# 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

> **NCT07263724** · — · NOT_YET_RECRUITING · sponsor: **Hasan Kalyoncu University** · enrollment: 30 (estimated)

## Conditions studied

- Coronary Artery Bypass Graft Surgery (CABG)
- Patient Education

## Interventions

_None listed._

## Key facts

- **NCT ID:** NCT07263724
- **Lead sponsor:** Hasan Kalyoncu University
- **Sponsor class:** OTHER
- **Phase:** —
- **Study type:** OBSERVATIONAL
- **Status:** NOT_YET_RECRUITING
- **Start date:** 2026-07-01
- **Primary completion:** 2027-06-01
- **Final completion:** 2027-12-01
- **Target enrollment:** 30 (ESTIMATED)
- **Last updated:** 2026-04-02


## Primary source

ClinicalTrials.gov registry: https://clinicaltrials.gov/study/NCT07263724

## Citation

> US National Library of Medicine, ClinicalTrials.gov registration NCT07263724, "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". Retrieved via AI Analytics 2026-06-25 from https://api.ai-analytics.org/clinical/NCT07263724. Licensed CC0.

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