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Updated: Feb 23, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
Published on: July 11, 2025
Integrated Pathology Informatics Enables High-Quality Personalized and Precision Medicine: Digital Pathology and
Zoya Volynskaya, Hung Chow, Andrew Evans
1From the Department of Pathology, Laboratory Medicine Program, University Health Network, University of Toronto, Toronto, Ontario, Canada (Drs Volynskaya, Evans, and Asa, and Mss Chow and Lagmay-Traya); and the Department of Pathology, Laboratory Medicine Program, Lakeridge Health, Oshawa, Ontario, Canada (Mr Wolff).
Context:
- The critical role of pathology in diagnosis, prognosis, and prediction demands high-quality subspecialty diagnostics that integrates information from multiple laboratories.
Objective:
- To identify key requirements and to establish a systematic approach to providing high-quality pathology in a health care system that is responsible for services across a large geographic area.
Design:
- This report focuses on the development of a multisite pathology informatics platform to support high-quality surgical pathology and hematopathology using a sophisticated laboratory information system and whole slide imaging for histology and immunohistochemistry, integrated with ancillary tools, including electron microscopy, flow cytometry, cytogenetics, and molecular diagnostics.
Results:
- These tools enable patients in numerous geographic locations access to a model of subspecialty pathology that allows reporting of every specimen by the right pathologist at the right time. The use of whole slide imaging for multidisciplinary case conferences enables better communication among members of patient care teams. The system encourages data collection using a discrete data synoptic reporting module, has implemented documentation of quality assurance activities, and allows workload measurement, providing examples of additional benefits that can be gained by this electronic approach to pathology.
Conclusion:
- This approach builds the foundation for accurate big data collection and high-quality personalized and precision medicine.
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