Nursing Process CompetenceNCT07618975
The Effect of AI-Assisted Nursing Process Training on Nursing Process Competence, Perception and Attitudes Towards Artificial Intelligence in Nurses: A Randomized Controlled Study
A study testing Artificial Intelligence-Supported Nursing Process Training and Standard Theoretical Education on the Nursing Process in people with Nursing Process Competence and Artificial Intelligence Perception and Attitude, run by University of Yalova at 1 site in Turkey (Türkiye).
Trial 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… Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Nursing Process Competence, Artificial Intelligence Perception and Attitude, Nursing Education
- What is being tested?
- Artificial Intelligence-Supported Nursing Process Training and Standard Theoretical Education on the Nursing Process
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 78 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Jun 2026to 31 Dec 2026
- Phase
- Interventional
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- Healthy volunteers accepted
- Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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 locations and contacts
1 site in 1 country. Contact the study team or a site near you to ask about taking part.
Turkey (Türkiye)1 site
Yalova Training and Research Hospital
Yalova, Yalova
Seher Gul Yavas, RN, +90 541 685 8806, seher.daglii@gmail.com
About this study
Official title: Hemşirelerde Yapay Zeka Destekli Hemşirelik Süreci Eğitiminin Hemşirelik Süreci Yetkinliğine, Yapay Zeka Algı ve Tutumuna Etkisi: Randomize Kontrollü Bir Çalışma
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
Read more
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
Read the 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
- Conditions
- Nursing Process Competence, Artificial Intelligence Perception and Attitude, Nursing Education, Nursing Process, Artificial Intelligence, Clinical Competence
- Being tested
- Artificial Intelligence-Supported Nursing Process Training, Standard Theoretical Education on the Nursing Process
- Keywords
- Artificial Intelligence, Nursing Process, Nursing Education, Clinical Competence, Attitude of Health Personnel
- Medical subject headings
- Behavior
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial Intelligence-Supported Nursing Process TrainingBehavioural
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 ProcessBehavioural
Participants will receive a standard theoretical education session on the nursing process.
| Study group | Role | What they receive |
|---|---|---|
| Intervention Group | Experimental | 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. Receives: Behavioral: Artificial Intelligence-Supported Nursing Process Training; Behavioral: Standard Theoretical Education on the Nursing Process |
| Control Group | Active comparator | 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. Receives: Behavioral: Standard Theoretical Education on the Nursing Process |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: 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.
Measured: Baseline (pre-test) and 1 month after the intervention (post-test).
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted1 Jun 2026
- Study start1 Jun 2026 (estimated)
- Primary completion31 Dec 2026 (estimated)
- Study completion31 Dec 2026 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Nursing Process CompetenceStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- 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
- Masking
- None (open label)
- Enrolment
- 78 participants (estimated)
Sponsor and investigators
- Lead sponsor
- University of Yalova
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Seher Dağlı, University of Yalova
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07618975
- Sponsor's protocol ID
- 2026/183
- Status last verified
- May 2026
- First submitted
- 24 May 2026
- Last updated
- 1 Jun 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Study at a glance
From the registry record, last updated by the sponsor on 1 Jun 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Hemşirelerde Yapay Zeka Destekli Hemşirelik Süreci Eğitiminin Hemşirelik Süreci Yetkinliğine, Yapay Zeka Algı ve Tutumuna Etkisi: Randomize Kontrollü Bir Çalışma
- ClinicalTrials.gov ID
- NCT07618975
- Acronym / sponsor ID
- 2026/183
- Conditions
- Nursing Process Competence, Artificial Intelligence Perception and Attitude, Nursing Education, Nursing Process, Artificial Intelligence, Clinical Competence
- Keywords
- Artificial Intelligence, Nursing Process, Nursing Education, Clinical Competence, Attitude of Health Personnel
- Study type
- Interventional
- Recruitment status
- Not yet recruiting
- Enrolment
- 78 participants (estimated)
- Lead sponsor
- University of YalovaUniversity, hospital or other
- Study start
- 1 Jun 2026 (estimated)
- Primary completion
- 31 Dec 2026 (estimated)
- Study completion
- 31 Dec 2026 (estimated)
- First posted
- 1 Jun 2026 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- 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
| Arm | Type | Receives |
|---|---|---|
| Intervention Group | Experimental | Behavioral: Artificial Intelligence-Supported Nursing Process Training, Behavioral: Standard Theoretical Education on the Nursing ProcessParticipants 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. |
| Control Group | Active comparator | Behavioral: Standard Theoretical Education on the Nursing ProcessParticipants 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. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- 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.
Key exclusion criteria (3 listed)
- 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.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Artificial Intelligence-Supported Nursing Process TrainingParticipants will receive theoretical education on the artificial intelligence-supported nursing process and engage in applied case studies using AI tools in small groups. | Behavioural | Intervention Group |
| Standard Theoretical Education on the Nursing ProcessParticipants will receive a standard theoretical education session on the nursing process. | Behavioural | Control Group, Intervention Group |
Primary outcome
Change in Nursing Process Competence
Time frame: 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
1 secondary outcome
Change in Artificial Intelligence Perception and Attitude
Time frame: Baseline (pre-test) and 1 month after the intervention (post-test).
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 1 Jun 2026.
- Individual participant dataSharing planned: No
Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part.
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing Artificial Intelligence-Supported Nursing Process Training and Standard Theoretical Education on the Nursing Process in people with Nursing Process Competence and Artificial Intelligence Perception and Attitude, run by University of Yalova at 1 site in Turkey (Türkiye).
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 3 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: opening soon, as of the sponsor's last update on 1 Jun 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Turkey (Türkiye). Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
Contact seher gul yavaş, RN (+90 541 685 8806, seher.daglii@gmail.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Change in Nursing Process Competence (time frame: Baseline (pre-test) and 1 month after the intervention (post-test)). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 1 Jun 2026; AzTrials last refreshed its copy on 5 Nov 2026.