Large Language Models for Semantic Interoperability in Value-Based Perioperative Care.

IF 8.8 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Journal of Medical Systems Pub Date : 2026-05-14 DOI:10.1007/s10916-026-02404-2

Seshadri C Mudumbai, Vikas N O'Reilly-Shah, Lichy Han, Brian S Rothman

引用次数: 0

Abstract

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.

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基于价值的围手术期护理中语义互操作性的大型语言模型。

经过验证的协议在机构内部仍然是孤立的，因为EHR系统无法从语义上理解彼此的数据。当前的数据模型都推进了语义互操作性，但没有一个能完全解决跨机构协议可移植性的问题。作者建议，大型语言模型可以使用现有的数据模型框架作为“临床构造”跨系统翻译数据，从而在没有通用标准的情况下实现互操作性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Medical Systems 医学-卫生保健

CiteScore

11.60

自引率

1.90%

发文量

审稿时长

4.8 months

期刊介绍： Journal of Medical Systems provides a forum for the presentation and discussion of the increasingly extensive applications of new systems techniques and methods in hospital clinic and physician''s office administration; pathology radiology and pharmaceutical delivery systems; medical records storage and retrieval; and ancillary patient-support systems. The journal publishes informative articles essays and studies across the entire scale of medical systems from large hospital programs to novel small-scale medical services. Education is an integral part of this amalgamation of sciences and selected articles are published in this area. Since existing medical systems are constantly being modified to fit particular circumstances and to solve specific problems the journal includes a special section devoted to status reports on current installations.