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Applying Business Intelligence to Clinical and Healthcare Organizations

Book Description

Business intelligence (BI) tools are capable of working with healthcare data in an efficient manner to generate real-time information and knowledge relevant to the success of healthcare organizations. Further, BI tools benefit healthcare professionals making critical decisions within hospitals, clinics, and physicians’ offices. Applying Business Intelligence to Clinical and Healthcare Organizations presents new solutions for data analysis within the healthcare sector in order to improve the quality of medical care and patient quality of life. Business intelligence models and techniques are explored and their benefits for the healthcare sector exposed in this timely research-based publication comprised of chapters written by professionals and researchers from around the world. Hospital administrators, healthcare professionals, biomedical engineers, informatics engineers, and students in graduate-level healthcare management programs will find this publication essential to their professional development and research needs.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Editorial Advisory Board and List of Reviewers
    1. Editorial Advisory Board
    2. List of Reviewers
  6. Preface
    1. INTRODUCTION
    2. BIOMEDICAL INFORMATICS
    3. BUSINESS INTELLIGENCE
    4. APPLYING BUSINESS INTELLIGENCE TO CLINICAL AND HEALTHCARE ORGANIZATIONS
    5. ORGANIZATION OF THE BOOK
    6. CONCLUSION
    7. REFERENCES
  7. Chapter 1: Steps towards Interoperability in Healthcare Environment
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. INTEROPERABILITY IN HEALTHCARE ENVIRONMENT
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  8. Chapter 2: Evaluation of Nosocomial Infection Risk Using a Hybrid Approach
    1. ABSTRACT
    2. INTRODUCTION
    3. KNOWLEDGE REPRESENTATION AND REASONING
    4. A CASE STUDY
    5. ARTIFICIAL NEURAL NETWORKS
    6. CONCLUSION AND FUTURE WORK
    7. REFERENCES
  9. Chapter 3: Step towards Improving the Voluntary Interruption of Pregnancy by Means of Business Intelligence
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. KNOWLEDGE DISCOVERY IN DATABASES
    5. BUSINESS INTELLIGENCE
    6. BUSINESS INTELLIGENCE PLATFORM FOR VIP
    7. DISCUSSION
    8. FUTURE RESEARCH DIRECTIONS
    9. CONCLUSION
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ADDITIONAL READING
    13. KEY TERMS AND DEFINITIONS
  10. Chapter 4: A Clinical Recommendation System to Maternity Care
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND AND RELATED WORK
    4. MATERIALS, METHODS, AND METHODOLOGIES
    5. CLINICAL RECOMMENDATION SYSTEM FOR OBSTETRIC TRIAGE
    6. DISCUSSION AND CONCLUSION
    7. FUTURE RESEARCH DIRECTIONS
    8. ACKNOWLEDGMENT
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  11. Chapter 5: A New Approach to Generate Hospital Data Warehouse Schema
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. MAIN FOCUS OF THE CHAPTER
    5. COLLECTION OF USERS’ REQUIREMENTS
    6. BUILDING DATA MART CONCEPTUAL SCHEMAS
    7. GENERATING MULTIDIMENSIONAL SCHEMAS
    8. GENERATING HOSPITAL DATA MART LOGICAL SCHEMAS
    9. GENERATING HOSPITAL DATA WAREHOUSE SCHEMA
    10. IMPLEMENTATION
    11. CONCLUSION
    12. REFERENCES
  12. Chapter 6: Sensorization to Promote the Well-Being of People and the Betterment of Health Organizations
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. COMFORT VALUES
    5. WELL-BEING DASHBOARDS AND ASSESSMENTS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  13. Chapter 7: Optimizing the Use and Adoption of Healthcare Information Systems
    1. ABSTRACT
    2. INTRODUCTION
    3. METHOD
    4. RESULTS
    5. DISCUSSION AND CONCLUSION
    6. REFERENCES
  14. Chapter 8: Evaluation of the Length of Hospital Stay through Artificial Neural Networks Based Systems
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. KNOWLEDGE REPRESENTATION AND REASONING
    4. 3. A CASE STUDY
    5. 4. ARTIFICIAL NEURAL NETWORKS
    6. 5. CONCLUSION AND FUTURE WORK
    7. REFERENCES
  15. Chapter 9: An Approach for the Semantic Interoperability of SNOMED
    1. ABSTRACT
    2. INTRODUCTION
    3. SEMANTIC INTEROPERABILITY
    4. SNOMED CT
    5. IMPLEMENTATION
    6. RESULTS AND DISCUSSION
    7. CONCLUSION
    8. REFERENCES
  16. Chapter 10: Nosocomial Infection Prediction Using Data Mining Technologies
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. DATA MINING IN HEALTHCARE
    5. DATA MINING FOR NOSOCOMIAL INFECTION PREDICTION
    6. BUSINESS INTELLIGENCE PLATFORM FOR NOSOCOMIAL INFECTION PREDICTION
    7. FUTURE RESEARCH DIRECTIONS
    8. CONCLUSION
    9. REFERENCES
    10. ADDITIONAL READING
    11. KEY TERMS AND DEFINITIONS
  17. Chapter 11: Monitoring Time Consumption in Complementary Diagnostic and Therapeutic Procedure Requests
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. BUSINESS INTELLIGENCE
    5. ETL
    6. CASE STUDY
    7. RESULTS
    8. DISCUSSION
    9. CONCLUSION AND FUTURE RESEARCH
    10. ACKNOWLEDGMENT
    11. REFERENCES
    12. ADDITIONAL READING
    13. KEY TERMS AND DEFINITIONS
    14. ENDNOTES
  18. Chapter 12: Clinical Business Intelligence to Prevent Stroke Accidents
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. METHODOLOGY
    4. 3. KNOWLEDGE REPRESENTATION
    5. 4. CASE BASED REASONING
    6. 5. MULTIAGENT SYSTEM
    7. 6. CONCLUSION
    8. REFERENCES
  19. Chapter 13: Applying Soft Computing to Clinical Decision Support
    1. ABSTRACT
    2. INTRODUCTION
    3. DATASETS
    4. ARTIFICIAL NEURAL NETWORKS
    5. GENETIC ALGORITHMS
    6. CONCLUSION
    7. REFERENCES
  20. Chapter 14: A Multiplatform Decision Support Tool in Neonatology and Pediatric Care
    1. ABSTRACT
    2. INTRODUCTION
    3. STATE OF ART
    4. WORK MOTIVATION, OBJECTIVES AND EXPECTED RESULTS
    5. RESEARCH METHODOLOGIES
    6. MULTIPLATFORM OF CLINICAL DECISION SUPPORT
    7. SWOT ANALYSIS
    8. USABILITY STUDY
    9. CONCLUSION
    10. REFERENCES
  21. Chapter 15: Evolutionary Intelligence and Quality-Of-Information
    1. ABSTRACT
    2. INTRODUCTION
    3. BACKGROUND
    4. EVOLUTIONARY INTELLIGENCE AND QUALITY-OF-INFORMATION
    5. SOLUTIONS AND RECOMMENDATIONS
    6. FUTURE RESEARCH DIRECTIONS
    7. CONCLUSION
    8. REFERENCES
    9. KEY TERMS AND DEFINITIONS
  22. Compilation of References
  23. About the Contributors