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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AI in Healthcare Capstone (Coursera)

Apr 1st 2024
AI in Healthcare Capstone (Coursera)
Course Auditing
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This capstone project takes you on a guided tour exploring all the concepts we have covered in the different classes up till now. We have organized this experience around the journey of a patient who develops some respiratory symptoms and given the concerns around COVID19 seeks care with a [...]

Evaluations of AI Applications in Healthcare (Coursera)

With artificial intelligence applications proliferating throughout the healthcare system, stakeholders are faced with both opportunities and challenges of these evolving technologies. This course explores the principles of AI deployment in healthcare and the framework used to evaluate downstream effects of AI healthcare [...]