Towards a national strategy for digital pathology in Switzerland.

Details

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State: Public
Version: Final published version
License: CC BY 4.0
Serval ID
serval:BIB_329EB5DFD086
Type
Article: article from journal or magazin.
Publication sub-type
Case report (case report): feedback on an observation with a short commentary.
Collection
Publications
Institution
Title
Towards a national strategy for digital pathology in Switzerland.
Journal
Virchows Archiv
Author(s)
Janowczyk A., Baumhoer D., Dirnhofer S., Grobholz R., Kipar A., de Leval L., Merkler D., Michielin O., Moch H., Perren A., Rottenberg S., Rubbia-Brandt L., Rubin M.A., Sempoux C., Tolnay M., Zlobec I., Koelzer V.H.
Working group(s)
Swiss Digital Pathology Consortium (SDiPath)
ISSN
1432-2307 (Electronic)
ISSN-L
0945-6317
Publication state
In Press
Peer-reviewed
Oui
Language
english
Notes
Publication types: Journal Article
Publication Status: aheadofprint
Abstract
Precision medicine is entering a new era of digital diagnostics; the availability of integrated digital pathology (DP) and structured clinical datasets has the potential to become a key catalyst for biomedical research, education and business development. In Europe, national programs for sharing of this data will be crucial for the development, testing, and validation of machine learning-enabled tools supporting clinical decision-making. Here, the Swiss Digital Pathology Consortium (SDiPath) discusses the creation of a Swiss Digital Pathology Infrastructure (SDPI), which aims to develop a unified national DP network bringing together the Swiss Personalized Health Network (SPHN) with Swiss university hospitals and subsequent inclusion of cantonal and private institutions. This effort builds on existing developments for the national implementation of structured pathology reporting. Opening this national infrastructure and data to international researchers in a sequential rollout phase can enable the large-scale integration of health data and pooling of resources for research purposes and clinical trials. Therefore, the concept of a SDPI directly synergizes with the priorities of the European Commission communication on the digital transformation of healthcare on an international level, and with the aims of the Swiss State Secretariat for Economic Affairs (SECO) for advancing research and innovation in the digitalization domain. SDPI directly addresses the needs of existing national and international research programs in neoplastic and non-neoplastic diseases by providing unprecedented access to well-curated clinicopathological datasets for the development and implementation of novel integrative methods for analysis of clinical outcomes and treatment response. In conclusion, a SDPI would facilitate and strengthen inter-institutional collaboration in technology, clinical development, business and research at a national and international scale, promoting improved patient care via precision medicine.
Keywords
Artificial intelligence, Biomedical research, Image analysis, Pathology, Precision medicine
Pubmed
Web of science
Open Access
Yes
Create date
30/05/2022 8:05
Last modification date
18/06/2022 6:34
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