Evidence map›Paper›PMID 27217973›Full record

ArticleJournal of pathology informatics2016

Digital pathology and anatomic pathology laboratory information system integration to support digital pathology sign-out.

Huazhang Guo, Joe Birsa, Navid Farahani, Douglas J Hartman, Anthony Piccoli, Matthew O'Leary, Jeffrey McHugh, Mark Nyman, Curtis Stratman, Vanja Kvarnstrom and 2 more

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Implementing the DICOM Standard for Digital Pathology.Journal of pathology informatics · 2018
    Article
  11. Review
  12. Article
  13. Article
  14. Routine Digital Pathology Workflow: The Catania Experience.Journal of pathology informatics · 2017
    Article
  15. Article
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

12 authors.

Huazhang GuoDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Joe BirsaOmnyx, LLC, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Navid FarahaniDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Douglas J HartmanDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Anthony PiccoliInformation Services Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Matthew O'LearyInformation Services Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Jeffrey McHughInformation Services Division, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Mark NymanOmnyx, LLC, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Curtis StratmanOmnyx, LLC, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Vanja KvarnstromOmnyx, LLC, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Samuel YousemDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Liron PantanowitzDepartment of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe adoption of digital pathology offers benefits over labor-intensive, time-consuming, and error-prone manual processes. However, because most workflow and laboratory transactions are centered around the anatomical pathology laboratory information system (APLIS), adoption of digital pathology ideally requires integration with the APLIS. A digital pathology system (DPS) integrated with the APLIS was recently implemented at our institution for diagnostic use. We demonstrate how such integration supports digital workflow to sign-out anatomical pathology cases.

methodsWorkflow begins when pathology cases get accessioned into the APLIS (CoPathPlus). Glass slides from these cases are then digitized (Omnyx VL120 scanner) and automatically uploaded into the DPS (Omnyx(®) Integrated Digital Pathology (IDP) software v.1.3). The APLIS transmits case data to the DPS via a publishing web service. The DPS associates scanned images with the correct case using barcode labels on slides and information received from the APLIS. When pathologists remotely open a case in the DPS, additional information (e.g. gross pathology details, prior cases) gets retrieved from the APLIS through a query web service.

resultsFollowing validation of this integration, pathologists at our institution have signed out more than 1000 surgical pathology cases in a production environment. Integration between the APLIS and DPS enabled pathologists to review digital slides while simultaneously having access to pertinent case metadata. The introduction of a digital workflow eliminated costly manual tasks involving matching of glass slides and avoided delays waiting for glass slides to be delivered.

conclusionIntegrating the DPS and APLIS were instrumental for successfully implementing a digital solution at our institution for pathology sign-out. The integration streamlined our digital sign-out workflow, diminished the potential for human error related to matching slides, and improved the sign-out experience for pathologists.

Indexed as

Digital pathologyintegrationinterfacelaboratory information systemwhole slide imaging

Identifiers

PMID27217973
PMCPMC4872480

What OpenQuestion holds

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LicenceCC BY-NC-SA
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Registered trials

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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.