Health Data Processing

  • ID: 4540101
  • Book
  • 340 Pages
  • Elsevier Science and Technology
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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

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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

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Fieschi, Marius
Marius Fieschi MD PhD, is Honorary Professor of Public Health (Medical Informatics) at the Faculty of Medicine of Marseille.
He created and directed, in this same faculty, the teaching and research laboratory on the treatment of medical information (LERTIM) and was vice-president of the Université de la Méditerranée (2008-2011)
Author or co-author of books on the treatment of medical information and of numerous scientific publications indexed in Medline.
Head of the public health and medical information department at the Timone hospital in Marseille, he was the first head of a public health unit at the Assitance Publique Hôpitaux de Marseille.
Consultant to the Ministry of Health (Hospital Direction) from 1989 to 1994, he is the author of several reports to ministers of health.
His research work has addressed the topics of medical decision support, medical expert systems, applications of artificial intelligence to medicine and health information systems: representation of medical concepts, semantic references and management of knowledge, computerized good practice guides, computerized patient record.
Prof. Marius Fieschi has held positions in various national and international scholarly societies and in editorial committees of international scientific journals.
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