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.