Towards a Self-Learning EHR System

Seminar Series

Friday, September 20, 2019 - 11:00
MSRBI #001
Tianxi Cai, PhD

 The wide adoption of electronic health records (EHR) systems has led to the availability of large clinical datasets available for discovery research. EHR data, linked with bio-repository, is a valuable new source for deriving real-word, data-driven prediction models of disease risk and progression. Yet, they also bring analytical difficulties. Precise information on clinical outcomes is not readily available and requires labor intensive manual chart review. Synthesizing information across healthcare systems is also challenging due to heterogeneity and privacy. In this talk, I’ll discuss analytical approaches for mining EHR data with a focus on scalability, reproducibility and automated knowledge extraction. These methods will be illustrated using EHR data from Partner’s Healthcare and Veteran Health Administration.

Tianxi Cai, PhD
John Rock Professor of Population and 
Translational Data Sciences
Department of Biostatistics
Harvard University