mlsanityData to 7 Oct 2026

WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models

arXiv 2305.02220 ↗First posted 3 May 2023cs.CL cs.AI cs.LGcited by 7

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Abstract (arXiv)

This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic clinical note generation from doctor-patient conversations. We report results for two approaches: the first fine-tunes a pre-trained language model (PLM) on the shared task data, and the second uses few-shot in-context learning (ICL) with a large language model (LLM). Both achieve high performance as measured by automatic metrics (e.g. ROUGE, BERTScore) and ranked second and first, respectively, of all submissions to the shared task. Expert human scrutiny indicates that notes generated via the ICL-based approach with GPT-4 are preferred about as often as human-written notes, making it a promising path toward automated note generation from doctor-patient conversations.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 20 of its 36 references that are in the map. First posted on arXiv 3 May 2023.

Builds on

20 of 36 references.

References · 20

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8 more
  1. 2020Generating SOAP Notes from Doctor-Patient Conversations Using Modular Summarization Techniquescited by 64
  2. 2020Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structurescited by 49
  3. 2021Leveraging Pretrained Models for Automatic Summarization of Doctor-Patient Conversationscited by 42
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  5. 2022Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generationcited by 33
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 2; 2024: 2; 2025: 2; 2026: 1.

7 papers.

  1. 2023Large language models in healthcare and medical domain: A reviewcited by 126
  2. 2023A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4cited by 81
  3. 2024CLINICSUM: Utilizing Language Models for Generating Clinical Summaries from Patient-Doctor Conversationscited by 7
  4. 2025Automated Survey Collection with LLM-based Conversational Agentscited by 6
  5. 2024WangLab at MEDIQA-CORR 2024: Optimized LLM-based Programs for Medical Error Detection and Correctioncited by 4
  6. 2025Are LLMs reliable? An exploration of the reliability of large language models in clinical note generationcited by 2
  7. 2026DocTalkBN: A Novel Dataset of Expert Telemedicine Conversations in Bengalicited by 0