Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology.

Détails

Ressource 1Télécharger: 38112792.pdf (1458.73 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_C4505B8A8341
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Institution
Titre
Swiss digital pathology recommendations: results from a Delphi process conducted by the Swiss Digital Pathology Consortium of the Swiss Society of Pathology.
Périodique
Virchows Archiv
Auteur⸱e⸱s
Janowczyk A., Zlobec I., Walker C., Berezowska S., Huschauer V., Tinguely M., Kupferschmid J., Mallet T., Merkler D., Kreutzfeldt M., Gasic R., Rau T.T., Mazzucchelli L., Eyberg I., Cathomas G., Mertz K.D., Koelzer V.H., Soldini D., Jochum W., Rössle M., Henkel M., Grobholz R.
Collaborateur⸱rice⸱s
Swiss Digital Pathology Consortium
ISSN
1432-2307 (Electronic)
ISSN-L
0945-6317
Statut éditorial
Publié
Date de publication
07/2024
Peer-reviewed
Oui
Volume
485
Numéro
1
Pages
13-30
Langue
anglais
Notes
Publication types: Journal Article
Publication Status: ppublish
Résumé
Integration of digital pathology (DP) into clinical diagnostic workflows is increasingly receiving attention as new hardware and software become available. To facilitate the adoption of DP, the Swiss Digital Pathology Consortium (SDiPath) organized a Delphi process to produce a series of recommendations for DP integration within Swiss clinical environments. This process saw the creation of 4 working groups, focusing on the various components of a DP system (1) scanners, quality assurance and validation of scans, (2) integration of Whole Slide Image (WSI)-scanners and DP systems into the Pathology Laboratory Information System, (3) digital workflow-compliance with general quality guidelines, and (4) image analysis (IA)/artificial intelligence (AI), with topic experts for each recruited for discussion and statement generation. The work product of the Delphi process is 83 consensus statements presented here, forming the basis for "SDiPath Recommendations for Digital Pathology". They represent an up-to-date resource for national and international hospitals, researchers, device manufacturers, algorithm developers, and all supporting fields, with the intent of providing expectations and best practices to help ensure safe and efficient DP usage.
Mots-clé
Delphi Technique, Humans, Switzerland, Artificial Intelligence, Pathology, Clinical/methods, Pathology, Clinical/standards, Consensus, Workflow, Image Interpretation, Computer-Assisted/methods, Societies, Medical, DP usage, Delphi process, Digital pathology, Integration, Swiss Digital Pathology Consortium
Pubmed
Web of science
Open Access
Oui
Création de la notice
20/12/2023 13:04
Dernière modification de la notice
24/07/2024 6:16
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