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Completed

NCT Number: NCT06776354

AI in Hypertension Treatment Education: Comparing GPT and Traditional 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:

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.

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Key information

Conditions

Medical Education Cardiovascular Diseases GPT Hypertension Vascular Diseases

Age range

18 year–30 year

Sex eligibility

All sexes

Study type

Interventional

Phase

Not applicable

Primary location

678 Furong Road, Economic Development Zone, Hefei City, Anhui Province, China

Hefei, Anhui, 230601, China

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

  • 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.

Exclusion criteria

  • 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.

Treatment and study plan

GPT-based training

Behavioral

GPT-based training whether could improve the ability of students to develop effective hypertension management plans

TRADITIONAL TRAINING

Behavioral

traditional teaching methods

Primary outcomes

  1. 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.

  2. 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.

Secondary outcomes

  1. Mood Elevation Scale

    Time frame: From enrollment to the end of treatment at 4 weeks

    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.

  2. Cognitive Load Index (CLI)

    Time frame: From enrollment to the end of treatment at 4 weeks

    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.

  3. Teaching Satisfaction Assessment

    Time frame: From enrollment to the end of treatment at 4 weeks

    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.

  4. Technology Acceptance Model

    Time frame: From enrollment to the end of treatment at 4 weeks

    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.

Sponsors and collaborators

Lead sponsor

Zhen Wang

Other

Registry information

Official study title

Application of Artificial Intelligence in Hypertension Pharmacotherapy Education: A Comparative Study of the GPT System and Traditional Teaching Methods

Acronym: AIHT-EDU

Important dates

Study start
2024
Primary completion
2025
Study completion
2025
First posted
Jan 15, 2025
Registry last updated
Dec 9, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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