Law Commons^™

Big Data Analytics: What Can Go Wrong, Sharona Hoffman

Faculty Publications

It is not uncommon to read that long-held beliefs about medical treatments have been dislodged by new studies. For example, there is now doubt as to whether women should undergo annual mammograms, previously a cornerstone of cancer screening. Hormone replacement therapy for menopausal women, once considered highly suspect in light of worrisome research findings, is now being reconsidered as a beneficial therapy. These reversals trouble and confuse many Americans.

This Article explores why medical research findings can be erroneous and what can go wrong in the process of designing and conducting research studies. It provides readers with essential analytical tools …

Caveat Emptor: How The Intersection Of Big Data And Consumer Genomics Exponentially Increases Information Privacy Risks, Katherine Drabiak

Health Matrix: The Journal of Law-Medicine

Our genomic sequence constitutes the most sensitive and personal of information: uniquely identifying us, revealing our propensity to develop certain diseases and conditions, and exposing familial connections of close genetic relatives. Big Data enables consumer-genomics companies to collect, store, and electronically share genomic-sequence data in conjunction with numerous pieces of private health and personal information.