Articles producció científica> Ciències Mèdiques Bàsiques

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

  • Identification data

    Identifier: imarina:9297567
    Authors:
    Temprana-Salvador, JordiLopez-Garcia, PabloCastellvi Vives, Josepde Haro, LluisBallesta, EudaldRojas Abusleme, MatiasArrufat, MiquelMarques, FerranCasas, Josep R.Gallego, CarlosPons, LauraLuis Mate, JoseLuis Fernandez, PedroLopez-Bonet, EugeniBosch, RamonMartinez, SalomeRamon y Cajal, SantiagoMatias-Guiu, Xavier
    Abstract:
    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.
  • Others:

    Author, as appears in the article.: Temprana-Salvador, Jordi; Lopez-Garcia, Pablo; Castellvi Vives, Josep; de Haro, Lluis; Ballesta, Eudald; Rojas Abusleme, Matias; Arrufat, Miquel; Marques, Ferran; Casas, Josep R.; Gallego, Carlos; Pons, Laura; Luis Mate, Jose; Luis Fernandez, Pedro; Lopez-Bonet, Eugeni; Bosch, Ramon; Martinez, Salome; Ramon y Cajal, Santiago; Matias-Guiu, Xavier;
    Department: Ciències Mèdiques Bàsiques
    URV's Author/s: Martínez González, María Salomé
    Keywords: Workflow Validation Telepathology Surgical pathology Primary diagnosis Network Lis Light-microscopy Implementation Digital pathology Deep learning Concordance Computational pathology Artificial intelligence
    Abstract: 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.
    Thematic Areas: Medicine, general & internal Internal medicine Clinical biochemistry
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: mariasalome.martinez@urv.cat
    Author identifier: 0000-0001-6185-2889
    Record's date: 2024-09-07
    Papper version: info:eu-repo/semantics/publishedVersion
    Link to the original source: https://www.mdpi.com/2075-4418/12/4/852
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Papper original source: Diagnostics. 12 (4):
    APA: Temprana-Salvador, Jordi; Lopez-Garcia, Pablo; Castellvi Vives, Josep; de Haro, Lluis; Ballesta, Eudald; Rojas Abusleme, Matias; Arrufat, Miquel; Marq (2022). DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals-Planification, Implementation, and Preliminary Results. Diagnostics, 12(4), -. DOI: 10.3390/diagnostics12040852
    Article's DOI: 10.3390/diagnostics12040852
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2022
    Publication Type: Journal Publications
  • Keywords:

    Clinical Biochemistry,Medicine, General & Internal
    Workflow
    Validation
    Telepathology
    Surgical pathology
    Primary diagnosis
    Network
    Lis
    Light-microscopy
    Implementation
    Digital pathology
    Deep learning
    Concordance
    Computational pathology
    Artificial intelligence
    Medicine, general & internal
    Internal medicine
    Clinical biochemistry
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