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Title:
Big data, health law, and bioethics / edited by I. Glenn Cohen, Holly Fernandez Lynch, Effy Vayena, Urs Gasser.
Publisher:
Cambridge University Press,
Copyright Date:
2018
Description:
xvii, 354 pages ; 23 cm
Subject:
Data mining.
Computational biology--Methods.
Big data.
Medical informatics--Data processing.
Medical records--Data processing.
Data Mining.
Health Policy.
Legislation, Medical.
Bioethical Issues.
Privacy.
United States.
Other Authors:
Cohen, I. Glenn, editor.
Lynch, Holly Fernandez, editor.
Vayena, Effy, 1972- editor.
Gasser, Urs, editor.
Notes:
Includes bibliographical references and index.
Contents:
The pathologies of data-generating patents / Ted Sichelman, Brenda M. Simon. 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 the medical Internet of things / Dov Greenbaum -- Data policy for Internet of things health care devices : aligning patient, industry, and privacy goals in the age of big data / Marcus Comiter -- Thought leader perspectives on risks in precision medicine research / Laura M. Beskow, Catherine M. Hammack, Kathleen M. Brelsford, Kevin C. McKenna -- From individual to group privacy in biomedical big data / Brent Mittelstadt -- Big data and informed consent : the case of estimated data / Donna M. Gitter -- Is there a duty to share health care data? / I. Glenn Cohen -- Societal lapses in protecting individual privacy, the common rule, and big data health research / Laura Odwazny -- Common rule and research with data, big and small / Liza Dawson -- Big data, HIPAA and the common rule : time for big change? / Margaret Foster Riley -- Data sharing that enables post-approval drug and device research and protects patient privacy : best practice recommendations / Ameet Sarpatwari, Bradley A. Malin, Aaron S. Kesselheim, Joshua J. Gagne, Sebastian Schneeweiss -- Big data and human medical judgment : regulating next generation clinical decision support / Jeffrey M. Senger, Patrick O'Leary -- Medical malpractice and black-box medicine / W. Nicholson Price II -- Big data & intellectual property rights in the health and life sciences / Timo Minssen, Justin Pierce -- The pathologies of data-generating patents / Ted Sichelman, Brenda M. Simon.
Summary:
"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...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."-- Back cover.
ISBN:
1108449670
9781108449670
1107193656
9781107193659
OCLC:
(OCoLC)1002290923
LCCN:
2017041362
Locations:
OVUX522 -- University of Iowa Libraries (Iowa City)

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This resource is supported by the Institute of Museum and Library Services under the provisions of the Library Services and Technology Act as administered by State Library of Iowa.