Clinical trialNo phase (not a drug trial)Not yet recruiting
AI-Assisted Education Before Surgery to Prevent Lung Complications in Older Surgical Patients
Effect of Artificial Intelligence-Assisted Preoperative Patient Education on the Prevention of Pulmonary Complications in Geriatric Surgical Patients
- Outcome
- Ongoing
- Phase
- No phase (not a drug trial)
- Status
- Not yet recruiting
- Study type
- Interventional
- Start
- 30 October 2026
- Expected end
- June 2027
- Enrollment
- 242 participants
- Sites
- 1
- Primary outcomes
- Proportion of Participants With at Least One Postoperative Pulmonary Complication
- Sponsor type
- Academic / other
- Results posted
- No
- Last update
- 22 October 2026
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Brief summary public domain (ClinicalTrials.gov)
This study aims to determine whether preoperative patient education prepared with the assistance of artificial intelligence can reduce lung complications after major abdominal surgery in older patients. A total of 242 patients will be randomly assigned to an education group or a usual care group. Patients in the education group will receive education from a researcher at least 24 hours before surgery, using educational materials developed with artificial intelligence and reviewed by experts. Their questions will be answered, and they will receive a printed copy of the educational material. Patients in the usual care group will receive standard nursing care. Both groups will be assessed before surgery and on postoperative days 1, 3, 7, and 30. Follow-up assessments will be conducted face-to-face during hospitalization and by telephone after discharge. The researcher assessing postoperative complications will not know which group patients have been assigned to. The occurrence of postoperative lung complications will be compared between the two groups.
Detailed description public domain (ClinicalTrials.gov)
This single-center, randomized controlled trial will evaluate the effect of artificial intelligence-assisted preoperative patient education on postoperative pulmonary complications in patients aged 65 years and older undergoing major abdominal surgery at Erciyes University Health Application and Research Center in Kayseri, Türkiye. Educational content will be developed using ChatGPT and converted into an illustrated patient education material. Before clinical use, the material will be assessed for readability and reviewed by 10 surgical nursing experts using the Patient Education Materials Assessment Tool for Printable Materials (PEMAT-P). Participants will be assigned to the intervention or control group using a computer-generated simple randomization sequence. A researcher will obtain written informed consent and deliver the educational intervention. A separate researcher, unaware of group allocation, will collect baseline data and assess postoperative complications. Participants in the intervention group will receive preoperative education at least 24 hours before surgery using the prepared educational material. Their questions will be answered, and a printed copy of the material will be provided. Participants in the control group will receive standard nursing care without the study-specific educational intervention. Baseline demographic and clinical characteristics will be recorded, including preoperative oxygen saturation and the ARISCAT score for postoperative pulmonary risk assessment. Postoperative pulmonary and other surgical complications will be recorded using a structured complication follow-up form on postoperative days 1, 3, 7, and 30. Assessments will be conducted face-to-face during hospitalization and by telephone after discharge.