The Patient is not a Moving Document: A World Model Training Paradigm for Longitudinal EHR
By: Irsyad Adam, Zekai Chen, David Laprade, Shaun Porwal, David Laub, Erik Reinertsen, Arda Pekis, Kevin Brown
Published: 2026-01-30
View on arXiv →#cs.AI
Abstract
This paper introduces a novel world model training paradigm specifically designed for longitudinal Electronic Health Records (EHR). It addresses the challenges of integrating and interpreting continuous patient data over time, aiming to improve AI's ability to provide more accurate and context-aware insights for healthcare applications.