Artificial Intelligence Supported Case Analysis and Nursing Students

TC Erciyes University

Status: Completed

Conditions: Nursing Students; Artificial Intelligence (AI)

Treatments: Other: AI-supported case; Other: Case Analysis

Study type: Interventional

Funder types: Other

Identifiers

NCT07087288

Erciyessbfhem

Details and patient eligibility

About

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.

Full description

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.

Enrollment: 93 patients

Sex: All

Ages: 18 to 35 years old

Volunteers: Accepts Healthy Volunteers

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

Trial design

Primary purpose: Other

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: None (Open label)

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93 participants in 3 patient groups

Traditional teaching group

No Intervention group

Description:

The students in this group will be analysed by the responsible lecturer of the course.

Case Analysis Group

Active Comparator group

Description:

Students in this group will present the case of their choice from the clinic.

Treatment:

Other: Case Analysis

Artificial Intelligence Group

Experimental group

Description:

Students in this group will take artificial intelligence supported case analysis course.

Treatment:

Other: AI-supported case