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Comparative effectiveness of different electronic-medical record (EMR)-based models predicting the risk of hospital readmission

Principal Investigators: Anil Makam, M.D., M.S., Oanh Nguyen, M.D., M.S.
Funding Source: Agency for Healthcare Research and Quality
Objective: This project will assess the comparative effectiveness of different models predicting the risk of 30-day hospital readmission including:

  1. Multi-condition models using EMR data vs. claims data
  2. Multi-condition EMR models vs. disease-specific EMR models
  3. Multi-condition 'first day' models vs. 'full stay' models