The Electronic Health Record: Ethical Considerations analyses the ethical issues that surround the construction, maintenance, storage, use, linkage, manipulation and communication of electronic health records. Its purpose is to provide ethical guidance to formulate and implement policies at the local, national and global level, and to provide the basis for global certification in health information ethics. Electronic health records (EHRs) are increasingly replacing the use of paper-based records in the delivery of health care. They are integral to providing eHealth, telehealth, mHealth and pHealth - all of which are increasingly replacing direct and personal physician-patient interaction - as well as in the developing field of artificial intelligence and expert systems in health care. The book supplements considerations that are raised by national and international regulations dealing with electronic records in general, for instance the General Data Protection Regulation of the European Union. This book is a valuable resource for physicians, health care administrators and workers, IT service providers and several members of biomedical field who are interested in learning more about how to ethically manage health data.

Over the years, the complexity of health systems has grown due to the continuous and constant introduction of new technologies-process, production, and organizational-which have increased the number of stakeholders involved, creating new relationships and new channels through which the various subjects interact. It is necessary to highlight the critical issues and opportunities relating to the innovation of the organization and governance of health services as well as the complementarity of management and leadership. The new health needs require a Copernican revolution in the organization of services: not only offering individual services but also effective permanent care of the patient within institutional and professional assistance networks and effective, efficient, and appropriate pathways. This requires that on an organizational and managerial level, the internal relationships between the branches of the healthcare companies must be reviewed and closer relationships built with the managing bodies of the social and welfare services. The Handbook of Research on Complexities, Management, and Governance in Healthcare proceeds with a reasoned reconstruction of healthcare issues through the problems connected to the complexities, management, and governance in healthcare in light of the recent COVID-19 pandemic. It discusses both the ethical side of health and the economic, organizational, and legal content. Covering topics such as healthcare innovation, taxation for public health, and waste disposal, this major reference work is a comprehensive resource for healthcare administration, directors, executive boards, lawyers, sociologists, government officials and policymakers, students and faculty of higher education, libraries, researchers, and academicians.

This book presents the research that resulted from a fruitful collaboration between many CNRS research laboratories, health establishments and industrialists. This research contributes to the study and the development of logistical systems, in particular health-oriented logistical systems, in order to manage and optimize physical, informational and financial flows. The authors examine optimization and modeling methods to facilitate decision support for the management of logistics systems in the health field, including solutions to problems encountered in the management of logistics flows and the study of systems incorporating these flows. In the first chapter, logistics engineering is presented whilst the second chapter introduces the study of real cases of transport, management crisis and warehouse management logistics systems. The third chapter is devoted to the study of hospital systems and emergency services and in the fourth chapter, the authors highlight the operational aspect of the hospital system thanks to an innovative modeling approach. Finally, mathematical and algorithmic models of scheduling, and dynamic orchestration of the collaborative workflow by a multi-agent system, are introduced.