Voices of Healthcare · #24
Nigam Shah
Professor of Medicine; Chief Data Scientist
Stanford University; Stanford Health Care
His work on evaluating clinical AI with real health system data shaped how academic medical centers pressure-test vendor claims.
Nigam Shah is a professor of medicine at Stanford and serves in chief data scientist leadership at Stanford Health Care. His research and operational work focus on using electronic health record data and informatics methods to evaluate what clinical AI actually does after deployment.
Shah's group is widely known for pragmatic evaluation frameworks that ask whether a model changes decisions and outcomes, not only whether it reports a strong AUC. That stance shows up in how other academic medical centers structure AI review.
He is on this list for academic and health-system evaluation influence.