Penn Bioethics Seminar | Ravi Parikh, MD, MPP
12:00pm - 1:00pm • 1402 Blockley Hall
Human-machine collaborations to predict mortality: Ethical considerations
Machine learning algorithms, by modeling complex and unanticipated interactions among many variables, can accurately predict important patient outcomes like mortality in many conditions and may outperform traditional statistical models. Health systems are increasingly integrating ML-based prognostic algorithms into clinicians’ practice, hypothesizing that collaborations between clinicians and machine algorithms can improve prognosis and decision-making for patients at highest risk of death. However, there has been no systematic investigation to compare machine and clinician predictions and understand whether human-machine collaborations (HMCs) improve upon clinician prognoses and decision-making. I'll discuss the framework of a mixed-methods analysis to measure the value of human-machine collaborations in predicting mortality, which includes a qualitative component to assess ethical considerations of this integration.
Ravi Parikh, MD, MPP
Instructor, Medical Ethics and Health Policy
Staff Physician, Corporal Michael J. Crescenz VA Medical Center