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.Comment: 3 pages, under revie