Articles producció científica> Ciències Mèdiques Bàsiques

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

  • Datos identificativos

    Identificador: imarina:9297567
    Autores:
    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
    Resumen:
    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.
  • Otros:

    Autor según el artículo: 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;
    Departamento: Ciències Mèdiques Bàsiques
    Autor/es de la URV: Martínez González, María Salomé
    Palabras clave: Workflow Validation Telepathology Surgical pathology Primary diagnosis Network Lis Light-microscopy Implementation Digital pathology Deep learning Concordance Computational pathology Artificial intelligence
    Resumen: 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.
    Áreas temáticas: Medicine, general & internal Internal medicine Clinical biochemistry
    Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
    Direcció de correo del autor: mariasalome.martinez@urv.cat
    Identificador del autor: 0000-0001-6185-2889
    Fecha de alta del registro: 2024-09-07
    Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
    Enlace a la fuente original: https://www.mdpi.com/2075-4418/12/4/852
    URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
    Referencia al articulo segun fuente origial: Diagnostics. 12 (4):
    Referencia de l'ítem segons les normes 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
    DOI del artículo: 10.3390/diagnostics12040852
    Entidad: Universitat Rovira i Virgili
    Año de publicación de la revista: 2022
    Tipo de publicación: Journal Publications
  • Palabras clave:

    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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