Big data, health law, and bioethics

When data from all aspects of our lives can be relevant to our health - from our habits at the grocery store and our Google searches to our FitBit data and our medical records - can we really differentiate between big data and health big data? Will health big data be used for good, such as to improve drug safety, or ill, as in insurance discrimination? Will it disrupt health care (and the health care system) as we know it? Will it be possible to protect our health privacy? What barriers will there be to collecting and utilizing health big data? What role should law play, and what ethical concerns may arise? This timely, groundbreaking volume explores these questions and more from a variety of perspectives, examining how law promotes or discourages the use of big data in the health care sphere, and also what we can learn from other sectors.--Résumé de l'éditeur.

Titre de l'écran-titre (visionné le 26 avril 2018).

In Cambridge Core.

Big data and individual autonomy in a crowd / Barbara J. Evans -- Big data's epistemology and its implications for precision medicine and privacy / Jeffrey M. Skopek -- Big data's epistemology and its implications for precision medicine and privacy / Tal Z. Zarsky -- Correlation vs. causation in health-related big data analysis : the role of reason and regulation / Tal Z. Zarsky -- Big data and regulatory arbitrage in healthcare / Nicolas P. Terry -- The future of pharmacovigilance : big data and the False Claims Act / Efthimios Parasidis -- Big data's new discrimination threats : amending the Americans with Disabilities Act to cover discrimination based on data-driven predictions of future disease / Sharona Hoffman -- Who's left out of big data? How big data collection, analysis, and use neglects populations most in need of medical and public health research and interventions / Sarah E. Malanga, Jonathan D. Loe, Christopher T. Robertson, Kenneth S. Ramos -- Potential roadblocks in health care big data collection : Gobeille v. Liberty Mutual, ERISA, and all-payer claims databases / Carmel Shachar, Aaron S. Kesselheim, Gregory Curfman, Ameet Sarpatwari.

Avoiding over-regulation in…