Law Commons^™

What Genetic Testing Teaches About Long-Term Predictive Health Analytics Regulation, Sharona Hoffman

Faculty Publications

The ever-growing phenomenon of predictive health analytics is generating significant excitement, hope for improved health outcomes, and potential for new revenues. Researchers are developing algorithms to predict suicide, heart disease, stroke, diabetes, cognitive decline, future opioid abuse, and other ailments. The researchers include not only medical experts, but also commercial enterprises such as Facebook and LexisNexis, who may profit from the work considerably. This Article focuses on long-term disease predictions (predictions regarding future illnesses), which have received surprisingly little attention in the legal and ethical literature. It compares the robust academic and policy debates and legal interventions that followed the …

Balancing Privacy, Autonomy, And Scientific Needs In Electronic Health Records Research, Sharona Hoffman, Andy Podgurski

Faculty Publications

The ongoing transition from paper medical files to electronic health records will provide unprecedented amounts of data for biomedical research, with the potential to catalyze significant advances in medical knowledge. But this potential can be fully realized only if the data available to researchers is representative of the patient population as a whole. Thus, allowing individual patients to exclude their health information, in keeping with traditional notions of informed consent, may compromise the research enterprise and the medical benefits it produces.

This Article analyzes the tension between realizing societal benefits from medical research and granting individual preferences for privacy. It …