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Large Language Models for Semantic Interoperability in Value-Based Perioperative Care
Seshadri C Mudumbai1,2, Vikas N O'Reilly-Shah3, Lichy Han4
1Anesthesiology and Perioperative Care Service, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, US. mudumbai@stanford.edu.
None:
Proven protocols remain isolated inside institutions because EHR systems cannot understand each other's data semantically. Current data models each advance semantic interoperability, but none fully solves the problem of cross-institutional protocol portability. The authors suggest that large language models can translate data across systems using existing data model frameworks as "clinical constitutions" to achieve interoperability without universal standards.
