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Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost
Whole slide imaging is revolutionizing the field of pathology and is currently being used for clinical, educational, and research initiatives by an increasing number of institutions. Pathology departments have distinct needs for digital pathology systems, yet the cost of digital workflows is cited a...
Autores principales: | , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550754/ https://www.ncbi.nlm.nih.gov/pubmed/37811334 http://dx.doi.org/10.1016/j.jpi.2023.100318 |
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author | Ardon, Orly Klein, Eric Manzo, Allyne Corsale, Lorraine England, Christine Mazzella, Allix Geneslaw, Luke Philip, John Ntiamoah, Peter Wright, Jeninne Sirintrapun, Sahussapont Joseph Lin, Oscar Elenitoba-Johnson, Kojo Reuter, Victor E. Hameed, Meera R. Hanna, Matthew G. |
author_facet | Ardon, Orly Klein, Eric Manzo, Allyne Corsale, Lorraine England, Christine Mazzella, Allix Geneslaw, Luke Philip, John Ntiamoah, Peter Wright, Jeninne Sirintrapun, Sahussapont Joseph Lin, Oscar Elenitoba-Johnson, Kojo Reuter, Victor E. Hameed, Meera R. Hanna, Matthew G. |
author_sort | Ardon, Orly |
collection | PubMed |
description | Whole slide imaging is revolutionizing the field of pathology and is currently being used for clinical, educational, and research initiatives by an increasing number of institutions. Pathology departments have distinct needs for digital pathology systems, yet the cost of digital workflows is cited as a major barrier for widespread adoption by many organizations. Memorial Sloan Kettering Cancer Center (MSK) is an early adopter of whole slide imaging with incremental investments in resources that started more than 15 years ago. This experience and the large-scale scan operations led to the identification of required framework components of digital pathology operations. The cost of these components for the 2021 digital pathology operations at MSK were studied and calculated to enable an understanding of the operation and benchmark the accompanying costs. This paper describes the unique infrastructure cost and the costs associated with the digital pathology clinical operation use cases in a large, tertiary cancer center. These calculations can serve as a blueprint for other institutions to provide the necessary concepts and offer insights towards the financial requirements for digital pathology adoption by other institutions. |
format | Online Article Text |
id | pubmed-10550754 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105507542023-10-06 Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost Ardon, Orly Klein, Eric Manzo, Allyne Corsale, Lorraine England, Christine Mazzella, Allix Geneslaw, Luke Philip, John Ntiamoah, Peter Wright, Jeninne Sirintrapun, Sahussapont Joseph Lin, Oscar Elenitoba-Johnson, Kojo Reuter, Victor E. Hameed, Meera R. Hanna, Matthew G. J Pathol Inform Original Research Article Whole slide imaging is revolutionizing the field of pathology and is currently being used for clinical, educational, and research initiatives by an increasing number of institutions. Pathology departments have distinct needs for digital pathology systems, yet the cost of digital workflows is cited as a major barrier for widespread adoption by many organizations. Memorial Sloan Kettering Cancer Center (MSK) is an early adopter of whole slide imaging with incremental investments in resources that started more than 15 years ago. This experience and the large-scale scan operations led to the identification of required framework components of digital pathology operations. The cost of these components for the 2021 digital pathology operations at MSK were studied and calculated to enable an understanding of the operation and benchmark the accompanying costs. This paper describes the unique infrastructure cost and the costs associated with the digital pathology clinical operation use cases in a large, tertiary cancer center. These calculations can serve as a blueprint for other institutions to provide the necessary concepts and offer insights towards the financial requirements for digital pathology adoption by other institutions. Elsevier 2023-05-16 /pmc/articles/PMC10550754/ /pubmed/37811334 http://dx.doi.org/10.1016/j.jpi.2023.100318 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Ardon, Orly Klein, Eric Manzo, Allyne Corsale, Lorraine England, Christine Mazzella, Allix Geneslaw, Luke Philip, John Ntiamoah, Peter Wright, Jeninne Sirintrapun, Sahussapont Joseph Lin, Oscar Elenitoba-Johnson, Kojo Reuter, Victor E. Hameed, Meera R. Hanna, Matthew G. Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title | Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title_full | Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title_fullStr | Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title_full_unstemmed | Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title_short | Digital pathology operations at a tertiary cancer center: Infrastructure requirements and operational cost |
title_sort | digital pathology operations at a tertiary cancer center: infrastructure requirements and operational cost |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10550754/ https://www.ncbi.nlm.nih.gov/pubmed/37811334 http://dx.doi.org/10.1016/j.jpi.2023.100318 |
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