Artificial IntelligenceNCT07090408
Use of Artificial Intelligence in Nursing Education
A study testing Artificial intelligence support in people with Artificial Intelligence, run by Recep Tayyip Erdogan University at 1 site in Turkey (Türkiye).
Trial summary
In this study, the effect of using ChatGPT, one of the artificial intelligence tools, on nursing students' case analysis and readiness for medical artificial intelligence will be evaluated. Read more about this study
- Who is it for?
- Ages 18 years and olderHealthy volunteers can take part
- Conditions the study is for
- Artificial Intelligence
- What is being tested?
- Artificial intelligence support
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 59 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Feb 2025to 30 Jun 2025
- Phase
- Interventional
- Are there results?
- None posted in the registry
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
- Students who agree to participate in the study
- 2nd year students who are actively studying in the Nursing Department of the Faculty of Health Sciences of a university
- Students who use smartphones
Who cannot join
- Not accepting to participate in the research,
- Not using a smartphone
Trial locations and contacts
1 site in 1 country.
Turkey (Türkiye)1 site
Recep Tayyip Erdogan University Faculty of Health Sciences
Rize, Centre, 53100
About this study
Official title: The Effect of Chatgpt Usage on Case Analysis and Medical Artificial Intelligence Readiness Among Nursing Students: A Randomized Controlled Trial
In this study, the effect of using ChatGPT, one of the artificial intelligence tools, on nursing students' case analysis and readiness for medical artificial intelligence will be evaluated.
Read the detailed description
In studies on artificial intelligence in the field of nursing; it is observed that nurses reduce their workload by remotely monitoring psychiatric patients with an artificial intelligence-based sensor, there is a significant decrease in emergency room visits with an artificial intelligence-supported camera monitoring system to prevent dementia patients from falling, and the risk of pressure sores in patients in the intervention group is reduced by developing a network measurement system to predict pressure sores. Such widespread use of artificial intelligence in the nursing profession contributes to faster analysis and active management of the care process by nurses in diagnosing possible risk factors and solving any problems encountered. Thus, nurses' workload will decrease and a more efficient nursing care process will emerge. The attitude towards artificial intelligence in nursing students preparing for the profession is actually positive even in the first years of education. These results show that new generation nurses adopt artificial intelligence and its usability in the profession in the future. In fact, more academic and practical studies are needed on artificial intelligence, which has entered all professional lives in a new and rapid way. The increase in such studies, especially among students preparing for the nursing profession, will reflect both the knowledge gap in students and the necessity of proven studies in the field. The attitudes of nursing students towards new technologies and their acceptance of these innovations are especially important because they play a key role in health care. Therefore, it is necessary to learn how nursing students understand and adopt new technologies such as artificial intelligence-based technologies. When looking at the literature, it is possible to come across different studies on artificial intelligence in nursing students. However, in this study, the effect of using ChatGPT, one of the artificial intelligence tools, on case analysis and medical artificial intelligence readiness in nursing students will be evaluated.
- Conditions
- Artificial Intelligence
- Being tested
- Artificial intelligence support
- Keywords
- artificial intelligence, nursing students, nursing care
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Artificial intelligence supportBehavioural
Each student in the intervention group will be asked to solve a given case example using ChatGPT support. However, students in the control group will be asked to analyze the case using their own academic knowledge without ChatGPT support.
| Study group | Role | What they receive |
|---|---|---|
| Control arm | No intervention | The control arm - control group (30 students); students were asked to analyze the case with the traditional method. |
| Intervention arm | Experimental | Artificial intelligence support Receives: Behavioral: Artificial intelligence support |
What is being measured
The primary outcome is the main question the study is designed to answer.
Case analysis delivery time
The case analysis score was evaluated between 0 and 100 points.
