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Can AI help nurses learn to diagnose better?

NCT ID NCT07087288

Knowledge-focused Sponsor: TC Erciyes University Source: ClinicalTrials.gov ↗

What the study statuses mean

This study's is highlighted.

Recruitment status, easiest to join first

Recruiting now
This trial is taking on new participants right now.
Not yet recruiting
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 This study
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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 Jul 27, 2026 · Last updated Jul 28, 2026 · Updated 1 time

Summary

This trial compares three teaching methods for nursing students: traditional teaching, case analysis, and AI-supported case analysis. The goal is to see if AI can boost students' knowledge, case management performance, and ability to identify nursing diagnoses. About 93 fourth-year nursing students will take part, and their skills will be measured using surveys and word-cloud exercises.

What this could mean

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

Active substance
AI-supported case analysis method
What this could lead to
If effective, this approach could enhance nursing education by using AI to improve students' clinical reasoning and diagnostic skills.
What could go wrong
This is a small, single-blind trial with subjective outcomes, so results may not generalize widely. The AI tool's impact may be modest or limited by students' familiarity with technology.

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.

Phase

Not a phased trial

Phase numbers describe drug development. The registry uses this when they do not apply, as it does for trials of devices, procedures or behaviour changes, and for observational studies.

Participants

93 people

The number who actually took part.

Started

Apr 2025

Finished

Jun 2025

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.

Ages

18 to 35 years

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: * Active fourth year nursing students in the spring term of the 2024-2025 academic year in which the study was conducted, * Having taken the nursing process theoretical course before, * Having a mobile phone with an internet connection, * Students who have previously prepared a care plan specific to their inpatients in at least one internal medicine clinic Exclusion Criteria: * Students who do not take the Integrated Health Practices III course, * Have not planned care for inpatients in internal medicine clinics in previous clinical practice, * Students who did not agree to participate in the study

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As listed by the trial registrant

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

Artificial intelligence (AI) Nursing students

Contacts and locations

Locations

  • Erciyes University

    Kayseri, Türkiye, 38039, Turkey (Türkiye)

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