DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals—Planification, Implementation, and Preliminary Results

Other authors

Institut Català de la Salut

[Temprana-Salvador J, Castellví Vives J, Ramón Y Cajal S] Servei de Patologia, Vall d’Hebron Hospital Universitari, Barcelona, Spain. CIBERONC, Barcelona, Spain. [López-García P, de Haro L, Ballesta E] Functional Competence Center, Information Systems, Catalan Health Institute (Institut Català de la Salut), Barcelona, Spain. [Rojas Abusleme M] Center for Telecommunications and Information Technology (Centre de Telecomunicacions i Tecnologies de la Informació, CTTI), Catalan Health Institute (Institut Català de la Salut), Barcelona, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2022-09-09T14:36:22Z

2022-09-09T14:36:22Z

2022-03-30



Abstract

Artificial intelligence; Digital pathology; Implementation


Inteligencia artificial; Patología digital; Implementación


Intel·ligència artificial; Patologia digital; Implementació


Complete digital pathology transformation for primary histopathological diagnosis is a challenging yet rewarding endeavor. Its advantages are clear with more efficient workflows, but there are many technical and functional difficulties to be faced. The Catalan Health Institute (ICS) has started its DigiPatICS project, aiming to deploy digital pathology in an integrative, holistic, and comprehensive way within a network of 8 hospitals, over 168 pathologists, and over 1 million slides each year. We describe the bidding process and the careful planning that was required, followed by swift implementation in stages. The purpose of the DigiPatICS project is to increase patient safety and quality of care, improving diagnosis and the efficiency of processes in the pathological anatomy departments of the ICS through process improvement, digital pathology, and artificial intelligence tools.


This project was funded by European Regional Development Funds, Programa operatiu FEDER de Catalunya 2014–2020 and SA18-014623 DIGIPATICS. UPC activity in this project was partially supported by PID2020-116907RB-I00 and funded by MCIN/AEI/10.13039/501100011033.

Document Type

Article


Published version

Language

English

Publisher

MDPI

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https://doi.org/10.3390/diagnostics12040852

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Rights

Attribution 4.0 International

http://creativecommons.org/licenses/by/4.0/

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