIRE

    Schlobinski, Sascha; Zuccaro, Giulio; Scholl, Martin; Meiers, Daniel; Denzer, Ralf; Guarino, Sergio; Engelbach, Wolf; Taveter, Kuldar; Frysinger, Steven

    2015-01-01

    Part 3: Decision Support Tools and Systems; International audience; In the context of the CRISMA FP7 project we have developed a seamless decision support concept to connect simulated crisis scenarios and aggregated performance indicators of impact scenarios with state of the art Multi-Criteria Decision Analysis (MCDA) methods. To prove the practicality of the approach we have developed a decision support tool realising the important aspects of the method. The tool is a highly interactive and...

  1. Tuning Expert Systems for Cost-Sensitive Decisions

    Directory of Open Access Journals (Sweden)

    Atish P. Sinha

    2011-01-01

    Full Text Available There is currently a growing body of research examining the effects of the fusion of domain knowledge and data mining. This paper examines the impact of such fusion in a novel way by applying validation techniques and training data to enhance the performance of knowledge-based expert systems. We present an algorithm for tuning an expert system to minimize the expected misclassification cost. The algorithm employs data reserved for training data mining models to determine the decision cutoff of the expert system, in terms of the certainty factor of a prediction, for optimal performance. We evaluate the proposed algorithm and find that tuning the expert system results in significantly lower costs. Our approach could be extended to enhance the performance of any intelligent or knowledge system that makes cost-sensitive business decisions.

  2. Computational intelligence for decision support in cyber-physical systems

    CERN Document Server

    Ali, A; Riaz, Zahid

    2014-01-01

    This book is dedicated to applied computational intelligence and soft computing techniques with special reference to decision support in Cyber Physical Systems (CPS), where the physical as well as the communication segment of the networked entities interact with each other. The joint dynamics of such systems result in a complex combination of computers, software, networks and physical processes all combined to establish a process flow at system level. This volume provides the audience with an in-depth vision about how to ensure dependability, safety, security and efficiency in real time by making use of computational intelligence in various CPS applications ranging from the nano-world to large scale wide area systems of systems. Key application areas include healthcare, transportation, energy, process control and robotics where intelligent decision support has key significance in establishing dynamic, ever-changing and high confidence future technologies. A recommended text for graduate students and researche...

  3. Computerised decision support systems for healthcare professionals: an interpretative review

    Directory of Open Access Journals (Sweden)

    Kathrin Cresswell

    2013-03-01

    Full Text Available Purpose Computerised decision support systems are designed to support clinicians in making decisions and thereby enhance the quality and safety of care. We aimed to undertake an interpretative review of the empirical evidence on computerised decision support systems, their contexts of use, and summarise evidence on the effectiveness of these tools and insights into how these can be successfully implemented and adopted.Methods We systematically searched the empirical literature to identify systematic literature reviews on computerised decision support applications and their impact on the quality and safety of healthcare delivery over a 13-year period (1997–2010. The databases searched included: MEDLINE, EMBASE, The Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, The Cochrane Central Register of Controlled Trials, The Cochrane Methodology Register, The Health Technology Assessment Database, and The National Health Service (NHS Economic Evaluation Database. To be eligible for inclusion, systematic reviews needed to address computerised decision support systems, and at least one of the following: impact on safety; quality; or organisational, implementation or adoption considerations.Results Our searches yielded 121 systematic reviews relating to eHealth, of which we identified 41 as investigating computerised decision support systems. These indicated that, whilst there was a lack of investigating potential risks, such tools can result in improvements in practitioner performance in the promotion of preventive care and guideline adherence, particularly if specific information is available in real time and systems are effectively integrated into clinical workflows. However, the evidence regarding impact on patient outcomes was less clear-cut with reviews finding either no, inconsistent or modest benefits.Conclusions Whilst the potential of clinical decision support systems in improving, in particular

  4. Decision support systems for ecosystem management: An evaluation of existing systems

    Science.gov (United States)

    H. Todd Mowrer; Klaus Barber; Joe Campbell; Nick Crookston; Cathy Dahms; John Day; Jim Laacke; Jim Merzenich; Steve Mighton; Mike Rauscher; Rick Sojda; Joyce Thompson; Peter Trenchi; Mark Twery

    1997-01-01

    This report evaluated 24 computer-aided decision support systems (DSS) that can support management decision-making in forest ecosystems. It compares the scope of each system, spatial capabilities, computational methods, development status, input and output requirements, user support availability, and system performance. Questionnaire responses from the DSS developers (...

  5. A Decision Support System for Ship Maintenance Capacity Planning

    NARCIS (Netherlands)

    de Boer, R.; Schutten, Johannes M.J.; Zijm, Willem H.M.

    1997-01-01

    In this paper, the basic framework and algorithms of a decision support system are discussed, which enhance process and capacity planning at a large repair shop. The research is strongly motivated by experiences in a project carried out at a dockyard, which performs repair, overhaul and modification

  6. Water supply system decision making using multicriteria analysis ...

    African Journals Online (AJOL)

    Sound decision-making processes for investments in water supply systems need to be developed. This need arises from the problem observed in developing countries of a growing demand for water supply projects coupled with a lack of financial resources available to invest in them. A second problem is the selection of a ...

  7. A Decision Support System for Solving Multiple Criteria Optimization Problems

    Science.gov (United States)

    Filatovas, Ernestas; Kurasova, Olga

    2011-01-01

    In this paper, multiple criteria optimization has been investigated. A new decision support system (DSS) has been developed for interactive solving of multiple criteria optimization problems (MOPs). The weighted-sum (WS) approach is implemented to solve the MOPs. The MOPs are solved by selecting different weight coefficient values for the criteria…

  8. Decentralised water systems: emotional influences on resource decision making.

    Science.gov (United States)

    Mankad, Aditi

    2012-09-01

    The study of emotion has gathered momentum in the field of environmental science, specifically in the context of community resource decision-making. Of particular interest in this review is the potential influence of emotion, risk and threat perception on individuals' decisions to acceptance and adopt decentralised water systems, such as rainwater tanks and greywater systems. The role of message framing is also considered in detail, as well as the influences that different types of framing can have on decision making. These factors are considered as possible predictors for analysing community acceptance of decentralised water in urban environments. Concepts believed to be influenced by emotion, such as trust and framing, are also discussed as potentially meaningful contributors to an overall model of community acceptance of decentralised water. Recommendations are made for how emotion-based concepts, such as risk and threat, can be targeted to facilitate widespread adoption of decentralised systems and how researchers can explore different types of emotions that influence decision making in distinct ways. This review is an important theoretical step in advancing the psycho-social understanding of acceptance and adoption of on-site water sources. Avenues for future research are recommended, including the need for greater theoretical development to encourage future social science research on decentralised systems. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

  9. Applications of Bayesian decision theory to intelligent tutoring systems

    NARCIS (Netherlands)

    Vos, Hendrik J.

    1995-01-01

    The purpose of this paper is to consider some applications of Bayesian decision theory to intelligent tutoring systems. In particular, it will be indicated how the problem of adapting the appropriate amount of instruction to the changing nature of student's capabilities during the learning process

  10. Triggers for the critical engagement with decision support systems

    NARCIS (Netherlands)

    Hartmann, Timo; Javernick-Will, A.; Chinowsky, P.

    2012-01-01

    In previous work, we showed that the critical engagement with a decision sup- port system during its implementation by a project team is an important an- tecedent for the successful later use of the technology. However, the mechanisms that trigger such critical engagement are so far not well

  11. Decision algorithm for the stability of planar switching linear systems

    NARCIS (Netherlands)

    Daws, C.F.; Langerak, Romanus; Polderman, Jan W.

    This paper presents a decision algorithm for the analysis of the stability of a class of planar switched linear systems, modeled by hybrid automata. The dynamics in each location of the hybrid automaton is assumed to be linear and asymptotically stable; the guards on the transitions are hyper planes

  12. Flexible Early Warning Systems with Workflows and Decision Tables

    Science.gov (United States)

    Riedel, F.; Chaves, F.; Zeiner, H.

    2012-04-01

    An essential part of early warning systems and systems for crisis management are decision support systems that facilitate communication and collaboration. Often official policies specify how different organizations collaborate and what information is communicated to whom. For early warning systems it is crucial that information is exchanged dynamically in a timely manner and all participants get exactly the information they need to fulfil their role in the crisis management process. Information technology obviously lends itself to automate parts of the process. We have experienced however that in current operational systems the information logistics processes are hard-coded, even though they are subject to change. In addition, systems are tailored to the policies and requirements of a certain organization and changes can require major software refactoring. We seek to develop a system that can be deployed and adapted to multiple organizations with different dynamic runtime policies. A major requirement for such a system is that changes can be applied locally without affecting larger parts of the system. In addition to the flexibility regarding changes in policies and processes, the system needs to be able to evolve; when new information sources become available, it should be possible to integrate and use these in the decision process. In general, this kind of flexibility comes with a significant increase in complexity. This implies that only IT professionals can maintain a system that can be reconfigured and adapted; end-users are unable to utilise the provided flexibility. In the business world similar problems arise and previous work suggested using business process management systems (BPMS) or workflow management systems (WfMS) to guide and automate early warning processes or crisis management plans. However, the usability and flexibility of current WfMS are limited, because current notations and user interfaces are still not suitable for end-users, and workflows

  13. Cultural Factors in Systems Design Decision Making and Action

    CERN Document Server

    Proctor, Robert W; Yih, Yuehwern

    2011-01-01

    This book brings together an interdisciplinary group of experts to provide increased understanding of the ways in which cultural differences may influence decision making and action. It brings together current knowledge about decision processes, culture and cognition, design of products and interfaces for human interaction with machines and organizational processes culled from a wide variety of sources and puts them into one comprehensive resource. It examines how to design systems used by individuals from different cultures and accommodate the varied backgrounds that affect the users' decisio

  14. A Decision Support System for the Environment: Application to Morocco

    OpenAIRE

    , A Mourhir; , T Rachidi; , M Karim

    2013-01-01

    The present work describes the design, implementation, deployment, and results of a Decision Support System for the Environment named D2S4E, as a major response to the increasingly complex, and equally important management and assessment of the environment. D2S4E aims to assist national decision making spheres in both environmental and sustainable development matters by answering questions like: (1) what is the current state of the environment? (2) What would be the impact of a large scale in...

  15. Disaster Management with a Next Generation Disaster Decision Support System

    Science.gov (United States)

    Chen, Y.

    2015-12-01

    As populations become increasingly concentrated in large cities, the world is experiencing an inevitably growing trend towards the urbanisation of disasters. Scientists have contributed significant advances in understanding the geophysical causes of natural hazards and have developed sophisticated tools to predict their effects; while, much less attention has been devoted to tools that increase situational awareness, facilitate leadership, provide effective communication channels and data flow and enhance the cognitive abilities of decision makers and first responders. In this paper, we envisioned the capabilities of a next generation disaster decision support system and hence proposed a state-of-the-art system architecture design to facilitate the decision making process in natural catastrophes such as flood and bushfire by utilising a combination of technologies for multi-channel data aggregation, disaster modelling, visualisation and optimisation. Moreover, we put our thoughts into action by implementing an Intelligent Disaster Decision Support System (IDDSS). The developed system can easily plug in to external disaster models and aggregate large amount of heterogeneous data from government agencies, sensor networks, and crowd sourcing platforms in real-time to enhance the situational awareness of decision makers and offer them a comprehensive understanding of disaster impacts from diverse perspectives such as environment, infrastructure and economy, etc. Sponsored by the Australian Government and the Victorian Department of Justice (Australia), the system was built upon a series of open-source frameworks (see attached figure) with four key components: data management layer, model application layer, processing service layer and presentation layer. It has the potential to be adopted by a range of agencies across Australian jurisdictions to assist stakeholders in accessing, sharing and utilising available information in their management of disaster events.

  16. Radiation methods in decision support system for food safety

    Directory of Open Access Journals (Sweden)

    Migdal Wojciech

    2014-12-01

    Full Text Available Mathematical model is the basis for computer decision support system (DSS connected with food security strategy, in which food irradiation is one of the methods used for elimination of substance with pathogens. Such system can support an organisation of many different activities in the area of food safety. It can be designed for a specific region, country, etc., and is addressed to State Sanitary Inspection offices. The paper demonstrates the capabilities of the system in modeling activities of sanitary inspection teams aimed at pathogen elimination with the use of electron beam irradiation in procedures of utilisation of animal originated food, related packaging, or other microbiologically contaminated materials. It describes new application of both computer supported decision systems and radiation processing. The elaborated mathematical models show human activities in the process of microbiological contamination elimination.

  17. Impacts of Hospitals' Innovativeness on Information System Outsourcing Decisions

    OpenAIRE

    Park, Jae Sung

    2014-01-01

    Objectives The purpose of this study was to identify the effects of hospitals' innovativeness on outsourcing decision-making regarding four information system (IS) functions, namely, software programs, network maintenance, hardware systems, and PC/printer maintenance. Methods Using the 2011 roster of the Korean Hospital Association, this study selected 311 general hospitals as a study population. After identifying the managers who were in charge of outsourcing, this study administered questio...

  18. Probabilistic Ontology Architecture for a Terrorist Identification Decision Support System

    Science.gov (United States)

    2014-06-01

    Handbook on Ontologies in Information Systems.: Springer-Verlag, 2003. [15] Paulo Cesar G. da Costa. (2005, July) PhD George Mason Univeristy. [Online...Probabilistic Ontology Architecture for a Terrorist Identification Decision Support System Topic 3: Data, Information,and Knowledge Topic 5: Modeling...number. 1. REPORT DATE JUN 2014 2. REPORT TYPE 3. DATES COVERED 00-00-2014 to 00-00-2014 4. TITLE AND SUBTITLE Probabilistic Ontology

  19. Neural-network-based fuzzy logic decision systems

    Science.gov (United States)

    Kulkarni, Arun D.; Giridhar, G. B.; Coca, Praveen

    1994-10-01

    During the last few years there has been a large and energetic upswing in research efforts aimed at synthesizing fuzzy logic with neural networks. This combination of neural networks and fuzzy logic seems natural because the two approaches generally attack the design of `intelligent' system from quite different angles. Neural networks provide algorithms for learning, classification, and optimization whereas fuzzy logic often deals with issues such as reasoning in a high (semantic or linguistic) level. Consequently the two technologies complement each other. In this paper, we combine neural networks with fuzzy logic techniques. We propose an artificial neural network (ANN) model for a fuzzy logic decision system. The model consists of six layers. The first three layers map the input variables to fuzzy set membership functions. The last three layers implement the decision rules. The model learns the decision rules using a supervised gradient descent procedure. As an illustration we considered two examples. The first example deals with pixel classification in multispectral satellite images. In our second example we used the fuzzy decision system to analyze data from magnetic resonance imaging (MRI) scans for tissue classification.

  20. Complex Strategic Choices Applying Systemic Planning for Strategic Decision Making

    CERN Document Server

    Leleur, Steen

    2012-01-01

    Effective decision making requires a clear methodology, particularly in a complex world of globalisation. Institutions and companies in all disciplines and sectors are faced with increasingly multi-faceted areas of uncertainty which cannot always be effectively handled by traditional strategies. Complex Strategic Choices provides clear principles and methods which can guide and support strategic decision making to face the many current challenges. By considering ways in which planning practices can be renewed and exploring the possibilities for acquiring awareness and tools to add value to strategic decision making, Complex Strategic Choices presents a methodology which is further illustrated by a number of case studies and example applications. Dr. Techn. Steen Leleur has adapted previously established research based on feedback and input from various conferences, journals and students resulting in new material stemming from and focusing on practical application of a systemic approach. The outcome is a coher...

  1. Online decision support system for surface irrigation management

    Science.gov (United States)

    Wang, Wenchao; Cui, Yuanlai

    2017-04-01

    Irrigation has played an important role in agricultural production. Irrigation decision support system is developed for irrigation water management, which can raise irrigation efficiency with few added engineering services. An online irrigation decision support system (OIDSS), in consist of in-field sensors and central computer system, is designed for surface irrigation management in large irrigation district. Many functions have acquired in OIDSS, such as data acquisition and detection, real-time irrigation forecast, water allocation decision and irrigation information management. The OIDSS contains four parts: Data acquisition terminals, Web server, Client browser and Communication system. Data acquisition terminals are designed to measure paddy water level, soil water content in dry land, ponds water level, underground water level, and canals water level. A web server is responsible for collecting meteorological data, weather forecast data, the real-time field data, and manager's feedback data. Water allocation decisions are made in the web server. Client browser is responsible for friendly displaying, interacting with managers, and collecting managers' irrigation intention. Communication system includes internet and the GPRS network used by monitoring stations. The OIDSS's model is based on water balance approach for both lowland paddy and upland crops. Considering basic database of different crops water demands in the whole growth stages and irrigation system engineering information, the OIDSS can make efficient decision of water allocation with the help of real-time field water detection and weather forecast. This system uses technical methods to reduce requirements of user's specialized knowledge and can also take user's managerial experience into account. As the system is developed by the Browser/Server model, it is possible to make full use of the internet resources, to facilitate users at any place where internet exists. The OIDSS has been applied in

  2. Fault-Tolerant Onboard Monitoring and Decision Support Systems

    DEFF Research Database (Denmark)

    Lajic, Zoran

    established. The basic idea is to convert the given system into a fault-tolerant system and to improve multi-sensor data fusion for the particular system. The background of the project is the SeaSense system, which has been installed on several container ships and navy vessels. The SeaSense system provides...... be improved using fault-tolerant techniques (Fault Diagnosis and System Re-design) and a Sensor Fusion Quality (SFQ) test. Fault diagnosis means to detect the presence of faults in the system. In case sea state estimation is conducted by a ship-wave buoy analogy the best solution is achieved when a set...... of a fault. A supervisory function determines the severity of the fault once its origin has been isolated and its magnitude estimated. Fault-tolerant Sensor Fusion means that the monitoring and decision support system can accommodate faults so that the overall system continues to satisfy its goal...

  3. A decision support system to determine optimal ventilator settings.

    Science.gov (United States)

    Akbulut, Fatma Patlar; Akkur, Erkan; Akan, Aydin; Yarman, B Siddik

    2014-01-10

    Choosing the correct ventilator settings for the treatment of patients with respiratory tract disease is quite an important issue. Since the task of specifying the parameters of ventilation equipment is entirely carried out by a physician, physician's knowledge and experience in the selection of these settings has a direct effect on the accuracy of his/her decisions. Nowadays, decision support systems have been used for these kinds of operations to eliminate errors. Our goal is to minimize errors in ventilation therapy and prevent deaths caused by incorrect configuration of ventilation devices. The proposed system is designed to assist less experienced physicians working in the facilities without having lung mechanics like cottage hospitals. This article describes a decision support system proposing the ventilator settings required to be applied in the treatment according to the patients' physiological information. The proposed model has been designed to minimize the possibility of making a mistake and to encourage more efficient use of time in support of the decision making process while the physicians make critical decisions about the patient. Artificial Neural Network (ANN) is implemented in order to calculate frequency, tidal volume, FiO2 outputs, and this classification model has been used for estimation of pressure support / volume support outputs. For the obtainment of the highest performance in both models, different configurations have been tried. Various tests have been realized for training methods, and a number of hidden layers mostly affect factors regarding the performance of ANNs. The physiological information of 158 respiratory patients over the age of 60 and were treated in three different hospitals between the years 2010 and 2012 has been used in the training and testing of the system. The diagnosed disease, core body temperature, pulse, arterial systolic pressure, diastolic blood pressure, PEEP, PSO2, pH, pCO2, bicarbonate data as well as the

  4. Advanced intelligent computational technologies and decision support systems

    CERN Document Server

    Kountchev, Roumen

    2014-01-01

    This book offers a state of the art collection covering themes related to Advanced Intelligent Computational Technologies and Decision Support Systems which can be applied to fields like healthcare assisting the humans in solving problems. The book brings forward a wealth of ideas, algorithms and case studies in themes like: intelligent predictive diagnosis; intelligent analyzing of medical images; new format for coding of single and sequences of medical images; Medical Decision Support Systems; diagnosis of Down’s syndrome; computational perspectives for electronic fetal monitoring; efficient compression of CT Images; adaptive interpolation and halftoning for medical images; applications of artificial neural networks for real-life problems solving; present and perspectives for Electronic Healthcare Record Systems; adaptive approaches for noise reduction in sequences of CT images etc.

  5. Data assimilation in the decision support system RODOS

    DEFF Research Database (Denmark)

    Rojas-Palma, C.; Madsen, H.; Gering, F.

    2003-01-01

    . The process of combining model predictions and observations, usually referred to as data assimilation, is described in this article within the framework of the real time on-line decision support system (RODOS) for off-site nuclear emergency management in Europe. Data assimilation capabilities, based on Kalman...... filters, are under development for several modules of the RODOS system, including the atmospheric dispersion, deposition, food chain and hydrological models. The use of such a generic data assimilation methodology enables the propagation of uncertainties throughout the various modules of the system....... This would in turn provide decision makers with uncertainty estimates taking into account both model and observation errors. This paper describes the methodology employed as well as results of some preliminary studies based on simulated data....

  6. Using Multimodal Input for Autonomous Decision Making for Unmanned Systems

    Science.gov (United States)

    Neilan, James H.; Cross, Charles; Rothhaar, Paul; Tran, Loc; Motter, Mark; Qualls, Garry; Trujillo, Anna; Allen, B. Danette

    2016-01-01

    Autonomous decision making in the presence of uncertainly is a deeply studied problem space particularly in the area of autonomous systems operations for land, air, sea, and space vehicles. Various techniques ranging from single algorithm solutions to complex ensemble classifier systems have been utilized in a research context in solving mission critical flight decisions. Realized systems on actual autonomous hardware, however, is a difficult systems integration problem, constituting a majority of applied robotics development timelines. The ability to reliably and repeatedly classify objects during a vehicles mission execution is vital for the vehicle to mitigate both static and dynamic environmental concerns such that the mission may be completed successfully and have the vehicle operate and return safely. In this paper, the Autonomy Incubator proposes and discusses an ensemble learning and recognition system planned for our autonomous framework, AEON, in selected domains, which fuse decision criteria, using prior experience on both the individual classifier layer and the ensemble layer to mitigate environmental uncertainty during operation.

  7. Clinical Holistic Health: Advanced Tools for Holistic Medicine

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2006-01-01

    Full Text Available According to holistic medical theory, the patient will heal when old painful moments, the traumatic events of life that are often called “gestalts”, are integrated in the present “now”. The advanced holistic physician’s expanded toolbox has many different tools to induce this healing, some that are more dangerous and potentially traumatic than others. The more intense the therapeutic technique, the more emotional energy will be released and contained in the session, but the higher also is the risk for the therapist to lose control of the session and lose the patient to his or her own dark side. To avoid harming the patient must be the highest priority in holistic existential therapy, making sufficient education and training an issue of highest importance. The concept of “stepping up” the therapy by using more and more “dramatic” methods to get access to repressed emotions and events has led us to a “therapeutic staircase” with ten steps: (1 establishing the relationship; (2 establishing intimacy, trust, and confidentiality; (3 giving support and holding; (4 taking the patient into the process of physical, emotional, and mental healing; (5 social healing of being in the family; (6 spiritual healing — returning to the abstract wholeness of the soul; (7 healing the informational layer of the body; (8 healing the three fundamental dimensions of existence: love, power, and sexuality in a direct way using, among other techniques, “controlled violence” and “acupressure through the vagina”; (9 mind-expanding and consciousness-transformative techniques like psychotropic drugs; and (10 techniques transgressing the patient's borders and, therefore, often traumatizing (for instance, the use of force against the will of the patient.We believe that the systematic use of the staircase will greatly improve the power and efficiency of holistic medicine for the patient and we invite a broad cooperation in scientifically testing the

  8. Our Selections and Decisions: Inherent Features of the Nervous System?

    Science.gov (United States)

    Rösler, Frank

    The chapter summarizes findings on the neuronal bases of decisionmaking. Taking the phenomenon of selection it will be explained that systems built only from excitatory and inhibitory neuron (populations) have the emergent property of selecting between different alternatives. These considerations suggest that there exists a hierarchical architecture with central selection switches. However, in such a system, functions of selection and decision-making are not localized, but rather emerge from an interaction of several participating networks. These are, on the one hand, networks that process specific input and output representations and, on the other hand, networks that regulate the relative activation/inhibition of the specific input and output networks. These ideas are supported by recent empirical evidence. Moreover, other studies show that rather complex psychological variables, like subjective probability estimates, expected gains and losses, prediction errors, etc., do have biological correlates, i.e., they can be localized in time and space as activation states of neural networks and single cells. These findings suggest that selections and decisions are consequences of an architecture which, seen from a biological perspective, is fully deterministic. However, a transposition of such nomothetic functional principles into the idiographic domain, i.e., using them as elements for comprehensive 'mechanistic' explanations of individual decisions, seems not to be possible because of principle limitations. Therefore, individual decisions will remain predictable by means of probabilistic models alone.

  9. Human-Computer Interaction with Medical Decisions Support Systems

    Science.gov (United States)

    Adolf, Jurine A.; Holden, Kritina L.

    1994-01-01

    Decision Support Systems (DSSs) have been available to medical diagnosticians for some time, yet their acceptance and use have not increased with advances in technology and availability of DSS tools. Medical DSSs will be necessary on future long duration space missions, because access to medical resources and personnel will be limited. Human-Computer Interaction (HCI) experts at NASA's Human Factors and Ergonomics Laboratory (HFEL) have been working toward understanding how humans use DSSs, with the goal of being able to identify and solve the problems associated with these systems. Work to date consists of identification of HCI research areas, development of a decision making model, and completion of two experiments dealing with 'anchoring'. Anchoring is a phenomenon in which the decision maker latches on to a starting point and does not make sufficient adjustments when new data are presented. HFEL personnel have replicated a well-known anchoring experiment and have investigated the effects of user level of knowledge. Future work includes further experimentation on level of knowledge, confidence in the source of information and sequential decision making.

  10. Decision support system for health care resources allocation.

    Science.gov (United States)

    Sebaa, Abderrazak; Nouicer, Amina; Tari, AbdelKamel; Tarik, Ramtani; Abdellah, Ouhab

    2017-06-01

    A study about healthcare resources can improve decisions regarding the allotment and mobilization of medical resources and to better guide future investment in the health sector. The aim of this work was to design and implement a decision support system to improve medical resources allocation of Bejaia region. To achieve the retrospective cohort study, we integrated existing clinical databases from different Bejaia department health sector institutions (an Algerian department) to collect information about patients from January 2015 through December 2015. Data integration was performed in a data warehouse using the multi-dimensional model and OLAP cube. During implementation, we used Microsoft SQL server 2012 and Microsoft Excel 2010. A medical decision support platform was introduced, and was implemented during the planning stages allowing the management of different medical orientations, it provides better apportionment and allotment of medical resources, and ensures that the allocation of health care resources has optimal effects on improving health. In this study, we designed and implemented a decision support system which would improve health care in Bejaia department to especially assist in the selection of the optimum location of health center and hospital, the specialty of the health center, the medical equipment and the medical staff.

  11. Validation of a decision support system for improving irrigation system performance

    Science.gov (United States)

    To address water shortage and improve water delivery operations, decision support systems have been developed and utilized throughout the United States and the world. One critical aspect that is often neglected during the development and implementation of decision support systems is validation, whi...

  12. Trial of an electronic decision support system to facilitate shared decision making in community mental health.

    Science.gov (United States)

    Woltmann, Emily M; Wilkniss, Sandra M; Teachout, Alexandra; McHugo, Gregory J; Drake, Robert E

    2011-01-01

    Involvement of community mental health consumers in mental health decision making has been consistently associated with improvements in health outcomes. Electronic decision support systems (EDSSs) that support both consumer and provider decision making may be a sustainable way to improve dyadic communication in a field with approximately 50% workforce turnover per year. This study examined the feasibility of such a system and investigated proximal outcomes of the system's performance. A cluster randomized design was used to evaluate an EDSS at three urban community mental health sites. Case managers (N=20) were randomly assigned to the EDSS-supported planning group or to the usual care planning group. Consumers (N=80) were assigned to the same group as their case managers. User satisfaction with the care planning process was assessed for consumers and case managers (possible scores range from 1 to 5, with higher summary scores indicating more satisfaction). Recall of the care plan was assessed for consumers. Linear regression with adjustment for grouping by worker was used to assess satisfaction scores. A Wilcoxon rank-sum test was used to examine knowledge of the care plan. Compared with case managers in the control group, those in the intervention group were significantly more satisfied with the care planning process (mean ± SD score=4.0 ± .5 versus 3.3 ± .5; adjusted p=.01). Compared with consumers in the control group, those in the intervention group had significantly greater recall of their care plans three days after the planning session (mean proportion of plan goals recalled=75% ± 28% versus 57% ± 32%; p=.02). There were no differences between the clients in the intervention and control groups regarding satisfaction. This study demonstrated that clients can build their own care plans and negotiate and revise them with their case managers using an EDSS.

  13. Decision Support System of Nursing Human Resources Allocation in General Wards Based on Hospital Information System.

    Science.gov (United States)

    Chen, Hong; Zhao, Shangping; Feng, Ling

    2016-01-01

    To construct a Decision support system of nursing human resources allocation in general wards based on Hospital information system (HIS). Time series prediction model and Information technical method were used based on data of HIS in West China Hospital, Sichuan University (Chengdu, P.R. China). This study completed the function design and system implementation of the nursing human resources allocation decision support system. The system would help nursing managers choose the optimal scheme and make scientific decisions in combination with "the actual" situation but more empirical studies are needed.

