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

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...

Full description

Saved in:
Bibliographic Details
Published in:Diagnostics (Basel) 2022-03, Vol.12 (4), p.852
Main Authors: Temprana-Salvador, Jordi, López-García, Pablo, Castellví Vives, Josep, de Haro, Lluís, Ballesta, Eudald, Rojas Abusleme, Matias, Arrufat, Miquel, Marques, Ferran, Casas, Josep R, Gallego, Carlos, Pons, Laura, Mate, José Luis, Fernández, Pedro Luis, López-Bonet, Eugeni, Bosch, Ramon, Martínez, Salomé, Ramón Y Cajal, Santiago, Matias-Guiu, Xavier
Format: Article
Language:English
Subjects:
Artificial intelligence
computational pathology
deep learning
digital pathology
Digitization
implementation
Laboratories
Pathology
Patient safety
workflow
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2075-4418
2075-4418
DOI:10.3390/diagnostics12040852