EHR-RAGp: Prototype-Guided Retrieval of Longitudinal Electronic Health Records for Clinical Prediction Models
EHR-RAGp is a retrieval-augmented foundation model that dynamically integrates relevant patient history from diverse clinical events. It uses a prototype-guided retrieval module to estimate how important retrieved historical chunks are for a specific prediction task, improving performance across multiple clinical predictions.