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Going fully digital: Perspective of a Dutch academic pathology lab

Open access
Stathonikos, Nikolas, Veta, Mitko, Huisman, André, van Diest, Paul J.·2013·Journal of Pathology Informatics

Abstract

During the last years, whole slide imaging has become more affordable and widely accepted in pathology labs. Digital slides are increasingly being used for digital archiving of routinely produced clinical slides, remote consultation and tumor boards, and quantitative image analysis for research purposes and in education. However, the implementation of a fully digital Pathology Department requires an in depth look into the suitability of digital slides for routine clinical use (the image quality of the produced digital slides and the factors that affect it) and the required infrastructure to support such use (the storage requirements and integration with lab management and hospital information systems). Optimization of digital pathology workflow requires communication between several systems, which can be facilitated by the use of open standards for digital slide storage and scanner management. Consideration of these aspects along with appropriate validation of the use of digital slides for routine pathology can pave the way for pathology departments to go "fully digital." In this paper, we summarize our experiences so far in the process of implementing a fully digital workflow at our Pathology Department and the steps that are needed to complete this process.

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Metadata

Authors
Stathonikos, N., Veta, M., Huisman, A., & van Diest, P. J.
Venue
Journal of Pathology Informatics
Publisher
Elsevier BV
Published
2013-01
Volume
4
Issue
1
Pages
15
ISSN
2153-3539 (ISSN-L)
OpenAlex
W1995531130
Cited by
166
References
0
FWCI
14.36
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Going fully digital: Perspective of a Dutch academic pathology lab. https://app.cochat.ai/papers/10.4103/2153-3539.114206
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Stathonikos, N., Veta, M., Huisman, A., & van Diest, P. J. (2013). Going fully digital: Perspective of a Dutch academic pathology lab. Journal of Pathology Informatics. https://doi.org/10.4103/2153-3539.114206

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.