Nursing StudentsNCT07087288
Artificial Intelligence Supported Case Analysis and Nursing Students
A study testing AI-supported case and Case Analysis in people with Nursing Students and Artificial Intelligence (AI), run by TC Erciyes University at 1 site in Turkey (Türkiye).
Trial summary
In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Read more about this study
- Who is it for?
- Ages 18 to 35 yearsHealthy volunteers can take part
- Conditions the study is for
- Nursing Students, Artificial Intelligence (AI)
- What is being tested?
- AI-supported case and Case Analysis
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 93 participants
- Where
- 1 siteTurkey (Türkiye)
- Study dates
- 1 Apr 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 to 35 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Active fourth year nursing students in the spring term of the 2024-2025 academic year in which the study was conducted,
- Having taken the nursing process theoretical course before,
- Having a mobile phone with an internet connection,
- Students who have previously prepared a care plan specific to their inpatients in at least one internal medicine clinic
Who cannot join
- Students who do not take the Integrated Health Practices III course,
- Have not planned care for inpatients in internal medicine clinics in previous clinical practice,
- Students who did not agree to participate in the study
Trial locations and contacts
1 site in 1 country.
About this study
Official title: The Effect of Artificial Intelligence Supported Case Analysis Method on Nursing Students' Knowledge, Case Management Performance and Nursing Diagnosis Determination Skills
In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.
Read the detailed description
Background: In recent years, the integration of artificial intelligence technology into nursing education has been increasing.
Objective: In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.
Design: This study was conducted in a single-blind randomised controlled trial design.
Method: The study was planned to include 107 students actively enrolled in the 4th grade Integrated Health Practices III course in the spring semester of the 2024-2025 academic year in the nursing department.Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.Information form, Mentimeter application to determine the ability to determine nursing diagnoses and case management performance evaluation, and Quizizz application for knowledge test were used for data collection.In addition, a semi-structured interview form was used.
- Conditions
- Nursing Students, Artificial Intelligence (AI)
- Being tested
- AI-supported case, Case Analysis
- Keywords
- nursing student, airtificial intelligence, nursing education
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
AI-supported caseOther
In the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence.
Case AnalysisOther
The case analysis will be made through the presentation prepared by the students in the group.
| Study group | Role | What they receive |
|---|---|---|
| Traditional teaching group | No intervention | The students in this group will be analysed by the responsible lecturer of the course. |
| Case Analysis Group | Active comparator | Students in this group will present the case of their choice from the clinic. Receives: Other: Case Analysis |
| Artificial Intelligence Group | Experimental | Students in this group will take artificial intelligence supported case analysis course. Receives: Other: AI-supported case |
What is being measured
The primary outcome is the main question the study is designed to answer.
Case Management Performance
In this study, nursing students' interest, focus, satisfaction and motivation levels in the evaluation of traditional teaching method, case analysis method and artificial intelligence supported case analysis method courses were evaluated with Visual Analogue Scale (VAS) over 10 points using Mentimeter application.
Measured: Immediately after the case analysis session
Nursing Diagnosis Determination Skills
With the Mentimeter application, students were asked to identify 5 prioritised nursing diagnoses related to the case. There is no scoring here, but the application creates a word cloud where the most common answer is shown in a larger font.
Measured: Immediately after the case analysis session
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted25 Jul 2025
- Study start1 Apr 2025
- Primary completion30 Jun 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 Nursing StudentsStudies 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
- Parallel groups
- Model description
- In this study, nursing students were divided into three groups as traditional teaching group, case analysis group and artificial intelligence group.
- Masking
- None (open label)
- Enrolment
- 93 participants (actual)
Sponsor and investigators
- Lead sponsor
- TC Erciyes University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Ayser DÖNER, TC Erciyes University
- Investigators
- AYSER DÖNER, Principal investigator, TC Erciyes University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT07087288
- Sponsor's protocol ID
- Erciyessbfhem
- Status last verified
- Jul 2026
- First submitted
- 9 Jul 2025
- Last updated
- 27 Jul 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No: Only a short protocol can be shared with other researchers.