  14. Holistic word processing in dyslexia.

    Directory of Open Access Journals (Sweden)

    Aisling Conway

    Full Text Available People with dyslexia have difficulty learning to read and many lack fluent word recognition as adults. In a novel task that borrows elements of the 'word superiority' and 'word inversion' paradigms, we investigate whether holistic word recognition is impaired in dyslexia. In Experiment 1 students with dyslexia and controls judged the similarity of pairs of 6- and 7-letter words or pairs of words whose letters had been partially jumbled. The stimuli were presented in both upright and inverted form with orthographic regularity and orientation randomized from trial to trial. While both groups showed sensitivity to orthographic regularity, both word inversion and letter jumbling were more detrimental to skilled than dyslexic readers supporting the idea that the latter may read in a more analytic fashion. Experiment 2 employed the same task but using shorter, 4- and 5-letter words and a design where orthographic regularity and stimuli orientation was held constant within experimental blocks to encourage the use of either holistic or analytic processing. While there was no difference in reaction time between the dyslexic and control groups for inverted stimuli, the students with dyslexia were significantly slower than controls for upright stimuli. These findings suggest that holistic word recognition, which is largely based on the detection of orthographic regularity, is impaired in dyslexia.

  15. Intelligent decision support system for home energy retrofit adoption

    Directory of Open Access Journals (Sweden)

    D. Duah

    2016-12-01

    Full Text Available Despite the well-established benefits of home energy retrofits (HER, its adoption has faced huge challenges. Though homeowners typically depend on energy practitioners for HER advice, previous work by the researchers has identified the inadequateness of such information as a barrier. Using an earlier developed information model, an energy retrofit intelligent decision support system (ERIDSS, that integrates expert knowledge with quantitative information to provide homeowners with accurate information for decision-making, was developed. This paper identifies the key components of the proposed ERIDSS, develops rules for relevant energy retrofit expert knowledge to be employed in the knowledge-based system of the proposed ERIDSS, develops the ERIDSS for decision-making for home energy retrofits, and demonstrates the application of the ERIDSS using a pilot system on two test homes. The quantitative information was obtained from published sources and the U.S. Department of Energy’s cost database, and the expert knowledge was obtained through the application of the modified Delphi technique and job shadowing of energy auditors and retrofit contractors. The research contributes to improving the adoption of energy retrofits by homeowners, assisting industry practitioners with the corroboration of knowledge/information they provide to homeowners in order to reduce homeowner bias, providing a good understanding of available implicit domain knowledge through the development of six knowledge-based modules, and the development of a system and approach that may be replicated in other domains.

  16. Decision support system for the operating room rescheduling problem.

    Science.gov (United States)

    van Essen, J Theresia; Hurink, Johann L; Hartholt, Woutske; van den Akker, Bernd J

    2012-12-01

    Due to surgery duration variability and arrivals of emergency surgeries, the planned Operating Room (OR) schedule is disrupted throughout the day which may lead to a change in the start time of the elective surgeries. These changes may result in undesirable situations for patients, wards or other involved departments, and therefore, the OR schedule has to be adjusted. In this paper, we develop a decision support system (DSS) which assists the OR manager in this decision by providing the three best adjusted OR schedules. The system considers the preferences of all involved stakeholders and only evaluates the OR schedules that satisfy the imposed resource constraints. The decision rules used for this system are based on a thorough analysis of the OR rescheduling problem. We model this problem as an Integer Linear Program (ILP) which objective is to minimize the deviation from the preferences of the considered stakeholders. By applying this ILP to instances from practice, we determined that the given preferences mainly lead to (i) shifting a surgery and (ii) scheduling a break between two surgeries. By using these changes in the DSS, the performed simulation study shows that less surgeries are canceled and patients and wards are more satisfied, but also that the perceived workload of several departments increases to compensate this. The system can also be used to judge the acceptability of a proposed initial OR schedule.

  17. A System Dynamics Model for Integrated Decision Making ...

    Science.gov (United States)

    EPA’s Sustainable and Healthy Communities Research Program (SHC) is conducting transdisciplinary research to inform and empower decision-makers. EPA tools and approaches are being developed to enable communities to effectively weigh and integrate human health, socioeconomic, environmental, and ecological factors into their decisions to promote community sustainability. To help achieve this goal, EPA researchers have developed systems approaches to account for the linkages among resources, assets, and outcomes managed by a community. System dynamics (SD) is a member of the family of systems approaches and provides a framework for dynamic modeling that can assist with assessing and understanding complex issues across multiple dimensions. To test the utility of such tools when applied to a real-world situation, the EPA has developed a prototype SD model for community sustainability using the proposed Durham-Orange Light Rail Project (D-O LRP) as a case study.The EPA D-O LRP SD modeling team chose the proposed D-O LRP to demonstrate that an integrated modeling approach could represent the multitude of related cross-sectoral decisions that would be made and the cascading impacts that could result from a light rail transit system connecting Durham and Chapel Hill, NC. In keeping with the SHC vision described above, the proposal for the light rail is a starting point solution for the more intractable problems of population growth, unsustainable land use, environmenta

  18. Pavement Evaluation and Maintenance Decisions Based on Fuzzy Inference Systems

    Directory of Open Access Journals (Sweden)

    Beltrán-Calvo Gloria Inés

    2014-07-01

    Full Text Available The remaining service life and maintenance decisions of existing pavements are highly dependent on stiffness and deterioration conditions throughout their operation. A non-conventional fuzzy logic based methodology is proposed in this work to address the stiffness-deterioration condition and conservation decisions, by means of three Fuzzy Inference Systems. Analysis were conducted using a database gathered from field tests performed on three and four layer pavement systems, that included traditional layer structuring and pavements having a subbase stiffer than their granular base. Information about layer thicknesses, magnitude and severity of structural distresses, and parameters and indicators derived from deflection testing by impulse load devices were used. The developed systems, allowed representing expert knowledge and linguistic variables of subjective and qualitative nature, commonly used to describe the severity levels of deterioration; thus they can be involved into structural characterization of pavements. Results were also expressed linguistically, to facilitate their interpretation and understanding. Based on the high quality of results obtained, it seems reasonable to conclude that the proposed systems could be used confidently for assessing and making decisions about pavement conservation, with low computational cost.

  19. Decision support systems for flood scenario elicitation and hazard mapping

    Science.gov (United States)

    Pistocchi, Alberto

    2013-04-01

    Improved management of flood hazards in mountain catchments entails the investigation of large woody debris transport, their impact in terms of bridge clogging, and the combined effect of these phenomena with high flows in mountain rivers. Moreover, the effects of woody debris may combine with those of possible levee failure in the valley bottoms. The contribution reviews the state of the art of models and methods for the characterization of both aspects, and illustrates a blueprint of a decision support system where information on woody debris recruitment, transport capacity of the stream network, cloggability of hydraulic structures and levees are combined with hydrological information to identify the most appropriate scenarios one should consider for precautionary and realistic flood hazard assessment. The decision support system is exemplified with reference to the case study of South Tyrol, Italy.

  20. Facts and fiction of learning systems. [decision making intelligent control

    Science.gov (United States)

    Saridis, G. N.

    1975-01-01

    The methodology that will provide the updated precision for the hardware control and the advanced decision making and planning in the software control is called learning systems and intelligent control. It was developed theoretically as an alternative for the nonsystematic heuristic approaches of artificial intelligence experiments and the inflexible formulation of modern optimal control methods. Its basic concepts are discussed and some feasibility studies of some practical applications are presented.

  1. AN INTELLIGENT HANDOVER DECISION SYSTEM FOR MULTINETWORK ENVIRONMENT

    OpenAIRE

    Sharma, Manoj; KHOLA, Ram Kishan

    2010-01-01

    In the present generation wireless networks, mobile users are moving across various access technologies, using multi-interface terminalsand different types of services. In such a heterogeneous environment the most important issue is Always Best Connected (ABC) concept[1]. It allows the best connectivity to services anywhere any time. For that, a seamless inter-system handover solution is needed. One ofthe challenging problems for the vertical handoff is the decision for a mobile node to hando...

  2. Behavior-aware decision support systems : LDRD final report.

    Energy Technology Data Exchange (ETDEWEB)

    Hirsch, Gary B.; Homer, Jack (Homer Consulting); Chenoweth, Brooke N.; Backus, George A.; Strip, David R.

    2007-11-01

    As Sandia National Laboratories serves its mission to provide support for the security-related interests of the United States, it is faced with considering the behavioral responses that drive problems, mitigate interventions, or lead to unintended consequences. The effort described here expands earlier works in using healthcare simulation to develop behavior-aware decision support systems. This report focuses on using qualitative choice techniques and enhancing two analysis models developed in a sister project.

  3. Personalization and Patient Involvement in Decision Support Systems: Current Trends

    Science.gov (United States)

    Sacchi, L.; Lanzola, G.; Viani, N.

    2015-01-01

    Summary Objectives This survey aims at highlighting the latest trends (2012-2014) on the development, use, and evaluation of Information and Communication Technologies (ICT) based decision support systems (DSSs) in medicine, with a particular focus on patient-centered and personalized care. Methods We considered papers published on scientific journals, by querying PubMed and Web of Science™. Included studies focused on the implementation or evaluation of ICT-based tools used in clinical practice. A separate search was performed on computerized physician order entry systems (CPOEs), since they are increasingly embedding patient-tailored decision support. Results We found 73 papers on DSSs (53 on specific ICT tools) and 72 papers on CPOEs. Although decision support through the delivery of recommendations is frequent (28/53 papers), our review highlighted also DSSs only based on efficient information presentation (25/53). Patient participation in making decisions is still limited (9/53), and mostly focused on risk communication. The most represented medical area is cancer (12%). Policy makers are beginning to be included among stakeholders (6/73), but integration with hospital information systems is still low. Concerning knowledge representation/management issues, we identified a trend towards building inference engines on top of standard data models. Most of the tools (57%) underwent a formal assessment study, even if half of them aimed at evaluating usability and not effectiveness. Conclusions Overall, we have noticed interesting evolutions of medical DSSs to improve communication with the patient, consider the economic and organizational impact, and use standard models for knowledge representation. However, systems focusing on patient-centered care still do not seem to be available at large. PMID:26293857

  4. Personalization and Patient Involvement in Decision Support Systems: Current Trends.

    Science.gov (United States)

    Quaglini, S; Sacchi, L; Lanzola, G; Viani, N

    2015-08-13

    This survey aims at highlighting the latest trends (2012-2014) on the development, use, and evaluation of Information and Communication Technologies (ICT) based decision support systems (DSSs) in medicine, with a particular focus on patient-centered and personalized care. We considered papers published on scientific journals, by querying PubMed and Web of ScienceTM. Included studies focused on the implementation or evaluation of ICT-based tools used in clinical practice. A separate search was performed on computerized physician order entry systems (CPOEs), since they are increasingly embedding patient-tailored decision support. We found 73 papers on DSSs (53 on specific ICT tools) and 72 papers on CPOEs. Although decision support through the delivery of recommendations is frequent (28/53 papers), our review highlighted also DSSs only based on efficient information presentation (25/53). Patient participation in making decisions is still limited (9/53), and mostly focused on risk communication. The most represented medical area is cancer (12%). Policy makers are beginning to be included among stakeholders (6/73), but integration with hospital information systems is still low. Concerning knowledge representation/management issues, we identified a trend towards building inference engines on top of standard data models. Most of the tools (57%) underwent a formal assessment study, even if half of them aimed at evaluating usability and not effectiveness. Overall, we have noticed interesting evolutions of medical DSSs to improve communication with the patient, consider the economic and organizational impact, and use standard models for knowledge representation. However, systems focusing on patient-centered care still do not seem to be available at large.

  5. Decision support system for containment and release management

    Energy Technology Data Exchange (ETDEWEB)

    Oosterhuis, B. [Twente Univ., Enschede (Netherlands). Computer Science Dept.

    1995-09-01

    The Containment and Release Management project was carried out within the Reinforced Concerted Action Programme for Accident Management Support and partly financed by the European Union. In this report a prototype of an accident management support system is presented. The support system integrates several concepts from accident management research, like safety objective trees, severe accident phenomena, calculation models and an emergency response data system. These concepts are provided by the prototype in such a way that the decision making process of accident management is supported. The prototype application is demonstrated by process data taken from a severe accident scenario for a pressurized water reactor (PWR) that was simulated with the thermohydraulic computer program MAAP. The prototype was derived from a decision support framework based on a decision theory. For established and innovative concepts from accident management research it is pointed out in which way these concepts can support accident management and how these concepts can be integrated. This approach is generic in two ways; it applies to both pressurized and boiling water reactors and it applies to both in vessel management and containment and release management. The prototype application was developed in Multimedia Toolbox 3.0 and requires at least a 386 PC with 4 MB memory, 6 MB free disk space and MS Windows 3.1. (orig.).

  6. Decision support systems for personalized and participative radiation oncology.

    Science.gov (United States)

    Lambin, Philippe; Zindler, Jaap; Vanneste, Ben G L; De Voorde, Lien Van; Eekers, Daniëlle; Compter, Inge; Panth, Kranthi Marella; Peerlings, Jurgen; Larue, Ruben T H M; Deist, Timo M; Jochems, Arthur; Lustberg, Tim; van Soest, Johan; de Jong, Evelyn E C; Even, Aniek J G; Reymen, Bart; Rekers, Nicolle; van Gisbergen, Marike; Roelofs, Erik; Carvalho, Sara; Leijenaar, Ralph T H; Zegers, Catharina M L; Jacobs, Maria; van Timmeren, Janita; Brouwers, Patricia; Lal, Jonathan A; Dubois, Ludwig; Yaromina, Ala; Van Limbergen, Evert Jan; Berbee, Maaike; van Elmpt, Wouter; Oberije, Cary; Ramaekers, Bram; Dekker, Andre; Boersma, Liesbeth J; Hoebers, Frank; Smits, Kim M; Berlanga, Adriana J; Walsh, Sean

    2017-01-15

    A paradigm shift from current population based medicine to personalized and participative medicine is underway. This transition is being supported by the development of clinical decision support systems based on prediction models of treatment outcome. In radiation oncology, these models 'learn' using advanced and innovative information technologies (ideally in a distributed fashion - please watch the animation: http://youtu.be/ZDJFOxpwqEA) from all available/appropriate medical data (clinical, treatment, imaging, biological/genetic, etc.) to achieve the highest possible accuracy with respect to prediction of tumor response and normal tissue toxicity. In this position paper, we deliver an overview of the factors that are associated with outcome in radiation oncology and discuss the methodology behind the development of accurate prediction models, which is a multi-faceted process. Subsequent to initial development/validation and clinical introduction, decision support systems should be constantly re-evaluated (through quality assurance procedures) in different patient datasets in order to refine and re-optimize the models, ensuring the continuous utility of the models. In the reasonably near future, decision support systems will be fully integrated within the clinic, with data and knowledge being shared in a standardized, dynamic, and potentially global manner enabling truly personalized and participative medicine. Copyright © 2016. Published by Elsevier B.V.

  7. An overview of decision tree applied to power systems

    DEFF Research Database (Denmark)

    Liu, Leo; Rather, Zakir Hussain; Chen, Zhe

    2013-01-01

    The corrosive volume of available data in electric power systems motivate the adoption of data mining techniques in the emerging field of power system data analytics. The mainstream of data mining algorithm applied to power system, Decision Tree (DT), also named as Classification And Regression...... Tree (CART), has gained increasing interests because of its high performance in terms of computational efficiency, uncertainty manageability, and interpretability. This paper presents an overview of a variety of DT applications to power systems for better interfacing of power systems with data...... analytics. The fundamental knowledge of CART algorithm is also introduced which is then followed by examples of both classification tree and regression tree with the help of case study for security assessment of Danish power system....

  8. A water management decision support system contributing to sustainability

    Science.gov (United States)

    Horváth, Klaudia; van Esch, Bart; Baayen, Jorn; Pothof, Ivo; Talsma, Jan; van Heeringen, Klaas-Jan

    2017-04-01

    Deltares and Eindhoven University of Technology are developing a new decision support system (DSS) for regional water authorities. In order to maintain water levels in the Dutch polder system, water should be drained and pumped out from the polders to the sea. The time and amount of pumping depends on the current sea level, the water level in the polder, the weather forecast and the electricity price forecast and possibly local renewable power production. This is a multivariable optimisation problem, where the goal is to keep the water level in the polder within certain bounds. By optimizing the operation of the pumps the energy usage and costs can be reduced, hence the operation of the regional water authorities can be more sustainable, while also anticipating on increasing share of renewables in the energy mix in a cost-effective way. The decision support system, based on Delft-FEWS as operational data-integration platform, is running an optimization model built in RTC-Tools 2, which is performing real-time optimization in order to calculate the pumping strategy. It is taking into account the present and future circumstances. As being the core of the real time decision support system, RTC-Tools 2 fulfils the key requirements to a DSS: it is fast, robust and always finds the optimal solution. These properties are associated with convex optimization. In such problems the global optimum can always be found. The challenge in the development is to maintain the convex formulation of all the non-linear components in the system, i.e. open channels, hydraulic structures, and pumps. The system is introduced through 4 pilot projects, one of which is a pilot of the Dutch Water Authority Rivierenland. This is a typical Dutch polder system: several polders are drained to the main water system, the Linge. The water from the Linge can be released to the main rivers that are subject to tidal fluctuations. In case of low tide, water can be released via the gates. In case of high

  9. Impacts of hospitals' innovativeness on information system outsourcing decisions.

    Science.gov (United States)

    Park, Jae Sung

    2014-04-01

    The purpose of this study was to identify the effects of hospitals' innovativeness on outsourcing decision-making regarding four information system (IS) functions, namely, software programs, network maintenance, hardware systems, and PC/printer maintenance. Using the 2011 roster of the Korean Hospital Association, this study selected 311 general hospitals as a study population. After identifying the managers who were in charge of outsourcing, this study administered questionnaires. A total of 103 hospitals responded. Of the responding hospitals, 55.34% outsourced at least one IS function, whereas 88.35% outsourced at least one managerial function. IS outsourcing was motivated by the need for outside experts, but other managerial functions were outsourced for cost savings. Innovative and early adopter hospitals were 4.52 and 4.91 times more likely to outsource IS functions related with work processes (i.e., software and network maintenance) than early and late majority hospitals, respectively. IT outsourcing effectiveness significantly influenced the outsourcing decisions regarding four IS functions. Hospitals that had perceived more risks of outsourcing significantly preferred non-outsourcing on their hardware systems, but the risks of outsourcing were not significant for outsourcing decisions regarding the other IS functions. Hospitals' innovativeness also significantly explained the quantity of innovation adoptions. Innovative and early adopter hospitals did more outsourcing than early and late majority hospitals. Hospitals' innovativeness influences decision-making regarding outsourcing. Innovative hospitals are more likely to outsource their work-process-related IS functions. Thus, organizational traits, especially hospitals' innovativeness, should be considered as a key success factor for IS management.

  10. Decision support system for predicting color change after tooth whitening.

    Science.gov (United States)

    Thanathornwong, Bhornsawan; Suebnukarn, Siriwan; Ouivirach, Kan

    2016-03-01

    Tooth whitening is becoming increasingly popular among patients and dentists since it is a relatively noninvasive approach. However, the degree of color change after tooth whitening is known to vary substantially between studies. The present study aims to develop a clinical decision support system for predicting color change after in-office tooth whitening. We used the information from patients' data sets, and applied the multiple regression equation of CIELAB color coordinates including L*, a*, and b* of the original tooth color and the color difference (ΔE) that expresses the color change after tooth whitening. To evaluate the system performance, the patient's post-treatment color was used as "gold standard" to compare with the post-treatment color predicted by the system. There was a high degree of agreement between the patient's post-treatment color and the post-treatment color predicted by the system (kappa value=0.894). The results obtained have demonstrated that the decision support system is possible to predict the color change obtained using an in-office whitening system using colorimetric values. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

  11. Effective factors in providing holistic care: A qualitative study

    Directory of Open Access Journals (Sweden)

    Vahid Zamanzadeh

    2015-01-01

    Full Text Available Background: Holistic care is a comprehensive model of caring. Previous studies have shown that most nurses do not apply this method. Examining the effective factors in nurses′ provision of holistic care can help with enhancing it. Studying these factors from the point of view of nurses will generate real and meaningful concepts and can help to extend this method of caring. Materials and Methods: A qualitative study was used to identify effective factors in holistic care provision. Data gathered by interviewing 14 nurses from university hospitals in Iran were analyzed with a conventional qualitative content analysis method and by using MAXQDA (professional software for qualitative and mixed methods data analysis software. Results: Analysis of data revealed three main themes as effective factors in providing holistic care: The structure of educational system, professional environment, and personality traits. Conclusion: Establishing appropriate educational, management systems, and promoting religiousness and encouragement will induce nurses to provide holistic care and ultimately improve the quality of their caring.

  12. Design of a decision support system in disaster management

    Energy Technology Data Exchange (ETDEWEB)

    Therrien, M.C. [Canadian Red Cross Society, Verdun, Quebec (Canada); Wybo, J.L. [Ecole des Mines de Paris, Sophia Antipolis (France)

    1995-12-31

    When a disaster occurs, complexity, turbulence and often uncertainty about crucial information and organization make coordination and decisions difficult. Managers faced with emergencies have several ways to take decision: from predefined plans associated to identified emergencies, from acquired knowledge linking observation to danger evaluation and related strategies, instantly, from no experience at all, from experience of past disasters and case studies. Disaster management is complex because each organization has its own regulations, practices and culture, and because managers are not aware of all the knowledge and experience of colleagues from other organizations. To improve efficiency, organizations such as the International Red Cross are designing and implementing global information systems and databases, to make possible an efficient sharing of information and to make available this experience in disaster management. This study has been started to propose a decision support system; the goal is to help any disaster manager by exploiting all the experience of disaster management which is available, using Artificial Intelligence techniques to assess similarities between disasters and to benefit from disasters experienced in the past.

  13. Dimension, Egalitarianism and Decisiveness of European Voting Systems

    Directory of Open Access Journals (Sweden)

    Francesc Carreras

    2016-01-01

    Full Text Available An analysis of three major aspects has been carried out that may apply to any of the successive voting systems used for the European Union Council of Ministers, from the first one established in the Treaty of Rome in 1958 to the current one established in Lisbon. We mainly consider the voting systems designed for the enlarged European Union adopted in the Athens summit, held in April 2003 but this analysis can be applied to any other system. First, it is shown that the dimension of these voting systems does not, in general, reduce. Next, the egalitarian effects of superposing two or three weighted majority games (often by introducing additional consensus are considered. Finally, the decisiveness of these voting systems is evaluated and compared. (original abstract

  14. Purposive interaction in multi-actor decision making : Operationalizing Coleman's linear system of action for policy decision support

    NARCIS (Netherlands)

    Timmermans, J.S.

    2004-01-01

    Purposive Interaction in Multi-Actor Decision Making; Operationalizing Coleman's Linear System of Action for Policy Decision Support, started out with a ball and a web, a policy domain moved by a network of actors. How can the ball maintain its pace? Who are the actors that make the difference? How

  15. The MultiAgent Decision Process toolbox: Software for decision-theoretic planning in multiagent-systems

    NARCIS (Netherlands)

    Spaan, M.T.J.; Oliehoek, F.A.; Shen, J.; Varakantham, P.; Maheswaran, R.

    2008-01-01

    This paper introduces the MultiAgent Decision Process software toolbox, an open source C++ library for decision-theoretic planning under uncertainty in multiagent systems. It provides support for several multiagent models, such as POSGs, Dec-POMDPs and MMDPs. The toolbox aims to reduce development

  16. Decision Support Systems in Health Care - Velocity of Apriori Algorithm.

    Science.gov (United States)

    Somek, Mario; Hercigonja-Szekeres, Mira

    2017-01-01

    The amount of stored data in health information systems can reach tera- and petabytes and application of specific algorithms in the field of data mining makes finding useful information suitable for making quality business decisions. A frequently used method for determining the rules of the relationship between attributes is the Association rule by applying Apriori algorithm. Lack of basic Apriori algorithm is derived from the slow work due to multiple scanned data sets. By examining the speed of generating the basic rules in relation to the improved Apriori algorithm by using software RapidMiner confirmed that the time required to generate rules for Improved algorithm is shorter, the rules are quickly generated particularly for large data sets, which is an advantage for making decisions.

  17. Systemic Data-Based Decision Making: A Systems Approach for Using Data in Schools

    Science.gov (United States)

    Walser, Tamara M.

    2009-01-01

    No Child Left Behind has increased data collection and reporting, the development of data systems, and interest in using data for decision-making in schools and classrooms. Ends-driven decision making has become common educational practice, where the ends justify the means at all costs, and short-term results trump longer-term outcomes and the…

  18. Multi objective decision making in hybrid energy system design

    Science.gov (United States)

    Merino, Gabriel Guillermo

    The design of grid-connected photovoltaic wind generator system supplying a farmstead in Nebraska has been undertaken in this dissertation. The design process took into account competing criteria that motivate the use of different sources of energy for electric generation. The criteria considered were 'Financial', 'Environmental', and 'User/System compatibility'. A distance based multi-objective decision making methodology was developed to rank design alternatives. The method is based upon a precedence order imposed upon the design objectives and a distance metric describing the performance of each alternative. This methodology advances previous work by combining ambiguous information about the alternatives with a decision-maker imposed precedence order in the objectives. Design alternatives, defined by the photovoltaic array and wind generator installed capacities, were analyzed using the multi-objective decision making approach. The performance of the design alternatives was determined by simulating the system using hourly data for an electric load for a farmstead and hourly averages of solar irradiation, temperature and wind speed from eight wind-solar energy monitoring sites in Nebraska. The spatial variability of the solar energy resource within the region was assessed by determining semivariogram models to krige hourly and daily solar radiation data. No significant difference was found in the predicted performance of the system when using kriged solar radiation data, with the models generated vs. using actual data. The spatial variability of the combined wind and solar energy resources was included in the design analysis by using fuzzy numbers and arithmetic. The best alternative was dependent upon the precedence order assumed for the main criteria. Alternatives with no PV array or wind generator dominated when the 'Financial' criteria preceded the others. In contrast, alternatives with a nil component of PV array but a high wind generator component

  19. Review of retrofit strategies decision system in historic perspective

    Directory of Open Access Journals (Sweden)

    M. D. Bostenaru Dan

    2004-01-01

    Full Text Available Urban development is a process. In structuring and developing its phases different actors are implied, who act under different, sometimes opposite, dynamic conditions and within different reference systems. This paper aims to explore the contribution of participatism to disaster mitigation, when this concerns earthquake impact on urban settlements, through the support provided to multi-criteria decision in matters of retrofit. The research broadness in field of decision making on one side and the lack of a specific model for the retrofit of existing buildings on another side led to an extensive review of the state of the art in related models to address the issue. Core idea in the selection of existing models has been the preoccupation for collaborative issues, in other words, the consideration for the different actors implied in the planning process. The historic perspective on participative planning models is made from the view of two generations of citizen implication. The first approaches focus on the participation of the building owner/inhabitant in the planning process of building construction. As current strategies building rehabilitation and selection from alternative retrofit strategies are presented. New developments include innovative models using the internet or spatial databases. The investigated participation approaches show, that participation and communication as a more comprehensive term are an old topic in the field politics-democratisation-urbanism. In all cases it can be talked of 'successful learning processes', of the improvement of the level of the professional debate. More than 30 years history of participation marked a transition in understanding the concept: from participation, based on a central decision process leading to a solution controlled and steered by the political-administrative system, to communication, characterised by simultaneous decision processes taking place outside politics and administration in co

  20. Research on web-based decision support system for sports competitions

    Science.gov (United States)

    Huo, Hanqiang

    2010-07-01

    This paper describes the system architecture and implementation technology of the decision support system for sports competitions, discusses the design of decision-making modules, management modules and security of the system, and proposes the development idea of building a web-based decision support system for sports competitions.

  1. Clinical decision-making and secondary findings in systems medicine.

    Science.gov (United States)

    Fischer, T; Brothers, K B; Erdmann, P; Langanke, M

    2016-05-21

    Systems medicine is the name for an assemblage of scientific strategies and practices that include bioinformatics approaches to human biology (especially systems biology); "big data" statistical analysis; and medical informatics tools. Whereas personalized and precision medicine involve similar analytical methods applied to genomic and medical record data, systems medicine draws on these as well as other sources of data. Given this distinction, the clinical translation of systems medicine poses a number of important ethical and epistemological challenges for researchers working to generate systems medicine knowledge and clinicians working to apply it. This article focuses on three key challenges: First, we will discuss the conflicts in decision-making that can arise when healthcare providers committed to principles of experimental medicine or evidence-based medicine encounter individualized recommendations derived from computer algorithms. We will explore in particular whether controlled experiments, such as comparative effectiveness trials, should mediate the translation of systems medicine, or if instead individualized findings generated through "big data" approaches can be applied directly in clinical decision-making. Second, we will examine the case of the Riyadh Intensive Care Program Mortality Prediction Algorithm, pejoratively referred to as the "death computer," to demonstrate the ethical challenges that can arise when big-data-driven scoring systems are applied in clinical contexts. We argue that the uncritical use of predictive clinical algorithms, including those envisioned for systems medicine, challenge basic understandings of the doctor-patient relationship. Third, we will build on the recent discourse on secondary findings in genomics and imaging to draw attention to the important implications of secondary findings derived from the joint analysis of data from diverse sources, including data recorded by patients in an attempt to realize their

  2. The Telecommunications Emergency Decision Support System as a Crisis Management Decision Support System

    Science.gov (United States)

    1991-09-01

    The DragonDictate system requires MS-DOS version 3.3 or higher, an 80386 based computer that is PC/AT or PS/2 compatible system, either 6 megabytes of...processing envisioned in a revision of the TEDSS, significant CPU processing will be required. The laptop market is finally gaining some steam and some very...powerful laptop computers are emerging. A SparcStation laptop has just recently appeared with memory up to 48 MB of RAM and the CPU power of a SUN IPC

  3. How Turing and Wolf influenced my Decision Support Systems.

    Science.gov (United States)

    Richards, Bernard

    2013-01-01

    Decision Support Systems (DSS) have a vital role to play in today's scenario for Patient Care. They can embody a vast knowledge not normally found in one individual where diagnosis and treatment are involved. This paper highlights the training in minute details and precise mathematics needed in a successful DSS and indicates how such attention-to-detail was instilled into the writer as a result of working with Alan Turing and Emil Wolf who have both since achieved world-wide recognition in their own fields as a result of international publicity by the current writer. The article discusses four Decision Support Systems written by the present writer all of which have been shown to improve patient treatment and care, and which are of such complexity that, without their use, patient care would fall short of optimum. The Systems considered are those for Intensive Care Units, Cardiovascular Surgery, a Programmed Investigation Unit, and Diagnosis of Congenital Abnormalities. All these Systems have performed better than the human alternatives and have shown their value in the improvement of patient care.

