Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing

Samuel Kernan Freire; Margo MC van Mol; Carola Schol; Elif Özcan Vieira

Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing

Human-Computer Interaction 2024-02-26 v1 Artificial Intelligence

Authors: Samuel Kernan Freire , Margo MC van Mol , Carola Schol , Elif Özcan Vieira

Abstract

Intensive care unit (ICU) patients often develop new health-related problems in their long-term recovery. Health care professionals keeping a diary of a patient's stay is a proven strategy to tackle this but faces several adoption barriers, such as lack of time and difficulty in knowing what to write. Large language models (LLMs), with their ability to generate human-like text and adaptability, could solve these challenges. However, realizing this vision involves addressing several socio-technical and practical research challenges. This paper discusses these challenges and proposes future research directions to utilize the potential of LLMs in ICU diary writing, ultimately improving the long-term recovery outcomes for ICU patients.

Keywords

intensive care unit patient recovery large language models diary writing nursing support socio-technical challenges

Cite

@article{arxiv.2402.15205,
  title  = {Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing},
  author = {Samuel Kernan Freire and Margo MC van Mol and Carola Schol and Elif Özcan Vieira},
  journal= {arXiv preprint arXiv:2402.15205},
  year   = {2024}
}

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Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing

Abstract

Keywords

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