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Vi Le is a dedicated pathologist at Khanh Hoa Oncology Hospital committed to advancing diagnostics through AI and digital innovation. Currently completing postgraduate studies at Hue University of Medicine & Pharmacy in Vietnam, he balances rigorous research with a drive for diagnostic excellence. His goal is clear: to bridge diagnostic gaps by integrating modern digital tools into his resource-limited workplace, ensuring that his patients receive the highest standard of care.
Background: Severe shortages in the pathology workforce and inconsistent quality of care remain critical challenges, particularly in developing nations. Digital pathology offers a viable solution by facilitating standardized training to elevate patient care. To help bridge these gaps, the Open Pathology Education Network (OPEN) provides an accessible, low-barrier digital training platform. This report evaluates the outcomes and experiences of early-stage learners utilizing the OPEN curriculum.
Design: The OPEN conducted a New Pathology Education Paradigm (NewPEP) trial recruiting early pathology learners (<2 years experience) for a 6–8 month self-paced curriculum. Following a pre-test/post-test design, participants completed six core modules (AP Bootcamp, Gyn Path, Breast Path, Mismatch Repair Testing, Skin Path, and Gyn Cytology). Modules combined video lectures, static images, and interactive whole slide images (WSI). The program also featured bi-weekly online mentoring, module-specific exams, and a feedback survey.
Results: Of the 34 enrolled participants, 13 (38%) completed the study within eight months. Competency gains were significant: mean scores surged from 42% (pre-test) to 94% (post-test), with 12 of 13 learners scoring above 90%. Subjectively, participants reported enhanced diagnostic confidence, improved WSI evaluation and case presentation skills, and valuable access to expert networks.
Conclusion: The NewPEP trial highlights the scalability and efficacy of a standardized, hybrid digital education model for training new pathology learners. Beyond enhancing diagnostic confidence and building global networks, its cost-effective design allows for widespread implementation to address workforce shortages on a much larger scale.
Learning Objectives: