Artificial Intelligence Supported Case Analysis on Nursing Education

Background: Rapid developments in the field of artificial intelligence have begun to necessitate changes and transformations in nursing education.

Objective: This study aimed to evaluate the impact of an artificial intelligence-supported case created in the in-class case analysis lecture for nursing students on students' case management performance and satisfaction.

Design: This study was a randomized controlled trial. Method: The study involved 188 third-year nursing students who were randomly assigned to either the AI group (n=94) and control group (n=94). An information form, case evaluation form, knowledge test, and Mentimeter application were used to assess the students' case management performance and nursing diagnoses. The level of satisfaction with the case analysis lecture was evaluated using the VAS scale.

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Key information

Conditions

Artificial Intelligence Nursing Education Nursing Students

Age range

20 year–25 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

Erciyes University

Kayseri, Turkey (Türkiye)

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

having taken nursing process lecture before
having planned care for at least one surgical patient in clinical practice before
having a mobile phone with internet connection

Exclusion criteria

not attending the case analysis lecture
not being an active student
incomplete completion of the data collection forms
not accepting to participate in the study

Treatment and study plan

AI-supported case

Other

In the artificial intelligence-supported case lesson, students will listen to audio and visual content prepared by artificial intelligence.

Primary outcomes

Case management performance

Time frame: 3 hours

The performances of all students included in this study regarding the case lesson were evaluated by means of a knowledge test consisting of 10 questions and a Mentimeter application in which they could indicate their nursing diagnoses. The students will solve the tests after the case lessons are completed. The scores that can be obtained from the tests are between 0-100. As the score of the students increases, it can be interpreted that the level of knowledge increases. In the Mentimeter application, students will be asked to write 5 nursing diagnoses. There is no scoring here, but the application creates a word cloud with the most given answer in a larger font size.
Case Satisfaction

Time frame: 3 hours

The level of satisfaction with the case analysis lecture was evaluated using the VAS scale. The VAS scale is scored between 1-10. Students indicate their satisfaction with the processing of the case lesson. High scores on the VAS indicate a high level of satisfaction.

Sponsors and collaborators

Lead sponsor

TC Erciyes University

Other

Registry information

Official study title

The Effect of Artificial Intelligence Supported Case Analysis on Nursing Students' Case Management Performance and Satisfaction: A Randomized Controlled Trial

Important dates

Study start: 2024
Primary completion: 2024
Study completion: 2024
First posted: Jun 5, 2024
Registry last updated: Jun 5, 2024

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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Completed