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