Health Data Processing Systemic Approaches

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. This book is written for all health professionals in practice or in training and especially for decision-makers or future decision-makers in the field of health information systems. It aims to foster understanding of the determinants of health information systems and the main principles of information processing. It deals with the question of the reuse of data for purposes other than those which have presided over their collection. The data collected for the care must be available to enrich the knowledge, to make the health watch, to study the evolution of the health taking into account data of the environment, social factors, ... In addition to the questions of protection of the Individual liberties that these data and technologies make more acute, the irruption of the large masses of genetic data in particular, and more generally heterogeneous "big data," pose problems peculiar to this data but join the problems of interoperability and data integration. The book develops the methodological and conceptual aspects related to these issues. Proposes a methodology and an approach to the development of health information systems for a better use of digital technologies integrated in interoperable, coherent and evolving systems that make it possible to counter the counterproductive juxtaposition of multiple applications 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 It also aims to reuse the resources of data for knowledge improvement, health security and public health