AI in eHealth

AI in eHealth

Author: Marcelo Corrales Compagnucci

Publisher: Cambridge University Press

Published: 2022-09-15

Total Pages: 493

ISBN-13: 1108924859

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The emergence of digital platforms and the new application economy are transforming healthcare and creating new opportunities and risks for all stakeholders in the medical ecosystem. Many of these developments rely heavily on data and AI algorithms to prevent, diagnose, treat, and monitor diseases and other health conditions. A broad range of medical, ethical and legal knowledge is now required to navigate this highly complex and fast-changing space. This collection brings together scholars from medicine and law, but also ethics, management, philosophy, and computer science, to examine current and future technological, policy and regulatory issues. In particular, the book addresses the challenge of integrating data protection and privacy concerns into the design of emerging healthcare products and services. With a number of comparative case studies, the book offers a high-level, global, and interdisciplinary perspective on the normative and policy dilemmas raised by the proliferation of information technologies in a healthcare context.


How Big And Still Beautiful?: Macro- Engineering Revisited

How Big And Still Beautiful?: Macro- Engineering Revisited

Author: Frank P. Davidson

Publisher: Routledge

Published: 2019-04-08

Total Pages: 285

ISBN-13: 0429728271

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This volume examines fundamental issues of macro-engineering—now a planetary norm—from the viewpoints of psychiatry, social science, management, and law. The contributors suggest a general theory to guide future decisions on large-scale projects and programs and analyze specific cases in the context of a set of public-interest guidelines.