An interventional study of Artificial Intelligence-Supported Nursing Process Training and Standard Theoretical Education on the Nursing Process in Nursing Process Competence, Artificial Intelligence Perception and Attitude and Nursing Education, sponsored by University of Yalova. Not yet recruiting at 1 site in Turkey (Türkiye). Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-06-01.
Sponsored by University of Yalova · Not applicable, Interventional, and Health services research
This study aims to determine how applied artificial intelligence (AI) training affects nurses' ability to manage the nursing process and their perceptions and attitudes toward AI technology
The research is a randomized controlled trial involving 78 nurses at Yalova Education and Research Hospital
. Participants will be split into two groups: Both groups will receive standard theoretical training on the nursing process
. The intervention group will receive additional specialized training on using AI tools (such as ChatGPT and Deepseek) to help create nursing care plans through practical case studies
. Nurses' skills and views will be measured using specific scales before the training and one month after the intervention to evaluate the training's effectiveness
This randomized controlled, quasi-experimental study is designed to evaluate the impact of an applied artificial intelligence (AI)-supported nursing process training program on nurses' professional competence and their attitudes toward AI technology. The primary objective is to determine how the integration of AI tools into clinical decision-making affects nursing process efficiency and perception among healthcare professionals
. Methodology and Randomization: The study population consists of 414 nurses working at Yalova Education and Research Hospital
Intervention Protocol:
Phase 1 (Common Foundation): Both the intervention and control groups will receive a "Theoretical Training on the Nursing Process" to ensure baseline knowledge standardization . Phase 2 (AI Training - Intervention Group only): The intervention group will receive "AI-Supported Nursing Process Theoretical Training," which includes technical guidance on using AI tools (such as ChatGPT and Deepseek) for clinical care
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. Phase 3 (Practical Application - Intervention Group only): Participants will engage in hands-on workshops using structured clinical cases. They will apply AI tools to generate care plans based on NANDA-I, NIC, and NOC taxonomies
The control group will only receive the standard theoretical nursing process education and will not have access to the AI training modules until the study is completed .
Data Collection and Assessment: Data will be collected using three instruments:
The Nurse Information Form (demographics and AI usage habits) . The Nursing Process Competence Scale (to measure clinical workflow skills)
. The Artificial Intelligence Perception and Attitude Scale (YAZAT-24) (to measure attitudes toward AI integration)
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. Measurements will be conducted at two time points: baseline (pre-test) and one month following the intervention (post-test) to assess long-term retention and impact
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. Statistical Analysis: Data analysis will be performed using SPSS 22.0. Normality will be assessed via the Kolmogorov-Smirnov test. Analysis will include descriptive statistics, independent samples t-test or Mann-Whitney U for group comparisons, and Repeated Measures ANOVA or Friedman tests for within-group changes over time
Exclusion Criteria:
Participants will receive a standard theoretical education session on the nursing process. Following this, they will receive an applied artificial intelligence-supported nursing process training and engage in case study practices using AI tools.
Behavioral: Artificial Intelligence-Supported Nursing Process Training · Behavioral: Standard Theoretical Education on the Nursing Process
Participants will receive only the standard theoretical education session on the nursing process. They will not receive the artificial intelligence-supported training or case study practices during the study period.
Behavioral: Standard Theoretical Education on the Nursing Process
Participants will receive theoretical education on the artificial intelligence-supported nursing process and engage in applied case studies using AI tools in small groups.
Participants will receive a standard theoretical education session on the nursing process.
Change in Nursing Process Competence
This outcome is measured using the Nursing Process Competence Scale. The scale consists of 24 items and 5 sub-dimensions evaluated on a 5-point Likert scale. The average score ranges from 1 to 5, and higher scores indicate higher nursing process competence
Time frame: Baseline (pre-test) and 1 month after the intervention (post-test)
Change in Artificial Intelligence Perception and Attitude
This outcome is measured using the Artificial Intelligence Perception and Attitude Scale (YAZAT-24). The scale consists of 24 items and 4 sub-dimensions evaluated on a 7-point Likert scale. Higher total scores indicate more positive perceptions and attitudes towards artificial intelligence.
Time frame: Baseline (pre-test) and 1 month after the intervention (post-test).
Plan to share: No
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This study is not yet recruiting, as verified in May 2026. You cannot join it, but the record below documents what was studied.
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University of Yalova