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

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Freire, Samuel Kernan, van Mol, Margo MC, Schol, Carola, Vieira, Elif Özcan
Format: Preprint
Publié: 2024
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866913241284739072
author Freire, Samuel Kernan
van Mol, Margo MC
Schol, Carola
Vieira, Elif Özcan
author_facet Freire, Samuel Kernan
van Mol, Margo MC
Schol, Carola
Vieira, Elif Özcan
contents 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.
format Preprint
id arxiv_https___arxiv_org_abs_2402_15205
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
Freire, Samuel Kernan
van Mol, Margo MC
Schol, Carola
Vieira, Elif Özcan
Human-Computer Interaction
Artificial Intelligence
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.
title Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
topic Human-Computer Interaction
Artificial Intelligence
url https://arxiv.org/abs/2402.15205