{"id":19491,"date":"2023-02-22T09:30:12","date_gmt":"2023-02-22T07:30:12","guid":{"rendered":"https:\/\/ticsalutsocial.atoom.space\/noticia\/el-sistema-pat-simdcat-dona-servei-a-vuit-hospitals-del-ics\/"},"modified":"2023-03-15T13:49:12","modified_gmt":"2023-03-15T11:49:12","slug":"el-sistema-pat-simdcat-dona-servei-a-vuit-hospitals-del-ics","status":"publish","type":"noticia","link":"https:\/\/ticsalutsocial.atoom.space\/en\/noticia\/el-sistema-pat-simdcat-dona-servei-a-vuit-hospitals-del-ics\/","title":{"rendered":"The Pat-SIMDCAT system serves 8 Catalan Health Institute (ICS) hospitals"},"content":{"rendered":"

The Digital Medical Imaging System of Catalonia (SIMDCAT) is the unified model for digital medical imaging that the Catalan Health System is promoting to share information in a secure and decentralised manner through cloud computing.<\/p>\n

In this context, Pat-SIMDCAT<\/a>, the project on digital medical imaging focused on pathological anatomy, has integrated and stores images from the eight hospitals in the DigiP\u00c0TICS project: Vall d’Hebr\u00f3n University Hospital (Barcelona), Doctor Josep Trueta University Hospital (Girona), Germans Tries i Pujol University Hospital (Badalona), Joan XXIII University Hospital (Tarragona), Verge de la Cinta Hospital (Tortosa), Bellvitge University Hospital (L’Hospitalet de Llobregat ), Viladecans Hospital (Viladecans) and Arnau de Vilanova Hospital (Lleida).<\/p>\n

\"\"

Workstation in an ICS pathological anatomy unit<\/p><\/div>\n

This milestone has involved the digitisation and uploading of 640,000 slides in DICOM format to Pat-SIMDCAT since the start of the project. Each slide has an average size of 1 GB. The current usage volume on Pat-SIMDCAT is 654 TB and it is growing daily at a rate of approximately 4TB\/day.<\/p>\n

All the activity generated at the centres is sent and consolidated daily on the platform. The deployed infrastructure (hardware and software) allows a slide stored in Pat-SIMDCAT to be downloaded and subsequently imported into the DigiPATICS<\/a> system in 5 to 15 minutes.<\/p>\n

The digital and centralised storage of slides allows pathologists to access historical cases easily, share cases on high-performance monitors and expand telepathology services, promoting higher-quality services for patients and increasing territorial equity. As is already the case for images of ionising radiation scans, artificial intelligence will be the future of digital pathology.<\/p>\n

————————-<\/p>\n

References<\/strong><\/p>\n

Temprana-Salvador, J.; L\u00f3pez-Garc\u00eda, P.; Castellv\u00ed Vives, J.; de Haro, L.; Ballesta, E.; Rojas Abusleme, M.; Arrufat, M.; Marques, F.; Casas, J.R.; Gallego, C.; Pons, L.; Mate, J.L.; Fern\u00e1ndez, P.L.; L\u00f3pez-Bonet, E.; Bosch, R.; Mart\u00ednez, S.; Ram\u00f3n y Cajal, S.; Matias-Guiu, X. DigiPatICS: Digital Pathology Transformation of the Catalan Health Institute Network of 8 Hospitals\u2014Planification, Implementation, and Preliminary Results.\u00a0Diagnostics<\/em>\u00a02022<\/b>,\u00a012<\/em>, 852. https:\/\/doi.org\/10.3390\/diagnostics12040852<\/a><\/p>\n

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