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Determining the Consistency Between Nurses and Artificial Intelligence (ChatGPT-5) in Delivering Scenario-Based Discharge Education to Coronary Artery Bypass Graft Patients: A Methodological Study

Turkey (Türkiye)30 participantsStarted 2026-07-01

Plain-language summary

This methodological study aims to determine the level of agreement between nurses and an artificial intelligence system (ChatGPT-4.0) in providing scenario-based discharge education for patients who have undergone coronary artery bypass graft (CABG) surgery. Thirty standardized patient scenarios representing different demographic, clinical, and psychosocial characteristics will be used. For each scenario, both expert nurses and ChatGPT-4.0 will prepare discharge education content based on six main domains and twenty-four subtopics identified from the literature and clinical guidelines. The educational materials will be independently evaluated by two blinded reviewers in terms of content accuracy, completeness, scientific consistency, and clarity of language. Agreement between nurses and AI-generated content will be analyzed using Cohen's Kappa coefficient and Fisher's Exact Test. The findings are expected to provide evidence for the reliability and applicability of AI-assisted discharge education systems in cardiac surgery nursing practice.

Who can participate

Age range

18 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

Inclusion Criteria: * Patient scenarios representing individuals who have undergone coronary artery bypass graft (CABG) surgery. * Scenarios that include demographic, socioeconomic, clinical, and psychosocial information consistent with current literature and clinical guidelines. * Scenarios describing patients who underwent median sternotomy and on-pump CABG procedure. * Scenarios that include relevant postoperative complications (e.g., delirium, bleeding, wound infection, arrhythmia) and comorbidities (e.g., diabetes, hypertension, COPD). * Scenarios that enable both nurse and ChatGPT-5 to prepare discharge education materials under the same standardized framework. * Scenarios reviewed and validated by cardiovascular surgery experts and nurse academicians for content validity. Exclusion Criteria: * Patient scenarios not related to coronary artery bypass graft (CABG) surgery. * Scenarios lacking sufficient demographic, clinical, or psychosocial information to prepare individualized discharge education. * Scenarios that do not follow the standardized structure of six main domains and twenty-four subtopics. * Scenarios with inconsistent or contradictory medical data (e.g., incompatible diagnosis and treatment details). * Scenarios not validated by the expert review panel for clinical accuracy and content validity. * Scenarios that do not allow comparison between nurse-generated and ChatGPT-5-generated discharge education materials.

Questions worth asking your doctor

Bring these to your next appointment. They're a starting point for a shared conversation — not a sign you qualify or a recommendation to enrol.

1Based on my diagnosis and history, is this trial worth exploring for me — or is there a standard treatment we should try first?
2What does this trial's phase tell us about how much is already known about its safety and benefit?
3What would taking part actually involve for me — visits, tests, time, and travel?
4What are the known and possible risks or side effects I should weigh, and how would they be monitored?
5If this trial isn't the right fit, what other options or trials would you suggest I look into?

Generated to help you prepare — always confirm anything about your own eligibility and care with the study team and your doctor.

Questions for the trial coordinator

The trial coordinator is the person who runs the study day to day. These cover the practical side — logistics, costs, and what taking part would actually mean for your life. The study team confirms whether you meet the criteria; these are questions to ask, not a sign you qualify.

1What does taking part actually involve week to week — how many visits, where, and how long does each one take?
2What costs are covered by the study, and what might I have to pay for myself, including travel, parking, or time off work?
3What happens during screening, and what happens if the study team confirms I don't meet the criteria after those tests?
4Who pays for the scans, blood work, and other tests the trial requires — the study, my insurance, or me?
5How will being in the trial affect my regular care, and will my own doctor stay informed and involved?
6Can I leave the trial at any point if I change my mind, and what would happen to my care if I do?

A starting point for the conversation — always confirm anything about your own eligibility, costs, and care with the study team and your doctor.

What they're measuring

Agreement Between Nurse- and ChatGPT-5-Generated Discharge Education Content

Timeframe: During data collection (expected within 8 months after study start).

Agreement Between Nurse- and ChatGPT-5-Generated Discharge Education Content

Timeframe: During data collection (expected within 12 months after study start).

Trial details

NCT IDNCT07263724

SponsorHasan Kalyoncu University

Sponsor typeOTHER

Study typeOBSERVATIONAL

Primary completion2027-06-01

View on ClinicalTrials.gov More Coronary Artery Bypass Graft Surgery (CABG) trials

Plain-language summary

Who can participate

Age range

18 Years

Sex

ALL

See this in plain English?

AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.

What they're measuring

Agreement Between Nurse- and ChatGPT-5-Generated Discharge Education Content

Timeframe: During data collection (expected within 8 months after study start).

Agreement Between Nurse- and ChatGPT-5-Generated Discharge Education Content

Timeframe: During data collection (expected within 12 months after study start).