Source: Penn LDI
The research is timely as federal and state policymakers consider ways to protect the public against the unintended consequences of using predictive models and AI in health care. For example, the Office of the National Coordinator for Health Information Technology within the Department of Health and Human Services recently finalized a rule that enacts transparency requirements for algorithms that Medicare and Medicaid electronic health records systems use for “predictive decision support interventions.” The goal of this new rule is to establish more clarity for clinicians about the design and performance of these decision support tools.