Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists

These guidelines provide a clear and practical framework for the effective implementation of digital pathology (DP) in routine anatomical pathology practice. Digital pathology, defined as the digitization of microscope slide into high-resolution whole slide images, is transforming the diagnostic workflow by enabling remote access, improved image analysis, integration with artificial intelligence (AI), and enhanced data management. While digital systems are becoming increasingly integrated into pathology laboratories, the physical archiving of microscope slides remains a legal and procedural requirement in many countries, particularly for histological and cytological materials. As DP continues to evolve globally, the establishment of clear standards, technical requirements, validation procedures, and interoperability guidelines is essential to maintain diagnostic accuracy, patient safety, and system reliability. These recommendations address key technical, organizational, and legal aspects of DP implementation, with an emphasis on ensuring consistent quality and minimizing variability in diagnostic outcomes. The outlined approach supports the safe and effective adoption of DP as an integral element of modern digital healthcare.

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Publication Details

Journal
Diagnostic Pathology
Published
2026-01-30
DOI
https://doi.org/10.1186/s13000-026-01762-2
Primary Topic
AI in cancer detection
Type
article
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article

Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists

Łukasz Chmura, Andrzej Marszałek, Łukasz Szylberg, Witold Rezner et al.
Diagnostic Pathology
AI in cancer detection
article

Guidelines for the adoption of digital pathology in clinical pathology units recommended by the polish society of pathologists

Łukasz Chmura, Andrzej Marszałek, Łukasz Szylberg, Witold Rezner, Justyna Durślewicz, Artur Bartczak
article en

Abstract

These guidelines provide a clear and practical framework for the effective implementation of digital pathology (DP) in routine anatomical pathology practice. Digital pathology, defined as the digitization of microscope slide into high-resolution whole slide images, is transforming the diagnostic workflow by enabling remote access, improved image analysis, integration with artificial intelligence (AI), and enhanced data management. While digital systems are becoming increasingly integrated into pathology laboratories, the physical archiving of microscope slides remains a legal and procedural requirement in many countries, particularly for histological and cytological materials. As DP continues to evolve globally, the establishment of clear standards, technical requirements, validation procedures, and interoperability guidelines is essential to maintain diagnostic accuracy, patient safety, and system reliability. These recommendations address key technical, organizational, and legal aspects of DP implementation, with an emphasis on ensuring consistent quality and minimizing variability in diagnostic outcomes. The outlined approach supports the safe and effective adoption of DP as an integral element of modern digital healthcare.

Diagnostic PathologyVol. 21(1)
Poznan University of Medical Sciences (PL), Bydgoszcz University of Science and Technology (PL), Nicolaus Copernicus University (PL), University of Bydgoszcz (PL), Greater Poland Cancer Center (PL), Institute of Molecular Pathology and Pathomorphology (RU), Centralne Laboratorium Kryminalistyczne Policji (PL), Krakow Cardiovascular Research Institute (PL), 2P-Info (Poland) (PL), AGH University of Krakow (PL)
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Openalex Percentile: Top 73%
AI in cancer detection
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