Evidence map›Paper›PMID 31301690›Full record

ReviewHistopathology2019

Being fully digital: perspective of a Dutch academic pathology laboratory.

Nikolas Stathonikos, Tri Q Nguyen, Clothaire P Spoto, Marina A M Verdaasdonk, Paul J van Diest

Open access · hybridAbstract readReview
In one paragraph

Review in Histopathology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed
8.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 101 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Nikolas StathonikosDepartment of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0002-5457-7580
Tri Q NguyenDepartment of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Clothaire P SpotoDepartment of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Marina A M VerdaasdonkDepartment of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.
Paul J van DiestDepartment of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands.
University Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The introduction of fast and robust whole slide scanners has facilitated the implementation of 'digital pathology' with various uses, the final challenge being full digital diagnostics. In this article, we describe the implementation process of a fully digital workflow for primary diagnostics in 2015 at the University Medical Centre in Utrecht, The Netherlands, as one of the first laboratories going fully digital with a future-proof complete digital archive. Furthermore, we evaluated the experience of the first 2 years of working with the system by pathologists and residents. The system was successfully implemented in 6 months, including a European tender procedure. Most pathologists and residents had high confidence in working fully digitally, the expertise areas lagging behind being paediatrics, haematopathology, and neuropathology. Reported limitations concerned recognition of microorganisms and mitoses. Neither the age of respondents nor the number of years of pathology experience was correlated with the confidence level regarding digital diagnostics. The ergonomics of digital diagnostics were better than those of traditional microscopy. In this article, we describe our experiences in implementing our fully digital primary diagnostics workflow, describing in depth the implementation steps undertaken, the interlocking components that are required for a fully functional digital pathology system (laboratory management, hospital information systems, data storage, and whole slide scanners), and the changes required in workflow and slide production.

Indexed as

Clinical Laboratory TechniquesHumansImage Interpretation, Computer-AssistedImage Processing, Computer-AssistedNetherlandsPathology, ClinicalTelepathologyWorkflowdiagnosticsdigital pathologydigital primary diagnosticsimplementationlaboratory management

Identifiers

PMID31301690
PMCPMC6856836
OpenAlexW2962081597

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.