Nigam H. Shah, Ph.D. Closed Now

Dr. Nigam H. Shah is an internationally recognized leader in biomedical informatics and artificial intelligence for healthcare. He is currently a Professor of Medicine (Biomedical Informatics) at Stanford University and serves as the Associate CIO for Data Science at Stanford Health Care. His work bridges large-scale clinical data analysis with real-world healthcare applications, making him one of the most influential figures in the integration of AI into clinical practice.

Shah’s research focuses on developing methods to turn electronic health record (EHR) data into actionable medical knowledge. He has pioneered approaches to phenotyping patients computationally, repurposing EHR data for drug safety studies, and building scalable AI systems that assist clinicians in making data-driven decisions. One of his notable contributions is leveraging AI to predict patient outcomes and identify adverse drug reactions, directly influencing patient safety and care.

Beyond academia, Dr. Shah is a key advisor on national and global health IT initiatives. He has contributed to policy frameworks around AI ethics, clinical data sharing, and interoperability standards. He is also part of large-scale consortia like OHDSI (Observational Health Data Sciences and Informatics), which standardizes healthcare data globally to accelerate discoveries.

His work has been widely published in top journals such as Nature Medicine, JAMA, and NEJM. Shah is also a sought-after speaker at international conferences, where he advocates for responsible and explainable AI in healthcare. His mission is to ensure that the wealth of clinical data collected worldwide can be transformed into knowledge that improves decision-making, reduces costs, and enhances patient outcomes.