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Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol
Sponsor: Sakarya University
Summary
This study evaluates an AI-supported case-based educational approach for teaching nursing care of gynecologic oncology patients according to the Enhanced Recovery After Surgery (ERAS) protocol. This single-center, parallel-group randomized controlled trial was conducted during the second semester of the 2024-2025 academic year with third-year undergraduate nursing students who had successfully completed the Obstetrics and Gynecology Nursing course and its related clinical practice at a public university in western Türkiye. A total of 76 students were randomized in equal proportions to the AI-supported case-simulation group or the control group using block randomization. Six participants were lost to follow-up because of withdrawal or incomplete data collection forms, and the final analyses included 70 students (35 in each group). Data were collected before and after the intervention using the researcher-developed ERAS Protocol Nursing Care Knowledge Test and the Multidimensional 21st Century Skills Scale. Descriptive statistics, including frequencies, percentages, means, and standard deviations, were used to summarize participant characteristics and study variables. Baseline characteristics were examined using independent-samples t-tests for continuous variables and chi-square tests for categorical variables. Intervention effects were evaluated using 2 × 2 mixed-design analysis of variance (ANOVA), with time (pretest and posttest) as the within-subjects factor and group (AI-supported intervention and control) as the between-subjects factor. The principal effect of interest was the Time × Group interaction, indicating whether changes from pretest to posttest differed between groups. The same analytical approach was applied to ERAS knowledge, the total 21st-century skills score, and its subdimensions. Effect sizes were reported using partial eta squared (partial η²), and statistical significance was set at p \< .05.
Official title: Artificial Intelligence Assisted Teaching of Structured Nursing Care According to ERAS Protocol: A Randomised Controlled Trial
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
76
Start Date
2025-06-27
Completion Date
2025-07-22
Last Updated
2026-09-21
Healthy Volunteers
Yes
Interventions
Case-based learning (CBL)
During the training session, students were given a detailed explanation of an artificial intelligence (AI)-assisted case presentation structured according to the ERAS protocol. They were briefed on the data collection tools they would need to complete before and after the session. A convenient time was set, considering all participants' accessibility, and students were provided a link they could access from their mobile phones, tablets, or computers. Students participated in the AI-assisted case session online using this link. During the training process, a case scenario developed by the researchers and optimized with AI was presented to students on a digital platform. The case encompassed the entire patient care process, from diagnosis to discharge, simulating a real-life clinical environment. On the AI-assisted platform, students followed the case flow step by step, actively participating by entering their own responses at each stage of the clinical decision-making process. The plat
case-based education
Participants in the control group received a 35-40-minute instructor-led online educational session based on the same ERAS-based gynecologic oncology case. The session was delivered using PowerPoint and question-and-answer discussion. The control condition did not include access to the AI-supported simulation, AI-generated feedback, or AI-generated visual materials.
Locations (1)
Sakarya University
Adapazarı, Sakarya, Turkey (Türkiye)