Nigam Shah

Dr. Nigam Shah is Associate Professor of Medicine (Biomedical Informatics) at Stanford University, and serves as the Associate CIO for Data Science for Stanford Health Care. Dr. Shah's research focuses on combining machine learning and prior knowledge in medical ontologies to enable the learning health system. Dr. Shah was elected into the American College of Medical Informatics (ACMI) in 2015 and is inducted into the American Society for Clinical Investigation (ASCI) in 2016. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.

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Introduction to Clinical Data (Coursera) Coursera
Stanford University

Introduction to Clinical Data (Coursera)

Dive into the world of clinical data analysis with our Introduction to Clinical Data course. Gain a framework for successful and ethical medical data mining as you explore various types of healthcare data and learn to construct analysis-ready datasets. Apply computational procedures to address clinical questions, all while understanding the critical issues of fairness and bias in decision-making processes.

Jun 22nd 2026
5-12 Weeks
Introduction to Healthcare (Coursera) Coursera
Stanford University

Introduction to Healthcare (Coursera)

Dive into the complexities of the U.S. healthcare system with our introductory course. Learn about the major players—physician practices, hospitals, pharmaceuticals, insurance, and financing—and how they work together to deliver care. Gain a foundational understanding essential for addressing challenges and finding solutions in healthcare.

Jun 22nd 2026
5-12 Weeks
AI in Healthcare Capstone (Coursera) Coursera
Stanford University

AI in Healthcare Capstone (Coursera)

Embark on a comprehensive journey through Coursera's 'AI in Healthcare Capstone' course. This capstone project synthesizes all the concepts covered throughout the specialization, guiding you through a patient's healthcare journey from symptom onset to diagnosis using AI-driven analytics. Learn how to leverage EHR and image data to build models that support informed decision-making for risk-stratification.

Jun 22nd 2026
5-12 Weeks
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