Evidence map›Paper›PMID 35070482›Full record

ArticleJournal of pathology informatics2021

Whole Slide Imaging for Teleconsultation: The Mount Sinai Hospital, Labcorp Dianon, and Philips Collaborative Experience.

Mehrvash Haghighi, Jay Tolley, Agostino N Schito, Ricky Kwan, Chris Garcia, Shakira Prince, Noam Harpaz, Swan N Thung, Catherine K Craven, Carlos Cordon-Cardo and 1 more

Abstract read
In one paragraph

Article in Journal of pathology informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Editorial: Artificial Intelligence (AI), Digital Image Analysis, and the Future of Cancer Diagnosis and Prognosis.Medical science monitor : international medical journal of experimental and clinical research · 2024
    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

11 authors.

Mehrvash HaghighiDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Jay TolleyLaboratory Corporation of America Holdings, Burlington, NC, USA.
Agostino N SchitoPhilips, Amsterdam, Netherlands.
Ricky KwanDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Chris GarciaLaboratory Corporation of America Holdings, Burlington, NC, USA.
Shakira PrinceDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Noam HarpazDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Swan N ThungDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
Catherine K CravenDepartment of Population Health Sciences, Joe R. & Teresa Lozano Long School of Medicine, University of Texas Health Science Center, San Antonio, TX, USA.
Carlos Cordon-CardoDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.
William H WestraDepartment of Pathology, Molecular and Cell-Based Medicine, The Icahn School of Medicine at Mount Sinai Hospital, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the emergence of whole slide imaging (WSI) and widespread access to high-speed Internet, pathology labs are now poised to implement digital pathology as a way to access diagnostic pathology expertise. This paper describes a collaborative partnership between a high-volume reference diagnostic laboratory (Labcorp) and an academic pathology department (Mount Sinai Hospital) in the transition from a traditional glass slide service to a digital platform. Using the standard framework of implementation science, we evaluate the consistency and quality of the Philips IntelliSite Pathology Solution (PIPS) in delivering save and efficient diagnostic services. MATERIALS AND

methodsDigital and glass slide diagnoses of all consult cases were documented over a 12-month period. The Proctor guideline was used to quantitatively and qualitatively measure (e.g., focus group studies, field notes, and administrative data) implementation success. Lean techniques (e.g., value stream mapping) were applied to measure changes in efficiency with the transition to a digital platform.

resultsOur study supports the acceptability, high adoption, appropriateness, feasibility, fidelity, and sustainability of the digital pathology platform. The digital portal also improved the quality of patient care by increasing efficiency, effectiveness, safety, and timeliness. The intraobserver concordance rate was 100%. The digital transition resulted in a reduction in turnaround time from 86 h to an average 35 min and a 20-fold increase in efficiency of the consultation process.

conclusionAs the pathology community contemplates digital pathology as a transformational tool in providing broad access to diagnostic expertise across time and space, our study provides an implementation strategy along with evidence that the digital platform is safe, effective, and efficient.

Indexed as

Digital consultPhilipstelepathologywhole slide imaging

Identifiers

PMID35070482
PMCPMC8721867

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.