Enhancing ICU Patient Recovery: Using LLMs to Assist Nurses in Diary Writing
Freire, Samuel Kernan, van Mol, Margo MC, Schol, Carola, Vieira, Elif Özcan
–arXiv.org Artificial Intelligence
Despite this progress, patients often face various health-related challenges in their long-term recovery[9, 10]. More than half of patients develop new physical, psychological, and/or cognitive problems following their ICU admission [7], collectively referred to as Post Intensive Care Syndrome (PICS) [3, 25]. Family members also experience a stressful period, potentially leading to psychological problems addressed as PICS-Family (PICS-F) [2]. Patient and family-centered care (PFCC) at the ICU, including emotional support and follow-up service, could mitigate the symptoms associated with both PICS and PICS-F. In this study, we explored how an emerging technology, i.e., large language models, could support the emotional well-being of people exposed to critical care.
arXiv.org Artificial Intelligence
Feb-23-2024
- Country:
- Genre:
- Research Report (1.00)
- Industry:
- Health & Medicine > Nuclear Medicine (0.46)
- Technology: