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AI-Personalized Discharge Education for Patients After Lung Cancer Surgery

Study acronym: AI-LUNG
StatusRecruiting
PhaseNot applicable
Started
View on ClinicalTrials.gov ↗
Record status
This record was last updated September 18, 2026 (before its estimated October 15, 2026 completion). Its status may not reflect the trial's current state.

Record History

  1. Study First Submitted
This randomized controlled trial evaluates the effect of artificial intelligence (AI)-personalized discharge education on discharge teaching quality and recovery outcomes in patients after lung cancer surgery. Eligible participants will be randomly assigned in a 1:1 ratio to either an intervention group or a control group. The control group will receive routine discharge education, including verbal instructions and a standardized printed discharge booklet. The intervention group will receive the same routine education plus an AI-generated personalized discharge guidance plan based on individual clinical and care-related information. All AI-generated content will be reviewed by a responsible nurse before being provided to participants. The primary outcome is the quality of discharge teaching measured on the day of discharge. Secondary outcomes include self-efficacy for postoperative rehabilitation management and quality of life assessed one month after discharge.
Trial Details
NCT Number NCT07827183
Lead Sponsor Xiamen University
Conditions
(from sponsor)		 Lung Cancer (Diagnosis)
Related terms Disease, Lung Neoplasms
Enrollment 156 participants
Start Date
Primary Completion (estimated)
Study Completion (estimated)
Updated on ClinicalTrials.gov