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Author: Christos Evangelou.
Speaking at the Digital Pathology & AI Congress: USA, Zolton Laszik of the University of California, San Francisco discussed lessons learned from adopting digital and computational pathology tools for patient care, focusing on challenges post-adoption.
Despite recent technological advances in digital tools, the adoption of digital pathology has been slow, and pathologists still rely on brightfield microscopy to determine the diagnosis, make treatment decisions, and assess prognosis. Implementing computational pathology requires collaboration among different disciplines, including pathology domain experts, imaging experts, image analysis experts, and data scientists.
Additional requirements for the successful implementation of digital pathology for patient care include having a vision, institutional support, appropriate infrastructure (e.g., scanners with dedicated space, monitors, high-speed Internet, and storage), image management software, and learning information services.
Scanning standardization, costs, digital platform validation, scanner interoperability, reimbursement, legislative uncertainties, and training and proficiency testing for faculty, trainees, and staff are important considerations and potential barriers to the clinical implementation of digital pathology for patient care.
Despite these challenges, the three hospitals at UCSF fully implemented digital pathology tools without significant issues in March 2020, when HIPAA-compliant solutions became available. Dr. Laszik ended his talk positively, saying, “The future is bright, and momentum is building.”
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Christos Evangelou is a Medical Writer at Pathology News. This Report from the 1oth Digital Pathology & AI Congress: USA is reproduced with permission and thanks.
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