mlsanityData to 14 Oct 2026

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

arXiv 2509.07706 ↗First posted 9 Sep 2025cs.AIcited by 1

On the map: Retrieval-augmented generation → Medical and biomedical RAG

Abstract (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.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 18 of its 56 references that are in the map. First posted on arXiv 9 Sep 2025.

Builds on

18 of 56 references.

Closest ancestors · 3

Same direction, newest first

  1. 2024Medical Graph RAG: Towards Safe Medical Large Language Model via Graph Retrieval-Augmented Generation8 Aug
  2. 2024Benchmarking Retrieval-Augmented Generation for Medicine20 Feb
  3. 2024Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report29 Jan

Other references · 15

  1. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,297
  2. 2019BERTScore: Evaluating Text Generation with BERTcited by 5,512
  3. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  4. 2022Survey of Hallucination in Natural Language Generationcited by 2,075
  5. 2024Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Modelscited by 446
  6. 2023Understanding the Effects of RLHF on LLM Generalisation and Diversitycited by 396
  7. 2024Retrieval-Augmented Generation for AI-Generated Content: A Surveycited by 354
  8. 2024BioMistral: A Collection of Open-Source Pretrained Large Language Models for Medical Domainscited by 301
  9. 2023MEDITRON-70B: Scaling Medical Pretraining for Large Language Modelscited by 274
  10. 2023Large language models in healthcare and medical domain: A reviewcited by 127
  11. 2023Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Healthcited by 118
  12. 2024RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMscited by 90
3 more
  1. 2024LLM on FHIR -- Demystifying Health Recordscited by 9
  2. 2023Applying Artificial Intelligence to Clinical Decision Support in Mental Health: What Have We Learned?cited by 5
  3. 2024Speaking the Same Language: Leveraging LLMs in Standardizing Clinical Data for AIcited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Medi-Gemma: A Hybrid Clinical Decision Support System Integrating Deterministic EMR Analytics and Retrieval-Augmented Generationcited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2025Enhancing Clinical Decision Support and EHR Insights through LLMs and the Model Context Protocol: An Open-Source MCP-FHIR Framework
  2. 2025Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights
  3. 2025Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
  4. 2024Development and Testing of a Novel Large Language Model-Based Clinical Decision Support Systems for Medication Safety in 12 Clinical Specialties
  5. 2024Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models
  6. 2025Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
  7. 2025Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
  8. 2025PICOs-RAG: PICO-supported Query Rewriting for Retrieval-Augmented Generation in Evidence-Based Medicine