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Remote reporting from home for primary diagnosis in surgical pathology: A tertiary oncology center experience during the COVID-19 pandemic

Authors :
Vidya Rao
Rajiv Kumar
Sathyanarayanan Rajaganesan
Swapnil Rane
Gauri Deshpande
Subhash Yadav
Asawari Patil
Trupti Pai
Santosh Menon
Aekta Shah
Katha Rabade
Mukta Ramadwar
Poonam Panjwani
Neha Mittal
Ayushi Sahay
Bharat Rekhi
Munita Bal
Uma Sakhadeo
Sumeet Gujral
Sangeeta Desai
Source :
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 3-3 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

Background: The COVID-19 pandemic accelerated the widespread adoption of digital pathology (DP) for primary diagnosis in surgical pathology. This paradigm shift is likely to influence how we function routinely in the postpandemic era. We present learnings from early adoption of DP for a live digital sign-out from home in a risk-mitigated environment. Materials and Methods: We aimed to validate DP for remote reporting from home in a real-time environment and evaluate the parameters influencing the efficiency of a digital workflow. Eighteen pathologists prospectively validated DP for remote use on 567 biopsy cases including 616 individual parts from 7 subspecialties over a duration from March 21, 2020, to June 30, 2020. The slides were digitized using Roche Ventana DP200 whole-slide scanner and reported from respective homes in a risk-mitigated environment. Results: Following re-review of glass slides, there was no major discordance and 1.2% (n = 7/567) minor discordance. The deferral rate was 4.5%. All pathologists reported from their respective homes from laptops with an average network speed of 20 megabits per second. Conclusion: We successfully validated and adopted a digital workflow for remote reporting with available resources and were able to provide our patients, an undisrupted access to subspecialty expertise during these unprecedented times.

Details

Language :
English
ISSN :
21533539
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Journal of Pathology Informatics
Publication Type :
Academic Journal
Accession number :
edsdoj.2095d9ea34ef44c4b8b2cfc9c4d62d8c
Document Type :
article
Full Text :
https://doi.org/10.4103/jpi.jpi_72_20