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Purpose of Review <p>The purpose of this review is to characterize contemporary models and metrics for medical education in Urology.</p> Recent Findings <p>Innovative models involve using augmented reality and 3D-printing to enhance stimulation-based training; these are cost-effective and improve surgical skill metrics. Virtual didactics are preferred since they offer flexible self-paced learning. Structured frameworks (e.g., PREDICT, GAPS) increase graduated autonomy without negative impact on patient care. For medical students, Urology interest groups and mandatory skills sessions significantly boost interest and confidence in basic procedures, with targeted outreach helping to address disparities.</p> Summary <p>Effective urology education requires standardization, flexibility, and autonomy for residents, and early, equitable exposure for medical students. Integrating evidence-based novel models, supported by technology and Artificial Intelligence for content and feedback, is critical for preparing trainees in the evolving field of Urology. Future research should focus on comparative studies to validate these novel educational models against traditional approaches.</p>

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Models and Metrics for Medical Education in Urology: Medical Student Education, Resident Education, and Future Directions

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月10日

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  • Lakshay Khosla,
  • Kayla M. Keenan,
  • Jay D. Raman

摘要

Purpose of Review

The purpose of this review is to characterize contemporary models and metrics for medical education in Urology.

Recent Findings

Innovative models involve using augmented reality and 3D-printing to enhance stimulation-based training; these are cost-effective and improve surgical skill metrics. Virtual didactics are preferred since they offer flexible self-paced learning. Structured frameworks (e.g., PREDICT, GAPS) increase graduated autonomy without negative impact on patient care. For medical students, Urology interest groups and mandatory skills sessions significantly boost interest and confidence in basic procedures, with targeted outreach helping to address disparities.

Summary

Effective urology education requires standardization, flexibility, and autonomy for residents, and early, equitable exposure for medical students. Integrating evidence-based novel models, supported by technology and Artificial Intelligence for content and feedback, is critical for preparing trainees in the evolving field of Urology. Future research should focus on comparative studies to validate these novel educational models against traditional approaches.