Learn about leveraging multi-institutional Electronic Health Records (EHR) data for real-world evidence generation in this 58-minute conference talk from the Big Data Conference 2024. Explore analytical approaches for mining EHR data, focusing on overcoming challenges related to heterogeneity, privacy concerns, and high-dimensional feature spaces when synthesizing information across healthcare systems. Discover methods for improving reliability and generalizability of real-world evidence through case studies from Mass General Brigham and Veteran Health Administration. Gain insights into the potential of EHR systems linked with bio-repositories for developing data-driven prediction models of disease risk and progression.
Crowdsourcing with Multi-institutional EHR to Improve Reliability of Real World Evidence
Harvard CMSA via YouTube
Overview
Syllabus
Tianxi Cai|Crowdsourcing with Multi-institutional EHR to Improve Reliability of Real World Evidence
Taught by
Harvard CMSA