  4. Autonomous perception and decision making in cyber-physical systems

    Science.gov (United States)

    Sarkar, Soumik

    2011-07-01

    The cyber-physical system (CPS) is a relatively new interdisciplinary technology area that includes the general class of embedded and hybrid systems. CPSs require integration of computation and physical processes that involves the aspects of physical quantities such as time, energy and space during information processing and control. The physical space is the source of information and the cyber space makes use of the generated information to make decisions. This dissertation proposes an overall architecture of autonomous perception-based decision & control of complex cyber-physical systems. Perception involves the recently developed framework of Symbolic Dynamic Filtering for abstraction of physical world in the cyber space. For example, under this framework, sensor observations from a physical entity are discretized temporally and spatially to generate blocks of symbols, also called words that form a language. A grammar of a language is the set of rules that determine the relationships among words to build sentences. Subsequently, a physical system is conjectured to be a linguistic source that is capable of generating a specific language. The proposed technology is validated on various (experimental and simulated) case studies that include health monitoring of aircraft gas turbine engines, detection and estimation of fatigue damage in polycrystalline alloys, and parameter identification. Control of complex cyber-physical systems involve distributed sensing, computation, control as well as complexity analysis. A novel statistical mechanics-inspired complexity analysis approach is proposed in this dissertation. In such a scenario of networked physical systems, the distribution of physical entities determines the underlying network topology and the interaction among the entities forms the abstract cyber space. It is envisioned that the general contributions, made in this dissertation, will be useful for potential application areas such as smart power grids and

  5. GEOGRAPHICAL INFORMATION SYSTEM, DECISION SUPPORT SYSTEMS, AND URBAN STORMWATER MANAGEMENT

    Science.gov (United States)

    The full report reviews the application of Geographic Inforamtion System (GIS) technology to the field of urban stormwater modeling. The GIS literature is reviewed in the context of its use as a spatial database for urban stormwater modeling, integration of GIS and hydroloic time...

  6. Integration and transformation of rural service delivery: The role of management information and decision support systems

    CSIR Research Space (South Africa)

    Mashiri, M

    2005-01-01

    Full Text Available is introduced by an overview of different types of rural service delivery decisions and associated decision support requirements. Depending on the type of decision problem or mode of planning, there may be a need for MIS-type or DSS-type decision support systems...

  7. A Product Development Decision Model for Cockpit Weather Information Systems

    Science.gov (United States)

    Sireli, Yesim; Kauffmann, Paul; Gupta, Surabhi; Kachroo, Pushkin

    2003-01-01

    There is a significant market demand for advanced cockpit weather information products. However, it is unclear how to identify the most promising technological options that provide the desired mix of consumer requirements by employing feasible technical systems at a price that achieves market success. This study develops a unique product development decision model that employs Quality Function Deployment (QFD) and Kano's model of consumer choice. This model is specifically designed for exploration and resolution of this and similar information technology related product development problems.

  8. A Product Development Decision Model for Cockpit Weather Information System

    Science.gov (United States)

    Sireli, Yesim; Kauffmann, Paul; Gupta, Surabhi; Kachroo, Pushkin; Johnson, Edward J., Jr. (Technical Monitor)

    2003-01-01

    There is a significant market demand for advanced cockpit weather information products. However, it is unclear how to identify the most promising technological options that provide the desired mix of consumer requirements by employing feasible technical systems at a price that achieves market success. This study develops a unique product development decision model that employs Quality Function Deployment (QFD) and Kano's model of consumer choice. This model is specifically designed for exploration and resolution of this and similar information technology related product development problems.

  9. Risk Informed Structural Systems Integrity Management: A Decision Analytical Perspective

    DEFF Research Database (Denmark)

    Nielsen, Michael Havbro Faber

    2017-01-01

    The present paper is predominantly a conceptual contribution with an appraisal of major developments in risk informed structural integrity management for offshore installations together with a discussion of their merits and the challenges which still lie ahead. Starting point is taken in a selected...... overview of research and development contributions which have formed the basis for Risk Based Inspection Planning (RBI) as we know it today. Thereafter an outline of the methodical basis for risk informed structural systems integrity management, i.e. the Bayesian decision analysis is provided in summary...

  10. Supernumerary teeth: Review of literature and decision support system

    Directory of Open Access Journals (Sweden)

    Deepti Amarlal

    2013-01-01

    Full Text Available Supernumerary teeth are those which are additional or in excess of the normal number. They can be either single or multiple, unilateral or bilateral and can be present anywhere in the dental arch with predilection for the premaxilla. Supernumerary teeth are mostly classified on position and form. Timing of surgical intervention of supernumerary teeth has been controversial with various authors having different opinions. Hence a new decision support system is put forward which can help in the treatment planning of supernumerary teeth.

  11. Designing Human-Centered Systems for Reflective Decision Making

    NARCIS (Netherlands)

    Pommeranz, A.

    2012-01-01

    Taking major life decisions, e.g. what career to follow, is difficult and sometimes emotional. One has to find out what exactly one wants, consider the long-term consequences of the decisions and be empathetic for loved ones affected by the decisions. Decision making also deals with establishing and

  12. Decision support system for outage management and automated crew dispatch

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Ning; Mousavi, Mirrasoul

    2018-01-23

    A decision support system is provided for utility operations to assist with crew dispatch and restoration activities following the occurrence of a disturbance in a multiphase power distribution network, by providing a real-time visualization of possible location(s). The system covers faults that occur on fuse-protected laterals. The system uses real-time data from intelligent electronics devices coupled with other data sources such as static feeder maps to provide a complete picture of the disturbance event, guiding the utility crew to the most probable location(s). This information is provided in real-time, reducing restoration time and avoiding more costly and laborious fault location finding practices.

  13. A decision support system for the reading of ancient documents

    DEFF Research Database (Denmark)

    Roued-Cunliffe, Henriette

    2011-01-01

    The research presented in this thesis is based in the Humanities discipline of Ancient History and begins by attempting to understand the interpretation process involved in reading ancient documents and how this process can be aided by computer systems such as Decision Support Systems (DSS......). The thesis balances between the use of IT tools to aid Humanities research and the understanding that Humanities research must involve human beings. It does not attempt to develop a system that can automate the reading of ancient documents. Instead it seeks to demonstrate and develop tools that can support...... this process in the five areas: remembering complex reasoning, searching huge datasets, international collaboration, publishing editions, and image enhancement. This research contains a large practical element involving the development of a DSS prototype. The prototype is used to illustrate how a DSS...

  14. Therapy Decision Support Based on Recommender System Methods

    Directory of Open Access Journals (Sweden)

    Felix Gräßer

    2017-01-01

    Full Text Available We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  15. Therapy Decision Support Based on Recommender System Methods.

    Science.gov (United States)

    Gräßer, Felix; Beckert, Stefanie; Küster, Denise; Schmitt, Jochen; Abraham, Susanne; Malberg, Hagen; Zaunseder, Sebastian

    2017-01-01

    We present a system for data-driven therapy decision support based on techniques from the field of recommender systems. Two methods for therapy recommendation, namely, Collaborative Recommender and Demographic-based Recommender, are proposed. Both algorithms aim to predict the individual response to different therapy options using diverse patient data and recommend the therapy which is assumed to provide the best outcome for a specific patient and time, that is, consultation. The proposed methods are evaluated using a clinical database incorporating patients suffering from the autoimmune skin disease psoriasis. The Collaborative Recommender proves to generate both better outcome predictions and recommendation quality. However, due to sparsity in the data, this approach cannot provide recommendations for the entire database. In contrast, the Demographic-based Recommender performs worse on average but covers more consultations. Consequently, both methods profit from a combination into an overall recommender system.

  16. Calculating Outcrossing Rates used in Decision Support Systems for Ships

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam

    2008-01-01

    Onboard decision support systems (DSS) are used to increase the operational safety of ships. Ideally, DSS can estimate - in the statistical sense - future ship responses on a time scale of the order of 1-3 hours taking into account speed and course changes. The calculations depend on both...... operational and environmental parameters that are known only in the statistical sense. The present paper suggests a procedure to incorporate random variables and associated uncertainties in calculations of outcrossing rates, which are the basis for risk-based DSS. The procedure is based on parallel system...... analysis, and the paper derives and describes the main ideas. The concept is illustrated by an example, where the limit state of a non-linear ship response is considered. The results from the parallel system analysis are in agreement with corresponding Monte Carlo simulations. However, the computational...

  17. The Aegean sea marine security decision support system

    Science.gov (United States)

    Perivoliotis, L.; Krokos, G.; Nittis, K.; Korres, G.

    2011-10-01

    As part of the integrated ECOOP (European Coastal Sea Operational observing and Forecasting System) project, HCMR upgraded the already existing standalone Oil Spill Forecasting System for the Aegean Sea, initially developed for the Greek Operational Oceanography System (POSEIDON), into an active element of the European Decision Support System (EuroDeSS). The system is accessible through a user friendly web interface where the case scenarios can be fed into the oil spill drift model component, while the synthetic output contains detailed information about the distribution of oil spill particles and the oil spill budget and it is provided both in text based ECOOP common output format and as a series of sequential graphics. The main development steps that were necessary for this transition were the modification of the forcing input data module in order to allow the import of other system products which are usually provided in standard formats such as NetCDF and the transformation of the model's calculation routines to allow use of current, density and diffusivities data in z instead of sigma coordinates. During the implementation of the Aegean DeSS, the system was used in operational mode in order to support the Greek marine authorities in handling a real accident that took place in North Aegean area. Furthermore, the introduction of common input and output files by all the partners of EuroDeSS extended the system's interoperability thus facilitating data exchanges and comparison experiments.

  18. The Aegean sea marine security decision support system

    Directory of Open Access Journals (Sweden)

    L. Perivoliotis

    2011-10-01

    Full Text Available As part of the integrated ECOOP (European Coastal Sea Operational observing and Forecasting System project, HCMR upgraded the already existing standalone Oil Spill Forecasting System for the Aegean Sea, initially developed for the Greek Operational Oceanography System (POSEIDON, into an active element of the European Decision Support System (EuroDeSS. The system is accessible through a user friendly web interface where the case scenarios can be fed into the oil spill drift model component, while the synthetic output contains detailed information about the distribution of oil spill particles and the oil spill budget and it is provided both in text based ECOOP common output format and as a series of sequential graphics. The main development steps that were necessary for this transition were the modification of the forcing input data module in order to allow the import of other system products which are usually provided in standard formats such as NetCDF and the transformation of the model's calculation routines to allow use of current, density and diffusivities data in z instead of sigma coordinates. During the implementation of the Aegean DeSS, the system was used in operational mode in order to support the Greek marine authorities in handling a real accident that took place in North Aegean area. Furthermore, the introduction of common input and output files by all the partners of EuroDeSS extended the system's interoperability thus facilitating data exchanges and comparison experiments.

  19. [Decision support system for watershed management: a review].

    Science.gov (United States)

    Cao, Yu; Yan, Jing

    2012-07-01

    Watershed management decision support system (DSS) is an intellectual system developed for the optimal allocation of water resources by watershed managers, and the simulation results of the system can directly affect the scientificity and practicability of watershed management. This paper summarized the related researches from the aspects of water quantity simulation and deployment systems, water quality monitoring and evaluation systems, and integrated watershed management systems. The main features and problems in existing DSS were analyzed, and the model structure and development status of the representative systems such as AQUA-Tool, Elbe-DSS, and HD were introduced. It was suggested that the accuracy and stability of simulated results, the succinctness of working process, and the high degree of user visualization would be the focuses in developing the DSS in the future, and the optimization of program-selecting models and 3D visualization tools, the research and development of inter-basin integrated management DSS, and the improvement of stakeholder participation would be the development trend for the future watershed management DSS.

  20. Identification of Crew-Systems Interactions and Decision Related Trends

    Science.gov (United States)

    Jones, Sharon Monica; Evans, Joni K.; Reveley, Mary S.; Withrow, Colleen A.; Ancel, Ersin; Barr, Lawrence

    2013-01-01

    NASA Vehicle System Safety Technology (VSST) project management uses systems analysis to identify key issues and maintain a portfolio of research leading to potential solutions to its three identified technical challenges. Statistical data and published safety priority lists from academic, industry and other government agencies were reviewed and analyzed by NASA Aviation Safety Program (AvSP) systems analysis personnel to identify issues and future research needs related to one of VSST's technical challenges, Crew Decision Making (CDM). The data examined in the study were obtained from the National Transportation Safety Board (NTSB) Aviation Accident and Incident Data System, Federal Aviation Administration (FAA) Accident/Incident Data System and the NASA Aviation Safety Reporting System (ASRS). In addition, this report contains the results of a review of safety priority lists, information databases and other documented references pertaining to aviation crew systems issues and future research needs. The specific sources examined were: Commercial Aviation Safety Team (CAST) Safety Enhancements Reserved for Future Implementation (SERFIs), Flight Deck Automation Issues (FDAI) and NTSB Most Wanted List and Open Recommendations. Various automation issues taxonomies and priority lists pertaining to human factors, automation and flight design were combined to create a list of automation issues related to CDM.

  1. Economic Decision Making: Application of the Theory of Complex Systems

    Science.gov (United States)

    Kitt, Robert

    In this chapter the complex systems are discussed in the context of economic and business policy and decision making. It will be showed and motivated that social systems are typically chaotic, non-linear and/or non-equilibrium and therefore complex systems. It is discussed that the rapid change in global consumer behaviour is underway, that further increases the complexity in business and management. For policy making under complexity, following principles are offered: openness and international competition, tolerance and variety of ideas, self-reliability and low dependence on external help. The chapter contains four applications that build on the theoretical motivation of complexity in social systems. The first application demonstrates that small economies have good prospects to gain from the global processes underway, if they can demonstrate production flexibility, reliable business ethics and good risk management. The second application elaborates on and discusses the opportunities and challenges in decision making under complexity from macro and micro economic perspective. In this environment, the challenges for corporate management are being also permanently changed: the balance between short term noise and long term chaos whose attractor includes customers, shareholders and employees must be found. The emergence of chaos in economic relationships is demonstrated by a simple system of differential equations that relate the stakeholders described above. The chapter concludes with two financial applications: about debt and risk management. The non-equilibrium economic establishment leads to additional problems by using excessive borrowing; unexpected downturns in economy can more easily kill companies. Finally, the demand for quantitative improvements in risk management is postulated. Development of the financial markets has triggered non-linearity to spike in prices of various production articles such as agricultural and other commodities that has added market

  2. ENERGY AWARE NETWORK: BAYESIAN BELIEF NETWORKS BASED DECISION MANAGEMENT SYSTEM

    Directory of Open Access Journals (Sweden)

    Santosh Kumar Chaudhari

    2011-06-01

    Full Text Available A Network Management System (NMS plays a very important role in managing an ever-evolving telecommunication network. Generally an NMS monitors & maintains the health of network elements. The growing size of the network warrants extra functionalities from the NMS. An NMS provides all kinds of information about networks which can be used for other purposes apart from monitoring & maintaining networks like improving QoS & saving energy in the network. In this paper, we add another dimension to NMS services, namely, making an NMS energy aware. We propose a Decision Management System (DMS framework which uses a machine learning technique called Bayesian Belief Networks (BBN, to make the NMS energy aware. The DMS is capable of analysing and making control decisions based on network traffic. We factor in the cost of rerouting and power saving per port. Simulations are performed on standard network topologies, namely, ARPANet and IndiaNet. It is found that ~2.5-6.5% power can be saved.

  3. Implementing a decision support system (DSS in e-business

    Directory of Open Access Journals (Sweden)

    Alexandra Ruiz G.

    2010-05-01

    Full Text Available Decision support systems (DSS and e-business (EB have emerged as separate areas. However, currently, and for some years now, DSS and EB have become merged to provide customers with greater benefits and added value. There are different types of DSS and different categories and business models for EB; one area’s applicability to the other thus expands the possible combi- nations which can arise from such different categories. Some representative examples would include auction sites which, through applying intelligent agents, can learn about which products to offer or when and where to sell them; DSS allow a company’s in- formation avilable in web portals for customers and employees to be accessed in a controlled way and decisions thus made; vir- tual stores may be positively affected by data mining and data warehousing being applied; complex algorithms could be used in customer relationship management for predicting and analysing “what would happen if” to identify revenue opportunities in com- petitive markets; and a wide range of other applications where imagination is the limit. Research into DSS / BE must be ongoing due to the constant emergence of new business models and DSS subsystems. Applications can be varied and provide bi-directio- nal support for each one. New interaction mechanisms and efforts to satisfy customers are also the focus of inspiration for new applications for DSS systems in EB.

  4. DECISION SUPPORT SYSTEMS BASED ON QUALITATIVE METHODS FOR PROJECT MANAGEMENT

    Directory of Open Access Journals (Sweden)

    Олег Николаевич ГУЦА

    2017-03-01

    Full Text Available State-of-the-art decision support systems (DSS used in project management are mainly based on quantitative methods. However, formal methods of modern mathematics alone are not capable of being a universal means of solving all practical problems in this area. Due to their limited capabilities and lack of statistical and other relevant information, economic-mathematical methods find limited application in management and marketing. In addition, there are few reliable validation and verification methods available. On the other hand, expert assessment methods are free of these disadvantages and are almost the only way to solve this type of problem. Advantages of this approach include simplicity of prediction in nearly every case and excellent performance in incomplete information scenarios. This work presents a new information technology which generates a DSS, based on qualitative methods of verbal decision analysis. The authors propose certain modifications to the method of ordinary classification. The proposed technology is implemented as a web application, which is used to design a system that evaluates the probability of a successful project.

  5. [Use of spreadsheets as decision support systems in health care].

    Science.gov (United States)

    Sabanović, Z; Masic, I

    1995-01-01

    During the last decade the spreadsheets take very important place in many different kind of theoretical and practical applications. In recent years the PC-Windows Operating System allowed us to use and develop many sorts of specialised software packages, as well as expert packages, applicable in medicine. The relationship or communication between man and computer has been improved using new hardware configuration based on fast and intelligent processors, software modification and audio-visual technology. The facts mentioned above have instantly produced circumstances for more powerful spreadsheet software. According to powerful spreadsheet features we can utilise calculation and maximise HIGM requirement for our software configuration. The investigation within large area of Tuzla-Podrinje Kanton shows us that small number of people are using spreadsheet in medical application. Very small percentage of people have limited number of applications on calculation like, subtraction, addition, multiplication, division and percentage. They have often used spreadsheet as an integral part of the following software packages, EXCEL ver. 5.0 and very little Lotus 1-2-3 because Lotus is in these days behind. The aim of this paper is to highlight application of the spreadsheet USING EXCEL software package. Apart from simple calculation and graphic presentation in "DSS-Decision making support system" can be used for model simulation, generator configuration, management monitoring, support and decision making in health care.

  6. Holistic curriculum development: tutoring as a support process ...

    African Journals Online (AJOL)

    The tutor's role in these involves different aspects of teaching and learning. In this article I explore the value of tutoring as a means of supporting the holistic curriculum development process. I reflect on the reason for introducing a system of tutoring for students in curriculum studies and the results of its implementation on ...

  7. A Holistic Approach for Low Cost Heliostat Fields

    NARCIS (Netherlands)

    Pfahl, A.; Randt, M.; Meier, F.; Zaschke, M.; Geurts, C.P.W.; Buselmeier, M.

    2015-01-01

    The AutoR-project takes a holistic approach to reduce the cost of heliostat fields: Wireless control and energy supply enables to use smaller heliostats which need less steel per mirror area (but usually have high wiring cost). A low cost but high efficient drive system is chosen which reduces

  8. Reliability of decision-support systems for nuclear emergency management

    Energy Technology Data Exchange (ETDEWEB)

    Ionescu, Tudor B.

    2013-08-15

    Decision support systems for nuclear emergency management (DSNE) are currently used worldwide to assist decision makers in taking emergency response countermeasures in case of accidental releases of radioactive materials from nuclear facilities. The present work has been motivated by the fact that, up until now, DSNE systems have not been regarded as safetycritical software systems, such as embedded software currently being used in vehicles and aircraft. The core of any DSNE system is represented by the different simulation codes linked together to form the dispersion simulation workflow. These codes require input emission and meteorological data to produce forecasts of the atmospheric dispersion of radioactive pollutants and other substances. However, the reliability of the system not only depends on the trustworthiness of the measured (or generated) input data but also on the reliability of the simulation codes used. The main goal of this work is to improve the reliability of DSNE systems by adapting current state of the art methods from the domain of software reliability engineering to the case of atmospheric dispersion simulation codes. The current approach is based on the design by diversity principle for improving the reliability of codes and the trustworthiness of results as well as on a flexible fault-tolerant workflow scheduling algorithm for ensuring the maximum availability of the system. The author's contribution is represented by (i) an acceptance test for dispersion simulation results, (ii) an adjudication algorithm (voter) based on comparing taxonomies of dispersion simulation results, and (iii) a feedback-control based fault-tolerant workflow scheduling algorithm. These tools provide means for the continuous verification of dispersion simulation codes while tolerating timing faults caused by disturbances in the underlying computational environment and will thus help increase the reliability and trustworthiness of DSNE systems in missioncritical

  9. Building consensus in strategic decision-making : system dynamics as a group support system

    NARCIS (Netherlands)

    Vennix, J.A.M.

    1995-01-01

    System dynamics was originally founded as a method for modeling and simulating the behavior of industrial systems. In recent years it is increasingly employed as a Group Support System for strategic decision-making groups. The model is constructed in direct interaction with a management team, and

  10. A Clinical Decision Support System for Breast Cancer Patients

    Science.gov (United States)

    Fernandes, Ana S.; Alves, Pedro; Jarman, Ian H.; Etchells, Terence A.; Fonseca, José M.; Lisboa, Paulo J. G.

    This paper proposes a Web clinical decision support system for clinical oncologists and for breast cancer patients making prognostic assessments, using the particular characteristics of the individual patient. This system comprises three different prognostic modelling methodologies: the clinically widely used Nottingham prognostic index (NPI); the Cox regression modelling and a partial logistic artificial neural network with automatic relevance determination (PLANN-ARD). All three models yield a different prognostic index that can be analysed together in order to obtain a more accurate prognostic assessment of the patient. Missing data is incorporated in the mentioned models, a common issue in medical data that was overcome using multiple imputation techniques. Risk group assignments are also provided through a methodology based on regression trees, where Boolean rules can be obtained expressed with patient characteristics.

  11. INFORMATIONAL MANAGEMENT SYSTEM AND ITS CHALLENGES AT DECISION LEVEL

    Directory of Open Access Journals (Sweden)

    Răzvan Ion CHIȚESCU

    2015-06-01

    Full Text Available The presented research in this study highlights the impact of the changes that took place by the implementation of the informational system management at the level of taking decisions in a public institution. In this frame, with the opportunities and limitations, the manager’s role becomes the binder that the combination between the influences of the informational technological influences and the involved human resource in the transformations of the Romanian public sector needs for a successful and efficient evolution. Based on an empirical study, there were highlighted a series of challenges that a manager must answer so he can overcome all the shortcomings that are involved by the projection and implementation of an informational system in a public institution, and to make the most of all the facilities that this process offers, offering a maximum of efficacy, analysis, perspective and communication.

  12. Sustainability Decision Support Framework for Industrial System Prioritization

    DEFF Research Database (Denmark)

    Ren, Jingzheng; Wei, Shunan; Goodsite, Michael Evan

    2016-01-01

    A multicriteria decision-making methodology for the sustainability prioritization of industrial systems is proposed. The methodology incorporates a fuzzy Analytic Hierarchy Process method that allows the users to assess the soft criteria using linguistic terms. A fuzzy Analytic Network Process...... method is used to calculate the weights of each criterion, which can tackle the interdependencies and interactions among the criteria. The Preference Ranking Organization Method for Enrichment Evaluation approach is used to prioritize the sustainability sequence of the alternative systems. Moreover......, a sensitivity analysis method was developed to investigate the most critical and sensitive criteria. The developed methodology was illustrated by a case study to rank the sustainability of five alternative hydrogen production technologies. The advantages of the developed methodology over the previous approaches...

  13. A Decision Support System For Assisting With Stocking Rate Decisions During And Following Drought

    Science.gov (United States)

    Ranchers and range managers in the West are at the mercy of climatic conditions that determine the amount of annual forge available on rangeland. Typically, stocking or de-stocking decisions need to be made before the final forage production level is known. Erroneous stocking rate decisions can have...

  14. A Knowledge-Based Systems Approach to Design of Spatial Decision Support Systems for Environmental Management

    Science.gov (United States)

    Zhu; Healey; Aspinall

    1998-01-01

    / This paper describes a framework for designing spatial decision support systems for environmental management using a knowledge-based systems approach. An architecture for knowledge-based spatial decision supportsystems (KBSDSS) is presented that integrates knowledge-based systems with geographical information systems (GIS) and other problem-solving techniques. A method based on spatial influence diagrams is developed for representation of environmental problems. The spatial influence diagram provides an interface through which knowledge-based systems techniques can be applied to build capabilities for problem formulation, automated design, and execution of a solution process. In addition to the flexibility and developmental advantages of knowledge-based systems, the KBSDSS incorporates expert knowledge to provide assistance for structuring spatial influence diagrams and executing a solution process that automatically integrates the GIS, data base, knowledge base, and different types of models. The framework is illustrated with a system, known as the Islay Land Use Decision Support System (ILUDSS), designed to assist planners in strategic planning of land use for the development of the island of Islay, off the west coast of Scotland.KEY WORDS: Geographical information systems; Spatial decision support systems; Knowledge-based systems; Spatial influence diagrams; Environmental management

  15. Systems Medicine for Multiple Myeloma: A Review on Decision Support Systems.

    Science.gov (United States)

    Ganzinger, Matthias; Haux, Christian; Karmen, Christian; Wetter, Thomas; Knaup, Petra

    2015-01-01

    Systems medicine is a current approach trying to improve treatment for patients with complex diseases by analyzing as much phenotype and genotype data as possible for the disease in question. For individualized treatment decisions in clinical practice, this task has to be supported by an application system with decision support component. For a research project on systems medicine we reviewed methods for decision support. Criteria for selecting a method are derived from characteristics of the data and the diseases. They include, among others: dimensionality of data and existence of a priori models for diseases. As a result we decided to implement a prototype system with a case-based reasoning component for systems medicine on multiple myeloma.

  16. IDENTIFYING OPERATIONAL REQUIREMENTS TO SELECT SUITABLE DECISION MODELS FOR A PUBLIC SECTOR EPROCUREMENT DECISION SUPPORT SYSTEM

    Directory of Open Access Journals (Sweden)

    Mohamed Adil

    2014-10-01

    Full Text Available Public sector procurement should be a transparent and fair process. Strict legal requirements are enforced on public sector procurement to make it a standardised process. To make fair decisions on selecting suppliers, a practical method which adheres to legal requirements is important. The research that is the base for this paper aimed at identifying a suitable Multi-Criteria Decision Analysis (MCDA method for the specific legal and functional needs of the Maldivian Public Sector. To identify such operational requirements, a set of focus group interviews were conducted in the Maldives with public officials responsible for procurement decision making. Based on the operational requirements identified through focus groups, criteria-based evaluation is done on published MCDA methods to identify the suitable methods for e-procurement decision making. This paper describes the identification of the operational requirements and the results of the evaluation to select suitable decision models for the Maldivian context.

  17. Towards an Assessment Methodology to Support Decision Making for Sustainable Electronic Waste Management Systems: Automatic Sorting Technology

    Directory of Open Access Journals (Sweden)

    Ilaria Barletta

    2016-01-01

    Full Text Available There is a lack of structured methodologies to support stakeholders in accessing the sustainability aspects for e-waste management. Moreover, the increasing volume of electronic waste (e-waste and the availability of automated e-waste treatment solutions demand frequent reconfigurations of facilities for efficient e-waste management. To fill this gap and guide such ongoing developments, this paper proposes a novel methodological framework to enable the assessing, visualizing and comparing of sustainability impacts (economic, environmental and social resulting from changes applied to a facility for e-waste treatment. The methodology encompasses several methods, such as discrete event simulation, life cycle assessment and stakeholder mapping. A newly-developed demonstrator for sorting e-waste is presented to illustrate the application of the framework. Not only did the methodology generate useful information for decision making, but it has also helped identify requirements for further assessing the broader impacts on the social landscape in which e-waste management systems operate. These results differ from those of previous studies, which have lacked a holistic approach to addressing sustainability. Such an approach is important to truly measure the efficacy of sustainable e-waste management. Potential future applications of the framework are envisioned in production systems handling other waste streams, besides electronics.

