홈 › Papers

FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support

2025-09-09 · Yildiray Kabak, Gokce B. Laleci Erturkmen, Mert Gencturk, Tuncay Namli, A. Anil Sinaci, Ruben Alcantud Corcoles, Cristina Gomez Ballesteros, Pedro Abizanda, Asuman Dogac arxiv

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.

📄 PDF Abstract BibTeX arXiv:2509.07706

Code (0)

등록된 구현이 없습니다.

Reinforcement Learning for Tool-Calling Agents in Fast Healthcare Interoperability Resources (FHIR)

2026-05-13 · Marius S. Knorr, Robert Müller, Jan P. Bremer, Nils Schweingruber arxiv

Fast Healthcare Interoperability Resources (FHIR) is the dominant standard for interoperable exchange of healthcare data. In FHIR, electronic health records form a directed graph of resources. Answering clinically meanin…

Reinforcement Learning Question Answering

FHIRPath-QA: Executable Question Answering over FHIR Electronic Health Records

2026-02-26 · Michael Frew, Nishit Bheda, Bryan Tripp arxiv

Though patients are increasingly granted digital access to their electronic health records (EHRs), existing interfaces may not support precise, trustworthy answers to patient-specific questions. Large language models (LL…

Question Answering Text Generation

FHIR-AgentBench: Benchmarking LLM Agents for Realistic Interoperable EHR Question Answering

2025-09-12 · Gyubok Lee, Elea Bach, Eric Yang, Tom Pollard 외 arxiv

The recent shift toward the Health Level Seven Fast Healthcare Interoperability Resources (HL7 FHIR) standard opens a new frontier for clinical AI, demanding LLM agents to navigate complex, resource-based data models ins…

Question Answering Code Generation

Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework

2025-06-13 · Abul Ehtesham, Aditi Singh, Saket Kumar

Enhancing clinical decision support (CDS), reducing documentation burdens, and improving patient health literacy remain persistent challenges in digital health. This paper presents an open-source, agent-based framework t…

Schema-Grounded LLM Extraction for FHIR Patient Digital Twins

2026-01-09 · Rafael Brens, Yuqiao Meng, Luoxi Tang, Zhaohan Xi arxiv

We revisit the problem of constructing interoperable patient digital twins from unstructured electronic health records (EHRs) and argue that the task is better cast not as a cascade of extraction modules but as constrain…