mlsanityData to 7 Oct 2026

Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections

arXiv 2406.18094 ↗First posted 26 Jun 2024cs.CLcited by 3

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Abstract (arXiv)

In this paper, we present our approach to the shared task "Discharge Me!" at the BioNLP Workshop 2024. The primary goal of this task is to reduce the time and effort clinicians spend on writing detailed notes in the electronic health record (EHR). Participants develop a pipeline to generate the "Brief Hospital Course" and "Discharge Instructions" sections from the EHR. Our approach involves a first step of extracting the relevant sections from the EHR. We then add explanatory prompts to these sections and concatenate them with separate tokens to create the input text. To train a text generation model, we perform LoRA fine-tuning on the ClinicalT5-large model. On the final test data, our approach achieved a ROUGE-1 score of 0.394, which is comparable to the top solutions.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 15 of its 41 references that are in the map. First posted on arXiv 26 Jun 2024.

Builds on

15 of 41 references.

References · 15

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3 more
  1. 2022Summarizing Patients Problems from Hospital Progress Notes Using Pre-trained Sequence-to-Sequence Modelscited by 30
  2. 2023Overview of the Problem List Summarization (ProbSum) 2023 Shared Task on Summarizing Patients' Active Diagnoses and Problems from Electronic Health Record Progress Notescited by 11
  3. 2024WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IVcited by 5

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Cited by year

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

3 papers.

  1. 2024Overview of the First Shared Task on Clinical Text Generation: RRG24 and "Discharge Me!"cited by 19
  2. 2025Benchmarking Large Language Models on Multiple Tasks in Bioinformatics NLP with Promptingcited by 8
  3. 2025Natural Language Generation in Healthcare: A Review of Methods and Applicationscited by 3