  18. Decision Support Systems for Launch and Range Operations Using Jess

    Science.gov (United States)

    Thirumalainambi, Rajkumar

    2007-01-01

    The virtual test bed for launch and range operations developed at NASA Ames Research Center consists of various independent expert systems advising on weather effects, toxic gas dispersions and human health risk assessment during space-flight operations. An individual dedicated server supports each expert system and the master system gather information from the dedicated servers to support the launch decision-making process. Since the test bed is based on the web system, reducing network traffic and optimizing the knowledge base is critical to its success of real-time or near real-time operations. Jess, a fast rule engine and powerful scripting environment developed at Sandia National Laboratory has been adopted to build the expert systems providing robustness and scalability. Jess also supports XML representation of knowledge base with forward and backward chaining inference mechanism. Facts added - to working memory during run-time operations facilitates analyses of multiple scenarios. Knowledge base can be distributed with one inference engine performing the inference process. This paper discusses details of the knowledge base and inference engine using Jess for a launch and range virtual test bed.

  19. Improving Electronic Resources through Holistic Budgeting

    Science.gov (United States)

    Kusik, James P.; Vargas, Mark A.

    2009-01-01

    To establish a more direct link between its collections and the educational goals of Saint Xavier University, the Byrne Memorial Library has adopted a "holistic" approach to collection development. This article examines how traditional budget practices influenced the library's selection of resources and describes how holistic collection…

  20. Holistic Processing of Static and Moving Faces

    Science.gov (United States)

    Zhao, Mintao; Bülthoff, Isabelle

    2017-01-01

    Humans' face ability develops and matures with extensive experience in perceiving, recognizing, and interacting with faces that move most of the time. However, how facial movements affect 1 core aspect of face ability--holistic face processing--remains unclear. Here we investigated the influence of rigid facial motion on holistic and part-based…

  1. Contributions of Minimax Theory to Instructional Decision Making in Intelligent Tutoring Systems.

    Science.gov (United States)

    Vos, H. J.

    1999-01-01

    Formulates decision rules for adapting the appropriate amount of instruction to learning needs in intelligent-tutoring systems. Highlights include minimax decision theory (a minimum information approach), a binomial model, and a comparison of the Bayesian decision component in the Minnesota Adaptive Instructional System and the minimax strategy.…

  2. Effects of Computerized Decision Support Systems on Management of Atrial Fibrillation: A Scoping Review

    NARCIS (Netherlands)

    Sheibani, Reza; Nabovati, Ehsan; Sheibani, Mehdi; Abu-Hanna, Ameen; Heidari-Bakavoli, Alireza; Eslami, Saeid

    2017-01-01

    Potential role of computerized decision support system on management of atrial fibrillation is not well understood. To systematically review studies that evaluate the effects of computerized decision support systems and decision aids on aspects pertaining to atrial fibrillation. We searched Medline,

  3. Developing a Software for Fuzzy Group Decision Support System: A Case Study

    Science.gov (United States)

    Baba, A. Fevzi; Kuscu, Dincer; Han, Kerem

    2009-01-01

    The complex nature and uncertain information in social problems required the emergence of fuzzy decision support systems in social areas. In this paper, we developed user-friendly Fuzzy Group Decision Support Systems (FGDSS) software. The software can be used for multi-purpose decision making processes. It helps the users determine the main and…

  4. Exploring Procedural Decision Support Systems for Wicked Problem Resolution

    Directory of Open Access Journals (Sweden)

    Carianne Pretorius

    2017-07-01

    Full Text Available Wicked problems are hyper-complex problems that are not solvable via traditional methods. Some common examples of these include issues such as poverty, climate change, business strategy, and general policy development, which all have high stakes and no straightforward solution. The ambiguity of these problems can be particularly frustrating for the individuals and organizations that encounter them, as the very essence of these problems is elastic and unstable. Additionally, attempts to tame wicked problems tend to be irrevocable — for better or for worse — as the problem itself shifts in unpredictable ways in response. Decision support systems (DSSs have long been considered a panacea for a number of highly complex problems in light of their potential to store, retrieve, and manipulate information to aid decision making. However, classical DSSs, being originally intended for semi-structured types of problems, are rendered practically impotent in the presence of wicked problems and their associated complexities. Thus, this article investigates the possibility of DSSs that rely on procedural rationality as an alternative strategy for resolving wicked problems. An empirical literature review is utilized to build and present an integrated, descriptive model for the design, development, and use of such DSSs for resolving wicked problems.

  5. Comparing decision-support systems in adopting sustainable intensification criteria

    Directory of Open Access Journals (Sweden)

    Bouda eVosough Ahmadi

    2015-02-01

    Full Text Available Sustainable intensification (SI is a multifaceted concept incorporating the ambition to increase or maintain the current level of agricultural yields while reduce negative ecological and environmental impacts. Decision-support systems (DSS that use integrated analytical methods are often used to support decision making processes in agriculture. However, DSS often consist of set of values, objectives and assumptions that may be inconsistent or in conflict with merits and objectives of SI. These potential conflicts will have consequences for adoption and up-take of agricultural research, technologies and related policies and regulations such as genetic technology in pursuit of SI. This perspective paper aimed at comparing a number of frequently used socio-economic DSS with respect to their capacity in incorporating various dimensions of SI, and discussing their application to analyzing farm animal genetic resources (FAnGR policies. The case of FAnGR policies was chosen because of its great potential in delivering merits of SI. It was concluded that flexible DSS, with great integration capacity with various natural and social sciences, are needed to provide guidance on feasibility, practicality and policy implementation for SI.

  6. Comparing decision-support systems in adopting sustainable intensification criteria.

    Science.gov (United States)

    Ahmadi, Bouda Vosough; Moran, Dominic; Barnes, Andrew P; Baret, Philippe V

    2015-01-01

    Sustainable intensification (SI) is a multifaceted concept incorporating the ambition to increase or maintain the current level of agricultural yields while reduce negative ecological and environmental impacts. Decision-support systems (DSS) that use integrated analytical methods are often used to support decision making processes in agriculture. However, DSS often consist of set of values, objectives, and assumptions that may be inconsistent or in conflict with merits and objectives of SI. These potential conflicts will have consequences for adoption and up-take of agricultural research, technologies and related policies and regulations such as genetic technology in pursuit of SI. This perspective paper aimed at comparing a number of frequently used socio-economic DSS with respect to their capacity in incorporating various dimensions of SI, and discussing their application to analyzing farm animal genetic resources (FAnGR) policies. The case of FAnGR policies was chosen because of its great potential in delivering merits of SI. It was concluded that flexible DSS, with great integration capacity with various natural and social sciences, are needed to provide guidance on feasibility, practicality, and policy implementation for SI.

  7. Naval Fuel Management System (NFMS) a decision support system for a limited resource

    OpenAIRE

    Fallon, John E.

    2010-01-01

    Approved for public release; distribution is unlimited Includes supplemental material, embedded in this pdf. See page 46 of document to read instructions for accessing supplemental material. The fuel planning for U.S. Naval operations at sea is reactive and relies upon pen and paper calculations. Decisions on where and when to refuel are complex and need a Decision Support System (DSS) to help planners maximize the benefits of the limited fuel resource. This thesis defines requirement...

  8. Towards a Decision Support System for Space Flight Operations

    Science.gov (United States)

    Meshkat, Leila; Hogle, Charles; Ruszkowski, James

    2013-01-01

    The Mission Operations Directorate (MOD) at the Johnson Space Center (JSC) has put in place a Model Based Systems Engineering (MBSE) technological framework for the development and execution of the Flight Production Process (FPP). This framework has provided much added value and return on investment to date. This paper describes a vision for a model based Decision Support System (DSS) for the development and execution of the FPP and its design and development process. The envisioned system extends the existing MBSE methodology and technological framework which is currently in use. The MBSE technological framework currently in place enables the systematic collection and integration of data required for building an FPP model for a diverse set of missions. This framework includes the technology, people and processes required for rapid development of architectural artifacts. It is used to build a feasible FPP model for the first flight of spacecraft and for recurrent flights throughout the life of the program. This model greatly enhances our ability to effectively engage with a new customer. It provides a preliminary work breakdown structure, data flow information and a master schedule based on its existing knowledge base. These artifacts are then refined and iterated upon with the customer for the development of a robust end-to-end, high-level integrated master schedule and its associated dependencies. The vision is to enhance this framework to enable its application for uncertainty management, decision support and optimization of the design and execution of the FPP by the program. Furthermore, this enhanced framework will enable the agile response and redesign of the FPP based on observed system behavior. The discrepancy of the anticipated system behavior and the observed behavior may be due to the processing of tasks internally, or due to external factors such as changes in program requirements or conditions associated with other organizations that are outside of

  9. Support System Model for Value based Group Decision on Roof System Selection

    Directory of Open Access Journals (Sweden)

    Christiono Utomo

    2011-02-01

    Full Text Available A group decision support system is required on a value-based decision because there are different concern caused by differing preferences, experiences, and background. It is to enable each decision-maker to evaluate and rank the solution alternatives before engaging into negotiation with other decision-makers. Stakeholder of multi-criteria decision making problems usually evaluates the alternative solution from different perspective, making it possible to have a dominant solution among the alternatives. Each stakeholder needs to identify the goals that can be optimized and those that can be compromised in order to reach an agreement with other stakeholders. This paper presents group decision model involving three decision-makers on the selection of suitable system for a building’s roof. The objective of the research is to find an agreement options model and coalition algorithms for multi person decision with two main preferences of value which are function and cost. The methodology combines value analysis method using Function Analysis System Technique (FAST; Life Cycle Cost analysis, group decision analysis method based on Analytical Hierarchy Process (AHP in a satisfying options, and Game theory-based agent system to develop agreement option and coalition formation for the support system. The support system bridges theoretical gap between automated design in construction domain and automated negotiation in information technology domain by providing a structured methodology which can lead to systematic support system and automated negotiation. It will contribute to value management body of knowledge as an advanced method for creativity and analysis phase, since the practice of this knowledge is teamwork based. In the case of roof system selection, it reveals the start of the first negotiation round. Some of the solutions are not an option because no individual stakeholder or coalition of stakeholders desires to select it. The result indicates

  10. [Teaching patient-centered holistic care].

    Science.gov (United States)

    Wung, Hwang-Ling; Chen, Huei-Ling; Hwu, Yueh-Juen

    2007-06-01

    Nursing education aims to help students understand concepts and gain competencies in holistic care. The purpose of this paper was to present a nursing curriculum that adapted and introduced holistic care into an adult nursing curriculum taught at a university of science and technology. The course framework included both holistic and nursing domains. The holistic aspect addressed client physical psychological-spiritual needs and related factors, health related factors, and the status of Maslow's hierarchy of needs and related factors. The nursing aspect addressed the way in which nursing was applied to identify client problems and provide individualized, integrated and continuous care in hospital, family or community based settings employing primary, secondary, or tertiary prevention. Scenario with problem based learning and concept mapping were used in class to guide students to consider in depth the concepts that underpin holistic care.

  11. Adjudication Decision Support (ADS) System Automated Approval Estimates for NACLC Investigations

    National Research Council Canada - National Science Library

    Lang, Eric L; Youpa, Daniel G; Berman, Sandi; Leggitt, John S

    2007-01-01

    The present research is the second in a series of studies to test preliminary decision rules and provide automated approval estimates for a Department of Defense Adjudication Decision Support (ADS) system...

  12. Data Warehousing and Data Quality for a Spatial Decision Support System

    National Research Council Canada - National Science Library

    Dill, Robert

    1997-01-01

    .... The Army Reserve Installation Evaluation System (ARIES) integrates a GIS mapping engine and a decision model solver in a flexible environment that leverages operational legacy database information for decision-making...

  13. System and method for integrating hazard-based decision making tools and processes

    Science.gov (United States)

    Hodgin, C Reed [Westminster, CO

    2012-03-20

    A system and method for inputting, analyzing, and disseminating information necessary for identified decision-makers to respond to emergency situations. This system and method provides consistency and integration among multiple groups, and may be used for both initial consequence-based decisions and follow-on consequence-based decisions. The system and method in a preferred embodiment also provides tools for accessing and manipulating information that are appropriate for each decision-maker, in order to achieve more reasoned and timely consequence-based decisions. The invention includes processes for designing and implementing a system or method for responding to emergency situations.

  14. The Importance of Management Information Systems in Decision-Making Process in Najran University

    OpenAIRE

    Mohamed Sultan Mahasneh

    2015-01-01

    Management information systems is very important for organizations especially decision-making process. This study is to answer the question related to the Importance of Management Information Systems on Decision-Making Process in Najran University, by exploring the role of management information systems in providing the necessary information to make decisions, the role of management information systems in decisionmaking, exploring the relationship of management information systems with deci...

  15. Biomedicine or Holistic Medicine for Treating Mentally Ill Patients? A Philosophical and Economical Analysis

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2007-01-01

    Full Text Available Today we have two scientific medical traditions, two schools or treatment systems: holistic medicine and biomedicine. The two traditions are based on two very different philosophical positions: subjectivistic and objectivistic. The philosopher Buber taught us that you can say I-Thou or I-It, holding the other person as a subject or an object. These two fundamentally different attitudes seem to characterize the difference in world view and patient approach in the two schools, one coming from psychoanalysis and the old, holistic tradition of Hippocratic medicine. Holistic medicine during the last decade has developed its philosophical positions and is today an independent, medical system seemingly capable of curing mentally ill patients at the cost of a few thousand Euros with no side effects and with lasting value for the patient. The problem is that very few studies have tested the effect of holistic medicine on mentally ill patients. Another problem is that the effect of holistic medicine must be documented in a way that respects this school's philosophical integrity, allowing for subjective assessment of patient benefit and using the patient as his/her own control, as placebo control cannot be used in placebo-only treatment. As the existing data are strongly in favor of using holistic medicine, which seems to be safer, more efficient, and cheaper, it is recommended that clinical holistic medicine also be used as treatment for mental illness. More research and funding is needed to develop scientific holistic medicine.

  16. Applying a family systems lens to proxy decision making in clinical practice and research.

    Science.gov (United States)

    Rolland, John S; Emanuel, Linda L; Torke, Alexia M

    2017-03-01

    When patients are incapacitated and face serious illness, family members must make medical decisions for the patient. Medical decision sciences give only modest attention to the relationships among patients and their family members, including impact that these relationships have on the decision-making process. A review of the literature reveals little effort to systematically apply a theoretical framework to the role of family interactions in proxy decision making. A family systems perspective can provide a useful lens through which to understand the dynamics of proxy decision making. This article considers the mutual impact of family systems on the processes and outcomes of proxy decision making. The article first reviews medical decision science's evolution and focus on proxy decision making and then reviews a family systems approach, giving particular attention to Rolland's Family Systems Illness Model. A case illustrates how clinical practice and how research would benefit from bringing family systems thinking to proxy decisions. We recommend including a family systems approach in medical decision science research and clinical practices around proxy decisions making. We propose that clinical decisions could be less conflicted and less emotionally troubling for families and clinicians if family systems approaches were included. This perspective opens new directions for research and novel approaches to clinical care. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

  17. Visualization Component of Vehicle Health Decision Support System

    Science.gov (United States)

    Jacob, Joseph; Turmon, Michael; Stough, Timothy; Siegel, Herbert; Walter, patrick; Kurt, Cindy

    2008-01-01

    The visualization front-end of a Decision Support System (DSS) also includes an analysis engine linked to vehicle telemetry, and a database of learned models for known behaviors. Because the display is graphical rather than text-based, the summarization it provides has a greater information density on one screen for evaluation by a flight controller.This tool provides a system-level visualization of the state of a vehicle, and drill-down capability for more details and interfaces to separate analysis algorithms and sensor data streams. The system-level view is a 3D rendering of the vehicle, with sensors represented as icons, tied to appropriate positions within the vehicle body and colored to indicate sensor state (e.g., normal, warning, anomalous state, etc.). The sensor data is received via an Information Sharing Protocol (ISP) client that connects to an external server for real-time telemetry. Users can interactively pan, zoom, and rotate this 3D view, as well as select sensors for a detail plot of the associated time series data. Subsets of the plotted data can be selected and sent to an external analysis engine to either search for a similar time series in an historical database, or to detect anomalous events. The system overview and plotting capabilities are completely general in that they can be applied to any vehicle instrumented with a collection of sensors. This visualization component can interface with the ISP for data streams used by NASA s Mission Control Center at Johnson Space Center. In addition, it can connect to, and display results from, separate analysis engine components that identify anomalies or that search for past instances of similar behavior. This software supports NASA's Software, Intelligent Systems, and Modeling element in the Exploration Systems Research and Technology Program by augmenting the capability of human flight controllers to make correct decisions, thus increasing safety and reliability. It was designed specifically as a

  18. A medical informatics perspective on decision support systems. Findings from the yearbook 2012 section on decision support.

    Science.gov (United States)

    Ruch, P

    2012-01-01

    To summarize current excellent research in the field of computer-based decision support systems in health and healthcare. We provide a synopsis of the articles selected for the IMIA Yearbook 2012, from which we attempt to draft a synthetic overview of the activity and new trends in the field. While the state of the research in the field of medical decision support systems is illustrated by a set of fairly heterogeneous studies, it is possible to identify fundamental aspects of the fields, e.g. Decision Support Systems for Computerized Provider Order Entry, both for physicians and pharmacists, as well as more specific developments such as instruments to improve processing of data related to Clinical Trials and applications to capture family health history. The best paper selection of articles on decision support shows examples of excellent research on methods concerning original development as well as quality assurance of previously reported studies. This selected set of scientific investigations clearly question the way decision support systems are deployed in clinical environments as these systems seem to have little impact on patient safety and even could harm the patient. Furthermore, while significant research efforts are invested into translational & "omics" medicine, it is interesting to observe that simple data capture applications can reasonably lead to positive changes in healthcare.

  19. How Decision Support Systems Can Benefit from a Theory of Change Approach.

    Science.gov (United States)

    Allen, Will; Cruz, Jennyffer; Warburton, Bruce

    2017-06-01

    Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

  20. How Decision Support Systems Can Benefit from a Theory of Change Approach

    Science.gov (United States)

    Allen, Will; Cruz, Jennyffer; Warburton, Bruce

    2017-06-01

    Decision support systems are now mostly computer and internet-based information systems designed to support land managers with complex decision-making. However, there is concern that many environmental and agricultural decision support systems remain underutilized and ineffective. Recent efforts to improve decision support systems use have focused on enhancing stakeholder participation in their development, but a mismatch between stakeholders' expectations and the reality of decision support systems outputs continues to limit uptake. Additional challenges remain in problem-framing and evaluation. We propose using an outcomes-based approach called theory of change in conjunction with decision support systems development to support both wider problem-framing and outcomes-based monitoring and evaluation. The theory of change helps framing by placing the decision support systems within a wider context. It highlights how decision support systems use can "contribute" to long-term outcomes, and helps align decision support systems outputs with these larger goals. We illustrate the benefits of linking decision support systems development and application with a theory of change approach using an example of pest rabbit management in Australia. We develop a theory of change that outlines the activities required to achieve the outcomes desired from an effective rabbit management program, and two decision support systems that contribute to specific aspects of decision making in this wider problem context. Using a theory of change in this way should increase acceptance of the role of decision support systems by end-users, clarify their limitations and, importantly, increase effectiveness of rabbit management. The use of a theory of change should benefit those seeking to improve decision support systems design, use and, evaluation.

  1. Decision Support System for Reservoir Management and Operation in Africa

    Science.gov (United States)

    Navar, D. A.

    2016-12-01

    Africa is currently experiencing a surge in dam construction for flood control, water supply and hydropower production, but ineffective reservoir management has caused problems in the region, such as water shortages, flooding and loss of potential hydropower generation. Our research aims to remedy ineffective reservoir management by developing a novel Decision Support System(DSS) to equip water managers with a technical planning tool based on the state of the art in hydrological sciences. The DSS incorporates a climate forecast model, a hydraulic model of the watershed, and an optimization model to effectively plan for the operation of a system of cascade large-scale reservoirs for hydropower production, while treating water supply and flood control as constraints. Our team will use the newly constructed hydropower plants in the Omo Gibe basin of Ethiopia as the test case. Using the basic HIDROTERM software developed in Brazil, the General Algebraic Modeling System (GAMS) utilizes a combination of linear programing (LP) and non-linear programming (NLP) in conjunction with real time hydrologic and energy demand data to optimize the monthly and daily operations of the reservoir system. We compare the DSS model results with the current reservoir operating policy used by the water managers of that region. We also hope the DSS will eliminate the current dangers associated with the mismanagement of large scale water resources projects in Africa.

  2. Decision Support System for Aquifer Recharge (AR) and ...

    Science.gov (United States)

    Aquifer recharge (AR) is a technical method being utilized to enhance groundwater resources through man-made replenishment means, such as infiltration basins and injections wells. Aquifer storage and recovery (ASR) furthers the AR techniques by withdrawal of stored groundwater at a later time for beneficial use. It is a viable adaptation technique for water availability problems. Variants of the water storage practices include recharge through urban green infrastructure and the subsurface injection of reclaimed water, i.e., wastewater, which has been treated to remove solids and impurities. In addition to a general overview of ASR variations, this report focuses on the principles and technical basis for an ASR decision support system (DSS), with the necessary technical references provided. The DSS consists of three levels of tools and methods for ASR system planning and assessment, design, and evaluation. Level 1 of the system is focused on ASR feasibility, for which four types of data and technical information are organized around: 1) ASR regulations and permitting needs, 2) Water demand projections, 3) Climate change and water availability, and 4) ASR sites and technical information. These technical resources are integrated to quantify water availability gaps and the feasibility of using ASR to meet the volume and timing of the water resource shortages. A systemic analysis of water resources was conducted for sustainable water supplies in Las Vegas, Nevada f

  3. Multi-Criteria Spatial Decision Support System DECERNS: Application to Land Use Planning

    OpenAIRE

    B. Yatsalo; Didenko, V.; Tkachuk, A; G. Gritsyuk; O. Mirzeabasov; V. Slipenkaya; A. Babutski; I. Pichugina; Sullivan, T.; I. Linkov

    2010-01-01

    Land-use planning and environmental management often requires an implementation of both geoyspatial information analysis and value-driven criteria within the decision-making process. DECERNS (Decision Evaluation in Complex Risk Network Systems) is a web-based distributed decision support system for multicriteria analysis of a wide range of spatially-explicit land management alternatives. It integrates mainly basic and some advanced GIS functions and implements several Multi-Criteria Decision ...

  4. Intelligent decision support systems for sustainable computing paradigms and applications

    CERN Document Server

    Abraham, Ajith; Siarry, Patrick; Sheng, Michael

    2017-01-01

    This unique book dicusses the latest research, innovative ideas, challenges and computational intelligence (CI) solutions in sustainable computing. It presents novel, in-depth fundamental research on achieving a sustainable lifestyle for society, either from a methodological or from an application perspective. Sustainable computing has expanded to become a significant research area covering the fields of computer science and engineering, electrical engineering and other engineering disciplines, and there has been an increase in the amount of literature on aspects sustainable computing such as energy efficiency and natural resources conservation that emphasizes the role of ICT (information and communications technology) in achieving system design and operation objectives. The energy impact/design of more efficient IT infrastructures is a key challenge in realizing new computing paradigms. The book explores the uses of computational intelligence (CI) techniques for intelligent decision support that can be explo...

  5. Decision Support System for Blockage Management in Fire Service

    Directory of Open Access Journals (Sweden)

    Krasuski Adam

    2014-08-01

    Full Text Available In this article we present the foundations of a decision support system for blockage management in Fire Service. Blockage refers to the situation when all fire units are out and a new incident occurs. The approach is based on two phases: off-line data preparation and online blockage estimation. The off-line phase consists of methods from data mining and natural language processing and results in semantically coherent information granules. The online phase is about building the probabilistic models that estimate the block-age probability based on these granules. Finally, the selected classifier judges whether a blockage can occur and whether the resources from neighbour fire stations should be asked for assistance.

  6. Ecological user interface for emergency management decision support systems

    DEFF Research Database (Denmark)

    Andersen, V.

    2003-01-01

    The user interface for decision support systems is normally structured for presenting relevant data for the skilled user in order to allow fast assessment and action of the hazardous situation, or for more complex situations to present the relevant rules and procedures to be followed in order...... to deal most efficiently with the situation. For situations not foreseen, however, no rules exist, and no support may be given to the user by suggested actions to be fulfilled. The idea of ecological user interface is to present to the user the complete situation at various interrelated levels...... of abstraction supporting the situation assessment and remedial actions based on the domain knowledge of the user. The concept of ecological user interface has been tested and appreciated in a variety of other domains using prototypes designed to be representative of industrial processes. The purpose...

  7. Decision support systems and methods for complex networks

    Science.gov (United States)

    Huang, Zhenyu [Richland, WA; Wong, Pak Chung [Richland, WA; Ma, Jian [Richland, WA; Mackey, Patrick S [Richland, WA; Chen, Yousu [Richland, WA; Schneider, Kevin P [Seattle, WA

    2012-02-28

    Methods and systems for automated decision support in analyzing operation data from a complex network. Embodiments of the present invention utilize these algorithms and techniques not only to characterize the past and present condition of a complex network, but also to predict future conditions to help operators anticipate deteriorating and/or problem situations. In particular, embodiments of the present invention characterize network conditions from operation data using a state estimator. Contingency scenarios can then be generated based on those network conditions. For at least a portion of all of the contingency scenarios, risk indices are determined that describe the potential impact of each of those scenarios. Contingency scenarios with risk indices are presented visually as graphical representations in the context of a visual representation of the complex network. Analysis of the historical risk indices based on the graphical representations can then provide trends that allow for prediction of future network conditions.

  8. SERVIR: A Regional Monitoring and Decision Support System for Mesoamerica

    Science.gov (United States)

    Irwin, D.; Hardin, D. M.; Sever, T.; Graves, S.

    2008-05-01

    Mesoamerica is a prime example of a multi-national region with natural and human induced stresses that benefits from information provided by observation systems. The region is severely threatened by extensive deforestation, illegal logging, water pollution, and uncontrolled slash and burn agriculture. Additionally, Mesoamerica's distinct geology and geography result in disproportionate vulnerability of its population to natural disasters such as earthquakes, hurricanes, drought, and volcanic eruptions. NASA Marshall Space Flight Center, the University of Alabama in Huntsville and numerous SERVIR* partners are developing data products, knowledge extraction methods and decision support tools for environmental monitoring, disaster response and sustainable growth planning in Mesoamerica. The combination of space- based observations from NASA's Earth Observing Satellites with information management and knowledge extraction technologies has yielded a robust system for use by scientists, educators, environmental ministers and policy makers. These resources enhance the ability to monitor and forecast ecological changes, respond to natural disasters and better understand both natural and human induced effects. Now in its fourth year SERVIR has become a partner in the International Space and Major Disasters Charter. In the past year the Charter provided commercial satellite imagery to aid in disaster response to Hurricanes Dean, Felix and Noel. Overcoming roadblocks to coordination and data sharing between countries, organizations and disciplines SERVIR is providing environmental monitoring and decision support products and applications that directly map to several Observation GEOSS societal benefit areas. This paper provides an overview of the ongoing accomplishments of the SERVIR project. *SERVIR is a Spanish verb meaning "to serve" or "be useful" is also an acronym for the Spanish name of the capability: Sistema Regional de Visualizacion y Monitero.

  9. CLIPS based decision support system for water distribution networks

    Directory of Open Access Journals (Sweden)

    K. Sandeep

    2011-10-01

    Full Text Available The difficulty in knowledge representation of a water distribution network (WDN problem has contributed to the limited use of artificial intelligence (AI based expert systems (ES in the management of these networks. This paper presents a design of a Decision Support System (DSS that facilitates "on-demand'' knowledge generation by utilizing results of simulation runs of a suitably calibrated and validated hydraulic model of an existing aged WDN corresponding to emergent or even hypothetical but likely scenarios. The DSS augments the capability of a conventional expert system by integrating together the hydraulic modelling features with heuristics based knowledge of experts under a common, rules based, expert shell named CLIPS (C Language Integrated Production System. In contrast to previous ES, the knowledge base of the DSS has been designed to be dynamic by superimposing CLIPS on Structured Query Language (SQL. The proposed ES has an inbuilt calibration module that enables calibration of an existing (aged WDN for the unknown, and unobservable, Hazen-Williams C-values. In addition, the daily run and simulation modules of the proposed ES further enable the CLIPS inference engine to evaluate the network performance for any emergent or suggested test scenarios. An additional feature of the proposed design is that the DSS integrates computational platforms such as MATLAB, open source Geographical Information System (GIS, and a relational database management system (RDBMS working under the umbrella of the Microsoft Visual Studio based common user interface. The paper also discusses implementation of the proposed framework on a case study and clearly demonstrates the utility of the application as an able aide for effective management of the study network.

  10. Multicriterial Methods used in Expert Systems for Business Decision Making

    Directory of Open Access Journals (Sweden)

    Cornelia MUNTEAN

    2010-01-01

    Full Text Available Many organizations are in front of most competitive economic environments, where, in order to survive, they must reduce costs all the time and adopt the most intelligent business strategies. In most decision making activities the manager has to decide which variant is the most advantageous, taking into account a multitude of criterions. Expert systems use the expert's knowledge and problem solving skills in a particular subject area throughout an organization, and can propose the optimal variant to be chosen. In this paper we have outlined the role of multicriterial methods in programming expert systems to decide in favor of the most eligible variant between a multitude of possibilities. We also made a case study and designed the prototype of an expert system for choosing the most profitable offer among many, in the prenegotiation stage, for a company, in order to organize the negotiation processes accor-dingly. In this respect, we tried to highlight the usefulness of multicriterial mathematical me-thods in three negotiation processes of a Romanian negotiation team with foreign negotiation teams for the acquisition of an equipment.

