Description Module
The Description Module contains narrative descriptions of the clinical trial, including a brief summary and detailed description. These descriptions provide important information about the study's purpose, methodology, and key details in language accessible to both researchers and the general public.
Description Module path is as follows:
Study -> Protocol Section -> Description Module
Description Module
Ignite Creation Date:
2025-12-25 @ 4:17 AM
Ignite Modification Date:
2025-12-25 @ 4:17 AM
NCT ID:
NCT07141420
Brief Summary:
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:
* Does the intervention (optimized program + LLMs) improve physical, psychological, cognitive, and social function recovery compared to standard care or the optimized program alone?
* How do patients experience and perceive the utility of LLMs in PICS self-management during recovery?
Researchers will compare three groups:
1. Group A (routine care)
2. Group B (optimized program without LLMs)
3. Group C (optimized program + LLMs) to see if adding LLMs significantly enhances PICS symptom management, patient self-efficacy, and quality of life over 6 months post-discharge.
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:
* PICS Symptom Questionnaire (PICSQ)
* Pittsburgh Sleep Quality Index (PSQI)
* Anxiety (GAD-7) and Depression (PHQ-9) scales
* Self-Management Ability Scale (AHSMSRS)
* Attend semi-structured interviews (Group C only) at 3 and 6 months to share experiences with LLM use.
Study:
NCT07141420
Study Brief:
Protocol Section:
NCT07141420