Medical EducationAIHT-EDUNCT06776354
AI in Hypertension Treatment Education: Comparing GPT and Traditional Methods
A study testing GPT-based training and traditional training in people with Medical Education and Hypertension, run by zhen wang at 1 site in China.
Trial summary
Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension… Read more about this study
- Who is it for?
- Ages 18 to 30 yearsHealthy volunteers can take part
- Conditions the study is for
- Medical Education, Hypertension, GPT
- What is being tested?
- GPT-based training and traditional training
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 52 participants
- Where
- 1 siteChina
- Study dates
- 20 Oct 2024to 30 Jul 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 30 years
- All sexes
- Healthy volunteers accepted
- Adult
Who may be able to join
- Graduate or regulatory trainee, currently rotating in cardiology and willing to participate in research.
- Age between 18-30 years old, gender not limited.
- No specialized training experience in hypertension diagnosis and treatment, only possessing basic medical theoretical knowledge.
- Able to accept a 4-week teaching intervention (2 hours of study per week).
- Sign the informed consent form and be aware of the research purpose and process.
Who cannot join
- Graduate students or trained interns who have received specialized training in hypertension medication treatment.
- Students unable to complete the full course of study (e.g., rotations shorter than four weeks or potential mid-course withdrawal).
- Unable to consistently participate in educational interventions (e.g., conflicts with study schedule).
- Have severe physical or mental health issues that may affect the learning process.
- Have language comprehension barriers or cognitive impairments, making it difficult to complete learning tasks.
Trial locations and contacts
1 site in 1 country.
China1 site
678 Furong Road, Economic Development Zone, Hefei City, Anhui Province, China
Hefei, Anhui, 230601
About this study
Official title: Application of Artificial Intelligence in Hypertension Pharmacotherapy Education: A Comparative Study of the GPT System and Traditional Teaching Methods
Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management
The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension management plans. It will also evaluate the educational effectiveness and engagement of the GPT-based system. The main questions it aims to answer are:
Read more
Does the GPT-based training improve the ability of students to develop effective hypertension management plans compared to traditional methods? How do students perceive the use of the GPT system in their learning process? Researchers will compare the GPT-based training system to traditional teaching methods to see if the innovative AI approach enhances learning outcomes in medical education.
Participants will:
Engage with either the GPT-based system or traditional teaching materials. Visit the educational facility periodically for assessments and feedback sessions.
Keep a diary of their learning experiences, noting any difficulties or advantages they observe in the training method they are assigned.
- Conditions
- Medical Education, Hypertension, GPT
- Being tested
- GPT-based training, traditional training
- Medical subject headings
- Hypertension
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
GPT-based trainingBehavioural
GPT-based training whether could improve the ability of students to develop effective hypertension management plans
traditional trainingBehavioural
traditional teaching methods
| Study group | Role | What they receive |
|---|---|---|
| GPT-based training | Experimental | Generative Pre-trained Transformer (GPT)-based training system Receives: Behavioral: GPT-based training |
| traditional training | Active comparator | traditional training method Receives: Behavioral: traditional training |
What is being measured
The primary outcome is the main question the study is designed to answer.
structured theoretical exam scores
Structured Theoretical Exam Scores - Immediate and One-Month Follow-Up:
This outcome measures the effectiveness of teaching hypertension management. Students take a structured theoretical exam immediately after the training and again one month later to assess knowledge retention. The exam covers hypertension pathophysiology, risk factors, diagnostics, and treatments. Scores range from 0 to 100, with higher scores indicating better knowledge acquisition and retention.
Measured: From enrollment to the end of treatment at 4 weeks
Clinical Case Test Scores on Hypertension
Clinical Case Test Scores on Hypertension - Immediate and One-Month Follow-Up:This outcome measures how well students apply theoretical knowledge to practical clinical scenarios. Tests are administered immediately after training and one month later, involving clinical simulations where students diagnose hypertension and develop treatment plans. Scores range from 0 to 100, with higher scores indicating better clinical reasoning and application of knowledge.
Measured: From enrollment to the end of treatment at 4 weeks
Secondary outcomes (4)
Mood Elevation Scale
This outcome measures the intensity of emotions felt by students during learning. Participants rate statements on a Likert scale from 1 to 5, where 1 represents "not felt at all" and 5 represents "felt very intensely". Higher scores indicate a stronger emotional response to the learning experience.
Measured: From enrollment to the end of treatment at 4 weeks
Cognitive Load Index (CLI)
This outcome assesses the cognitive load experienced by students during learning. Participants rate statements on a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate a higher perceived cognitive load during learning.
Measured: From enrollment to the end of treatment at 4 weeks
Teaching Satisfaction Assessment
This outcome evaluates student satisfaction with the teaching methods. Participants rate their experience on a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate greater satisfaction with the teaching method.
Measured: From enrollment to the end of treatment at 4 weeks
Technology Acceptance Model
This outcome assesses students' acceptance of the GPT system. The questionnaire uses a Likert scale from 1 to 5, where 1 represents "strongly disagree" and 5 represents "strongly agree". Higher scores indicate greater acceptance, usability, and satisfaction with the GPT system.