  11. A TEMPORAL FRAMEWORK EMBEDDED IN DECISION MAKING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Vasile MAZILESCU

    2014-06-01

    Full Text Available This paper shows that the influence of knowledge on new forms of work organisation can be described as mutual relationships. Different changes in work organisation also have a strong influence on the increasing importance of knowledge of different individual and collective actors in working situations. After that, we characterize a piece of basic formal system, an Extended Fuzzy Logic System (EFLS with temporal attributes, to conceptualize Distributed Knowledge Management Systems (DKMSs based on human imprecise for distributed just in time decisions. The approximate reasoning is perceived as a derivation of new formulas with the corresponding temporal attributes, within a fuzzy theory defined by the fuzzy set of special axioms. In a management application like the prototype REFK2, the reasoning is evolutionary because of unexpected events which may change the state of the DKMS. In this kind of situations it is necessary to elaborate certain mechanisms in order to maintain the coherence of the obtained conclusions, to figure out their degree of reliability and the time domain for which these are true. These last aspects stand as possible further directions of development at a basic logic level for future technologies that must automate knowledge organizational processes.

  12. Decision Support for Diabetes in Scotland: Implementation and Evaluation of a Clinical Decision Support System.

    Science.gov (United States)

    Conway, Nicholas; Adamson, Karen A; Cunningham, Scott G; Emslie Smith, Alistair; Nyberg, Peter; Smith, Blair H; Wales, Ann; Wake, Deborah J

    2017-09-01

    Automated clinical decision support systems (CDSS) are associated with improvements in health care delivery to those with long-term conditions, including diabetes. A CDSS was introduced to two Scottish regions (combined diabetes population ~30 000) via a national diabetes electronic health record. This study aims to describe users' reactions to the CDSS and to quantify impact on clinical processes and outcomes over two improvement cycles: December 2013 to February 2014 and August 2014 to November 2014. Feedback was sought via patient questionnaires, health care professional (HCP) focus groups, and questionnaires. Multivariable regression was used to analyze HCP SCI-Diabetes usage (with respect to CDSS message presence/absence) and case-control comparison of clinical processes/outcomes. Cases were patients whose HCP received a CDSS messages during the study period. Closely matched controls were selected from regions outside the study, following similar clinical practice (without CDSS). Clinical process measures were screening rates for diabetes-related complications. Clinical outcomes included HbA1c at 1 year. The CDSS had no adverse impact on consultations. HCPs were generally positive toward CDSS and used it within normal clinical workflow. CDSS messages were generated for 5692 cases, matched to 10 667 controls. Following clinic, the probability of patients being appropriately screened for complications more than doubled for most measures. Mean HbA1c improved in cases and controls but more so in cases (-2.3 mmol/mol [-0.2%] versus -1.1 [-0.1%], P = .003). The CDSS was well received; associated with improved efficiencies in working practices; and large improvements in guideline adherence. These evidence-based, early interventions can significantly reduce costly and devastating complications.

  13. Developing a holistic understanding of workplace health: the case of bank workers.

    Science.gov (United States)

    Dugdill, L

    2000-10-01

    Understanding health in the workplace from a holistic perspective requires appropriate research approaches. An exploratory, qualitative study with white-collar employees from a large banking organization in the North West of England is detailed here. The aim was to explore health from the perspective of the employee. Semi-structured interviews (n = 29) elicited detailed responses, allowing the relationship between psychosocial and lifestyle factors to be examined. Psychosocial factors such as job design, ability to make decisions and control over work were all reported to be positive contributors to health in the work setting - and often were reported to be more relevant than individual lifestyle issues. A more holistic approach to developing workplace health programmes in the future is recommended, which allows the workplace setting to be considered as a complex system. Very few comprehensive workplace health programmes exist at present within UK organizations, and there is a tendency for programmes to be designed by the health professional 'expert' rather than developed in conjunction with, and by the workforce. It is argued that qualitative research methods can help to begin the dialogue needed for workplace health programme development.

  14. Holistic face processing can inhibit recognition of forensic facial composites.

    Science.gov (United States)

    McIntyre, Alex H; Hancock, Peter J B; Frowd, Charlie D; Langton, Stephen R H

    2016-04-01

    Facial composite systems help eyewitnesses to show the appearance of criminals. However, likenesses created by unfamiliar witnesses will not be completely accurate, and people familiar with the target can find them difficult to identify. Faces are processed holistically; we explore whether this impairs identification of inaccurate composite images and whether recognition can be improved. In Experiment 1 (n = 64) an imaging technique was used to make composites of celebrity faces more accurate and identification was contrasted with the original composite images. Corrected composites were better recognized, confirming that errors in production of the likenesses impair identification. The influence of holistic face processing was explored by misaligning the top and bottom parts of the composites (cf. Young, Hellawell, & Hay, 1987). Misalignment impaired recognition of corrected composites but identification of the original, inaccurate composites significantly improved. This effect was replicated with facial composites of noncelebrities in Experiment 2 (n = 57). We conclude that, like real faces, facial composites are processed holistically: recognition is impaired because unlike real faces, composites contain inaccuracies and holistic face processing makes it difficult to perceive identifiable features. This effect was consistent across composites of celebrities and composites of people who are personally familiar. Our findings suggest that identification of forensic facial composites can be enhanced by presenting composites in a misaligned format. (c) 2016 APA, all rights reserved).

  15. Decision Support System and Customer Relationship Management as Components of the Cybernetic System Enterprise

    Directory of Open Access Journals (Sweden)

    Ruxandra MISDOLEA

    2010-01-01

    Full Text Available This study analyzes the role played by the information system and its component, the software system, in a larger system - the Enterprise. In this context, the paper focuses on the structure of Decision Support System and Customer Relationship Management and their benefits in the functioning of the global system, by examining the conditions of implementation of these tools in the organization. We will show that used independently these tools offer reduced services, but when interconnected, they become a very powerful tool for command and control. Viability, evolution and autonomy requested by users for their information system are obtained more easily by a systemic-cybernetic approach to the Enterprise.

  16. Development of a decision support system for analysis and solutions of prolonged standing in the workplace.

    Science.gov (United States)

    Halim, Isa; Arep, Hambali; Kamat, Seri Rahayu; Abdullah, Rohana; Omar, Abdul Rahman; Ismail, Ahmad Rasdan

    2014-06-01

    Prolonged standing has been hypothesized as a vital contributor to discomfort and muscle fatigue in the workplace. The objective of this study was to develop a decision support system that could provide systematic analysis and solutions to minimize the discomfort and muscle fatigue associated with prolonged standing. The integration of object-oriented programming and a Model Oriented Simultaneous Engineering System were used to design the architecture of the decision support system. Validation of the decision support system was carried out in two manufacturing companies. The validation process showed that the decision support system produced reliable results. The decision support system is a reliable advisory tool for providing analysis and solutions to problems related to the discomfort and muscle fatigue associated with prolonged standing. Further testing of the decision support system is suggested before it is used commercially.

  17. The changing nature of clinical decision support systems: a focus on consumers, genomics, public health and decision safety.

    Science.gov (United States)

    Coiera, E; Lau, A Y S; Tsafnat, G; Sintchenko, V; Magrabi, F

    2009-01-01

    To review the recent research literature in clinical decision support systems (CDSS). A review of recent literature was undertaken, focussing on CDSS evaluation, consumers and public health, the impact of translational bioinformatics on CDSS design, and CDSS safety. In recent years, researchers have concentrated much less on the development of decision technologies, and have focussed more on the impact of CDSS in the clinical world. Recent work highlights that traditional process measures of CDSS effectiveness, such as document relevance are poor proxy measures for decision outcomes. Measuring the dynamics of decision making, for example via decision velocity, may produce a more accurate picture of effectiveness. Another trend is the broadening of user base for CDSS beyond front line clinicians. Consumers are now a major focus for biomedical informatics, as are public health officials, tasked with detecting and managing disease outbreaks at a health system, rather than individual patient level. Bioinformatics is also changing the nature of CDSS. Apart from personalisation of therapy recommendations, translational bioinformatics is creating new challenges in the interpretation of the meaning of genetic data. Finally, there is much recent interest in the safety and effectiveness of computerised physician order entry (CPOE) systems, given that prescribing and administration errors are a significant cause of morbidity and mortality. Of note, there is still much controversy surrounding the contention that poorly designed, implemented or used CDSS may actually lead to harm. CDSS research remains an active and evolving area of research, as CDSS penetrate more widely beyond their traditional domain into consumer decision support, and as decisions become more complex, for example by involving sequence level genetic data.

  18. Creating a Holistic Extractables and Leachables (E&L) Program for Biotechnology Products.

    Science.gov (United States)

    Li, Kim; Rogers, Gary; Nashed-Samuel, Yasser; Lee, Hans; Mire-Sluis, Anthony; Cherney, Barry; Forster, Ronald; Yeh, Ping; Markovic, Ingrid

    2015-01-01

    The risk mitigation of extractables and leachables presents significant challenges to regulators and drug manufacturers with respect to the development, as well as the lifecycle management, of drug products. A holistic program is proposed, using a science- and risk-based strategy for testing extractables and leachables from primary containers, drug delivery devices, and single-use systems for the manufacture of biotechnology products. The strategy adopts the principles and concepts from ICH Q9 and ICH Q8(R2). The strategy is phase-appropriate, progressing from extractables testing for material screening/selection/qualification through leachables testing of final products. The strategy is designed primarily to ensure patient safety and product quality of biotechnology products. The holistic program requires robust extraction studies using model solvents, with careful consideration of solvation effect, pH, ionic strength, temperature, and product-contact surface and duration. From a wide variety of process- and product-contact materials, such extraction studies have identified and quantified over 200 organic extractable compounds. The most commonly observed compounds were siloxanes, fatty acid amides, and methacrylates. Toxicology assessments were conducted on these compounds using risk-based decision analysis. Parenteral permitted daily exposure limits were derived, as appropriate, for the majority of these compounds. Analysis of the derived parenteral permitted daily exposure limits helped to establish action thresholds to target high-risk leachables in drug products on stability until expiry. Action thresholds serve to trigger quality investigations to determine potential product impact. The holistic program also evaluates the potential risk for immunogenicity. This approach for primary drug containers and delivery devices is also applicable to single-use systems when justified with a historical knowledge base and understanding of the manufacturing processes of

  19. History taking and physical assessment in holistic palliative care.

    Science.gov (United States)

    Donnelly, Marie; Martin, Daphne

    2016-12-08

    In carrying out a holistic palliative care assessment the palliative care clinical nurse specialist needs to develop the knowledge and skill of history taking and health assessment to make safe and competent decisions with patients regarding the future management of their care. This article examines this process in making a differential diagnosis with particular reference to the respiratory physical examination of a patient with a history of lung cancer using the Calgary-Cambridge Model. The model gives structure to the preparation, history taking, and physical examination (inspection, palpation, percussion and auscultation) before explaining, planning and closing the consultation, while considering the palliative patient's and family's individual wishes and goals.

  20. Exploration Clinical Decision Support System: Medical Data Architecture

    Science.gov (United States)

    Lindsey, Tony; Shetye, Sandeep; Shaw, Tianna (Editor)

    2016-01-01

    The Exploration Clinical Decision Support (ECDS) System project is intended to enhance the Exploration Medical Capability (ExMC) Element for extended duration, deep-space mission planning in HRP. A major development guideline is the Risk of "Adverse Health Outcomes & Decrements in Performance due to Limitations of In-flight Medical Conditions". ECDS attempts to mitigate that Risk by providing crew-specific health information, actionable insight, crew guidance and advice based on computational algorithmic analysis. The availability of inflight health diagnostic computational methods has been identified as an essential capability for human exploration missions. Inflight electronic health data sources are often heterogeneous, and thus may be isolated or not examined as an aggregate whole. The ECDS System objective provides both a data architecture that collects and manages disparate health data, and an active knowledge system that analyzes health evidence to deliver case-specific advice. A single, cohesive space-ready decision support capability that considers all exploration clinical measurements is not commercially available at present. Hence, this Task is a newly coordinated development effort by which ECDS and its supporting data infrastructure will demonstrate the feasibility of intelligent data mining and predictive modeling as a biomedical diagnostic support mechanism on manned exploration missions. The initial step towards ground and flight demonstrations has been the research and development of both image and clinical text-based computer-aided patient diagnosis. Human anatomical images displaying abnormal/pathological features have been annotated using controlled terminology templates, marked-up, and then stored in compliance with the AIM standard. These images have been filtered and disease characterized based on machine learning of semantic and quantitative feature vectors. The next phase will evaluate disease treatment response via quantitative linear

  1. A Short History of Clinical Holistic Medicine

    Directory of Open Access Journals (Sweden)

    Søren Ventegodt

    2007-01-01

    Full Text Available Clinical holistic medicine has its roots in the medicine and tradition of Hippocrates. Modern epidemiological research in quality of life, the emerging science of complementary and alternative medicine, the tradition of psychodynamic therapy, and the tradition of bodywork are merging into a new scientific way of treating patients. This approach seems able to help every second patient with physical, mental, existential or sexual health problem in 20 sessions over one year. The paper discusses the development of holistic medicine into scientific holistic medicine with discussion of future research efforts.

  2. A short history of clinical holistic medicine.

    Science.gov (United States)

    Ventegodt, Søren; Kandel, Isack; Merrick, Joav

    2007-10-05

    Clinical holistic medicine has its roots in the medicine and tradition of Hippocrates. Modern epidemiological research in quality of life, the emerging science of complementary and alternative medicine, the tradition of psychodynamic therapy, and the tradition of bodywork are merging into a new scientific way of treating patients. This approach seems able to help every second patient with physical, mental, existential or sexual health problem in 20 sessions over one year. The paper discusses the development of holistic medicine into scientific holistic medicine with discussion of future research efforts.

  3. Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System

    OpenAIRE

    Mert Bal; M. Fatih Amasyali; Hayri Sever; Guven Kose; Ayse Demirhan

    2014-01-01

    The importance of the decision support systems is increasingly supporting the decision making process in cases of uncertainty and the lack of information and they are widely used in various fields like engineering, finance, medicine, and so forth, Medical decision support systems help the healthcare personnel to select optimal method during the treatment of the patients. Decision support systems are intelligent software systems that support decision makers on their decisions. The design of de...

  4. Decision support system emergency planning, creating evacuation strategies in the event of flooding

    NARCIS (Netherlands)

    Windhouwer, C.J.; Klunder, G.A.; Sanders, F.M.

    2005-01-01

    The Decision Support System (DSS) Emergency Planning is designed for use in the event of sea or river flooding. It makes accessible all the information related to the decision whether to evacuate an area. An important factor in this decision is the time required for the evacuation. The model used by

  5. Executable Behavioral Modeling of System and Software Architecture Specifications to Inform Resourcing Decisions

    Science.gov (United States)

    2016-09-01

    BEHAVIORAL MODELING OF SYSTEM- AND SOFTWARE- ARCHITECTURE SPECIFICATIONS TO INFORM RESOURCING DECISIONS by Monica F. Farah-Stapleton...AND SOFTWARE- ARCHITECTURE SPECIFICATIONS TO INFORM RESOURCING DECISIONS 5. FUNDING NUMBERS 6. AUTHOR(S) Monica F. Farah-Stapleton 7. PERFORMING...intellectual, programmatic, and organizational resources. Precise behavioral modeling offers a way to assess architectural design decisions prior to

  6. The Wildland Fire Decision Support System: Integrating science, technology, and fire management

    Science.gov (United States)

    Morgan Pence; Tom Zimmerman

    2011-01-01

    Federal agency policy requires documentation and analysis of all wildland fire response decisions. In the past, planning and decision documentation for fires were completed using multiple unconnected processes, yielding many limitations. In response, interagency fire management executives chartered the development of the Wildland Fire Decision Support System (WFDSS)....

  7. Design of an Officer Assignment and Career Planning Decision Support System for Electronic Security Command

    Science.gov (United States)

    1988-12-01

    vii Abstract .............................. viii I. Introduction ......................... 1 Air Force Assignment Guidelines ............. 1 Air Force...PLANNING DECISION SUPPORT SYSTEM FOR ELECTRONIC SEORITY COMMAND I. Introduction Air Force Assionment Guidelines The primary objective of the officer...to multiple-criteria decision making (MC)M): 1) Multi-attribute decision analysis (MADA), which "is the descriptive version of MCDM " and 2) rulti

  8. Making the Library Management Systems Acquisition: Achieving Resolution of a Tough Decision.

    Science.gov (United States)

    Bell, Steven J.; Cronin-Kardon, Cynthia

    1998-01-01

    Offers exploratory research on the automation decision process for library administrators who are considering a new library management system (LMS) and those factors that lead to decision difficulty. Using the Garbage Can Model of Organizational Choice as a theoretical framework for LMS, this study uses decision resolution as a criterion of…

  9. Strategic Planning and Decision Analysis: Presentation of the COSIMA Software System

    DEFF Research Database (Denmark)

    This paper presents a composite decision support system, COSIMA, programmed in MS Excel. COSIMA provides assistance to the decision maker as concerns complex decisions and strategic planning. The COSIMA software is designed as interconnected modules which make it possible to conduct Cost...

  10. A proposal for evaluating the validity of holistic-based admission processes.

    Science.gov (United States)

    Kreiter, Clarence D

    2013-01-01

    BACKGROUND. Admission decisions require that information about an applicant be combined using either holistic (human judges) or statistical (actuarial) methods. For optimizing a defined measureable outcome, there is a consistent body of research evidence demonstrating that statistical methods yield superior decisions compared to those generated by judges. It is possible, however, that the benefits of holistic decisions are reflected in unmeasured outcomes. If such benefits exist, they would necessarily appear as systematic variance in raters' scores that deviate from statistically-based decisions. PURPOSE. To estimate this variance, we propose a design examining the interrater reliability of difference scores (i.e., the difference between observed committee rankings and rankings based on statistical approaches). METHODS. Example calculations and G study models are presented to demonstrate how rater agreement on difference scores can be analyzed under various circumstances. High interrater reliability of difference scores would support but not prove the assertion that the holistic process adds useful information beyond that achieved by much less costly statistical approaches. Conversely, if the interrater reliability of difference scores is near zero, this would clearly demonstrate that committee judgments add random error to the decision process. RESULTS. Evidence to conduct such studies already exists within most highly selective medical schools and graduate programs and the proposed validity research could be conducted on existing data. CONCLUSIONS. Such research evidence is critical for establishing the validity of widely used holistic admission approaches.

  11. Features of computerized clinical decision support systems supportive of nursing practice: a literature review.

    Science.gov (United States)

    Lee, Seonah

    2013-10-01

    This study aimed to organize the system features of decision support technologies targeted at nursing practice into assessment, problem identification, care plans, implementation, and outcome evaluation. It also aimed to identify the range of the five stage-related sequential decision supports that computerized clinical decision support systems provided. MEDLINE, CINAHL, and EMBASE were searched. A total of 27 studies were reviewed. The system features collected represented the characteristics of each category from patient assessment to outcome evaluation. Several features were common across the reviewed systems. For the sequential decision support, all of the reviewed systems provided decision support in sequence for patient assessment and care plans. Fewer than half of the systems included problem identification. There were only three systems operating in an implementation stage and four systems in outcome evaluation. Consequently, the key steps for sequential decision support functions were initial patient assessment, problem identification, care plan, and outcome evaluation. Providing decision support in such a full scope will effectively help nurses' clinical decision making. By organizing the system features, a comprehensive picture of nursing practice-oriented computerized decision support systems was obtained; however, the development of a guideline for better systems should go beyond the scope of a literature review.

  12. Building consensus in strategic decision-making : system dynamics as a group support system

    OpenAIRE

    Vennix, J.A.M.

    1995-01-01

    System dynamics was originally founded as a method for modeling and simulating the behavior of industrial systems. In recent years it is increasingly employed as a Group Support System for strategic decision-making groups. The model is constructed in direct interaction with a management team, and the procedure is generally referred to as group model-building. The model can be conceptual (qualitative) or a full-blown (quantitative) computer simulation model. In this article, a case is describe...

  13. Streamlining the Discovery, Evaluation, and Integration of Data, Models, and Decision Support Systems: a Big Picture View

    Science.gov (United States)

    21st century environmental problems are wicked and require holistic systems thinking and solutions that integrate social and economic knowledge with knowledge of the environment. Computer-based technologies are fundamental to our ability to research and understand the relevant sy...

  14. Illuminating Tradespace Decisions Using Efficient Experimental Space-Filling Designs for the Engineered Resilient System Architecture

    Science.gov (United States)

    2015-06-30

    decision analysis ( MODA ) to help inform the design decision. We use an additive value model that incorporates a composite perspective of multiple...stakeholders and competing objectives. We use the philosophy of value-focused thinking and the mathematics of MODA to arrive at a final design decision...identify a narrow set of viable system alternatives. The set of alternatives are then analyzed using multi-objective decision analysis ( MODA ) models

  15. Computer aided decision support system for cervical cancer classification

    Science.gov (United States)

    Rahmadwati, Rahmadwati; Naghdy, Golshah; Ros, Montserrat; Todd, Catherine

    2012-10-01

    Conventional analysis of a cervical histology image, such a pap smear or a biopsy sample, is performed by an expert pathologist manually. This involves inspecting the sample for cellular level abnormalities and determining the spread of the abnormalities. Cancer is graded based on the spread of the abnormal cells. This is a tedious, subjective and time-consuming process with considerable variations in diagnosis between the experts. This paper presents a computer aided decision support system (CADSS) tool to help the pathologists in their examination of the cervical cancer biopsies. The main aim of the proposed CADSS system is to identify abnormalities and quantify cancer grading in a systematic and repeatable manner. The paper proposes three different methods which presents and compares the results using 475 images of cervical biopsies which include normal, three stages of pre cancer, and malignant cases. This paper will explore various components of an effective CADSS; image acquisition, pre-processing, segmentation, feature extraction, classification, grading and disease identification. Cervical histological images are captured using a digital microscope. The images are captured in sufficient resolution to retain enough information for effective classification. Histology images of cervical biopsies consist of three major sections; background, stroma and squamous epithelium. Most diagnostic information are contained within the epithelium region. This paper will present two levels of segmentations; global (macro) and local (micro). At the global level the squamous epithelium is separated from the background and stroma. At the local or cellular level, the nuclei and cytoplasm are segmented for further analysis. Image features that influence the pathologists' decision during the analysis and classification of a cervical biopsy are the nuclei's shape and spread; the ratio of the areas of nuclei and cytoplasm as well as the texture and spread of the abnormalities

  16. Development of decision support systems manager credit bank

    Directory of Open Access Journals (Sweden)

    М.В. Зосімович

    2008-03-01

    Full Text Available  There was designed the software for innovation projects evaluation. The application of a decision assumption support by a bank manager of Credit Department allows to improve the quality of managing process, timeliness of making the right decision in problem situations, which are characterized by high complexity, uncertainly and weak structuralism.

  17. Decision Tool for optimal deployment of radar systems

    NARCIS (Netherlands)

    Vogel, M.H.

    1995-01-01

    A Decision Tool for air defence is presented. This Decision Tool, when provided with information about the radar, the environment, and the expected class of targets, informs the radar operator about detection probabilities. This assists the radar operator to select the optimum radar parameters. n

  18. Decision making under uncertainty: Recommendations for the Wildland Fire Decision Support System (WFDSS)

    Science.gov (United States)

    Matthew P. Thompson

    2015-01-01

    The management of wildfire is a dynamic, complex, and fundamentally uncertain enterprise. Fire managers face uncertainties regarding fire weather and subsequent influence on fire behavior, the effects of fire on socioeconomic and ecological resources, and the efficacy of alternative suppression actions on fire outcomes. In these types of difficult decision environments...

  19. An incremental approach to obtaining attribute reduction for dynamic decision systems

    Directory of Open Access Journals (Sweden)

    Wenjun Liu

    2016-01-01

    Full Text Available In the 1960s Professor Hu Guoding proposed a method of measuring information based on the idea that connotation and denotation of a concept satisfies inverse ratio rule. According to this information measure, firstly we put forward the information quantity for information systems and decision systems; then, we discuss the updating mechanism of information quantity for decision systems; finally, we give an attribute reduction algorithm for decision tables with dynamically varying attribute values.

  20. A definition of high-level decisions in the engineering of systems

    Science.gov (United States)

    Powell, Robert Anthony

    The role of the systems engineer defines that he or she be proactive and guide the program manager and their customers through their decisions to enhance the effectiveness of system development---producing faster, better, and cheaper systems. The present lack of coverage in literature on what these decisions are and how they relate to each other may be a contributing factor to the high rate of failure among system projects. At the onset of the system development process, decisions have an integral role in the design of a system that meets stakeholders' needs. This is apparent during the design and qualification of both the Development System and the Operational System. The performance, cost and schedule of the Development System affect the performance of the Operational System and are affected by decisions that influence physical elements of the Development System. The performance, cost, and schedule of the Operational System is affected by decisions that influence physical elements of the Operational System. Traditionally, product and process have been designed using know-how and trial and error. However, the empiricism of engineers and program managers is limited which can, and has led to costly mistakes. To date, very little research has explored decisions made in the engineering of a system. In government, literature exists on procurement processes for major system development; but in general literature on decisions, how they relate to each other, and the key information requirements within one of two systems and across the two systems is not readily available. This research hopes to improve the processes inherent in the engineering of systems. The primary focus of this research is on department of defense (DoD) military systems, specifically aerospace systems and may generalize more broadly. The result of this research is a process tool, a Decision System Model, which can be used by systems engineers to guide the program manager and their customers through the

  1. Holistic approach to fraud management in health insurance

    Directory of Open Access Journals (Sweden)

    Štefan Furlan

    2008-12-01

    Full Text Available Fraud present an immense problem for health insurance companies and the only way to fight fraud is by using specialized fraud management systems. The current research community focussed great efforts on different fraud detection techniques while neglecting other also important activities of fraud management. We propose a holistic approach that focuses on all 6 activities of fraud management, namely, (1 deterrence, (2 prevention, (3 detection, (4 investigation, (5 sanction and redress, and (6 monitoring. The main contribution of the paper are 15 key characteristics of a fraud management system, which enable construction of a fraud management system that provides effective and efficient support to all fraud management activities. We base our research on literature review, interviews with experts from different fields, and a case study. The case study provides additional confirmation to expert opinions, as it puts our holistic framework into practice.

  2. Exploring the Functioning of Decision Space: A Review of the Available Health Systems Literature

    Science.gov (United States)

    Roman, Tamlyn Eslie; Cleary, Susan; McIntyre, Diane

    2017-01-01

    Background: The concept of decision space holds appeal as an approach to disaggregating the elements that may influence decision-making in decentralized systems. This narrative review aims to explore the functioning of decision space and the factors that influence decision space. Methods: A narrative review of the literature was conducted with searches of online databases and academic journals including PubMed Central, Emerald, Wiley, Science Direct, JSTOR, and Sage. The articles were included in the review based on the criteria that they provided insight into the functioning of decision space either through the explicit application of or reference to decision space, or implicitly through discussion of decision-making related to organizational capacity or accountability mechanisms. Results: The articles included in the review encompass literature related to decentralisation, management and decision space. The majority of the studies utilise qualitative methodologies to assess accountability mechanisms, organisational capacities such as finance, human resources and management, and the extent of decision space. Of the 138 articles retrieved, 76 articles were included in the final review. Conclusion: The literature supports Bossert’s conceptualization of decision space as being related to organizational capacities and accountability mechanisms. These functions influence the decision space available within decentralized systems. The exact relationship between decision space and financial and human resource capacities needs to be explored in greater detail to determine the potential influence on system functioning. PMID:28812832

  3. Exploring the Functioning of Decision Space: A Review of the Available Health Systems Literature

    Directory of Open Access Journals (Sweden)

    Tamlyn Eslie Roman

    2017-07-01

    Full Text Available Background The concept of decision space holds appeal as an approach to disaggregating the elements that may influence decision-making in decentralized systems. This narrative review aims to explore the functioning of decision space and the factors that influence decision space. Methods A narrative review of the literature was conducted with searches of online databases and academic journals including PubMed Central, Emerald, Wiley, Science Direct, JSTOR, and Sage. The articles were included in the review based on the criteria that they provided insight into the functioning of decision space either through the explicit application of or reference to decision space, or implicitly through discussion of decision-making related to organizational capacity or accountability mechanisms. Results The articles included in the review encompass literature related to decentralisation, management and decision space. The majority of the studies utilise qualitative methodologies to assess accountability mechanisms, organisational capacities such as finance, human resources and management, and the extent of decision space. Of the 138 articles retrieved, 76 articles were included in the final review. Conclusion The literature supports Bossert’s conceptualization of decision space as being related to organizational capacities and accountability mechanisms. These functions influence the decision space available within decentralized systems. The exact relationship between decision space and financial and human resource capacities needs to be explored in greater detail to determine the potential influence on system functioning.

