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A Black Box For Patient Safety?, Nathan Cortez Jan 2019

A Black Box For Patient Safety?, Nathan Cortez

Faculty Journal Articles and Book Chapters

Technology now makes it possible to record surgical procedures with striking granularity. And new methods of artificial intelligence (A.I.) and machine learning allow data from surgeries to be used to identify and predict errors. These technologies are now being deployed, on a research basis, in hospitals around the world, including in U.S. hospitals. This Article evaluates whether such recordings – and whether subsequent software analyses of such recordings – are discoverable and admissible in U.S. courts in medical malpractice actions. I then argue for reformulating traditional "information policy" to accommodate the use of these new technologies without losing sight of …


The Effects Of Comparable‐Case Guidance On Awards For Pain And Suffering And Punitive Damages: Evidence From A Randomized Controlled Trial, Hillel J. Bavli, Reagan Mozer Jan 2019

The Effects Of Comparable‐Case Guidance On Awards For Pain And Suffering And Punitive Damages: Evidence From A Randomized Controlled Trial, Hillel J. Bavli, Reagan Mozer

Faculty Journal Articles and Book Chapters

Damage awards for pain and suffering and punitive damages are notoriously unpredictable. Courts provide minimal, if any, guidance to jurors determining these awards, and apply similarly minimal standards in reviewing them. Lawmakers have enacted crude measures, such as damage caps, aimed at curbing award unpredictability, while ignoring less drastic alternatives that involve guiding jurors with information regarding damage awards in comparable cases (“comparable‐case guidance” or “prior‐award information”). The primary objections to the latter approach are based on the argument that, because prior‐award information uses information regarding awards in distinct cases, it introduces the possibility of biasing the award, or distorting …