Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study
Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study
The goal of this clinical trial is to evaluate whether Large Language Models (LLMs) combined with an optimized care program can effectively manage Post-Intensive Care Syndrome (PICS) in adult ICU survivors (aged ≥18 years) discharged from a tertiary hospital in China. The main questions it aims to answer are:
Researchers will compare three groups:
Participants will:
Install and use the Kimi Smart Assistant LLM (Group C only) for health queries under nurse supervision.
Complete standardized questionnaires at discharge (baseline), 7 days, 1 month, 3 months, and 6 months post-discharge:
Attend semi-structured interviews (Group C only) at 3 and 6 months to share experiences with LLM use.
Inclusion Criteria:
Exclusion Criteria:
Hearing impairment Dysarthria Other conditions preventing follow-up assessments.