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Pathology Education Powered by Virtual and Digital Transformation: Now and the Future

Lewis Hassell, Syeda Absar, Chhavi Chauhan, Suzanne M. Dintzis, Carol Farver, Samreen Fathima, Eric F. Glassy, Jeffrey A. Goldstein, Rama R. Gullapalli, Jonhan Ho, Lisa K. Koch, James E. Madory, Kamran Mirza, Phuong Nhat Nguyen, Liron Pantanowitz, Anil V. Parwani, Rebecca Rojansky, Robert P. Seifert, Rajendra Singh, Ehab A. ElGabry, Marilyn M. Bui

2022Archives of Pathology & Laboratory Medicine68 citationsDOIOpen Access PDF

Abstract

CONTEXT.—: Myriad forces are changing teaching and learning strategies throughout all stages and types of pathology education. Pathology educators and learners face the challenge of adapting to and adopting new methods and tools. The digital pathology transformation and the associated educational ecosystem are major factors in this setting of change. OBJECTIVE.—: To identify and collect resources, tools, and examples of educational innovations involving digital pathology that are valuable to pathology learners and teachers at each phase of professional development. DATA SOURCES.—: Sources were a literature review and the personal experience of authors and educators. CONCLUSIONS.—: High-quality digital pathology tools and resources have permeated all the major niches within anatomic pathology and are increasingly well applied to clinical pathology for learners at all levels. Coupled with other virtual tools, the training landscape in pathology is highly enriched and much more accessible than in the past. Digital pathology is well suited to the demands of peer-to-peer education, such as in the introduction of new testing, grading, or other standardized practices. We found that digital pathology was well adapted to apply our current understanding of optimal teaching strategies and was effective at the undergraduate, graduate, postgraduate, and peer-to-peer levels. We curated and tabulated many existing resources within some segments of pathology. We identified several best practices for each training or educational stage based on current materials and proposed high-priority areas for potential future development.

Topics & Concepts

Digital pathologyGrading (engineering)Context (archaeology)Computer scienceTelepathologyPathologyMedical educationMedicineHealth careBiologyEcologyPaleontologyEconomicsTelemedicineEconomic growthAI in cancer detectionAnatomy and Medical TechnologyInnovations in Medical Education
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