Study at a glance
From the registry record, last updated by the sponsor on 27 Jul 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Effect of Artificial Intelligence Supported Case Analysis Method on Nursing Students' Knowledge, Case Management Performance and Nursing Diagnosis Determination Skills
- ClinicalTrials.gov ID
- NCT07087288
- Acronym / sponsor ID
- Erciyessbfhem
- Conditions
- Nursing Students, Artificial Intelligence (AI)
- Keywords
- nursing student, airtificial intelligence, nursing education
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 93 participants (actual)
- Lead sponsor
- TC Erciyes UniversityUniversity, hospital or other
- Study start
- 1 Apr 2025 (actual)
- Primary completion
- 30 Jun 2025 (actual)
- Study completion
- 30 Jun 2025 (actual)
- First posted
- 25 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, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.This study was conducted in a single-blind randomised controlled trial design. Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.
Detailed description
Background: In recent years, the integration of artificial intelligence technology into nursing education has been increasing.
Objective: In this study, it was aimed to evaluate the effect of artificial intelligence-supported case analysis method on nursing students' knowledge, case management performances and nursing diagnosis determination skills.
Design: This study was conducted in a single-blind randomised controlled trial design.
Method: The study was planned to include 107 students actively enrolled in the 4th grade Integrated Health Practices III course in the spring semester of the 2024-2025 academic year in the nursing department.Students were randomly assigned to the traditional teaching group, the case analysis group and the artificial intelligence group.Information form, Mentimeter application to determine the ability to determine nursing diagnoses and case management performance evaluation, and Quizizz application for knowledge test were used for data collection.In addition, a semi-structured interview form was used.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 3
- Model description
- In this study, nursing students were divided into three groups as traditional teaching group, case analysis group and artificial intelligence group.
| Arm | Type | Receives |
|---|---|---|
| Traditional teaching group | No intervention | –The students in this group will be analysed by the responsible lecturer of the course. |
| Case Analysis Group | Active comparator | Other: Case AnalysisStudents in this group will present the case of their choice from the clinic. |
| Artificial Intelligence Group | Experimental | Other: AI-supported caseStudents in this group will take artificial intelligence supported case analysis course. |
Who may qualify
- Ages
- 18 to 35 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (4 listed)
- Active fourth year nursing students in the spring term of the 2024-2025 academic year in which the study was conducted,
- Having taken the nursing process theoretical course before,
- Having a mobile phone with an internet connection,
- Students who have previously prepared a care plan specific to their inpatients in at least one internal medicine clinic
Key exclusion criteria (3 listed)
- Students who do not take the Integrated Health Practices III course,
- Have not planned care for inpatients in internal medicine clinics in previous clinical practice,
- Students who did not agree to participate in 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 |
|---|---|---|
| AI-supported caseIn the artificial intelligence supported case analysis course, students will listen to the audio video prepared by artificial intelligence. | Other | Artificial Intelligence Group |
| Case AnalysisThe case analysis will be made through the presentation prepared by the students in the group. | Other | Case Analysis Group |
Primary outcome
Case Management Performance
Time frame: Immediately after the case analysis session
In this study, nursing students' interest, focus, satisfaction and motivation levels in the evaluation of traditional teaching method, case analysis method and artificial intelligence supported case analysis method courses were evaluated with Visual Analogue Scale (VAS) over 10 points using Mentimeter application.
Nursing Diagnosis Determination Skills
Time frame: Immediately after the case analysis session
With the Mentimeter application, students were asked to identify 5 prioritised nursing diagnoses related to the case. There is no scoring here, but the application creates a word cloud where the most common answer is shown in a larger font.
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 27 Jul 2026.
- Individual participant dataSharing planned: No. Only a short protocol can be shared with other researchers.
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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.
AYSER DÖNER principal investigator
TC Erciyes University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing AI-supported case and Case Analysis in people with Nursing Students and Artificial Intelligence (AI), run by TC Erciyes 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 4 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: finished, as of the sponsor's last update on 27 Jul 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?
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 Management Performance (time frame: Immediately after the case analysis session). The study lists 2 primary outcomes in all. 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 27 Jul 2026.