This organization is a development space for course materials of BIOMEDIN 215: Data-Driven Medicine, a course taught at Stanford University through the Biomedical Informatics graduate program.
For more information on BIOMEDIN 215, check out: Stanford Explore Courses🌲 BIOMEDIN 215
-
Dr. Nigam Shah, MBBS, PhD is Professor of Medicine at Stanford University, and Chief Data Scientist for Stanford Health Care. His research group analyzes multiple types of health data (EHR, Claims, Wearables, Weblogs, and Patient blogs), to answer clinical questions, generate insights, and build predictive models for the learning health system. At Stanford Healthcare, he leads artificial intelligence and data science efforts for advancing the scientific understanding of disease, improving the practice of clinical medicine, and orchestrating the delivery of health care.
-
Alison Callahan, PhD is an Instructor in the Center for Biomedical Informatics and Clinical Data Scientist in the Stanford Health Care Data Science team led by Nigam Shah. Her current research uses informatics to expand and improve the data available about pregnancy and birth and to develop and maintain an EHR-derived obstetric database. She is also the co-leader of the OHDSI Perinatal & Reproductive Health (PRHeG) working group. Her work in the SHC Data Science team focuses on developing and implementing methods to assess and identify high-value applications of machine learning in healthcare settings.
