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Related Experiment Video

Updated: May 2, 2026

Digital Analysis of Immunostaining of ZW10 Interacting Protein in Human Lung Tissues
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An adapted & improved validation protocol for digital pathology implementation.

Ying-Han R Hsu1, Iman Ahmed2, Juliana Phlamon1

  • 1Laboratory Medicine Program, University Health Network, Toronto, ON Canada; Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON Canada.

Seminars in Diagnostic Pathology
|April 24, 2025
PubMed
Summary
This summary is machine-generated.

University Health Network developed a custom validation protocol for digital pathology primary clinical assessment. This ensures accurate diagnoses and patient safety by integrating pathologist expertise and managing workflow changes.

Keywords:
Digital pathologistDigital pathology validationDigital validationValidation protocol

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Area of Science:

  • Pathology
  • Medical Informatics
  • Diagnostic Medicine

Background:

  • Digital Pathology (DP) offers efficient tissue sample analysis for disease diagnosis.
  • Ensuring accuracy and reliability in DP diagnoses is paramount for patient care.
  • Existing guidelines from RCPath UK and CAP provide a framework for DP implementation.

Purpose of the Study:

  • To outline the development of a customized validation protocol for implementing a digital workflow in primary clinical assessment at University Health Network (UHN).
  • To tailor a DP validation approach accommodating the specific needs of 14 UHN subspecialty groups.
  • To ensure pathologist comfort, patient safety, and data integrity during the transition to digital workflows.

Main Methods:

  • Drawing on RCPath UK and CAP guidelines, UHN developed a pathologist-led self-validation protocol.
  • The protocol integrates diverse subspecialty cases and employs a phased rollout strategy with continuous monitoring.
  • Change management principles, inspired by Leeds University, were utilized to facilitate adoption and address subspecialty challenges.

Main Results:

  • A comprehensive validation protocol was established, tailored to UHN's subspecialty groups.
  • The protocol emphasizes pathologist involvement and addresses specific challenges in digital pathology adoption.
  • Continuous monitoring and change management strategies were integral to the process.

Conclusions:

  • The developed validation protocol supports the integration of Digital Pathology into primary clinical assessment at UHN.
  • The approach prioritizes pathologist-led validation, subspecialty needs, and patient safety.
  • This framework facilitates the reliable and safe implementation of digital pathology workflows in a complex healthcare setting.