  4. Exploring the Functioning of Decision Space: A Review of the Available Health Systems Literature.

    Science.gov (United States)

    Roman, Tamlyn Eslie; Cleary, Susan; McIntyre, Diane

    2017-02-27

    The concept of decision space holds appeal as an approach to disaggregating the elements that may influence decision-making in decentralized systems. This narrative review aims to explore the functioning of decision space and the factors that influence decision space. A narrative review of the literature was conducted with searches of online databases and academic journals including PubMed Central, Emerald, Wiley, Science Direct, JSTOR, and Sage. The articles were included in the review based on the criteria that they provided insight into the functioning of decision space either through the explicit application of or reference to decision space, or implicitly through discussion of decision-making related to organizational capacity or accountability mechanisms. The articles included in the review encompass literature related to decentralisation, management and decision space. The majority of the studies utilise qualitative methodologies to assess accountability mechanisms, organisational capacities such as finance, human resources and management, and the extent of decision space. Of the 138 articles retrieved, 76 articles were included in the final review. The literature supports Bossert's conceptualization of decision space as being related to organizational capacities and accountability mechanisms. These functions influence the decision space available within decentralized systems. The exact relationship between decision space and financial and human resource capacities needs to be explored in greater detail to determine the potential influence on system functioning.

  5. A holistic perspective on corporate sustainability drivers

    NARCIS (Netherlands)

    Lozano, Rodrigo

    2015-01-01

    Since company boards are increasingly discussing 'sustainability', it becomes necessary to examine the nature of sustainability drivers. Most approaches to corporate sustainability drivers have focused either on internal or external drivers. This paper is aimed at providing a more holistic

  6. Holistic Design for Total Product Well Being

    Science.gov (United States)

    Adams, Chris W.; Hamilton, George S.

    2004-01-01

    Recent hardware development work at NASA's Marshall Space Flight Center creates and argument for the use of a holistic design approach as opposed to a piece part design approach. A piece part design approach being one where individual pieces are developed to their finished state having to meet certain interface and human engineering requirements without much consideration to the final product as a whole. A holistic design approach being one where the final product is evaluated early and frequently during the design process, and individual parts are developed with consideration to how they interact a whole,and how they interact with the user and environment. Examples from the development of the Materials Science Research Rack - 1 will illustrate: a design failure due to piece part design; a design save, due to a failure of piece part design, but saved by evaluating the design holistically; and a design success due to a holistic design approach.

  7. A holistic perspective on corporate sustainability drivers

    NARCIS (Netherlands)

    Lozano, R.

    2013-01-01

    Since company boards are increasingly discussing 'sustainability', it becomes necessary to examine the nature of sustainability drivers. Most approaches to corporate sustainability drivers have focused either on internal or external drivers. This paper is aimed at providing a more holistic

  8. Verification and synthesis of optimal decision strategies for complex systems

    Energy Technology Data Exchange (ETDEWEB)

    Summers, S. J.

    2013-07-01

    Complex systems make a habit of disagreeing with the mathematical models strategically designed to capture their behavior. A recursive process ensues where data is used to gain insight into the disagreement. A simple model may give way to a model with hybrid dynamics. A deterministic model may give way to a model with stochastic dynamics. In many cases, the modeling framework that sufficiently characterises the system is both hybrid and stochastic; these systems are referred to as stochastic hybrid systems. This dissertation considers the stochastic hybrid system framework for modeling complex systems and provides mathematical methods for analysing, and synthesizing decision laws for, such systems. We first propose a stochastic reach-avoid problem for discrete time stochastic hybrid systems. In particular, we present a dynamic programming based solution to a probabilistic reach-avoid problem for a controlled discrete time stochastic hybrid system. We address two distinct interpretations of the reach-avoid problem via stochastic optimal control. In the first case, a sum-multiplicative cost function is introduced along with a corresponding dynamic recursion that quantifies the probability of hitting a target set at some point during a finite time horizon, while avoiding an unsafe set at all preceding time steps. In the second case, we introduce a multiplicative cost function and a dynamic recursion that quantifies the probability of hitting a target set at the terminal time, while avoiding an unsafe set at all preceding time steps. In each case, optimal reach-avoid control policies are derived as the solution to an optimal control problem via dynamic programming. We next introduce an extension of the reach-avoid problem where we consider the verification of discrete time stochastic hybrid systems when there exists uncertainty in the reachability specifications themselves. A sum multiplicative cost function is introduced along with a corresponding dynamic recursion

  9. Intelligent Case Based Decision Support System for Online Diagnosis of Automated Production System

    Science.gov (United States)

    Ben Rabah, N.; Saddem, R.; Ben Hmida, F.; Carre-Menetrier, V.; Tagina, M.

    2017-01-01

    Diagnosis of Automated Production System (APS) is a decision-making process designed to detect, locate and identify a particular failure caused by the control law. In the literature, there are three major types of reasoning for industrial diagnosis: the first is model-based, the second is rule-based and the third is case-based. The common and major limitation of the first and the second reasonings is that they do not have automated learning ability. This paper presents an interactive and effective Case Based Decision Support System for online Diagnosis (CB-DSSD) of an APS. It offers a synergy between the Case Based Reasoning (CBR) and the Decision Support System (DSS) in order to support and assist Human Operator of Supervision (HOS) in his/her decision process. Indeed, the experimental evaluation performed on an Interactive Training System for PLC (ITS PLC) that allows the control of a Programmable Logic Controller (PLC), simulating sensors or/and actuators failures and validating the control algorithm through a real time interactive experience, showed the efficiency of our approach.

  10. Decision support systems for transportation system management and operations (TSM&O).

    Science.gov (United States)

    2015-12-01

    There is a need for the development of tools and methods to support off-line and real-time : planning and operation decisions associated with the Transportation System Management and : Operations (TSM&O) program. The goal of this proposed project is ...

  11. A Scalable Architecture for Rule Engine Based Clinical Decision Support Systems.

    Science.gov (United States)

    Chattopadhyay, Soumi; Banerjee, Ansuman; Banerjee, Nilanjan

    2015-01-01

    Clinical Decision Support systems (CDSS) have reached a fair level of sophistication and have emerged as the popular system of choice for their aid in clinical decision making. These decision support systems are based on rule engines navigate through a repertoire of clinical rules and multitudes of facts to assist a clinical expert to decide on the set of actuations in response to a medical situation. In this paper, we present the design of a scalable architecture for a rule engine based clinical decision system.

  12. The Use of Decision Support Systems in Social Work: A Scoping Study Literature Review.

    Science.gov (United States)

    Liedgren, Pernilla; Elvhage, Gudrun; Ehrenberg, Anna; Kullberg, Christian

    2016-01-01

    Decision support systems are known to be helpful for professionals in many medical professions. In social work, decision support systems have had modest use, accompanied by strong criticism from the profession but often by praise from political management. In this study the aim of the authors was to collect and report on the published evidence on decision support systems in social work. The conclusion of the authors is that a decision support system gives support to social workers in conducting a thorough investigation, but at the same time gives them the freedom to make autonomous decisions that might be the most helpful for and used by social workers. Their results also indicate that decision support systems focusing on atypical rather than typical cases are perceived as the most useful among experienced staff.

  13. A decision support system for a multi stakeholder’s decision process in a Portuguese National Forest

    Directory of Open Access Journals (Sweden)

    J. Garcia-Gonzalo

    2013-07-01

    Full Text Available Aim of study: In this paper, we present a decision support system (DSS to support decision making where different stakeholders have to generate landscape and forest level strategic plans. We further present an interactive approach that may take advantage of a posteriori preference modelling (i.e. Pareto frontier technique to facilitate the specification of the levels of achievement of various objectives.Area of study: The approach was applied to one planning cycle of a real world study case, the Leiria National Forest in Portugal. The Leiria National Forest, a managed area of approximately eleven thousand hectares in which 8,679 hectares are even aged stands of maritime pine (Pinus pinaster Ait aimed at the production of wood.Material and methods: The interactive approach, at first, tries to generate Pareto efficient frontiers for different objectives. Then, multiple decision makers are involved in the process to seek an agreement towards the definition of a consensual strategic plan.Main results: The system developed in this article integrates an information management subsystem, a module to generate alternative management regimes, growth model routines and a decision module that generates and solves mathematical formulations. It also provides a module to display reports and view the resulting solutions (management plans. We also build the Pareto frontier for different criteria. The results show that the proposed DSS can help solve strategic planning problems subject to sustainable management constraints where people organize themselves and participate jointly to manage their natural resources.Research highlights: The interactive approach facilitates the involvement of multiple stakeholders in the decision making process.Keywords: decision support system; participatory planning; linear programming; mixed integer goal programming; sustainable forest management.

  14. 75 FR 58374 - 2010 Release of CADDIS (Causal Analysis/Diagnosis Decision Information System)

    Science.gov (United States)

    2010-09-24

    ... AGENCY 2010 Release of CADDIS (Causal Analysis/Diagnosis Decision Information System) AGENCY... Decision Information System (CADDIS). This Web site was developed to help scientists find, develop... information useful for causal evaluations in aquatic systems. CADDIS is based on EPA's Stressor Identification...

  15. Space Launch System Complex Decision-Making Process

    Science.gov (United States)

    Lyles, Garry; Flores, Tim; Hundley, Jason; Monk, Timothy; Feldman,Stuart

    2012-01-01

    The Space Shuttle program has ended and elements of the Constellation Program have either been cancelled or transitioned to new NASA exploration endeavors. The National Aeronautics and Space Administration (NASA) has worked diligently to select an optimum configuration for the Space Launch System (SLS), a heavy lift vehicle that will provide the foundation for future beyond low earth orbit (LEO) large-scale missions for the next several decades. From Fall 2010 until Spring 2011, an SLS decision-making framework was formulated, tested, fully documented, and applied to multiple SLS vehicle concepts at NASA from previous exploration architecture studies. This was a multistep process that involved performing figure of merit (FOM)-based assessments, creating Pass/Fail gates based on draft threshold requirements, performing a margin-based assessment with supporting statistical analyses, and performing sensitivity analysis on each. This paper focuses on the various steps and methods of this process (rather than specific data) that allowed for competing concepts to be compared across a variety of launch vehicle metrics in support of the successful completion of the SLS Mission Concept Review (MCR) milestone.

  16. Holistic Nursing Simulation: A Concept Analysis.

    Science.gov (United States)

    Cohen, Bonni S; Boni, Rebecca

    2018-03-01

    Simulation as a technology and holistic nursing care as a philosophy are two components within nursing programs that have merged during the process of knowledge and skill acquisition in the care of the patients as whole beings. Simulation provides opportunities to apply knowledge and skill through the use of simulators, standardized patients, and virtual settings. Concerns with simulation have been raised regarding the integration of the nursing process and recognizing the totality of the human being. Though simulation is useful as a technology, the nursing profession places importance on patient care, drawing on knowledge, theories, and expertise to administer patient care. There is a need to promptly and comprehensively define the concept of holistic nursing simulation to provide consistency and a basis for quality application within nursing curricula. This concept analysis uses Walker and Avant's approach to define holistic nursing simulation by defining antecedents, consequences, and empirical referents. The concept of holism and the practice of holistic nursing incorporated into simulation require an analysis of the concept of holistic nursing simulation by developing a language and model to provide direction for educators in design and development of holistic nursing simulation.

  17. Modeling, control and optimization of water systems systems engineering methods for control and decision making tasks

    CERN Document Server

    2016-01-01

    This book provides essential background knowledge on the development of model-based real-world solutions in the field of control and decision making for water systems. It presents system engineering methods for modelling surface water and groundwater resources as well as water transportation systems (rivers, channels and pipelines). The models in turn provide information on both the water quantity (flow rates, water levels) of surface water and groundwater and on water quality. In addition, methods for modelling and predicting water demand are described. Sample applications of the models are presented, such as a water allocation decision support system for semi-arid regions, a multiple-criteria control model for run-of-river hydropower plants, and a supply network simulation for public services.

  18. The online community based decision making support system for mitigating biased decision making

    Science.gov (United States)

    Kang, Sunghyun; Seo, Jiwan; Choi, Seungjin; Kim, Junho; Han, Sangyong

    2016-10-01

    As the Internet technology and social media advance, various information and opinions are shared and distributed through the online communities. However, the existence of implicit and explicit bias of opinions may have a potential influence on the outcomes. Compared to the importance of mitigating biased information, the study in this field is relatively young and does not address many important issues. In this paper we propose the noble approach to mitigate the biased opinions using conventional machine learning methods. The proposed method extracts the useful features such as inclination and sentiment of the community members. They are classified based on their previous behavior, and the propensity of the members is understood. This information on each community and its members is very useful and improve the ability to make an unbiased decision. The proposed method presented in this paper is shown to have the ability to assist optimal, fair and good decision making while also reducing the influence of implicit bias.

  19. Beyond ‘Technology for Development’ and ‘Sustainability’ towards systemic and holistic rural innovation: Success factors from the Southern African experience over 20 years

    CSIR Research Space (South Africa)

    Van Rensburg, J

    2014-06-01

    Full Text Available -centred network development that consists of: identifying the key visions (and dreams) as well as innovative systemic dependencies in the targeted context and services delivery channel; developing a programmatic behavioural change process; utilising ICTs...

  20. Importance of Decision Support Systems About Food Safety in Raw Milk Production

    Directory of Open Access Journals (Sweden)

    Ecem Akan

    2015-12-01

    Full Text Available In raw milk production decision support systems for control of food safety hazards has not been developed but main points of this system are available. The decision support systems’ elements include data identification at critical points in the milk supply chain, an information management system and data exchange. Decision supports systems has been developed on the basis of these elements. In dairy sector decision support systems are significant for controlling of food safety hazards and preferred by producers. When these systems are implemented in the milk supply chain, it can be prevented unnecessary sampling and analysis. In this article it will be underlined effects of decision support system elements on food safety of raw milk.

  1. An Oceanographic Decision Support System for Scientific Field Experiments

    Science.gov (United States)

    Maughan, T.; Das, J.; McCann, M. P.; Rajan, K.

    2011-12-01

    Thom Maughan, Jnaneshwar Das, Mike McCann, Danelle Cline, Mike Godin, Fred Bahr, Kevin Gomes, Tom O'Reilly, Frederic Py, Monique Messie, John Ryan, Francisco Chavez, Jim Bellingham, Maria Fox, Kanna Rajan Monterey Bay Aquarium Research Institute Moss Lading, California, United States Many of the coastal ocean processes we wish to observe in order to characterize marine ecosystems have large spatial extant (tens of square km) and are dynamic moving kilometers in a day with biological processes spanning anywhere from minutes to days. Some like harmful algal blooms generate toxins which can significantly impact human health and coastal economies. In order to obtain a viable understanding of the biogeochemical processes which define their dynamics and ecology, it is necessary to persistently observe, track and sample within and near the dynamic fields using augmented methods of observation such as autonomous platforms like AUVs, gliders and surface craft. Field experiments to plan, execute and manage such multitude of assets are challenging. To alleviate this problem the autonomous systems group with its collaborators at MBARI and USC designed, built and fielded a prototype Oceanographic Decision Support System (ODSS) that provides situational awareness and a single portal to visualize and plan deployments for the large scale October 2010 CANON field program as well as a series of 2 week field programs in 2011. The field programs were conducted in Monterey Bay, a known 'red tide' incubator, and varied from as many as twenty autonomous platforms, four ships and 2 manned airplanes to coordinated AUV operations, drifters and a single ship. The ODSS web-based portal was used to assimilate information from a collection of sources at sea, including AUVs, moorings, radar data as well as remote sensing products generated by partner organizations to provide a synthesis of views useful to predict the movement of a chlorophyll patch in the confines of the northern Monterey Bay

  2. THE DOMAINS FOR THE MULTI-CRITERIA DECISIONS ABOUT E-LEARNING SYSTEMS

    Directory of Open Access Journals (Sweden)

    Murat Pasa UYSAL

    2012-04-01

    Full Text Available Developments in computer and information technologies continue to give opportunities for designing advanced E-learning systems while entailing objective and technical evaluation methodologies. Design and development of E-learning systems require time-consuming and labor-intensive processes; therefore any decision about these systems and their analysis needs systematic and structured guidance to lead to better decisions. Multi-Criteria Decision Analysis (MCDA techniques are applicable in instructional technology-related research areas as well as in other academic disciplines. In this study, a conceptual domain model and a decision activity framework is proposed for E-learning systems. Instructional, technological, and administrative decision domains are included in this model. Finally, an illustrative example is given to show that AHP is an effective MCDA method for E-learning-related decisions.

  3. Multi-Criteria Decision Making for a Spatial Decision Support System on the Analysis of Changing Risk

    Science.gov (United States)

    Olyazadeh, Roya; van Westen, Cees; Bakker, Wim H.; Aye, Zar Chi; Jaboyedoff, Michel; Derron, Marc-Henri

    2014-05-01

    Natural hazard risk management requires decision making in several stages. Decision making on alternatives for risk reduction planning starts with an intelligence phase for recognition of the decision problems and identifying the objectives. Development of the alternatives and assigning the variable by decision makers to each alternative are employed to the design phase. Final phase evaluates the optimal choice by comparing the alternatives, defining indicators, assigning a weight to each and ranking them. This process is referred to as Multi-Criteria Decision Making analysis (MCDM), Multi-Criteria Evaluation (MCE) or Multi-Criteria Analysis (MCA). In the framework of the ongoing 7th Framework Program "CHANGES" (2011-2014, Grant Agreement No. 263953) of the European Commission, a Spatial Decision Support System is under development, that has the aim to analyse changes in hydro-meteorological risk and provide support to selecting the best risk reduction alternative. This paper describes the module for Multi-Criteria Decision Making analysis (MCDM) that incorporates monetary and non-monetary criteria in the analysis of the optimal alternative. The MCDM module consists of several components. The first step is to define criteria (or Indicators) which are subdivided into disadvantages (criteria that indicate the difficulty for implementing the risk reduction strategy, also referred to as Costs) and advantages (criteria that indicate the favorability, also referred to as benefits). In the next step the stakeholders can use the developed web-based tool for prioritizing criteria and decision matrix. Public participation plays a role in decision making and this is also planned through the use of a mobile web-version where the general local public can indicate their agreement on the proposed alternatives. The application is being tested through a case study related to risk reduction of a mountainous valley in the Alps affected by flooding. Four alternatives are evaluated in

  4. Decision Support Systems for Research and Management in Advanced Life Support

    Science.gov (United States)

    Rodriquez, Luis F.

    2004-01-01

    Decision support systems have been implemented in many applications including strategic planning for battlefield scenarios, corporate decision making for business planning, production planning and control systems, and recommendation generators like those on Amazon.com(Registered TradeMark). Such tools are reviewed for developing a similar tool for NASA's ALS Program. DSS are considered concurrently with the development of the OPIS system, a database designed for chronicling of research and development in ALS. By utilizing the OPIS database, it is anticipated that decision support can be provided to increase the quality of decisions by ALS managers and researchers.

  5. Holistic Approach to Fraud Management in Health Insurance

    OpenAIRE

    Štefan Furlan; Marko Bajec

    2008-01-01

    Fraud present an immense problem for health insurance companies and the only way to fight fraud is by using specialized fraud management systems. The current research community focussed great efforts on different fraud detection techniques while neglecting other also important activities of fraud management. We propose a holistic approach that focuses on all 6 activities of fraud management, namely, (1) deterrence, (2) prevention, (3) detection, (4) investigation, (5) sanction and redress, an...

  6. Optimization-based decision support systems for planning problems in processing industries

    OpenAIRE

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The tremendous progress in hard- and software of the past decades was an important gateway for developing computerized systems that are able to support decision making on different levels within enterprises. T...

  7. Decisions, Decisions!

    Science.gov (United States)

    McFadden, F. Lee

    1975-01-01

    A self-instructional program on decision making was used in conjunction with workshops to introduce the staff of an instructional materials company to the decision tree process as they used it to study their own film production problem. (Author/MS)

  8. The System for Teaching and Learning Assessment Review (STAR): A Holistic, Classroom Observation Alternative to Measures of Student Perceptions for Research on Classroom Learning Environments.

    Science.gov (United States)

    Loup, Karen S.; And Others

    A conceptual and empirical analysis of findings from the development of a comprehensive classroom-based, direct observational measure of classroom environment is presented in this paper. The System for Teaching and Learning Assessment and Review (STAR) differs from traditional instruments of direct, systematic classroom observation in that it…

  9. A medical informatics perspective on clinical decision support systems. Findings from the yearbook 2013 section on decision support.

    Science.gov (United States)

    Bouaud, J; Lamy, J-B

    2013-01-01

    To summarize excellent research and to select best papers published in 2012 in the field of computer-based decision support in healthcare. A bibliographic search focused on clinical decision support systems (CDSSs) and computer provider order entry was performed, followed by a double-blind literature review. The review process yielded six papers, illustrating various aspects of clinical decision support. The first paper is a systematic review of CDSS intervention trials in real settings, and considers different types of possible outcomes. It emphasizes the heterogeneity of studies and confirms that CDSSs can improve process measures but that evidence lacks for other types of outcomes, especially clinical or economic. Four other papers tackle the safety of drug prescribing and show that CDSSs can be efficient in reducing prescription errors. The sixth paper exemplifies the growing role of ontological resources which can be used for several applications including decision support. CDSS research has to be continuously developed and assessed. The wide variety of systems and of interventions limits the understanding of factors of success of CDSS implementations. A standardization in the characterization of CDSSs and of intervention trial reporting will help to overcome this obstacle.

  10. Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach

    Science.gov (United States)

    Si, Sheng-Li; You, Xiao-Yue; Huang, Jia

    2017-01-01

    Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that “accidents/adverse events”, “nosocomial infection”, ‘‘incidents/errors”, “number of operations/procedures” are significant influential indicators. Also, the indicators of “length of stay”, “bed occupancy” and “financial measures” play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions. PMID:28825613

  11. Identifying Key Performance Indicators for Holistic Hospital Management with a Modified DEMATEL Approach.

    Science.gov (United States)

    Si, Sheng-Li; You, Xiao-Yue; Liu, Hu-Chen; Huang, Jia

    2017-08-19

    Performance analysis is an important way for hospitals to achieve higher efficiency and effectiveness in providing services to their customers. The performance of the healthcare system can be measured by many indicators, but it is difficult to improve them simultaneously due to the limited resources. A feasible way is to identify the central and influential indicators to improve healthcare performance in a stepwise manner. In this paper, we propose a hybrid multiple criteria decision making (MCDM) approach to identify key performance indicators (KPIs) for holistic hospital management. First, through integrating evidential reasoning approach and interval 2-tuple linguistic variables, various assessments of performance indicators provided by healthcare experts are modeled. Then, the decision making trial and evaluation laboratory (DEMATEL) technique is adopted to build an interactive network and visualize the causal relationships between the performance indicators. Finally, an empirical case study is provided to demonstrate the proposed approach for improving the efficiency of healthcare management. The results show that "accidents/adverse events", "nosocomial infection", ''incidents/errors", "number of operations/procedures" are significant influential indicators. Also, the indicators of "length of stay", "bed occupancy" and "financial measures" play important roles in performance evaluation of the healthcare organization. The proposed decision making approach could be considered as a reference for healthcare administrators to enhance the performance of their healthcare institutions.

  12. Mechanists Must be Holists Too! Perspectives from Circadian Biology.

    Science.gov (United States)

    Bechtel, William

    2016-12-01

    The pursuit of mechanistic explanations in biology has produced a great deal of knowledge about the parts, operations, and organization of mechanisms taken to be responsible for biological phenomena. Holist critics have often raised important criticisms of proposed mechanistic explanations, but until recently holists have not had alternative research strategies through which to advance explanations. This paper argues both that the results of mechanistic strategies has forced mechanists to confront ways in which whole systems affect their components and that new representational and modeling strategies are providing tools for understanding these effects of whole systems upon components. Drawing from research on the mechanism responsible for circadian rhythms in mammals, I develop two examples in which mechanistic analysis is being integrated into a more holist perspective: research revealing intercellular integration of circadian mechanisms with those involved in cell metabolism and research revealing that stable␣rhythms are dependent on how individual cells in the suprachiasmatic nucleus synchronize with each other to generate regular rhythms. Tools such as network diagramming and computational modeling are providing means to integrate mechanistic models into accounts of whole systems.

  13. Effects of Computerized Decision Support Systems on Management of Atrial Fibrillation: A Scoping Review.

    Science.gov (United States)

    Sheibani, Reza; Nabovati, Ehsan; Sheibani, Mehdi; Abu-Hanna, Ameen; Heidari-Bakavoli, Alireza; Eslami, Saeid

    2017-01-01

    Potential role of computerized decision support system on management of atrial fibrillation is not well understood. To systematically review studies that evaluate the effects of computerized decision support systems and decision aids on aspects pertaining to atrial fibrillation. We searched Medline, Scopus and Cochrane database. Last date of search was 2016, January 10. Computerized decision support systems that help manage atrial fibrillation and decision aids that provide useful knowledge for patients with atrial fibrillation and help them to self-care. Two reviewers extracted data and summarized findings. Due to heterogeneity, meta-analysis was not feasible; mean differences of outcomes and confidence intervals for a difference between two Means were reported. Seven eligible studies were included in the final review. There was one observational study without controls, three observational studies with controls, one Non-Randomized Controlled Trial and two Randomized Controlled Trials. The interventions were three decision aids that were used by patients and four computerized decision support systems. Main outcomes of studies were: stroke events and major bleeding (one article), Changing doctor-nurse behavior (three articles), Time in therapeutic International Normalized Ratio range (one article), decision conflict scale (two articles), patient knowledge and anxiety about stroke and bleeding (two articles). A computerized decision support system may decrease decision conflict and increase knowledge of patients with atrial fibrillation (AF) about risks of AF and AF treatments. Effect of computerized decision support system on outcomes such as changing doctor-nurse behavior, anxiety about stroke and bleeding and stroke events could not be shown.We need more studies to evaluate the role of computerized decision support system in patients with atrial fibrillation.

  14. Prospects and limitations of mathematical methods for decision making in nonlinear complex systems

    DEFF Research Database (Denmark)

    Starke, Jens; Berkemer, Rainer

    2007-01-01

    of the workshop Decision making and uncertainty in nonlinear complex systems for their valuable input on topics like uncertainty, nonlinearity, and complex systems in general. Scientists with different research backgrounds from various fields discussed several aspects of mathematical methods for decision making...

  15. AppBuilder for DSSTools; an application development environment for developing decision support systems in Prolog

    Science.gov (United States)

    Geneho Kim; Donald Nute; H. Michael Rauscher; David L. Loftis

    2000-01-01

    A programming environment for developing complex decision support systems (DSSs) should support rapid prototyping and modular design, feature a flexible knowledge representation scheme and sound inference mechanisms, provide project management, and be domain independent. We have previously developed DSSTools (Decision Support System Tools), a reusable, domain-...

  16. Applications of decision theory to computer-based adaptive instructional systems

    NARCIS (Netherlands)

    Vos, Hendrik J.

    1988-01-01

    This paper considers applications of decision theory to the problem of instructional decision-making in computer-based adaptive instructional systems, using the Minnesota Adaptive Instructional System (MAIS) as an example. The first section indicates how the problem of selecting the appropriate

  17. Adoption of Web-based Group Decision Support Systems: Conditions for Growth

    NARCIS (Netherlands)

    van Hillegersberg, Jos; Koenen, Sebastiaan

    2014-01-01

    While organizations have massively adopted enterprise information systems to support business processes, business meetings in which key decisions are made about products, services and processes are usually held without much support of information systems. This is remarkable as group decision support

  18. Applying the Wildland Fire Decision Support System (WFDSS) to support risk-informed decision making: The Gold Pan Fire, Bitterroot National Forest, Montana, USA

    Science.gov (United States)

    Erin K. Noonan-Wright; Tonja S. Opperman

    2015-01-01

    In response to federal wildfire policy changes, risk-informed decision-making by way of improved decision support, is increasingly becoming a component of managing wildfires. As fire incidents escalate in size and complexity, the Wildland Fire Decision Support System (WFDSS) provides support with different analytical tools as fire conditions change. We demonstrate the...

  19. How to design a connectionist holistic parser.

    Science.gov (United States)

    Ho, E K; Chan, L W

    1999-11-15

    Connectionist holistic parsing offers a viable and attractive alternative to traditional algorithmic parsers. With exposure to a limited subset of grammatical sentences and their corresponding parse trees only, a holistic parser is capable of learning inductively the grammatical regularity underlying the training examples that affects the parsing process. In the past, various connectionist parsers have been proposed. Each approach had its own unique characteristics, and yet some techniques were shared in common. In this article, various dimensions underlying the design of a holistic parser are explored, including the methods to encode sentences and parse trees, whether a sentence and its corresponding parse tree share the same representation, the use of confluent inference, and the inclusion of phrases in the training set. Different combinations of these design factors give rise to different holistic parsers. In succeeding discussions, we scrutinize these design techniques and compare the performances of a few parsers on language parsing, including the confluent preorder parser, the backpropagation parsing network, the XERIC parser of Berg (1992), the modular connectionist parser of Sharkey and Sharkey (1992), Reilly's (1992) model, and their derivatives. Experiments are performed to evaluate their generalization capability and robustness. The results reveal a number of issues essential for building an effective holistic parser.

