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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. Read more ...
We answer clinical questions to enable better medical decisions using EHR and Claims data, via a bedside consult service that enables the use of aggregate patient data at the point of care. Check out our Informatics Consult Service that puts this idea in action.
We make predictions that allow taking mitigating actions, while maintaining the https://stanmed.stanford.edu/artificial-intelligence-puts-humanity-health-care/ human touch in patient care. Check out our Program for AI in Healthcare and the Applied Data Science team that puts these ideas in action.
We develop methods to analyze multiple datatypes for generating insights. Such as:
About us: Lab members, Open positions
Internal (log in required): On boarding, Compute Resources, Lab communication, Projects, Rotations, For Collaborators, Archived pages
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