FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support
[2509.07706] FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large ... arXiv
A study proposed the FHIR-RAG-MEDS system to integrate HL7 FHIR standards with Retrieval-Augmented Large Language Models.
Summary
This study proposes the 'FHIR-RAG-MEDS' system, which integrates Health Level 7 FHIR with a Retrieval-Augmented Generation (RAG)-based system. The goal is to improve personalized medical decision support based on evidence-based clinical guidelines.
Details
This paper introduces the 'FHIR-RAG-MEDS' system, which combines Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) with a Retrieval-Augmented Generation (RAG)-based framework. The system aims to enhance personalized medical decision support by utilizing evidence-based clinical guidelines. While advanced medical decision support systems are evolving, research integrating these cutting-edge technologies—specifically RAG and HL7 FHIR—into practical applications remains limited. This proposal seeks to leverage the combined power of RAG and FHIR to improve data utilization in clinical settings, thereby providing more personalized support. The work is presented as an academic paper, reflecting current advanced research trends in AI and healthcare science. The implementation of this system is expected to process complex medical information efficiently, offering clinicians rapid and evidence-based decision support.
Technology Note
FHIR（Fast Healthcare Interoperability Resources）は医療データ交換の国際標準。このエントリの関連技術: HL7
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