The Black Box Algorithm

During the first wave of the opioid pandemic, the U.S. federal government encouraged states to establish prescription drug monitoring programs (PDMPs) which use predictive algorithms to determine risk scores for patients. These scores, which can point correctly or inaccurately to substance use disorder (SUD), drug diversion, doctor shopping or drug misuse, have a risk themselves, as overreliance on PDMP information for clinical decision making often influences clinicians in their treatment, or refusal to treat, vulnerable people. In this episode, we speak with health law and policy expert Elizabeth Pendo, UW Law's senior associate dean for academic affairs and Kellye Y. Testy Professor of Law. Pendo, who co-wrote the recently published paper, "Challenging Disability Discrimination in the Clinical Case of PDMP Algorithms" in the Carolina Law Review, challenges PDMP algorithmic discrimination, which is far from regulated, as disability discrimination through the lens of federal antidiscrimination laws. Pendo also talks about the revitalization of UW Law's Health Law program through the upcoming launch of the Health Law & Policy Program.