Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption of large masses of genetic data and its related problems. This book develops the methodological and conceptual aspects related to these issues.
1. Introduction - p. xix 2. 1: Understanding the Fundamental Nature of Information and its Processing - p. 1 3. 2: A Few Questions on Information Sharing - p. 15 4. 3: The Place of Healthcare Delivery Processes in Information Systems - p. 21 5. 4: The Quality of the Urbanization of the Information System is Central to its Performance - p. 35 6. 5: Reference Terminologies in Healthcare Information Systems - p. 57 7. 6: Patient Identification in Healthcare Information Systems - p. 75 8. 7: Information System Security and Data Protection - p. 91 9. 8: Knowledge Management and Medical Decision Support - p. 103 10. 9: Managing and Integrating Clinical Data: Health Records - p. 121 11. 10: Managing and Integrating Laboratory Data and Functional Investigations - p. 137 12. 11: Managing and Integrating Medical Images - p. 145 13. 12: Managing and Integrating Telemedicine and Telehealth - p. 153 14. 13: Integrating Extra-hospital Care Data - p. 169 15. 14: Reusing Data in Healthcare - p. 179 16. 15: Integrating Data for Management and Decision Analysis - p. 189 17. 16: Data for Epidemiology and Public Health, and Big Data - p. 197 18. 17: Integrating Bioinformatics Data - p. 213 19. 18: Clinical Research Data - p. 223 20. 19: Evaluating Information Systems - p. 239 21. 20: The Governance of Healthcare Information Systems, the Hospital, Outpatient and Industrial Contexts - p. 253 22. Appendix 1: Management of Selected International Terminologies - p. 271 23. Appendix 2: Further Information on DICOM Standards - p. 275 24. Appendix 3: Further Information on the système national des données de santé (National Healthcare Data System – SNDS) in France - p. 277 25. Appendix 4: Metadata - p. 279 26. Appendix 5: Clinical Observation Specifications - p. 285 27. Appendix 6: Ontologies - p. 287 28. Appendix 7: Document Banks – Medication Data - p. 291 29. Appendix 8: Hosting Health Data in France - p. 293 30. Appendix 9: Developing an Information System Master Plan - p. 295 31. Bibliography - p. 299 32. Index - p. 307
Health Data Processing: Systemic Approaches focuses on the design of health information systems and touches on the main themes of medical informatics and public health. The book is written for health professionals in practice or training, and is especially useful for decision-makers or future decision-makers in the field of health information systems. Users will find sections on the question of reusing data for other purposes, protection of individual liberties that this data and technologies make more acute, and the irruption of large masses of genetic data and its related problems. This book develops the methodological and conceptual aspects related to these issues.
1. Introduction - p. xix 2. 1: Understanding the Fundamental Nature of Information and its Processing - p. 1 3. 2: A Few Questions on Information Sharing - p. 15 4. 3: The Place of Healthcare Delivery Processes in Information Systems - p. 21 5. 4: The Quality of the Urbanization of the Information System is Central to its Performance - p. 35 6. 5: Reference Terminologies in Healthcare Information Systems - p. 57 7. 6: Patient Identification in Healthcare Information Systems - p. 75 8. 7: Information System Security and Data Protection - p. 91 9. 8: Knowledge Management and Medical Decision Support - p. 103 10. 9: Managing and Integrating Clinical Data: Health Records - p. 121 11. 10: Managing and Integrating Laboratory Data and Functional Investigations - p. 137 12. 11: Managing and Integrating Medical Images - p. 145 13. 12: Managing and Integrating Telemedicine and Telehealth - p. 153 14. 13: Integrating Extra-hospital Care Data - p. 169 15. 14: Reusing Data in Healthcare - p. 179 16. 15: Integrating Data for Management and Decision Analysis - p. 189 17. 16: Data for Epidemiology and Public Health, and Big Data - p. 197 18. 17: Integrating Bioinformatics Data - p. 213 19. 18: Clinical Research Data - p. 223 20. 19: Evaluating Information Systems - p. 239 21. 20: The Governance of Healthcare Information Systems, the Hospital, Outpatient and Industrial Contexts - p. 253 22. Appendix 1: Management of Selected International Terminologies - p. 271 23. Appendix 2: Further Information on DICOM Standards - p. 275 24. Appendix 3: Further Information on the système national des données de santé (National Healthcare Data System – SNDS) in France - p. 277 25. Appendix 4: Metadata - p. 279 26. Appendix 5: Clinical Observation Specifications - p. 285 27. Appendix 6: Ontologies - p. 287 28. Appendix 7: Document Banks – Medication Data - p. 291 29. Appendix 8: Hosting Health Data in France - p. 293 30. Appendix 9: Developing an Information System Master Plan - p. 295 31. Bibliography - p. 299 32. Index - p. 307
