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NCT Number: NCT07087288

Artificial Intelligence Supported Case Analysis and Nursing Students

In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.

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Key information

Conditions

Nursing Students Artificial Intelligence (AI)

Age range

18 year–35 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Erciyes University

Kayseri, Türkiye, 38039, Turkey (Türkiye)

About this study

Background: In recent years, the integration of artificial intelligence technology into nursing education has been increasing.

Objective: In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.

Design: This study was conducted in a single-blind randomised controlled trial design.

Method: The study was planned to include 107 students actively enrolled in the 4th grade Integrated Health Practices III course in the spring semester of the 2024-2025 academic year in the nursing department.Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.Information form, Mentimeter application to determine the ability to determine nursing diagnoses and case management performance evaluation, and Quizizz application for knowledge test were used for data collection.In addition, a semi-structured interview form was used.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

AI-supported case

Other

In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.

Case Analysis

Other

The case analysis will be made through the presentation prepared by the students in the group.

Primary outcomes

  1. Case Management Performance

    Time frame: Immediately after the case analysis session

    In this study, nursing students' interest, focus, satisfaction and motivation levels in the evaluation of traditional teaching method, case analysis method and artificial intelligence supported case analysis method courses were evaluated with Visual Analogue Scale (VAS) over 10 points using Mentimeter application.

  2. Nursing Diagnosis Determination Skills

    Time frame: Immediately after the case analysis session

    With the Mentimeter application, students were asked to identify 5 prioritised nursing diagnoses related to the case. There is no scoring here, but the application creates a word cloud where the most common answer is shown in a larger font.

Sponsors and collaborators

Lead sponsor

TC Erciyes University

Other

Registry information

Official study title

The Effect of Artificial Intelligence Supported Case Analysis Method on Nursing Students' Knowledge, Case Management Performance and Nursing Diagnosis Determination Skills

Important dates

Study start
2025
Primary completion
2025
Study completion
2025
First posted
Jul 25, 2025
Registry last updated
Jul 27, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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