Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
February 23, 2024 Β· Declared Dead Β· π arXiv.org
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Authors
Samuel Kernan Freire, Margo MC van Mol, Carola Schol, Elif Γzcan Vieira
arXiv ID
2402.15205
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI
Citations
2
Venue
arXiv.org
Last Checked
4 months ago
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.
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