RecruitingNot ApplicableNCT07827183

AI-Personalized Discharge Education for Patients After Lung Cancer Surgery

Effect of AI-Personalized Discharge Education on the Quality of Discharge Teaching and Recovery Outcomes in Patients After Lung Cancer Surgery: A Randomized Controlled Trial


Sponsor

Xiamen University

Enrollment

156 participants

Start Date

Aug 15, 2026

Study Type

INTERVENTIONAL

Conditions

Summary

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.


Eligibility

Min Age: 18 YearsMax Age: 80 Years

Plain Language Summary

Simplified for easier understanding

This clinical trial is studying a behavioral approach called AI-Personalized Discharge Education and a behavioral approach called Routine Discharge Education for people with lung cancer (diagnosis). The study is currently recruiting participants at 1 location. People eligible for this study include aged 18 Years to 80 Years.

This summary was AI-generated to explain the trial in plain language. It is not medical advice. Always discuss eligibility with your doctor before enrolling in a clinical trial.

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Interventions

BEHAVIORALAI-Personalized Discharge Education

Participants receive an individualized discharge guidance plan generated by an artificial intelligence system based on clinical and care-related information, including surgical approach, extent of lung resection, pain and dyspnea scores, comorbidities, discharge medications, home care conditions, educational level, smoking history, and postoperative complications. The guidance includes medication instructions, respiratory exercises, wound and activity management, follow-up planning, and warning signs requiring medical attention. All AI-generated content is reviewed by a responsible nurse before being provided to the participant or caregiver.

BEHAVIORALRoutine Discharge Education

Participants receive routine discharge education provided by nursing staff, including verbal instructions and a standardized printed discharge booklet covering medication use, wound care, respiratory exercises, physical activity, diet, follow-up, and other routine postoperative care.


Locations(1)

Siping Central People's Hospital

Siping, Jilin, China

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NCT07827183


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