Den här översättningen är inte klar ännu. Den här sidan är just nu på engelska.

Gå till den engelska sidan

Cure My Disease

Don't miss your cure!

 Log in / Sign up

AI tutors could help nurses make better decisions

NCT ID NCT07611383

Knowledge-focused Sponsor: Nevsehir Haci Bektas Veli 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 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 Results may not be published yet.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This status has not been confirmed recently, so it may be out of date.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 24, 2026 · Last updated Jun 27, 2026 · Updated 1 time

Summary

This study tests whether using artificial intelligence to support case analysis helps nursing students learn better and improve their clinical decision-making skills. About 42 second-year nursing students will be split into two groups: one using AI-supported materials and the other receiving traditional instruction. Researchers will measure changes in knowledge, learning satisfaction, and decision-making abilities.

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
What this could lead to
If successful, this could show that AI tools help nursing students learn better and make smarter clinical decisions.
What could go wrong
This is a small, early-stage study with only 42 students, so results may not apply broadly. The AI tool is just a teaching aid, not a treatment.

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

About 42 people

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

Expected to start

May 2026

An estimate. Start dates often move.

Expected to finish

May 2026

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.

Ages

Children (under 18), adults (18 to 64) and older adults (65 and over)

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 * Students who will be active second-year nursing students during the spring semester of the 2025-2026 academic year, * Who have previously taken the theoretical course on the nursing process, * Who own a smartphone with an internet connection, * Who have previously prepared a patient-specific care plan for an inpatient in at least one internal medicine clinic will be included in the sample. Exclusion Criteria: * Students who have not taken the elective course in oncology nursing, * Students who have not planned care for inpatients in internal medicine clinics during their previous clinical rotations, * Students who do not agree to participate in the study will not be included in the research

Get updates

Get notified about this study

Sign up to get updates when this study changes or when new studies for Artificial intelligence (AI) are added.

Vår säkerhetsrekommendation!

Genom att skicka in godkänner du våra Användarvillkor

As listed by the trial registrant

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

Artificial intelligence (AI) Clinical decision-making in nursing Nursing students

How to take part

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

  1. 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 ↗

  2. 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.

More trials for these conditions

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