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Toward a regional digital pathology network in Tuscany: current status and implementation roadmap
Giuseppe Nicolò Fanelli1,2,3, Filippo Ugolini4, Alessandro Ginori5
1Division of Pathology, Department of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, Pisa, Italy.
Tuscany is implementing digital pathology (DP) across its integrated healthcare system, equipping all centers with whole slide scanners and establishing a common lab information system. This digital transformation enhances diagnostics, collaboration, and research, paving the way for AI integration.
Area of Science:
- Digital Pathology
- Health Informatics
- Medical Technology
Background:
- Digital pathology (DP) offers enhanced accuracy, efficiency, and collaboration in diagnostic workflows.
- Tuscany's integrated healthcare system provides a framework for widespread DP implementation.
- All public pathology centers in Tuscany are equipped with whole slide scanners.
Purpose of the Study:
- To outline Tuscany's strategic, stepwise implementation of digital pathology workflows.
- To detail the development of a centralized digital infrastructure and AI integration roadmap.
- To highlight the benefits and future potential of DP within a regional healthcare network.
Main Methods:
- Region-wide survey of pathology centers.
- Adoption of a common regional laboratory information system (LIS).
- Development of a centralized cloud repository and telepathology modules.
- Implementation of training programs and AI-assisted tools.
Main Results:
- All Tuscan pathology centers possess whole slide scanners.
- A common LIS and centralized cloud repository are established.
- Telepathology modules, training, and AI tools are being introduced.
- Anticipated benefits include faster diagnostics, improved collaboration, and research opportunities.
Conclusions:
- Tuscany's phased, scalable approach to digital pathology is creating a unified network.
- The region's DP initiative supports AI integration, multi-omics, and computational pathology.
- This regional model can serve as a blueprint for other healthcare systems transitioning to digital pathology.
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