  20. Holistic Medicine IV: Principles of Existential Holistic Group Therapy and the Holistic Process of Healing in a Group Setting

    Directory of Open Access Journals (Sweden)

    Soren Ventegodt

    2003-01-01

    Full Text Available In existential holistic group therapy, the whole person heals in accordance with the holistic process theory and the life mission theory. Existential group psychotherapy addresses the emotional aspect of the human mind related to death, freedom, isolation, and meaninglessness, while existential holistic group therapy addresses the state of the person�s wholeness. This includes the body, the person�s philosophy of life, and often also love, purpose of life, and the spiritual dimension, to the same extent as it addresses the emotional psyche and sexuality, and it is thus much broader than traditional psychotherapy.Where existential psychotherapy is rather depressing concerning the fundamental human condition, existential holistic therapy conceives life to be basically good. The fundamentals in existential holistic therapy are that everybody has the potential for healing themselves to become loving, joyful, sexually attractive, strong, and gifted, which is a message that most patients welcome. While the patient is suffering and fighting to get through life, the most important job for the holistic therapist is to keep a positive perspective of life. In accordance with these fundamentals, many participants in holistic group therapy will have positive emotional experiences, often of an unknown intensity, and these experiences appear to transform their lives within only a few days or weeks of therapy.An important idea of the course is Bohm�s concept of �holo-movement� in the group, resulting from intense coherence between the group members. When the group comes together, the individual will be linked to the totality and the great movement forward towards love, consciousness, and happiness will happen collectively � if it happens at all. This gives the individual the feeling that everything that happens is right, important, and valuable for all the participants at the same time. Native Americans and other premodern people refer to this

  1. A Bayesian decision-support system for diagnosing ventilator-associated pneumonia

    NARCIS (Netherlands)

    Schurink, C.A.; Visscher, S.; Lucas, P.J.; van Leeuwen, H.J.; Buskens, E.; Hoff, R.G.; Hoepelman, A.I.; Bonten, M.J.

    2007-01-01

    OBJECTIVE: To determine the diagnostic performance of a Bayesian Decision-Support System (BDSS) for ventilator-associated pneumonia (VAP). DESIGN: A previously developed BDSS, automatically obtaining patient data from patient information systems, provides likelihood predictions of VAP. In a

  2. The Needs of Hybrid Systems Configuration for Real - Time Decision - Making Process in Surgery

    National Research Council Canada - National Science Library

    Tritto, G

    2001-01-01

    ...: sensors, actuators, mechatronic systems and tools in Minimally Invasive Surgery (MIS) and Microsurgery require nonlinear interpretation and control systems to interface with the computer-assisted decision making process of the surgeon at work...

  3. Transit Operations Decision Support System (TODSS) core requirements evaluation and update recommendations.

    Science.gov (United States)

    2009-10-01

    Transit Operations Decision Support Systems (TODSS) are systems designed to support dispatchers and others in real-time operations : management in response to incidents, special events, and other changing conditions in order to improve operating spee...

  4. Transit Operations Decision Support System (TODSS) core requirements prototype development case study and lessons learned.

    Science.gov (United States)

    2010-02-01

    Transit Operations Decision Support Systems (TODSS) are systems designed to support dispatchers and others in real-time operations : management in response to incidents, special events, and other changing conditions. As part of a joint Federal Transi...

  5. Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.

    Energy Technology Data Exchange (ETDEWEB)

    Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences

    2008-12-01

    The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.

  6. Holistic model-based monitoring of the human health status in an urban environment system: pilot study in Verona city, Italy.

    Science.gov (United States)

    Tarocco, S; Amoruso, I; Caravello, G

    2011-06-01

    In recent decades the global health paradigm gained an increasing systemic characterization. The ecosystem health theory states that a healthy ecosystem, whether natural or artificial, significantly contributes to the good health status of the human population. The present study describes an interdisciplinary monitoring model that retrospectively analyzes the intersection between the urban environment and citizens. The model analyzes both the biophysical and the anthropic subsystems through the application of landscape ecology and environmental quality indexes along with human health indicators. Particularly, ecological quality of landscape pattern, atmospheric pollution, outdoor noise levels and local health indicators were assessed. Verona municipality was chosen as study area to test the preliminary efficiency of the model. Territory was split into two superimposed layers of land units, which were further geo-referentiated with Geographical Information System (GIS) technology. Interdependence of any of the analyzed traits was further investigated with Fisher exact test. Landscape composition was assessed and an Average Ecological Quality (AEQ) score assigned to each land unit. A direct proportionality emerged for concentrations of considered air pollutants and traffic levels: a spatial model for the atmospheric pollution was drawn. A map depicting the distribution of traffic-related noise levels was also drawn. From chosen indicators, a quality class score was assigned to every minor and major land unit. Age-standardised rates about hospitalizations for the municipal population and specific rates for the over-65s/1000 inhabitants were calculated. Quality class assignement for each health indicator was graphically rendered. After direct standardisation of rates for the population sample, data were compared with two reference populations, the Regional population and the Local Socio-sanitary Unit (ULSS20) population. Standardised hospitalization rates for the whole

  7. Decisions, dopamine, and degeneracy in complex biological systems

    Directory of Open Access Journals (Sweden)

    Regan CM

    2014-01-01

    Full Text Available Ciaran M Regan School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Belfield, Dublin, Ireland Abstract: The neurobiological and computational analysis of value-based decision-making rests within the domain of neuroeconomics which has the goal of providing a biological account of human behavior relevant to both natural and social sciences. This review proposes a framework to investigate different aspects of the theoretical and molecular neurobiology of decision-making. In order to learn how to make good decisions, the brain needs to compute a separate value signal that measures the desirability of the outcomes that were generated by its previous decisions. The framework presented here combines aspects of current ideas relating to information processing by the hippocampal formation and how these relate to the phasic midbrain dopaminergic firing that occurs in response to the spatial and motivational aspects of rewarding events in the environment. The activities of hippocampal ensembles are considered to reflect a continuous updating process for attended experiences, defining both regular and irregular stimuli, environments, and actions, that are rapidly encoded as schemas into pre-existing knowledge bases. Keywords: hippocampus, schemas, synapse assemblies, cell assemblies, synapse plasticity

  8. Decision Support Systems in Forest Management: An Integrated ...

    African Journals Online (AJOL)

    Focus Group Discussion (FGD) strategy was applied to capture extent of use of Indigenous and Local Knowledge (ILK) and GDSS in forest management decisions, observation was applied to implicitly relate the narration from FGD and the reality while interview method was applied to forest officials to capture use of ILK in ...

  9. A Decision Support System for Predicting Students' Performance

    Science.gov (United States)

    Livieris, Ioannis E.; Mikropoulos, Tassos A.; Pintelas, Panagiotis

    2016-01-01

    Educational data mining is an emerging research field concerned with developing methods for exploring the unique types of data that come from educational context. These data allow the educational stakeholders to discover new, interesting and valuable knowledge about students. In this paper, we present a new user-friendly decision support tool for…

  10. A decision support system for rainfed agricultural areas of Mexico

    Science.gov (United States)

    Rural inhabitants of arid lands lack sufficient water to fulfill their agricultural and household needs. They do not have readily available technical information to support decisions regarding the course of action they should follow to handle the agro-climatic risk. In this paper, a computer model (...

  11. Report of subgroup epidemiology and decision support systems

    NARCIS (Netherlands)

    Kessel, G.J.T.; Hansen, J.G.

    2010-01-01

    Developments Decision Support Models. In France, the DSS’s Mildi-LIS and MilPV merged to form a new DSS for advisors and potato growers: Mileos. Furthermore, DSS’s for organic production in France (Fredon) and Germany (Oko-SIMPHYT) were developed to help scheduling copper applications within the

  12. A decision support system for rebase location in a nature ...

    African Journals Online (AJOL)

    It is important that rebases are available on standby at strategic locations in a nature conservation area from where wildre ignition points can be reached rapidly and such res brought under control before they spread. Two facility location models are proposed in this paper which may form the basis for decision support when ...

  13. Team Machine: A Decision Support System for Team Formation

    Science.gov (United States)

    Bergey, Paul; King, Mark

    2014-01-01

    This paper reports on the cross-disciplinary research that resulted in a decision-support tool, Team Machine (TM), which was designed to create maximally diverse student teams. TM was used at a large United States university between 2004 and 2012, and resulted in significant improvement in the performance of student teams, superior overall balance…

  14. An engineering approach to modelling, decision support and control for sustainable systems.

    Science.gov (United States)

    Day, W; Audsley, E; Frost, A R

    2008-02-12

    Engineering research and development contributes to the advance of sustainable agriculture both through innovative methods to manage and control processes, and through quantitative understanding of the operation of practical agricultural systems using decision models. This paper describes how an engineering approach, drawing on mathematical models of systems and processes, contributes new methods that support decision making at all levels from strategy and planning to tactics and real-time control. The ability to describe the system or process by a simple and robust mathematical model is critical, and the outputs range from guidance to policy makers on strategic decisions relating to land use, through intelligent decision support to farmers and on to real-time engineering control of specific processes. Precision in decision making leads to decreased use of inputs, less environmental emissions and enhanced profitability-all essential to sustainable systems.

  15. A holistic approach to bit preservation

    DEFF Research Database (Denmark)

    Zierau, Eld

    2012-01-01

    Purpose: The purpose of this paper is to point out the importance of taking a holistic approach to bit preservation when setting out to find an optimal bit preservation solution for specific digital materials. In the last decade there has been an increasing awareness that bit preservation, which...... are taken into account. Design/methodology/approach: The paper describes the various findings from previous research which have led to the holistic approach to bit preservation. This paper also includes an introduction to digital preservation with a focus on the role of bit preservation, which sets...... of the shortcomings, the results can assist in analysis and evaluation of bit preservation strategies. Originality/value This paper is an extract of the findings presented in the doctoral thesis “A holistic approach to bit preservation”. The findings are relevant for any organisation that is required to do bit...

  16. USING BACH FLOWER IN HOLISTIC PSYCHOTHERAPY

    Directory of Open Access Journals (Sweden)

    Vagner Ferreira do Nascimento

    2017-05-01

    Full Text Available This is a narrative review from scientific literature that aimed to describe concepts and approaches for indications of the therapeutic use of Bach flower remedies in holistic psychotherapy. The review was developed in February 2016 from books, official documents and articles indexed in Lilacs and Scielo databases. Bach flower remedies is a therapeutic method that aims to restore the balance of human being, restoring its vital energy through holistic care. Because the flower essences act on psychic and emotional dimension of individual, when employed in holistic psychotherapy can provide greater autonomy, self-care and effectiveness compared to other alternative methods. The literature indicated that flower essence therapy is a safe practice and can be used in a complementary to health care, but should be performed by qualified professionals. It has also shown to be a promising and important area for nursing professional, but it still requires greater investment in research in the area to support the practice.

  17. Decision support systems for environmental management:a case study on wastewater from agriculture

    OpenAIRE

    Massei, Gianluca; Rocchi, Lucia; Paolotti, Luisa; Greco, Salvatore; Boggia, Antonio

    2014-01-01

    Dealing with spatial decision problems means combining and transforming geographical data (input) into a resultant decision (output), interfacing a Geographical Information System (GIS) with Multi-Criteria Decision Analysis (MCDA) methods. The conventional MCDA approach assumes the spatial homogeneity of alternatives within the case study area, although it is often unrealistic. On the other side, GIS provides excellent data acquisition, storage, manipulation and analysis capabilities, but in ...

  18. An Agent-Based Framework for Building Decision Support System in Supply Chain Management

    Science.gov (United States)

    Kazemi, A.; Fazel Zarandi, M. H.

    In this study, two scenarios are presented for solving Production-Distribution Panning Problem (PDPP) in a Decision Support System (DSS) framework. In the first scenario, a Traditional Decision Support System (TDSS) is presented for PDPP and a Genetic Algorithm (GA) is used for solving it. In the second scenario, a Multi-agent Decision Support System (MADSS) is considered for PDPP and three algorithms are used for solving it: Genetic Algorithm (GA), Tabu Search (TS) and Simulated Annealing (SA). Then an algorithm is suggested by using multi-agent system and A Teams concept. The obtained results reveal that the use of MADSS delivers better solutions to us.

  19. Impaired holistic processing in congenital prosopagnosia.

    Science.gov (United States)

    Avidan, Galia; Tanzer, Michal; Behrmann, Marlene

    2011-07-01

    It has long been argued that face processing requires disproportionate reliance on holistic or configural processing, relative to that required for non-face object recognition, and that a disruption of such holistic processing may be causally implicated in prosopagnosia. Previously, we demonstrated that individuals with congenital prosopagnosia (CP) did not show the normal face inversion effect (better performance for upright compared to inverted faces) and evinced a local (rather than the normal global) bias in a compound letter global/local (GL) task, supporting the claim of disrupted holistic processing in prosopagnosia. Here, we investigate further the nature of holistic processing impairments in CP, first by confirming, in a large sample of CP individuals, the absence of the normal face inversion effect and the presence of the local bias on the GL task, and, second, by employing the composite face paradigm, often regarded as the gold standard for measuring holistic face processing. In this last task, we show that, in contrast with controls, the CP group perform equivalently with aligned and misaligned faces and was impervious to (the normal) interference from the task-irrelevant bottom part of faces. Interestingly, the extent of the local bias evident in the composite task is correlated with the abnormality of performance on diagnostic face processing tasks. Furthermore, there is a significant correlation between the magnitude of the local bias in the GL and performance on the composite task. These results provide further evidence for impaired holistic processing in CP and, moreover, corroborate the critical role of this type of processing for intact face recognition. Copyright © 2011 Elsevier Ltd. All rights reserved.

  20. [International outcomes from attempts to implement a clinical decision support system in gastroenterology].

    Science.gov (United States)

    Tenório, Josceli Maria; Hummel, Anderson Diniz; Sdepanian, Vera Lucia; Pisa, Ivan Torres; de Fátima Marin, Heimar

    2011-01-01

    This study aimed at describing the recent experience acquired with the implementation and use of clinical decision support system in gastroenterology in order to determine the level of development, tests used and advantages that such a system can offer to the medical practice. A search in the PubMed, LILACS and ISI Web of Knowledge databases for studies in decision-making support systems in gastroenterology including original papers produced from 2005 to 2010 was performed. A total of 104 scientific papers were retrieved initially. These were analyzed using inclusion and exclusion criteria, thus yielding nine studies for further analysis. The clinical decision support system analyzed in the present study showed a great variety of clinical problems regarding the investigation of a disease and the determination of a diagnosis. Eighty-nine per cent of the studies showed experimental models for clinical decision support system development. Seventy-eight per cent of the studies described the outcomes obtained with artificial intelligence technique. Two studies compared the clinical decision support system performance with that of a doctor, and only one research work described a controlled study evidencing improvements in the medical practice. The studies analyzed showed evidence of potential benefits that clinical decision support system can bring to the clinical practice. However, further controlled studies performed in medical day-to-day conditions and environment should be performed in order to provide more clear evidence of the usefulness of clinical decision support system in the medical practice.

  1. Book review: Preventing Crime. A Holistic Approach.

    Directory of Open Access Journals (Sweden)

    Andrea Díaz Rozas

    2017-12-01

    Full Text Available Book review. Tore Bjørgo. Preventing Crime. A Holistic Approach. London: Palgrave Macmillan, 2016. 9781137560476 (Hb 93.59€, 9781349569786 (Pb 41.59€, 9781137560483 (eBook 76.99€.Reseña. Tore Bjørgo. Preventing Crime. A Holistic Approach. Londres: Palgrave Macmillan, 2016. 9781137560476 (Td 93.59€, 9781349569786 (Tb 41.59€, 9781137560483 (e-Libro 76.99€.DOWNLOAD THIS PAPER FROM SSRN: https://ssrn.com/abstract=3092188

  2. Ramadan and diabetes: Holistic trial design.

    Science.gov (United States)

    Jawad, Fatema; Kalra, Sanjay

    2016-07-01

    Extensive work has been done to analyze the safety of various modern glucose-lowering drugs during Ramadan fasting. This editorial suggests the use of validated scales of religiosity/spirituality as an adjunct to pre-Ramadan counselling and risk stratification. The editors also propose a holistic trial design for future trials on glycaemic management during Ramadan. Such a design should include both spiritual and biomedical endpoints, while trying to assess correlation between religiosity/spirituality and biomedical outcomes after Ramadan fasting. Integration of validated instruments to screen and monitor spirituality will help achieve the holistic health in devout Muslims who wish to observe Ramadan.

  3. Learning lessons from natural disasters - sectorial or holistic perspectives?

    Science.gov (United States)

    Johansson, M.; Blumenthal, B.; Nyberg, L.

    2009-04-01

    Lessons learning from systematic analyses of past natural disasters is of great importance for future risk reduction and vulnerability management. It is one crucial piece of a puzzle towards disaster resilient societies, together with e.g. models of future emerging climate-related risks, globalization or demographic changes. Systematic analyses of impact and management of past events have commonly been produced in many sectors, but the knowledge is seldom shared outside the own organization or produced for other actors. To increase the availability of reports and documents, the Swedish Rescue Services Agency has created the Swedish Natural Hazards Information System, in accordance with a government commission from 2005. The system gathers accident reports, investigations and in-depth analyses, together with societal additional costs and mappings of consequences from central and local governments, NGO's and private actors. Evaluation of the collection reveals large differences in quality, systematic approach, depth and extent, clearly consistent with the lack of coherent harmonization of investigation and reporting approaches. Type of hazard, degree of impact and time elapsed since present are decisive for the collected volume. LPHC (low probability high consequences) disasters usually comprise most data and analytical activities, since they often are met with surprise and highlight the failure to integrate resilience into normal societal planning. During the last 50 years, several LPHC events in Sweden have functioned as alarm clocks and entailed major changes and improvements in government policies or legislations, safety management systems, risk assessments, response training, stakeholder communication, etc. Such an event occurred in January 2005 when Northern Europe was confronted with one of the most severe storms in modern history. Accidents that caused 24 fatalities occurred (17 in Sweden), several regions in UK and Germany were flooded and extensive areas of

  4. Medical decision-making system of ultrasound carotid artery intima-media thickness using neural networks.

    Science.gov (United States)

    Santhiyakumari, N; Rajendran, P; Madheswaran, M

    2011-12-01

    The objective of this work is to develop and implement a medical decision-making system for an automated diagnosis and classification of ultrasound carotid artery images. The proposed method categorizes the subjects into normal, cerebrovascular, and cardiovascular diseases. Two contours are extracted for each and every preprocessed ultrasound carotid artery image. Two types of contour extraction techniques and multilayer back propagation network (MBPN) system have been developed for classifying carotid artery categories. The results obtained show that MBPN system provides higher classification efficiency, with minimum training and testing time. The outputs of decision support system are validated with medical expert to measure the actual efficiency. MBPN system with contour extraction algorithms and preprocessing scheme helps in developing medical decision-making system for ultrasound carotid artery images. It can be used as secondary observer in clinical decision making.

  5. Hydrologic Drought Decision Support System (HyDroDSS)

    Science.gov (United States)

    Granato, Gregory E.

    2014-01-01

    The hydrologic drought decision support system (HyDroDSS) was developed by the U.S. Geological Survey (USGS) in cooperation with the Rhode Island Water Resources Board (RIWRB) for use in the analysis of hydrologic variables that may indicate the risk for streamflows to be below user-defined flow targets at a designated site of interest, which is defined herein as data-collection site on a stream that may be adversely affected by pumping. Hydrologic drought is defined for this study as a period of lower than normal streamflows caused by precipitation deficits and (or) water withdrawals. The HyDroDSS is designed to provide water managers with risk-based information for balancing water-supply needs and aquatic-habitat protection goals to mitigate potential effects of hydrologic drought. This report describes the theory and methods for retrospective streamflow-depletion analysis, rank correlation analysis, and drought-projection analysis. All three methods are designed to inform decisions made by drought steering committees and decisionmakers on the basis of quantitative risk assessment. All three methods use estimates of unaltered streamflow, which is the measured or modeled flow without major withdrawals or discharges, to approximate a natural low-flow regime. Retrospective streamflow-depletion analysis can be used by water-resource managers to evaluate relations between withdrawal plans and the potential effects of withdrawal plans on streams at one or more sites of interest in an area. Retrospective streamflow-depletion analysis indicates the historical risk of being below user-defined flow targets if different pumping plans were implemented for the period of record. Retrospective streamflow-depletion analysis also indicates the risk for creating hydrologic drought conditions caused by use of a pumping plan. Retrospective streamflow-depletion analysis is done by calculating the net streamflow depletions from withdrawals and discharges and applying these depletions

  6. An intelligent, knowledge-based multiple criteria decision making advisor for systems design

    Science.gov (United States)

    Li, Yongchang

    In systems engineering, design and operation of systems are two main problems which always attract researcher's attentions. The accomplishment of activities in these problems often requires proper decisions to be made so that the desired goal can be achieved, thus, decision making needs to be carefully fulfilled in the design and operation of systems. Design is a decision making process which permeates through out the design process, and is at the core of all design activities. In modern aircraft design, more and more attention is paid to the conceptual and preliminary design phases so as to increase the odds of choosing a design that will ultimately be successful at the completion of the design process, therefore, decisions made during these early design stages play a critical role in determining the success of a design. Since aerospace systems are complex systems with interacting disciplines and technologies, the Decision Makers (DMs) dealing with such design problems are involved in balancing the multiple, potentially conflicting attributes/criteria, transforming a large amount of customer supplied guidelines into a solidly defined set of requirement definitions. Thus, one could state with confidence that modern aerospace system design is a Multiple Criteria Decision Making (MCDM) process. A variety of existing decision making methods are available to deal with this type of decision problems. The selection of the most appropriate decision making method is of particular importance since inappropriate decision methods are likely causes of misleading engineering design decisions. With no sufficient knowledge about each of the methods, it is usually difficult for the DMs to find an appropriate analytical model capable of solving their problems. In addition, with the complexity of the decision problem and the demand for more capable methods increasing, new decision making methods are emerging with time. These various methods exacerbate the difficulty of the selection

  7. A free software tool for the development of decision support systems

    Directory of Open Access Journals (Sweden)

    COLONESE, G

    2008-06-01

    Full Text Available This article describes PostGeoOlap, a free software open source tool for decision support that integrates OLAP (On-Line Analytical Processing and GIS (Geographical Information Systems. Besides describing the tool, we show how it can be used to achieve effective and low cost decision support that is adequate for small and medium companies and for small public offices.

  8. Effectiveness of an Electronic Performance Support System on Computer Ethics and Ethical Decision-Making Education

    Science.gov (United States)

    Kert, Serhat Bahadir; Uz, Cigdem; Gecu, Zeynep

    2014-01-01

    This study examined the effectiveness of an electronic performance support system (EPSS) on computer ethics education and the ethical decision-making processes. There were five different phases to this ten month study: (1) Writing computer ethics scenarios, (2) Designing a decision-making framework (3) Developing EPSS software (4) Using EPSS in a…

  9. Decision support for mastitis on farms with an automatic milking system

    NARCIS (Netherlands)

    Steeneveld, W.|info:eu-repo/dai/nl/304833169

    2010-01-01

    For an optimal mastitis management on farms with an automatic milking system (AMS), two individual cow decisions are important. First, there is a need for decision support on which mastitis alerts have the highest priority for visual checking for clinical mastitis (CM). In essence, all cows with

  10. Computer Aided Learning of Multiple Criteria Decision Making: An Integrated System and Its Effectiveness.

    Science.gov (United States)

    Quaddus, M. A.

    1997-01-01

    This discussion of multiple criteria decision making (MCDM) focuses on an integrated system called MOLP/PC for learning MCDM tools for real world decision making. Results of an empirical test to measure the effectiveness of MOLP/PC are discussed, and the use of MOLP/PC for college courses in Singapore and Australia is described. (Author/LRW)

  11. Multi Criteria Decision Support Model for the Turkish Air Force Personnel Course/Education Planning System

    Science.gov (United States)

    2011-03-01

    xi I. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Background...EDUCATION PLANNING SYSTEM I. Introduction 1.1 Background ”Genius without education is like silver in the mine.” Benjamin Franklin Personnel education is...alternative among the many alternatives. The acronyms, MADM (Multiple Attribute Decision Making), MODS (Multi Objective Decision Support), and MCDM

  12. Intelligent Model Management in a Forest Ecosystem Management Decision Support System

    Science.gov (United States)

    Donald Nute; Walter D. Potter; Frederick Maier; Jin Wang; Mark Twery; H. Michael Rauscher; Peter Knopp; Scott Thomasma; Mayukh Dass; Hajime Uchiyama

    2002-01-01

    Decision making for forest ecosystem management can include the use of a wide variety of modeling tools. These tools include vegetation growth models, wildlife models, silvicultural models, GIS, and visualization tools. NED-2 is a robust, intelligent, goal-driven decision support system that integrates tools in each of these categories. NED-2 uses a blackboard...

  13. A quality-of-data aware mobile decision support system for patients with chronic illnesses

    NARCIS (Netherlands)

    Larburu Rubio, Nekane; van Schooten, B.W.; Shalom, Erez; Fung, L.S.N.; van Sinderen, Marten J.; Hermens, Hermanus J.; Jones, Valerie M.; Riano, David; Lenz, Richard; Miksch, Silvia; Peleg, Mor; Reichert, M.U.; ten Teije, Annette

    2015-01-01

    We present a mobile decision support system (mDSS) which runs on a patient Body Area Network consisting of a smartphone and a set of biosensors. Quality-of-Data (QoD) awareness in decision making is achieved by means of a component known as the Quality-of-Data Broker, which also runs on the

  14. Optimization-based decision support systems for planning problems in processing industries

    NARCIS (Netherlands)

    Claassen, G.D.H.

    2014-01-01

    Summary Optimization-based decision support systems for planning problems in processing industries Nowadays, efficient planning of material flows within and between supply chains is of vital importance and has become one of the most challenging problems for decision support in practice. The

  15. The Development of a Coding System for the Assessment of Organizational Decision-Making as Negotiation.

    Science.gov (United States)

    Karlin, Allen J.

    This paper is an account of the theoretical and practical underpinnings of the Decision-Proposal Modification Coding System (DPM), which allows researchers to study more accurately the many aspects of group decision making in organizations. Following an introduction that reviews and supports arguments for process-oriented research on decision…

  16. Cyborg practices: call-handlers and computerised decision support systems in urgent and emergency care.

    Science.gov (United States)

    Pope, Catherine; Halford, Susan; Turnbull, Joanne; Prichard, Jane

    2014-06-01

    This article draws on data collected during a 2-year project examining the deployment of a computerised decision support system. This computerised decision support system was designed to be used by non-clinical staff for dealing with calls to emergency (999) and urgent care (out-of-hours) services. One of the promises of computerised decisions support technologies is that they can 'hold' vast amounts of sophisticated clinical knowledge and combine it with decision algorithms to enable standardised decision-making by non-clinical (clerical) staff. This article draws on our ethnographic study of this computerised decision support system in use, and we use our analysis to question the 'automated' vision of decision-making in healthcare call-handling. We show that embodied and experiential (human) expertise remains central and highly salient in this work, and we propose that the deployment of the computerised decision support system creates something new, that this conjunction of computer and human creates a cyborg practice.

  17. Factors Predicting Oncology Care Providers' Behavioral Intention to Adopt Clinical Decision Support Systems

    Science.gov (United States)

    Wolfenden, Andrew

    2012-01-01

    The purpose of this quantitative correlation study was to examine the predictors of user behavioral intention on the decision of oncology care providers to adopt or reject the clinical decision support system. The Unified Theory of Acceptance and Use of Technology (UTAUT) formed the foundation of the research model and survey instrument. The…

  18. Development of a Decision Support System for Monitoring, Reporting, Forecasting Ecological Conditions of the Appalachian Trail

    Science.gov (United States)

    Y. Wang; R. Nemani; F. Dieffenbach; K. Stolte; G. Holcomb

    2010-01-01

    This paper introduces a collaborative multi-agency effort to develop an Appalachian Trail (A.T.) MEGA-Transect Decision Support System (DSS) for monitoring, reporting and forecasting ecological conditions of the A.T. and the surrounding lands. The project is to improve decision-making on management of the A.T. by providing a coherent framework for data integration,...

  19. A Framework For Design Of Operator Planning/Decision Aids: Expert Systems Approach

    Science.gov (United States)

    Yufik, Yan M.; Sheridan, Thomas B.

    1984-06-01

    This paper suggests an approach to modeling reactor control planning and decision-making which serves as a framework for the design of computer based decision aids. The suggested approach combines two distinct theoretical concepts. The first uses a probabilistic graph to characterize the operator's "internal model" of the system behavior; the second invokes the idea of implicit utility maximization as a generic computational heuristic operating on the graph. The model is used to derive some basic design principles of decision aids that might complement operator decision processes in planning control operations.

  20. A holistic eco-system approach

    African Journals Online (AJOL)

    2014-08-07

    Aug 7, 2014 ... Background: Psychological violence has emerged as a priority concern in all workplaces because of its adverse consequences on victims' health. So far, limited research has been conducted on the effect of psychological violence on the five interrelated contexts of human existence. Objectives: This ...

  1. Implementing an integrative multi-agent clinical decision support system with open source software.

    Science.gov (United States)

    Sayyad Shirabad, Jelber; Wilk, Szymon; Michalowski, Wojtek; Farion, Ken

    2012-02-01

    Clinical decision making is a complex multi-stage process. Decision support can play an important role at each stage of this process. At present, the majority of clinical decision support systems have been focused on supporting only certain stages. In this paper we present the design and implementation of MET3-a prototype multi-agent system providing an integrative decision support that spans over the entire decision making process. The system helps physicians with data collection, diagnosis formulation, treatment planning and finding supporting evidence. MET3 integrates with external hospital information systems via HL7 messages and runs on various computing platforms available at the point of care (e.g., tablet computers, mobile phones). Building MET3 required sophisticated and reliable software technologies. In the past decade the open source software movement has produced mature, stable, industrial strength software systems with a large user base. Therefore, one of the decisions that should be considered before developing or acquiring a decision support system is whether or not one could use open source technologies instead of proprietary ones. We believe MET3 shows that the answer to this question is positive.

