AI vs. nurses: who writes better discharge instructions for heart surgery patients?

NCT ID NCT07263724

Not yet recruiting Knowledge-focused Sponsor: Hasan Kalyoncu University Source: ClinicalTrials.gov ↗

First seen Jun 26, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study will test whether an artificial intelligence system (ChatGPT-5) can create discharge education materials for patients recovering from coronary artery bypass surgery as well as experienced nurses can. Researchers will use 30 different patient scenarios and compare the content created by AI and nurses for accuracy, completeness, and clarity. The goal is to see if AI could reliably assist in patient education, potentially saving time for healthcare staff.

What this could mean

Our plain-language read of the trial. This is informational only — not medical advice or a prediction.

Active substance: ChatGPT-5 (artificial intelligence system)
What this could lead to: If successful, this could show that AI can help create reliable discharge education materials for heart surgery patients, potentially easing the workload on nurses.
What could go wrong: This is a small, early-stage study with only 30 scenarios, not a clinical trial on patients. It measures agreement between AI and nurses, not actual patient outcomes, so real-world benefits are uncertain.

This is an AI summary of the original study and may miss details. Read our disclaimer.

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for CORONARY ARTERY BYPASS GRAFT SURGERY (CABG) are added.

Our safety recommendation!

By submitting, you agree to our Terms of use

As listed by the trial registrant

The condition terms exactly as the trial's registrant entered them.

CORONARY ARTERY BYPASS GRAFT SURGERY (CABG) PATIENT EDUCATION

Contacts and locations

Locations

Hasan Kalyoncu University Faculty of Nursing

Gaziantep, Gaziantep, 27620, Turkey (Türkiye)

More trials for these conditions

Other studies related to the condition(s) this trial covers.