AI-Personalized Discharge Education for People After Lung Cancer Surgery
Tests AI-personalized discharge teaching in adults leaving hospital after lung cancer surgery.
Plain-language title generated from the registry record
Registry title: AI-Personalized Discharge Education for Patients After Lung Cancer Surgery
Key facts
- Where
- Siping, ChinaSee the site
AI summary: who the study is looking for
From the trial's eligibility criteria. Machine-read from the registry text on this page, so it can be wrong. The registry text below and the trial team decide who can take part.
The trial is looking for adults aged 18 to 80 who had surgery for lung cancer and are going home to recover. It tests AI-personalized discharge teaching.
- Age
- 18 to 80 years
- Sex
- All sexes can join.
- Disease stage
- Primary lung cancer, clinical stage I to III, with no distant organ metastasis. Had surgery to remove the cancer (lobectomy, pneumonectomy or wedge resection).
- Earlier treatment
- Must not have had targeted therapy, chemotherapy or radiotherapy before. Must have had lung cancer surgery, by thoracoscopic or open approach.
Main reasons for not taking part
- Recurrent lung cancer, or earlier targeted therapy, chemotherapy or radiotherapy
- Severe aphasia, cognitive impairment (MMSE <24) or psychiatric disorder that prevents completing the questionnaires
- Severe heart, liver or kidney dysfunction, or another malignant tumor
- Severe complications after surgery needing a long hospital stay, such as bronchopleural fistula or major bleeding
- Taking part in another interventional clinical study
Read by machine on 12 November 2026.
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Source: NCT07827183, who can take part
Where in China
- Siping Central People's HospitalSiping, ChinaContact: Weiguang Zhou, Master'sTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Contact the study team: see the registry record → Contacts and Locations
Print a page for my doctorTrial details
- Who runs it
- Xiamen University
- Trial code
- NCT07827183
- Record updated
- 18 September 2026
- Original description
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.Read full original descriptionShow less
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
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.
Inclusion: Pathologically confirmed primary lung cancer and underwent radical lung cancer surgery by thoracoscopic or open approach, including lobectomy, pneumonectomy, or wedge resection; Age 18 to 80 years; Clinical stage I to III; No distant organ metastasis; Clinically stable after surgery, conscious, and able to perform basic listening, speaking, and reading activities, with planned discharge to home for recovery; The participant or primary caregiver is able to use a smartphone and WeChat; Able and willing to provide informed consent and voluntarily participate in the study.
Exclusion: Recurrent lung cancer or previous treatment with targeted therapy, chemotherapy, or radiotherapy; Severe aphasia, cognitive impairment (MMSE <24), or psychiatric disorders that prevent independent completion of study questionnaires; Severe cardiac, hepatic, or renal dysfunction, or another malignant tumor; Severe postoperative complications requiring prolonged hospitalization, such as bronchopleural fistula or major bleeding; Participation in another interventional clinical study; Unable to complete the 1-month follow-up because of travel or residence outside the study area after discharge.