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.

翻译：重症监护室（ICU）患者在长期康复过程中常出现新的健康相关问题。医疗专业人员记录患者住院日记已被证明是应对这一问题的有效策略，但面临时间不足、不知如何撰写等实施障碍。大语言模型凭借其生成类似人类文本的能力和适应性，可解决这些挑战。然而，实现这一愿景需应对若干社会技术及实践性研究难题。本文探讨了这些挑战，并提出利用大语言模型在ICU日记撰写中的潜力、最终改善ICU患者长期康复效果的研究方向。