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Health Law and Policy

University of Michigan Law School

2016

Big data

Articles 1 - 2 of 2

Full-Text Articles in Law

Big Data, Patents, And The Future Of Medicine, W. Nicholson Price Ii Apr 2016

Big Data, Patents, And The Future Of Medicine, W. Nicholson Price Ii

Articles

Big data has tremendous potential to improve health care. Unfortunately, intellectual property law isn’t ready to support that leap. In the next wave of data- driven medicine, black-box medicine, researchers use sophisticated algorithms to examine huge troves of health data, finding complex, implicit relationships and making individualized assessments for patients. Black-box medicine offers potentially immense benefits, but also requires substantial high investment. Firms must develop new datasets, models, and validations, which are all nonrivalrous information goods with significant spillovers, requiring incentives for welfare-optimizing investment. Current intellectual property law fails to provide adequate incentives for black- box medicine. The Supreme Court …


Privacy And Accountability In Black-Box Medicine, Roger Allan Ford, W. Nicholson Price Ii Jan 2016

Privacy And Accountability In Black-Box Medicine, Roger Allan Ford, W. Nicholson Price Ii

Michigan Telecommunications & Technology Law Review

Black-box medicine—the use of big data and sophisticated machine-learning techniques for health-care applications—could be the future of personalized medicine. Black-box medicine promises to make it easier to diagnose rare diseases and conditions, identify the most promising treatments, and allocate scarce resources among different patients. But to succeed, it must overcome two separate, but related, problems: patient privacy and algorithmic accountability. Privacy is a problem because researchers need access to huge amounts of patient health information to generate useful medical predictions. And accountability is a problem because black-box algorithms must be verified by outsiders to ensure they are accurate and unbiased, …