Large language models for patient-centred evidence generation and use
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Abstract
Preprint. Not peer reviewed. For people with multimorbidity, disease-specific evidence can leave practical questions unanswered. We propose an evidence operating system (Evidence OS) that follows patient priorities through evidence synthesis, research and the return of findings to care. Large language models could assist these transitions. We specify responsibilities, distinguish evidence gaps from service gaps, and outline comparisons needed to test whether the framework improves decisions, workload and patient outcomes.
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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-09-23
Authors: Chuan Yin, Zhicheng Zhang
Institutions: Shanghai Jiao Tong University, Shanghai Ninth People's Hospital