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Digital pathology structure and deployment in Veneto: a proof-of-concept study
Albino Eccher1, Stefano Marletta2,3, Marta Sbaraglia4
1Department of Medical and Sciences for Children and Adults, University of Modena and Reggio Emilia, University Hospital of Modena, Modena, Italy.
Summary
Digital pathology (DP) adoption is transforming labs, but challenges remain for large networks. This project details the digital transformation of 12 hospitals in Italy, aiming to enhance patient care through digital sample management and AI support.
Area of Science:
- Medical Informatics
- Digital Health
- Pathology
Background:
- Digital pathology (DP) and whole slide imaging are increasingly adopted globally.
- Implementing a full DP workflow presents significant challenges, particularly for extensive healthcare networks.
- The Veneto region in Italy initiated a comprehensive digital transformation across 12 hospitals.
Purpose of the Study:
- To outline the planning and operational phases for a large-scale digital pathology transition.
- To describe the implementation of a digital workflow for approximately 3 million slides annually.
- To achieve a standardized, safe, and digitally managed pathology process for improved patient care.
Main Methods:
- Describing the strategic planning and execution stages of the digital transformation.
- Implementing whole slide imaging and digital sample management across a network of 12 hospitals.
- Integrating systems for efficient file sharing and exploring artificial intelligence support.
Main Results:
- The article details the planning and operational phases of the digital pathology implementation.
- Preliminary results from the initial stages of the project are presented.
- The transition involves managing nearly 3 million slides per year within the integrated network.
Conclusions:
- The digital transformation in the Veneto region aims to enhance patient care via digital pathology.
- Key goals include standardized digital sample management, improved collaboration, and AI integration.
- Successful implementation requires careful planning and execution for large healthcare networks.

