The Effect of AI-Assisted Nursing Process Training on Nursing Process Competence, Perception and Attitudes Towards Artificial Intelligence in Nurses: A Randomized Controlled Study

Trial statusNot yet recruiting
Trial phaseNot applicable
Trial typeInterventional
Biological sexAll
Age18+
SponsorUniversity of Yalova

About this trial

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

Eligibility criteria

This trial accepts healthy volunteers

Qualifiers

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.

Disqualifiers

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.

Trial design

Design model

Parallel

Treatments tested in this trial

  • Artificial Intelligence-Supported Nursing Process Training

    Behavioral

    Participants will receive theoretical education on the artificial intelligence-supported nursing process and engage in applied case studies using AI tools in small groups.

  • Standard Theoretical Education on the Nursing Process

    Behavioral

    Participants will receive a standard theoretical education session on the nursing process.

Treatment groups

78 Participants
are divided into 2 treatment groups
Group A: Intervention GroupExperimental treatment 2 interventions
Group B: Control GroupActive comparator 1 intervention

Trial outcomes

Primary outcomes

1

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)

Secondary outcomes

1

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).

Other outcomes

Sponsors and contacts

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