Artificial Intelligence, Artificial Intelligence (AI), Artificial Intelligence Perception and Attitude, Clinical Competence, Nursing Education, Nursing Process, Nursing Process Competence
Conditions
Keywords
Artificial Intelligence, Nursing Process, Nursing Education, Clinical Competence, Attitude of Health Personnel
Brief summary
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 nursing process is a scientific, six-stage approach used by nurses to identify patient needs and provide holistic care 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 study is expected to provide valuable insights into how AI can support clinical decision-making and help healthcare providers adapt to new technologies * The research has been approved by the Yalova University Ethics Committee (Protocol 2026/183) and will be conducted between May and December 2026
Detailed description
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 * Based on power analysis (power=0.95, alpha=0.05), a total of 78 nurses will be recruited and randomized into two groups: an intervention group (n=39) and a control group (n=39) * Randomization will be conducted following the collection of baseline (pre-test) data 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 , . 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 * This phase includes structured debriefing and feedback sessions led by the researcher 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) , . 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 , . 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
Interventions
BEHAVIORALArtificial Intelligence-Supported Nursing Process Training
Participants will receive theoretical education on the artificial intelligence-supported nursing process and engage in applied case studies using AI tools in small groups.
BEHAVIORALStandard Theoretical Education on the Nursing Process
Participants will receive a standard theoretical education session on the nursing process.
Sponsors
University of Yalova
Study design
Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
HEALTH_SERVICES_RESEARCH
Masking
NONE
Masking description
Participants who meet the inclusion criteria will be randomly assigned to one of two parallel groups: the intervention group or the control group. Both groups will receive a standard theoretical education session on the nursing process. Following this, the intervention group will additionally receive an applied artificial intelligence-supported nursing process training and case study practices. The control group will not receive the AI-supported training during the study period. Both groups will be evaluated simultaneously using pre-tests before the interventions and post-tests one month after the interventions.
Intervention model description
The study is a quasi-experimental pre-test and post-test randomized controlled trial. Participants who meet the inclusion criteria will be randomly assigned to either the intervention group or the control group * Both groups will receive a standard theoretical education session on the nursing process. Following this, the intervention group will receive an applied artificial intelligence-supported nursing process training and case study practices, while the control group will not receive this additional AI training * Pre-test and post-test measurements will be applied to both groups simultaneously
Eligibility
Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
Yes
Inclusion criteria
* Volunteering to participate in the study. * Working actively as a nurse in the specified institution (Yalova Training and Research Hospital). * Not having previously used artificial intelligence in the nursing process.
Exclusion criteria
* Refusing to participate in the study. * Having previously used artificial intelligence in the nursing process. Submitting incomplete data collection forms. * Requesting to withdraw from the study.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Change in Nursing Process Competence | Baseline (pre-test) and 1 month after the intervention (post-test) | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in Artificial Intelligence Perception and Attitude | Baseline (pre-test) and 1 month after the intervention (post-test). | 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. |
Countries
Turkey (Türkiye)
Contacts
CONTACTseher gul yavaş, RN
CONTACTSeyda can, Assoc. Prof. Dr.
Outcome results
None listed