Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
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Abstract (arXiv)
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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References · 5
- 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
- 2022Large Language Models Encode Clinical Knowledgecited by 1,807
- 2021Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Surveycited by 457
- 2024Self-Discover: Large Language Models Self-Compose Reasoning Structurescited by 108
- 2023Lessons Learnt from a Multimodal Learning Analytics Deployment In-the-wildcited by 5
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