Stanford Departments and Centers:
Med: Biomedical Informatics Research (BMIR)
Biomedical Data Sciences
Person Title:
Associate Professor
T32 affiliation:
Mechanisms in Innovation in Vascular Disease
Training Program in Adult and Pediatric Rheumatology
We analyze 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. Our group runs the country's only bedside consult service to enable better medical decisions using aggregate EHR and Claims data at the point of care. Our team leads the Stanford Medicine Program for Artificial Intelligence in Healthcare, which makes predictions that allow taking mitigating actions, and studies the ethical implications of using machine learning in clinical care. We have built models for predicting future increases in cost, identifying slow healing wounds, missed diagnoses of depression and for improving palliative care.