Measured: (one lesson duration) approximately 30-40 minutes
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted29 Jul 2025
- Study start1 Feb 2025
- Primary completion25 Feb 2025
- Study completion30 Jun 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Artificial IntelligenceStudies 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
- Other
- Allocation
- Randomised
- Intervention model
- Factorial
- Masking
- Single blind
- Who is masked
- Participant
- Enrolment
- 59 participants (actual)
Sponsor and investigators
- Lead sponsor
- Recep Tayyip Erdogan University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Yağmur AKBAL DEMİRCİ, Recep Tayyip Erdogan University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07090408
- Sponsor's protocol ID
- RTEU-SBF-YAD-02
- Status last verified
- Jul 2025
- First submitted
- 5 Jul 2025
- Last updated
- 29 Jul 2025
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: I am currently undecided as I am considering this study quantitatively as well as forward-looking.
Study at a glance
From the registry record, last updated by the sponsor on 29 Jul 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of Chatgpt Usage on Case Analysis and Medical Artificial Intelligence Readiness Among Nursing Students: A Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT07090408
- Acronym / sponsor ID
- RTEU-SBF-YAD-02
- Conditions
- Artificial Intelligence
- Keywords
- artificial intelligence, nursing students, nursing care
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 59 participants (actual)
- Lead sponsor
- Recep Tayyip Erdogan UniversityUniversity, hospital or other
- Study start
- 1 Feb 2025 (actual)
- Primary completion
- 25 Feb 2025 (actual)
- Study completion
- 30 Jun 2025 (actual)
- First posted
- 29 Jul 2025 (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.
In this study, the effect of using ChatGPT, one of the artificial intelligence tools, on nursing students' case analysis and readiness for medical artificial intelligence will be evaluated.
Detailed description
In studies on artificial intelligence in the field of nursing; it is observed that nurses reduce their workload by remotely monitoring psychiatric patients with an artificial intelligence-based sensor, there is a significant decrease in emergency room visits with an artificial intelligence-supported camera monitoring system to prevent dementia patients from falling, and the risk of pressure sores in patients in the intervention group is reduced by developing a network measurement system to predict pressure sores. Such widespread use of artificial intelligence in the nursing profession contributes to faster analysis and active management of the care process by nurses in diagnosing possible risk factors and solving any problems encountered. Thus, nurses' workload will decrease and a more efficient nursing care process will emerge. The attitude towards artificial intelligence in nursing students preparing for the profession is actually positive even in the first years of education. These results show that new generation nurses adopt artificial intelligence and its usability in the profession in the future. In fact, more academic and practical studies are needed on artificial intelligence, which has entered all professional lives in a new and rapid way. The increase in such studies, especially among students preparing for the nursing profession, will reflect both the knowledge gap in students and the necessity of proven studies in the field. The attitudes of nursing students towards new technologies and their acceptance of these innovations are especially important because they play a key role in health care. Therefore, it is necessary to learn how nursing students understand and adopt new technologies such as artificial intelligence-based technologies. When looking at the literature, it is possible to come across different studies on artificial intelligence in nursing students. However, in this study, the effect of using ChatGPT, one of the artificial intelligence tools, on case analysis and medical artificial intelligence readiness in nursing students will be evaluated.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Factorial
- Masking
- Single blind (participant)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| Control arm | No intervention | –The control arm - control group (30 students); students were asked to analyze the case with the traditional method. |
| Intervention arm | Experimental | Behavioral: Artificial intelligence supportArtificial intelligence support |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (3 listed)
- Students who agree to participate in the study
- 2nd year students who are actively studying in the Nursing Department of the Faculty of Health Sciences of a university
- Students who use smartphones
Key exclusion criteria (2 listed)
- Not accepting to participate in the research,
- Not using a smartphone
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 supportEach student in the intervention group will be asked to solve a given case example using ChatGPT support. However, students in the control group will be asked to analyze the case using their own academic knowledge without ChatGPT support. | Behavioural | Intervention arm |
Primary outcome
Case analysis delivery time
Time frame: (one lesson duration) approximately 30-40 minutes
The case analysis score was evaluated between 0 and 100 points.
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Jul 2025.
- Individual participant dataSharing planned: Undecided. I am currently undecided as I am considering this study quantitatively as well as forward-looking.
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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. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
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 support in people with Artificial Intelligence, run by Recep Tayyip Erdogan University 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 2 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: finished, as of the sponsor's last update on 29 Jul 2025. 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?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Case analysis delivery time (time frame: (one lesson duration) approximately 30-40 minutes). 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 29 Jul 2025.