# Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study

> **NCT07141420** · NA · ENROLLING_BY_INVITATION · sponsor: **The Affiliated Hospital Of Guizhou Medical University** · enrollment: 90 (estimated)

## Conditions studied

- Post-Intensive Care Syndrome

## Interventions

- **BEHAVIORAL:** Routine Care
- **BEHAVIORAL:** Health Promotion Model-Based Optimized Program
- **BEHAVIORAL:** LLM-Enhanced Optimized Program

## Key facts

- **NCT ID:** NCT07141420
- **Lead sponsor:** The Affiliated Hospital Of Guizhou Medical University
- **Sponsor class:** OTHER
- **Phase:** NA
- **Study type:** INTERVENTIONAL
- **Status:** ENROLLING_BY_INVITATION
- **Start date:** 2025-06-01
- **Primary completion:** 2026-01-31
- **Final completion:** 2026-02-20
- **Target enrollment:** 90 (ESTIMATED)
- **Last updated:** 2025-08-26


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07141420

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07141420, "Application of Large Language Models Techniques to Post-ICU Syndrome Management in Critically Ill Patients: A Fully Longitudinal Mixed Study". Retrieved via AI Analytics 2026-06-03 from https://api.ai-analytics.org/clinical/NCT07141420. Licensed CC0.

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