mlsanityData to 7 Oct 2026

Retrieval-Augmented Generation Based Nurse Observation Extraction

arXiv 2603.26046 ↗First posted 27 Mar 2026cs.CLcited by 1

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

Abstract (arXiv)

Recent advancements in Large Language Models (LLMs) have played a significant role in reducing human workload across various domains, a trend that is increasingly extending into the medical field. In this paper, we propose an automated pipeline designed to alleviate the burden on nurses by automatically extracting clinical observations from nurse dictations. To ensure accurate extraction, we introduce a method based on Retrieval-Augmented Generation (RAG). Our approach demonstrates effective performance, achieving an F1-score of 0.796 on the MEDIQA-SYNUR test dataset.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Medical and biomedical RAG, one of 15 directions in Retrieval-augmented generation. Builds on 11 of its 13 references that are in the map. First posted on arXiv 27 Mar 2026.

Builds on

11 of 13 references.

References · 11

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  3. 2023LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Daycited by 1,287
  4. 2019ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmissioncited by 487
  5. 2023ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledgecited by 324
  6. 2019Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasetscited by 298
  7. 2022MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Textcited by 216
  8. 2023Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encodingcited by 71
  9. 2022Unifying Vision-Language Representation Space with Single-tower Transformercited by 21
  10. 2023NICE: CVPR 2023 Challenge on Zero-shot Image Captioningcited by 9
  11. 2025Empowering Healthcare Practitioners with Language Models: Structuring Speech Transcripts in Two Real-World Clinical Applicationscited by 7

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026Team MKC at CLPsych 2026: Capturing and Characterizing Mental Health Changes through Social Media Timeline Dynamicscited by 0

Similar, not cited

Close in wording, no citation either way

  1. 2026Retrieval-Augmented Large Language Models for Schema-Constrained Clinical Information Extraction
  2. 2025Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations
  3. 2026Harnessing Large Language Models for Precision Querying and Retrieval-Augmented Knowledge Extraction in Clinical Data Science
  4. 2024Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report
  5. 2025Grounding Large Language Models in Clinical Evidence: A Retrieval-Augmented Generation System for Querying UK NICE Clinical Guidelines
  6. 2025Evaluating Retrieval-Augmented Generation vs. Long-Context Input for Clinical Reasoning over EHRs
  7. 2025Retrieval Augmented Generation Evaluation for Health Documents
  8. 2026Pursuing Best Industrial Practices for Retrieval-Augmented Generation in the Medical Domain