Background <p>Nephrology, a complex and specialized medical field, has seen significant advancements, yet traditional teaching methods remain outdated and less effective. This study explores the integration of Problem-Based Learning (PBL) guided by ChatGPT in the Department of Nephrology at Guizhou Provincial People’s Hospital to enhance medical education.</p> Objective <p>To assess the impact of ChatGPT-guided Problem-Based Learning (PBL) on medical students’ education and satisfaction in the Nephrology Department.</p> Methods <p>Fifty-four clinical resident doctors were divided into an experimental group, using ChatGPT-guided PBL, and a control group, using traditional methods. Both groups were assessed through theoretical and clinical practice exams, teaching satisfaction surveys, and self-assessments of teaching effectiveness.</p> Results <p>Results indicated the experimental group achieved significantly higher scores in both theoretical and clinical assessments. Additionally, they reported higher satisfaction and effectiveness in learning. Despite spending more time in pre-class preparation, the overall learning time did not increase due to reduced post-class review time facilitated by ChatGPT.</p> Conclusions <p>This study demonstrates the potential of ChatGPT-integrated PBL to enhance learning outcomes, satisfaction, and efficiency in medical education. Future research should include larger samples and longer follow-up to validate these findings.</p>

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The application of problem-based learning (PBL) guided by ChatGPT in clinical education in the Department of Nephrology

  • Xiaoya Tong,
  • Ying Hu,
  • Yanjun Long,
  • Qian Zhang,
  • Yao Yang,
  • Jing Yuan,
  • Yan Zha

摘要

Background

Nephrology, a complex and specialized medical field, has seen significant advancements, yet traditional teaching methods remain outdated and less effective. This study explores the integration of Problem-Based Learning (PBL) guided by ChatGPT in the Department of Nephrology at Guizhou Provincial People’s Hospital to enhance medical education.

Objective

To assess the impact of ChatGPT-guided Problem-Based Learning (PBL) on medical students’ education and satisfaction in the Nephrology Department.

Methods

Fifty-four clinical resident doctors were divided into an experimental group, using ChatGPT-guided PBL, and a control group, using traditional methods. Both groups were assessed through theoretical and clinical practice exams, teaching satisfaction surveys, and self-assessments of teaching effectiveness.

Results

Results indicated the experimental group achieved significantly higher scores in both theoretical and clinical assessments. Additionally, they reported higher satisfaction and effectiveness in learning. Despite spending more time in pre-class preparation, the overall learning time did not increase due to reduced post-class review time facilitated by ChatGPT.

Conclusions

This study demonstrates the potential of ChatGPT-integrated PBL to enhance learning outcomes, satisfaction, and efficiency in medical education. Future research should include larger samples and longer follow-up to validate these findings.