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Springer - The Ethics of Biomedical Big Data (Law Series 29)

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Description

Explore the complex landscape of modern medical research with The Ethics of Biomedical Big Data. Published by Springer as part of the Law, Governance and Technology Series, this book examines the new ethical challenges created by biomedical Big Data technologies. As the analysis of large, aggregated datasets becomes central to improving medical knowledge and clinical care, understanding the implications of these practices is essential for researchers and policymakers. This text addresses the specific ethical problems that arise from the aggregation and re-purposing of biomedical datasets. Readers will find detailed discussions on critical areas including privacy, consent, and professionalism. It also examines the power relationships and the ethical governance required for Big Data platforms. By presenting cutting edge research, this book provides various approaches and methods used to address these modern dilemmas, helping to achieve appropriate standards in the field of medical data management.

Key Features

Examines the ethical challenges created by the analysis of large, aggregated biomedical datasets used to improve clinical care.

Provides detailed research on the problems associated with the re-use and re-purposing of medical data.

Covers essential topics such as privacy, consent, and professionalism within the context of Big Data.

Analyzes power relationships and the ethical governance models needed for Big Data platforms.

Offers various approaches and methods to address modern ethical problems in biomedical technology.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
16 August 2016
Listed Since
24 March 2016

Barcode

No barcode data available

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