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

NCT ID NCT07263724

Knowledge-focused Sponsor: Hasan Kalyoncu University Source: ClinicalTrials.gov ↗

What the study statuses mean

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Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting This study
Registered, but not yet taking participants.
By invitation only
Not open to general applications. Only people the study team invites can take part.
Paused
Paused for now. It may or may not start again.
Ongoing
Running, but no longer taking on new participants.
Completed
The trial has finished. Results may not be published yet.
Stopped early
Stopped early, before it reached the end. That can be for many reasons, including safety.
Cancelled
Cancelled before anyone took part.

Expanded access (not trials)

Expanded access
Not a trial. This treatment can be requested outside a study, case by case, for people who qualify.
Expanded access (paused)
Not a trial. The treatment can normally be requested outside a study, but is unavailable right now.
Expanded access (ended)
Not a trial. The treatment could once be requested outside a study, but no longer can.
Approved
The treatment has been approved, so it is available normally rather than through this programme.

When the status isn't known

Details not published
The full record has not been published yet, so there is little to show here.
Status unknown
This status has not been confirmed recently, so it may be out of date.

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.

Study facts

What this study's own registry entry says, in plain language.

Participants

About 30 people

The number the study aims to enrol. It can still change while the study runs.

Expected to start

Jul 2026

An estimate. Start dates often move.

Expected to finish

Dec 2027

An estimate. End dates often move.

Lead sponsor

Other sponsor

The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.

Who can take part

This study's own entry requirements. Only the study team can say for certain whether you qualify.

Who is studied

Çalışma evreni, koroner arter bypass grefti (CABG) ameliyatı geçirmiş bireyleri temsil eden 30 standart hasta senaryosundan oluşmaktadır. Her bir senaryo, CABG sonrası hastalarda yaygın olarak gözlemlenen demografik, klinik ve psikososyal özelliklerin özgün bir kombinasyonunu yansıtmaktadır. Senaryolar, klinik gerçekliği ve içerik geçerliliğini sağlamak amacıyla kalp damar cerrahisi hemşireleri, akademik hemşirelik uzmanları ve kardiyovasküler cerrahların yer aldığı multidisipliner bir ekip tarafından geliştirilmiş ve doğrulanmıştır. Bu simüle edilmiş vakalar, hem hemşireler hem de ChatGPT-5 tarafından hazırlanan taburculuk eğitimi materyalleri arasındaki uyumu değerlendirmek için gözlem birimleri olarak kullanılacaktır.

Ages

18 years and older

Sex

Anyone

Healthy volunteers

Accepted

You do not need to have the condition being studied to take part.

Show the full entry requirements

Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.

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.

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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

How to take part

Only the study team decides who joins. These are the ways to reach them.

  1. The places running it

    1 site. The list below names each one and where it is.

  2. The official record

    ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.

    Open the record ↗

  3. A doctor treating you

    A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.

Contacts and locations

Locations

  • Hasan Kalyoncu University Faculty of Nursing

    Gaziantep, Gaziantep, 27620, Turkey (Türkiye)

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