Litcius/Paper detail

Towards a national strategy for digital pathology in Switzerland

Andrew Janowczyk, Daniel Baumhoer, Stefan Dirnhofer, Rainer Grobholz, Anja Kipar, Laurence de Leval, Doron Merkler, Olivier Michielin, Holger Moch, Aurel Perren, Sven Rottenberg, Laura Rubbia‐Brandt, Mark A. Rubin, Christine Sempoux, Markus Tolnay, Inti Zlobec, Viktor H. Koelzer

2022Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin12 citationsDOIOpen Access PDF

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.

Topics & Concepts

PoolingDigital pathologyHealth careDigital healthCommissionComputer scienceData scienceKnowledge managementEngineering managementMedicineBusinessPolitical sciencePathologyEngineeringArtificial intelligenceFinanceLawAI in cancer detectionCancer Genomics and DiagnosticsRadiomics and Machine Learning in Medical Imaging