Selecting high-throughput scanners for clinical use: A multicenter institution experience

Abstract

Objective: To evaluate and implement whole-slide imaging (WSI) scanners for a fully digital pathology workflow at the University Health Network (UHN) in Canada, a multicenter institution. The goal was to optimize clinical diagnosis, education, telepathology, consultation, and artificial intelligence (AI) applications. Given the competitive digital pathology market, a thorough assessment was conducted to select the most suitable scanners for UHN's primary diagnosis at main and satellite sites, remote teleconsultation, intraoperative consultation, and multidisciplinary education.

Methods: A request for proposal was issued to evaluate WSI scanners based on technical specifications, compatibility, previous performance, implementation strategy, operational excellence, and postinstallation support. A multidisciplinary committee scored vendors, and the highest-scoring scanners were further assessed for image accuracy, loading and offloading efficiency, scanning speed, throughput, and artifact handling.

Results: The UHN selected a fleet of WSI scanners with varying functionality from multiple vendors. Successful implementation included seamless integration with the image management system, laboratory information system, hospital information system, and digital storage. This transition enhanced workflow efficiency, streamlined telepathology services, and supported AI-driven applications.

Conclusions: Despite high costs, WSI scanners substantially improved slide accessibility, reduced turnaround times, and enhanced workflow flexibility. Their integration supports AI advancements, facilitates second opinions, improves access to educational materials, and facilitates proficiency testing.

Keywords: University Health Network (UHN); digital pathology (DP); quality assurance (QA); whole slide imaging (WSI).