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Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement

Book Description

Multi-Agent Systems for Healthcare Simulation and Modeling: Applications for System Improvement provides frameworks and research findings used by medical professionals in the implementation of multi-agent systems. Valuable to academicians, researchers, and field practitioners, this Premier Reference Source disseminates understanding on the strategic role of systems modeling in healthcare.

Table of Contents

  1. Copyright
  2. Editorial Advisory Board
  3. List of Reviewers
  4. Foreword
  5. Preface
  6. Acknowledgment
  7. Overview of Healthcare System Issues
    1. Current Practices in Select Healthcare Systems
      1. ABSTRACT
      2. INTRODUCTION
      3. CANADA
      4. UNITED STATES OF AMERICA
      5. UNITED KINGDOM
      6. COMPARISONS
      7. CONCLUSIONS
      8. REFERENCES
    2. Economic Efficiency and the Canadian Healthcare System
      1. ABSTRACT
      2. INTRODUCTION
      3. THE MECHANISM
      4. THE DYNAMICS AND PRACTICAL ISSUES OF SCHEDULING
      5. CONCLUSION
      6. REFERENCES
      7. ENDNOTES
    3. A Review of Recent Contribution in Agent Based Healthcare Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. REVIEW
      4. REFERENCES
  8. Healthcare Modeling Systems
    1. Agency in Health Care System Modeling and Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. METHODS
      4. DIABETIC PATIENT MODELING
      5. HOSPITAL SERVICES MODELING
      6. SCHEDULING OF HOSPITAL RESOURCES
      7. DISCUSSION
      8. CONCLUSION
      9. ACKNOWLEDGMENT
      10. REFERENCES
    2. Operating Room Simulation and Agent-Based Optimization
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. SIMULATION MODELING AND SYSTEM EVALUATION
      5. THE AGENT-BASED OPTIMIZATION FOR THE SYSTEM IMPROVEMENT
      6. FUTURE TREND
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
    3. Building a Health Care Multi-Agent Simulation System with Role-Based Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. ROLE-BASE MODELING APPROACH
      5. DEFINING ROLES AND ROLE SPACE
      6. DEFINING AND DEVELOPING AGENT CLASSES
      7. AUTOMATIC AGENT GENERATION PROCESS
      8. AGENT COORDINATION AND COOPERATION
      9. RUNTIME SCENARIO
      10. FUTURE TRENDS
      11. CONCLUSION
      12. REFERENCES
  9. Physician/Patient Support Systems
    1. HeCaSe2: A Multi-Agent System that Automates the Application of Clinical Guidelines
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. AGENT-BASED EXECUTION OF CLINICAL GUIDELINES: HECASE2
      5. FUTURE WORK
      6. CONCLUSION
      7. REFERENCES
      8. ENDNOTE
    2. An Agent-Based Modeling System for Wellness
      1. ABSTRACT
      2. INTRODUCTION
      3. OBJECTIVES
      4. RESEARCH PROGRESS AND PLAN
      5. ANALYSIS AND APPROACHES
      6. ARCHITECTURE
      7. GUI
      8. SYSTEM DESIGN
      9. INITIAL RESULTS
      10. CONCLUSION AND FUTURE WORK
      11. REFERENCES
    3. Using Probabilistic Neural Network to Select a Medical Specialist Agent
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. METHODOLOGY
      5. FUTURE TRENDS
      6. CONCLUSION
      7. REFERENCES
      8. APPENDIX A
      9. Appendix B
    4. A Multi-Agent Simulation of Kidney Function for Medical Education
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. KIDNEY FUNCTIONS
      5. VISUALIZATION SYSTEM TOOLS
      6. VISUALIZATION OF DIFFICULT CONCEPTS
      7. RESULTS
      8. FUTURE TRENDS
      9. CONCLUSION
      10. ACKNOWLEDGMENT
      11. REFERENCES
  10. Population Modeling Systems
    1. Role of Multi-Agents System in Creation of Collaborative Environments within Mental Health Domain
      1. ABSTRACT
      2. INTRODUCTION
      3. LITERATURE REVIEW
      4. UML
      5. TICSA APPROACH TO THE MULTI-AGENT SYSTEM DESIGN
      6. CONCLUSION
      7. REFERENCES
    2. Multi-Agent Systems in Developing Countries
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MEDSTAFF: AN EXAMPLE OF THE USE OF MULTI-AGENT SIMULATION IN DECISION MAKING IN DEVELOPING COUNTRIES
      5. MULTI-AGENT SIMULATION INITIALIZATION AND RUN
      6. FUTURE TRENDS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
    3. Projecting Health Care Factors into Future Outcomes with Agent-Based Modeling
      1. ABSTRACT
      2. INTRODUCTION
      3. FUTURE TRENDS IN DATA COLLECTION
      4. DISCUSSION
      5. ACKNOWLEDGMENT
      6. REFERENCES
  11. Compilation of References
  12. About the Contributors
  13. Index