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[2509.07706] FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support
Summary
The paper presents FHIR-RAG-MEDS, a system that integrates HL7 FHIR with Retrieval-Augmented Generation models to enhance personalized medical decision support based on clinical guidelines.
Why It Matters
This research addresses the critical intersection of healthcare and AI by proposing a novel system that leverages advanced technologies to improve clinical decision-making. As healthcare increasingly relies on data-driven insights, understanding how to effectively integrate these technologies is essential for future medical applications.
Key Takeaways
- Integration of HL7 FHIR with RAG models can enhance medical decision support.
- The study highlights a gap in research on practical applications of these technologies.
- Improved personalized care through evidence-based clinical guidelines is a key benefit.
Computer Science > Artificial Intelligence arXiv:2509.07706 (cs) [Submitted on 9 Sep 2025 (v1), last revised 26 Feb 2026 (this version, v2)] Title:FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support Authors:Yildiray Kabak, Gokce B. Laleci Erturkmen, Mert Gencturk, Tuncay Namli, A. Anil Sinaci, Ruben Alcantud Corcoles, Cristina Gomez Ballesteros, Pedro Abizanda, Asuman Dogac View a PDF of the paper titled FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support, by Yildiray Kabak and 8 other authors View PDF Abstract:In this study, we propose FHIR-RAG-MEDS system that aims to integrate Health Level 7 Fast Healthcare Interoperability Resources (HL7 FHIR) with a Retrieval-Augmented Generation (RAG)-based system to improve personalized medical decision support on evidence-based clinical guidelines, emphasizing the need for research in practical applications. In the evolving landscape of medical decision support systems, integrating advanced technologies such as RAG and HL7 FHIR can significantly enhance clinical decision-making processes. Despite the potential of these technologies, there is limited research on their integration in practical applications. Comments: Subjects: Artificial Intelligence (cs.AI) Cite as: arXiv:2509.07706 [cs.AI] (or arXiv:2509.07706v2 [cs.AI] for this version) https://doi.org/10.48550/arXiv.2509.07706 Focus to lear...