Measured: From enrollment to the end of treatment at 4 weeks
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted15 Jan 2025
- Study start20 Oct 2024
- Primary completion12 Jul 2025
- Study completion30 Jul 2025
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for Medical EducationStudies 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
- Masking
- None (open label)
- Enrolment
- 52 participants (actual)
Sponsor and investigators
- Lead sponsor
- zhen wang
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, zhen wang, The Second Hospital of Anhui Medical University
- Investigators
- xianrui luo, Study chair, The Second Hospital of Anhui Medical University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT06776354
- Sponsor's protocol ID
- 2023jyxm1150
- Other IDs
- 2023jyxm1150
- Acronym
- AIHT-EDU
- Status last verified
- Mar 2025
- First submitted
- 27 Dec 2024
- Last updated
- 9 Dec 2025
- Results posted
- No
- Data monitoring committee
- Yes
- 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 9 Dec 2025. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Application of Artificial Intelligence in Hypertension Pharmacotherapy Education: A Comparative Study of the GPT System and Traditional Teaching Methods
- ClinicalTrials.gov ID
- NCT06776354
- Acronym / sponsor ID
- AIHT-EDU / 2023jyxm1150
- Conditions
- Medical Education, Hypertension, GPT
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 52 participants (actual)
- Lead sponsor
- zhen wangUniversity, hospital or other
- Study start
- 20 Oct 2024 (actual)
- Primary completion
- 12 Jul 2025 (actual)
- Study completion
- 30 Jul 2025 (actual)
- First posted
- 15 Jan 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.
Educational Trial: GPT-Based Training vs. Traditional Teaching for Hypertension Management
The goal of this educational trial is to determine whether a Generative Pre-trained Transformer (GPT)-based training system is more effective than traditional teaching methods in helping medical students master hypertension management plans. It will also evaluate the educational effectiveness and engagement of the GPT-based system. The main questions it aims to answer are:
Does the GPT-based training improve the ability of students to develop effective hypertension management plans compared to traditional methods? How do students perceive the use of the GPT system in their learning process? Researchers will compare the GPT-based training system to traditional teaching methods to see if the innovative AI approach enhances learning outcomes in medical education.
Participants will:
Engage with either the GPT-based system or traditional teaching materials. Visit the educational facility periodically for assessments and feedback sessions.
Keep a diary of their learning experiences, noting any difficulties or advantages they observe in the training method they are assigned.
Study design
- Primary purpose
- Other
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| GPT-based training | Experimental | Behavioral: GPT-based trainingGenerative Pre-trained Transformer (GPT)-based training system |
| traditional training | Active comparator | Behavioral: traditional trainingtraditional training method |
Who may qualify
- Ages
- 18 to 30 years
- Sex
- All
- Healthy volunteers
- Accepted
- Age groups
- Adult
Key inclusion criteria (5 listed)
- Graduate or regulatory trainee, currently rotating in cardiology and willing to participate in research.
- Age between 18-30 years old, gender not limited.
- No specialized training experience in hypertension diagnosis and treatment, only possessing basic medical theoretical knowledge.
- Able to accept a 4-week teaching intervention (2 hours of study per week).
- Sign the informed consent form and be aware of the research purpose and process.
Key exclusion criteria (5 listed)
- Graduate students or trained interns who have received specialized training in hypertension medication treatment.
- Students unable to complete the full course of study (e.g., rotations shorter than four weeks or potential mid-course withdrawal).
- Unable to consistently participate in educational interventions (e.g., conflicts with study schedule).
- Have severe physical or mental health issues that may affect the learning process.
- Have language comprehension barriers or cognitive impairments, making it difficult to complete learning tasks.
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 |
|---|---|---|
| GPT-based trainingGPT-based training whether could improve the ability of students to develop effective hypertension management plans | Behavioural | GPT-based training |
| traditional trainingtraditional teaching methods | Behavioural | traditional training |
Primary outcome
structured theoretical exam scores
Time frame: From enrollment to the end of treatment at 4 weeks
Structured Theoretical Exam Scores - Immediate and One-Month Follow-Up: This outcome measures the effectiveness of teaching hypertension management. Students take a structured theoretical exam immediately after the training and again one month later to assess knowledge retention. The exam covers hypertension pathophysiology, risk factors, diagnostics, and treatments. Scores range from 0 to 100, with higher scores indicating better knowledge acquisition and retention.
Clinical Case Test Scores on Hypertension
Time frame: From enrollment to the end of treatment at 4 weeks
Clinical Case Test Scores on Hypertension - Immediate and One-Month Follow-Up:This outcome measures how well students apply theoretical knowledge to practical clinical scenarios. Tests are administered immediately after training and one month later, involving clinical simulations where students diagnose hypertension and develop treatment plans. Scores range from 0 to 100, with higher scores indicating better clinical reasoning and application of knowledge.
4 secondary outcomes
Mood Elevation Scale
Time frame: From enrollment to the end of treatment at 4 weeks
Cognitive Load Index (CLI)
Time frame: From enrollment to the end of treatment at 4 weeks
Teaching Satisfaction Assessment
Time frame: From enrollment to the end of treatment at 4 weeks
Technology Acceptance Model
Time frame: From enrollment to the end of treatment at 4 weeks
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 9 Dec 2025.
- Individual participant dataSharing planned: No
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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.
xianrui luo study chair
The Second Hospital of Anhui Medical 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 GPT-based training and traditional training in people with Medical Education and Hypertension, run by zhen wang at 1 site in China.
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 5 inclusion and 5 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 9 Dec 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 China. 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?
structured theoretical exam scores (time frame: From enrollment to the end of treatment at 4 weeks). 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 9 Dec 2025.