Tina Hernandez-Boussard

Dr Hernandez-Boussard, PhD, MPH, MS is an Associate Professor of Medicine (Biomedical Informatics) of Biomedical Data Sciences, and of Surgery at Stanford University. She is a bioinformatician and health services research. A key focus of her research is to apply novel methods to large clinical datasets to better understand and improve healthcare delivery. Over the past decade, she has utilized electronic medical records and other high-volume digital data to accurately and efficiently monitor, measure, and predict healthcare outcomes using machine learning and deep learning techniques. Through this developed infrastructure, her team captures multi-modal data sources and transforms these diverse data to knowledge and integrates them into clinical workflows to advance healthcare delivery. She is the Chairperson of the National Advisory Council for the Agency for Healthcare Research and Quality and Directory of Faculty Development in Biomedical Informatics. Professor Hernandez-Boussard received her Ph.D. in Computational Biology from Lyon University, her Masters’ in Public Health (Chronic Disease Epidemiology) from Yale University, and her Maters’ in Science (Health Services Research) from Stanford University.

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Evaluations of AI Applications in Healthcare (Coursera) Coursera
Stanford University

Evaluations of AI Applications in Healthcare (Coursera)

Dive into the world of AI applications in healthcare with our expert-led course. Understand the principles behind deploying AI technologies in medicine, evaluate their impact on patient care, and learn about the critical framework used to assess AI's role in healthcare. This course is ideal for professionals seeking to harness AI's potential to revolutionize medical practices.

Aug 3rd 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.

Aug 3rd 2026
5-12 Weeks
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