Health Data Processing

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.

• Proposes a methodology for the development of health information systems for the better use of digital technologies
• Illustrates a systemic, transversal, conceptual vision that supports the complex reality of the healthcare world, where the interoperability of agents (professionals and software) is central
• Discusses the reuse of resources of data for knowledge improvement, health security and public health

Master students (medical students, public health students, ICT in health care students. Management in public health: directors of health structures and public health administrations, Hospital CIOs, IT departments of health ministries and regional departments of health

1. Understanding the Fundamental Nature of Information and its Processing
2. A Few Questions on Information Sharing
3. The Place of Healthcare Delivery Processes in Information Systems
4. The Quality of the Urbanization of the Information System is Central to its Performance
5. Reference Terminologies in Healthcare Information Systems
6. Patient Identification in Healthcare Information Systems
7. Information System Security and Data Protection
8. Knowledge Management and Medical Decision Support
9. Managing and Integrating Clinical Data: Health Records
10. Managing and Integrating Laboratory Data and Functional Investigations
11. Managing and Integrating Medical Images
12. Managing and Integrating Telemedicine and Telehealth
13. Integrating Extra-hospital Care Data
14. Reusing Data in Healthcare
15. Integrating Data for Management and Decision Analysis
16. Data for Epidemiology and Public Health, and Big Data
17. Integrating Bioinformatics Data
18. Clinical Research Data
19. Evaluating Information Systems
20. The Governance of Healthcare Information Systems, the Hospital, Outpatient and Industrial Contexts