  2. The role of information systems in management decision making-an theoretical approach

    Directory of Open Access Journals (Sweden)

    PhD. Associate Professor Department of Management & Informatics Mihane Berisha-Namani

    2010-12-01

    Full Text Available In modern conditions of globalisation and development of information technology, information processing activities have come to be seen as essential to successful of businesses and organizations. Information has become essential to make decisions and crucial asset in organisations, whereas information systems is technology required for information processing. The application of information systems technology in business and organisations has opened up new possibilities for running and managing organisations, as well as has improved management decision making. The purpose of this paper is to give an understanding of the role that information systems have in management decision making and to discuss the possibilities how managers of organisations can make best use of information systems. The paper starts with identifying the functions of management and managerial roles and continue with information systems usage in three levels of decision making. It specifically addresses the way how information systems can help managers reduce uncertainty in decision making and includes some important implications of information systems usage for managers. Thus, this study provide a framework of effective use of information systems generally and offers an alternative approach to investigate the impact that information systems technology have in management decision making specifically

  3. An Integrated Web-based Decision Support System in Disaster Risk Management

    Science.gov (United States)

    Aye, Z. C.; Jaboyedoff, M.; Derron, M. H.

    2012-04-01

    Nowadays, web based decision support systems (DSS) play an essential role in disaster risk management because of their supporting abilities which help the decision makers to improve their performances and make better decisions without needing to solve complex problems while reducing human resources and time. Since the decision making process is one of the main factors which highly influence the damages and losses of society, it is extremely important to make right decisions at right time by combining available risk information with advanced web technology of Geographic Information System (GIS) and Decision Support System (DSS). This paper presents an integrated web-based decision support system (DSS) of how to use risk information in risk management efficiently and effectively while highlighting the importance of a decision support system in the field of risk reduction. Beyond the conventional systems, it provides the users to define their own strategies starting from risk identification to the risk reduction, which leads to an integrated approach in risk management. In addition, it also considers the complexity of changing environment from different perspectives and sectors with diverse stakeholders' involvement in the development process. The aim of this platform is to contribute a part towards the natural hazards and geosciences society by developing an open-source web platform where the users can analyze risk profiles and make decisions by performing cost benefit analysis, Environmental Impact Assessment (EIA) and Strategic Environmental Assessment (SEA) with the support of others tools and resources provided. There are different access rights to the system depending on the user profiles and their responsibilities. The system is still under development and the current version provides maps viewing, basic GIS functionality, assessment of important infrastructures (e.g. bridge, hospital, etc.) affected by landslides and visualization of the impact

  4. The Four Marks of Holistic Kinesiology

    Science.gov (United States)

    Twietmeyer, Gregg

    2012-01-01

    What, to borrow a theological phrase, are the marks of a truly holistic kinesiology department? "In Kinesis and the Nature of the Human Person" (2010), I examined the theoretical impact of Aristotle's definition of "kinesis" and Polanyi's theory of "tacit knowledge" on kinesiology. The intention here, however, is practical rather than theoretical.…

  5. Holistic Sustainability Assessment of Agricultural Rainwater Harvesting

    Science.gov (United States)

    We present a methodology for holistic sustainability assessment of green infrastructure, applied to agricultural rainwater harvesting (RWH) in the Albemarle-Pamlico river basin. It builds upon prior work in the region through the use of detailed, crop-level management information...

  6. Holistic Development of Adolescents for Social Intelligence ...

    African Journals Online (AJOL)

    Over 225 million adolescents reside in India which is greater than the total population of Germany, United Kingdom, and Canada put together. It is imperative that this immense human potential be given an enabled environment, empowered and effectively mobilized for the holistic development of adolescents and ...

  7. Toward a Holistic Framework for Moral Education

    Science.gov (United States)

    Clarken, Rodney H.

    2007-01-01

    Society is in turmoil that can be termed a moral crisis the result of dogmatic materialistic worldviews. A more holistic framework for moral development based on the tripartite theory that considers cognitive, affective and conative domains and capacities is presented along with some guiding principles as an answer to the needs of the modern…

  8. Language Learning Strategies: An Holistic View

    Science.gov (United States)

    Griffiths, Carol; Cansiz, Gökhan

    2015-01-01

    The language learning strategy question has been debated on a number of levels, including definition, the strategy/success relationship and strategy coordination. In addition, awareness has been steadily growing of the importance of taking an holistic view of the strategy phenomenon and examining strategies not just in isolation but as part of an…

  9. A Holistic Equilibrium Theory of Organization Development

    Science.gov (United States)

    Yang, Baiyin; Zheng, Wei

    2005-01-01

    This paper proposes a holistic equilibrium theory of organizational development (OD). The theory states that there are three driving forces in organizational change and development--rationality, reality, and liberty. OD can be viewed as a planned process of change in an organization so as to establish equilibrium among these three interacting…

  10. A holistic approach to natural resource conflict

    DEFF Research Database (Denmark)

    Bond, Jennifer Lauren

    2014-01-01

    through a likert-type questionnaire survey (N = 352), semi-structured interviews, extensive field notes and participant observation. Using an adapted version of the Unifying Negotiation Framework (UNF) to conduct an in-depth context analysis, the article shows the multitude of ecological, social...... incorporating social, ecological and institutional elements, valuable insights can be gleaned, leading to a more holistic conflict management approach....

  11. Neural Systems Underlying Individual Differences in Intertemporal Decision-making.

    Science.gov (United States)

    Elton, Amanda; Smith, Christopher T; Parrish, Michael H; Boettiger, Charlotte A

    2017-03-01

    Excessively choosing immediate over larger future rewards, or delay discounting (DD), associates with multiple clinical conditions. Individual differences in DD likely depend on variations in the activation of and functional interactions between networks, representing possible endophenotypes for associated disorders, including alcohol use disorders (AUDs). Numerous fMRI studies have probed the neural bases of DD, but investigations of large-scale networks remain scant. We addressed this gap by testing whether activation within large-scale networks during Now/Later decision-making predicts individual differences in DD. To do so, we scanned 95 social drinkers (18-40 years old; 50 women) using fMRI during hypothetical choices between small monetary amounts available "today" or larger amounts available later. We identified neural networks engaged during Now/Later choice using independent component analysis and tested the relationship between component activation and degree of DD. The activity of two components during Now/Later choice correlated with individual DD rates: A temporal lobe network positively correlated with DD, whereas a frontoparietal-striatal network negatively correlated with DD. Activation differences between these networks predicted individual differences in DD, and their negative correlation during Now/Later choice suggests functional competition. A generalized psychophysiological interactions analysis confirmed a decrease in their functional connectivity during decision-making. The functional connectivity of these two networks negatively correlates with alcohol-related harm, potentially implicating these networks in AUDs. These findings provide novel insight into the neural underpinnings of individual differences in impulsive decision-making with potential implications for addiction and related disorders in which impulsivity is a defining feature.

  12. Design Evolution of a Fighter Training Scheduling Decision Support System.

    Science.gov (United States)

    1987-03-01

    Minear Miller Minear 0845 Prederick/ Heart 0815 Homer Adams 1215 Lutz Charpy 1145 Paix/ Valusek * Briand Schoek Conors Evert 1345 Shiramago/ Fella...BK-C 408 0 555 855 1 585 605 B E-i BK-C 407 0 570 870 1 580 810 SA B-i OSC 408 0 570 870 1 580 810 SA B-I OSC 409 0 570 870 1 580 810 SA B-i OSC 410 0...are necessary to interpret the problem fully and understand it’s impact on both the decision and the environment. Through successive interviews and

  13. Toward a theory of holistic needs and the brain.

    Science.gov (United States)

    Silton, Nava R; Flannelly, Laura T; Flannelly, Kevin J; Galek, Kathleen

    2011-01-01

    This article reviews Maslow's theory of motivation wherein he proposes a hierarchy of human needs. First, it describes the principal elements of Maslow's theory and discusses considerations relating to the flexibility of the hierarchy. Second, it explains the relationship among Maslow's theory of human needs, attachment theory, and evolutionary threat assessment system theory. Third, it provides an overview of the brain structures posited to be involved in attachment and evolutionary threat assessment system theory and their relation to Maslow's hierarchy. Finally, it explains how the 3 theories converge to form a theory of holistic needs.

  14. Multi Criteria Evaluation Module for RiskChanges Spatial Decision Support System

    Science.gov (United States)

    Olyazadeh, Roya; Jaboyedoff, Michel; van Westen, Cees; Bakker, Wim

    2015-04-01

    Multi-Criteria Evaluation (MCE) module is one of the five modules of RiskChanges spatial decision support system. RiskChanges web-based platform aims to analyze changes in hydro-meteorological risk and provides tools for selecting the best risk reduction alternative. It is developed under CHANGES framework (changes-itn.eu) and INCREO project (increo-fp7.eu). MCE tool helps decision makers and spatial planners to evaluate, sort and rank the decision alternatives. The users can choose among different indicators that are defined within the system using Risk and Cost Benefit analysis results besides they can add their own indicators. Subsequently the system standardizes and prioritizes them. Finally, the best decision alternative is selected by using the weighted sum model (WSM). The Application of this work is to facilitate the effect of MCE for analyzing changing risk over the time under different scenarios and future years by adopting a group decision making into practice and comparing the results by numeric and graphical view within the system. We believe that this study helps decision-makers to achieve the best solution by expressing their preferences for strategies under future scenarios. Keywords: Multi-Criteria Evaluation, Spatial Decision Support System, Weighted Sum Model, Natural Hazard Risk Management

  15. A decision support system for the promotion of Employee in Plaza Asia Method Using Weighted Product

    Directory of Open Access Journals (Sweden)

    Egi Badar Sambani

    2016-06-01

    Full Text Available Decision-making in a company is important because decisions taken by managers is the result of a final thought to be carried out by employees. Asia is the largest mall Plaza sepriangan east, where the assessment process includes the promotion employee attendance, productivity (work, integrity (nature, skill (ability and loyalty (faithfulness. Method Using Weighted Product (WP can help in decision-making to determine the promotion of employees in the company, as well as the appraisal process more efficient so the store manager can determine employee promotions quickly. By using decision support system that has a database, employee data can be stored in the database. So that in case of errors in inputting can be corrected without having to re-enter the data. With the Decision Support System will address the issues raised in the Plaza Asia, so the promotion process will be faster.

  16. Computerized clinical decision support systems for chronic disease management: a decision-maker-researcher partnership systematic review.

    Science.gov (United States)

    Roshanov, Pavel S; Misra, Shikha; Gerstein, Hertzel C; Garg, Amit X; Sebaldt, Rolf J; Mackay, Jean A; Weise-Kelly, Lorraine; Navarro, Tamara; Wilczynski, Nancy L; Haynes, R Brian

    2011-08-03

    The use of computerized clinical decision support systems (CCDSSs) may improve chronic disease management, which requires recurrent visits to multiple health professionals, ongoing disease and treatment monitoring, and patient behavior modification. The objective of this review was to determine if CCDSSs improve the processes of chronic care (such as diagnosis, treatment, and monitoring of disease) and associated patient outcomes (such as effects on biomarkers and clinical exacerbations). We conducted a decision-maker-researcher partnership systematic review. We searched MEDLINE, EMBASE, Ovid's EBM Reviews database, Inspec, and reference lists for potentially eligible articles published up to January 2010. We included randomized controlled trials that compared the use of CCDSSs to usual practice or non-CCDSS controls. Trials were eligible if at least one component of the CCDSS was designed to support chronic disease management. We considered studies 'positive' if they showed a statistically significant improvement in at least 50% of relevant outcomes. Of 55 included trials, 87% (n = 48) measured system impact on the process of care and 52% (n = 25) of those demonstrated statistically significant improvements. Sixty-five percent (36/55) of trials measured impact on, typically, non-major (surrogate) patient outcomes, and 31% (n = 11) of those demonstrated benefits. Factors of interest to decision makers, such as cost, user satisfaction, system interface and feature sets, unique design and deployment characteristics, and effects on user workflow were rarely investigated or reported. A small majority (just over half) of CCDSSs improved care processes in chronic disease management and some improved patient health. Policy makers, healthcare administrators, and practitioners should be aware that the evidence of CCDSS effectiveness is limited, especially with respect to the small number and size of studies measuring patient outcomes.

  17. Statistical Decision Support Tools for System-Oriented Runway Management Project

    Data.gov (United States)

    National Aeronautics and Space Administration — The feasibility of developing a statistical decision support system for traffic flow management in the terminal area and runway load balancing was demonstrated in...

  18. A decision support system for stress only myocardial perfusion scintigraphy may save unnecessary rest studies

    DEFF Research Database (Denmark)

    Tägil, K; Jakobsson, D; Lomsky, M

    2013-01-01

    The aim of this study was to investigate the influence of a computer-based decision support system (DSS) on performance and inter-observer variability of interpretations regarding ischaemia and infarction in myocardial perfusion scintigraphy (MPS)....

  19. Framework for securing personal health data in clinical decision support systems.

    Science.gov (United States)

    Sandell, Protik

    2007-01-01

    If appropriate security mechanisms aren't in place, individuals and groups can get unauthorized access to personal health data residing in clinical decision support systems (CDSS). These concerns are well founded; there has been a dramatic increase in reports of security incidents. The paper provides a framework for securing personal health data in CDSS. The framework breaks down CDSS into data gathering, data management and data delivery functions. It then provides the vulnerabilities that can occur in clinical decision support activities and the measures that need to be taken to protect the data. The framework is applied to protect the confidentiality, integrity and availability of personal health data in a decision support system. Using the framework, project managers and architects can assess the potential risk of unauthorized data access in their decision support system. Moreover they can design systems and procedures to effectively secure personal health data.

  20. Texas Urban Triangle : pilot study to implement a spatial decision support system (SDSS) for sustainable mobility.

    Science.gov (United States)

    2011-03-01

    This project addressed sustainable transportation in the Texas Urban Triangle (TUT) by conducting a pilot : project at the county scale. The project tested and developed the multi-attribute Spatial Decision Support : System (SDSS) developed in 2009 u...

  1. A multiple criteria decision making approach to manure management systems in the Netherlands

    NARCIS (Netherlands)

    Gebrezgabher, S.A.; Meuwissen, M.P.M.; Oude Lansink, A.G.J.M.

    2014-01-01

    The intensification of livestock operations in the last few decades has resulted in an increased social concern over the environmental impacts of livestock operations and thus making appropriate manure management decisions increasingly important. A socially acceptable manure management system that

  2. Building a normative decision support system for clinical and operational risk management in hemodialysis.

    Science.gov (United States)

    Cornalba, Chiara; Bellazzi, Roberto G; Bellazzi, Riccardo

    2008-09-01

    This paper describes the design and implementation of a decision support system for risk management in hemodialysis (HD) departments. The proposed system exploits a domain ontology to formalize the problem as a Bayesian network. It also relies on a software tool, able to automatically collect HD data, to learn the network conditional probabilities. By merging prior knowledge and the available data, the system allows to estimate risk profiles both for patients and HD departments. The risk management process is completed by an influence diagram that enables scenario analysis to choose the optimal decisions that mitigate a patient's risk. The methods and design of the decision support tool are described in detail, and the derived decision model is presented. Examples and case studies are also shown. The tool is one of the few examples of normative system explicitly conceived to manage operational and clinical risks in health care environments.

  3. System Analysis and Decision-Making During Synthesis of High-Performance Hybrid Boilers

    Science.gov (United States)

    Safin, T. R.; Konakhina, I. A.; Khamidullina, G. R.

    2017-09-01

    The decision-making analysis for synthesis of high-performance hybrid boiler plants is based on current philosophy of system analysis and synthesis of combined heat and power plants. Energetic and exergetic utilization is used as performance criteria.

  4. A Decision Support System for Managing a Diverse Portfolio of Technology Resources

    Science.gov (United States)

    Smith, J.

    2000-01-01

    This paper describes an automated decision support system designed to facilitate the management of a continuously changing portfolio of technologies as new technologies are deployed and older technologies are decommissioned.

  5. Integrated corridor management initiative : demonstration phase evaluation, San Diego decision support system analysis test plan.

    Science.gov (United States)

    2012-08-01

    This report presents the test plan for conducting the Decision Support System Analysis for the United States Department of Transportation (U.S. DOT) evaluation of the San Diego Integrated Corridor Management (ICM) Initiative Demonstration. The ICM pr...

  6. Integrated corridor management initiative : demonstration phase evaluation - Dallas decision support system analysis test plan.

    Science.gov (United States)

    2012-08-01

    This report presents the test plan for conducting the Decision Support System (DSS) Analysis for the : United States Department of Transportation (U.S. DOT) evaluation of the Dallas U.S. 75 Integrated : Corridor Management (ICM) Initiative Demonstrat...

  7. Clinical decision support systems for patient safety: a focus group needs assessment with Korean ICU nurses.

    Science.gov (United States)

    Choi, Mona; Choi, Ran; Bae, Young-Ran; Lee, Sun-Mi

    2011-11-01

    An ICU is known as a data-rich environment, and information technology can improve the quality of care by utilizing stored clinical data and providing decision support effectively and in a timely manner to clinicians. The necessity of clinical decision support systems is emphasized now more than ever because patient safety and nursing-sensitive outcomes in the clinical setting have become a critical issue. The purpose of this study was to explore nursing-sensitive outcomes issues related to patient safety in critical care and to understand the types and contents of clinical decision support systems that nurses desire in a clinical practice setting. Focus group interviews were conducted with 37 nurses who worked in one university hospital system in Korea. Our findings are summarized into threats to patient safety, nursing-sensitive outcomes, and the types and contents of clinical decision support systems, which are categorized into the following groups: (1) reminders, notification, alert, and warning systems; (2) point-of-care guidelines; and (3) references for information/guidelines. Nurses consistently stated that clinical decision support systems can help improve nursing outcomes by applying standardized nursing care. Our study is expected to provide a practical suggestion for developing and designing a new clinical decision support system or for refining an existing one.

  8. Expert Systems, Job Aids, and the Future of Instructional Technology; and Decision Tables, the Poor Person's Answer to "Expert Systems."

    Science.gov (United States)

    Harmon, Paul; Pipe, Peter

    1986-01-01

    Describes design and presents examples of industrial use of small expert systems and guidelines for choosing problems which lend themselves to small tool solutions. Use of microcomputer facilitated decision tables to diagnose and categorize people, things, and issues is suggested, and development of three decision table formats is described. (MBR)

  9. A speech recognition system based on hybrid wavelet network including a fuzzy decision support system

    Science.gov (United States)

    Jemai, Olfa; Ejbali, Ridha; Zaied, Mourad; Ben Amar, Chokri

    2015-02-01

    This paper aims at developing a novel approach for speech recognition based on wavelet network learnt by fast wavelet transform (FWN) including a fuzzy decision support system (FDSS). Our contributions reside in, first, proposing a novel learning algorithm for speech recognition based on the fast wavelet transform (FWT) which has many advantages compared to other algorithms and in which major problems of the previous works to compute connection weights were solved. They were determined by a direct solution which requires computing matrix inversion, which may be intensive. However, the new algorithm was realized by the iterative application of FWT to compute connection weights. Second, proposing a new classification way for this speech recognition system. It operated a human reasoning mode employing a FDSS to compute similarity degrees between test and training signals. Extensive empirical experiments were conducted to compare the proposed approach with other approaches. Obtained results show that the new speech recognition system has a better performance than previously established ones.

  10. Viability of decision-making systems in human and animal groups.

    Science.gov (United States)

    Sueur, Cédric

    2012-08-07

    Shared and unshared consensuses are present in both human and animal societies. To date, few studies have applied an evolutionary perspective to the viability of these systems. This study therefore aimed to assess if decision-making allows group members to satisfy all their needs and to survive, decision after decision, day after day. The novelty of this study is the inclusion of multiple decision-making events with varying conditions and the parameterization of the model based on data in macaques, bringing the model closer to ecologically reality. The activity budgets of group members in the model did not differ significantly from those observed in macaques, making the model robust and providing mechanistic insight. Three different decision-making systems were then tested: (1) One single leader, (2) Leading according to needs and (3) Voting process. Results show that when individuals have equal needs, all decision-making systems are viable. However, one single leader cannot impose its decision when the needs of other group members differ too much from its own needs. The leading according to needs system is always viable whatever the group heterogeneity. However, the individual with the highest body mass decides in the majority of cases. Finally, the voting process also appears to be viable, with a majority threshold that differs according to group size and to different individual needs. This study is the first clear prediction of the different types of consensus in animal groups used in various different conditions. Copyright © 2012 Elsevier Ltd. All rights reserved.

  11. Integrated Multimedia Based Intelligent Group Decision Support System for Electrical Power Network

    Directory of Open Access Journals (Sweden)

    Ajay Kumar Saxena

    2002-05-01

    Full Text Available Electrical Power Network in recent time requires an intelligent, virtual environment based decision process for the coordination of all its individual elements and the interrelated tasks. Its ultimate goal is to achieve maximum productivity and efficiency through the efficient and effective application of generation, transmission, distribution, pricing and regulatory systems. However, the complexity of electrical power network and the presence of conflicting multiple goals and objectives postulated by various groups emphasized the need of an intelligent group decision support system approach in this field. In this paper, an Integrated Multimedia based Intelligent Group Decision Support System (IM1GDSS is presented, and its main components are analyzed and discussed. In particular attention is focused on the Data Base, Model Base, Central Black Board (CBB and Multicriteria Futuristic Decision Process (MFDP module. The model base interacts with Electrical Power Network Load Forecasting and Planning (EPNLFP Module; Resource Optimization, Modeling and Simulation (ROMAS Module; Electrical Power Network Control and Evaluation Process (EPNCAEP Module, and MFDP Module through CBB for strategic planning, management control, operational planning and transaction processing. The richness of multimedia channels adds a totally new dimension in a group decision making for Electrical Power Network. The proposed IMIGDSS is a user friendly, highly interactive group decision making system, based on efficient intelligent and multimedia communication support for group discussions, retrieval of content and multi criteria decision analysis.

  12. Biometric identification: a holistic perspective

    Science.gov (United States)

    Nadel, Lawrence D.

    2007-04-01

    Significant advances continue to be made in biometric technology. However, the global war on terrorism and our increasingly electronic society have created the societal need for large-scale, interoperable biometric capabilities that challenge the capabilities of current off-the-shelf technology. At the same time, there are concerns that large-scale implementation of biometrics will infringe our civil liberties and offer increased opportunities for identity theft. This paper looks beyond the basic science and engineering of biometric sensors and fundamental matching algorithms and offers approaches for achieving greater performance and acceptability of applications enabled with currently available biometric technologies. The discussion focuses on three primary biometric system aspects: performance and scalability, interoperability, and cost benefit. Significant improvements in system performance and scalability can be achieved through careful consideration of the following elements: biometric data quality, human factors, operational environment, workflow, multibiometric fusion, and integrated performance modeling. Application interoperability hinges upon some of the factors noted above as well as adherence to interface, data, and performance standards. However, there are times when the price of conforming to such standards can be decreased local system performance. The development of biometric performance-based cost benefit models can help determine realistic requirements and acceptable designs.

  13. Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey

    Science.gov (United States)

    Belle, Ashwin; Kon, Mark A.; Najarian, Kayvan

    2013-01-01

    The volumes of current patient data as well as their complexity make clinical decision making more challenging than ever for physicians and other care givers. This situation calls for the use of biomedical informatics methods to process data and form recommendations and/or predictions to assist such decision makers. The design, implementation, and use of biomedical informatics systems in the form of computer-aided decision support have become essential and widely used over the last two decades. This paper provides a brief review of such systems, their application protocols and methodologies, and the future challenges and directions they suggest. PMID:23431259

  14. A Bayesian decision-support system for diagnosing ventilator-associated pneumonia

    OpenAIRE

    Schurink, C.A.; Visscher, S.; Lucas, P.J.; van Leeuwen, H.J.; Buskens, E.; Hoff, R.G.; Hoepelman, A.I.; Bonten, M.J.

    2007-01-01

    OBJECTIVE: To determine the diagnostic performance of a Bayesian Decision-Support System (BDSS) for ventilator-associated pneumonia (VAP). DESIGN: A previously developed BDSS, automatically obtaining patient data from patient information systems, provides likelihood predictions of VAP. In a prospectively studied cohort of 872 ICU patients, VAP was diagnosed by two infectious-disease specialists using a decision tree (reference diagnosis). After internal validation daily BDSS predictions were ...

  15. Computer-Based Decision Support for Railroad Transportation Systems: an Investment Case Study

    Directory of Open Access Journals (Sweden)

    Luminita DUTA

    2009-01-01

    Full Text Available In the last decade the development of the economical and social life increased the complexity of transportation systems. In this context, the role of Decision Support Systems (DSS became more and more important. The paper presents the characteristics, necessity, and usage of DSS in transportation and describes a practical application in the railroad field. To compute the optimal transportation capacity and flow on a certain railroad, specialized decision-support software which is available on the market was used.

  16. EBDMSS: A Web-Based Decision Making Support System for Strategic E-Business Management

    OpenAIRE

    Fen Wang; Natalie Lupton; David Rawlinson; Xingguo Zhang

    2010-01-01

    This paper describes a Web-based intelligent decision making support system (DMSS) to deliver balanced scorecard (BSC) based modelling and analysis in support of strategic E-business management. This framework supports E-business managers during the strategy making process in a comprehensive, integrated, and continuous manner. The paper demonstrates how practitioners can use this system to deliver a wide range of embodied E-business strategy expertise in support of real-time decision making.

  17. The research of the design of intelligent financial decision support system

    Science.gov (United States)

    Chen, Liyu; Chen, Qiang

    2011-02-01

    In accordance with the increasingly updating of information technology, the intelligent control technology is the integrated utilization of modern administrative technology and method. This article discusses problems of the objective of design, the development method, environment and overall structure of the intelligent financial decision support system in order to provide certain theories for the improvement of the intelligent financial decision support system as a reference.

  18. Can computerized clinical decision support systems improve diabetes management? A systematic review and meta-analysis.

    Science.gov (United States)

    Jeffery, R; Iserman, E; Haynes, R B

    2013-06-01

    To systematically review randomized trials that assessed the effects of computerized clinical decision support systems in ambulatory diabetes management compared with a non-computerized clinical decision support system control. We included all diabetes trials from a comprehensive computerized clinical decision support system overview completed in January 2010, and searched EMBASE, MEDLINE, INSPEC/COMPENDEX and Evidence-Based Medicine Reviews (EBMR) from January 2010 to April 2012. Reference lists of related reviews, included articles and Clinicaltrials.gov were also searched. Randomized controlled trials of patients with diabetes in ambulatory care settings comparing a computerized clinical decision support system intervention with a non-computerized clinical decision support system control, measuring either a process of care or a patient outcome, were included. Screening of studies, data extraction, risk of bias and quality of evidence assessments were carried out independently by two reviewers, and discrepancies were resolved through consensus or third-party arbitration. Authors were contacted for any missing data. Fifteen trials were included (13 from the previous review and two from the current search). Only one study was at low risk of bias, while the others were of moderate to high risk of bias because of methodological limitations. HbA1c (3 months' follow-up), quality of life and hospitalization (12 months' follow-up) were pooled and all favoured the computerized clinical decision support systems over the control, although none were statistically significant. Triglycerides and practitioner performance tended to favour computerized clinical decision support systems although results were too heterogeneous to pool. Computerized clinical decision support systems in diabetes management may marginally improve clinical outcomes, but confidence in the evidence is low because of risk of bias, inconsistency and imprecision. © 2012 The Authors. Diabetic Medicine

  19. Development and Application of a Spreadsheet-Based Spatial Decision Support System (SDSS)

    OpenAIRE

    Dossay Oryspayev; Ramanathan Sugumaran; John DeGroote

    2011-01-01

    Spatial decision support systems (SDSS) are decision support tools which have been used widely in addressing complicated issues involving a spatial component. The use of SDSS has increased greatly over the last few decades especially in fields such as planning, natural resources management, and environmental science. Traditionally, SDSS have been developed with Geographic Information Systems (GIS) technology as a major component and used in application areas in which the use of GIS technology...

  20. Applying decision trial and evaluation laboratory as a decision tool for effective safety management system in aviation transport

    Directory of Open Access Journals (Sweden)

    Ifeanyichukwu Ebubechukwu Onyegiri

    2016-10-01

    Full Text Available In recent years, in the aviation industry, the weak engineering controls and lapses associated with safety management systems (SMSs are responsible for the seemingly unprecedented disasters. A previous study has confirmed the difficulties experienced by safety managers with SMSs and the need to direct research to this area of investigation for more insights and progress in the evaluation and maintenance of SMSs in the aviation industry. The purpose of this work is to examine the application of Decision Trial and Evaluation Laboratory (DEMATEL to the aviation industry in developing countries with illustration using the Nigerian aviation survey data for the validation of the method. The advantage of the procedure over other decision making methods is in its ability to apply feedback in its decision making. It also affords us the opportunity of breaking down the complex aviation SMS components and elements which are multi-variate in nature through the analysis of the contributions of the diverse system criteria from the perspective of cause and effects, which in turn yields easier and yet more effective aviation transportation accident pre-corrective actions. In this work, six revised components of an SMS were identified and DEMATEL was applied to obtain their direct and indirect impacts and influences on the overall SMS performance. Data collection was by the survey questionnaire, which served as the initial direct-relation matrix, coded in Matlab software for establishing the impact relation map (IRM. The IRM was then plotted in MS Excel spread-sheet software. From our results, safety structure and regulation has the highest impact level on an SMS with a corresponding positive relation level value. In conclusion, the results agree with those of previous researchers that used grey relational analysis. Thus, DEMATEL serves as a great tool and resource for the safety manager.