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Multi-Hospital Electronic Health Record Foundation Models Without Data Sharing: A Comparison of Federated Learning and Inference-Time Ensembling

2026-04-27

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Foundation models for electronic health records (EHRs) perform strongly on clinical prediction, but every published model has been trained within a single health system. No multi-institutional EHR foundation model currently exists, largely because privacy regulations and governance barriers block data pooling across hospitals. Two strategies could build such models without p...

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Literature Corpus work
52bbef9d-3491-544a-a371-d072421f7531
DOI
10.64898/2026.04.24.26351702
Open publication

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Multi-Hospital Electronic Health Record Foundation Models Without Data Sharing: A Comparison of Federated Learning and Inference-Time EnsemblingDOI 10.64898/2026.04.24.26351702
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