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Dissecting the business case for adoption and implementation of digital pathology: A white paper from the digital pathology association

Authors :
Giovanni Lujan
Jennifer C Quigley
Douglas Hartman
Anil Parwani
Brian Roehmholdt
Bryan Van Meter
Orly Ardon
Matthew G Hanna
Dan Kelly
Chelsea Sowards
Michael Montalto
Marilyn Bui
Mark D Zarella
Victoria LaRosa
Gerard Slootweg
Juan Antonio Retamero
Mark C Lloyd
James Madory
Doug Bowman
Source :
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 17-17 (2021)
Publication Year :
2021
Publisher :
Elsevier, 2021.

Abstract

We believe the switch to a digital pathology (DP) workflow is imminent and it is essential to understand the economic implications of conversion. Many aspects of the adoption of DP will be disruptive and have a direct financial impact, both in short term costs, such as investment in equipment and personnel, and long term revenue potential, such as improved productivity and novel tests. The focus of this whitepaper is to educate pathologists, laboratorians and other stakeholders about the business and monetary considerations of converting to a digital pathology workflow. The components of a DP business plan will be thoroughly summarized, and guidance will be provided on how to build a case for adoption and implementation as well as a roadmap for transitioning from an analog to a digital pathology workflow in various laboratory settings. It is important to clarify that this publication is not intended to list prices although some financials will be mentioned as examples. The authors encourage readers who are evaluating conversion to a DP workflow to use this paper as a foundational guide for conducting a thorough and complete assessment while incorporating in current market pricing. Contributors to this paper analyzed peer-reviewed literature and data collected from various institutions, some of which are mentioned. Digital pathology will change the way we practice through facilitating patient access to expert pathology services and enabling image analysis tools and assays to aid in diagnosis, prognosis, risk stratification and therapeutic selection. Together, they will result in the delivery of valuable information from which to make better decisions and improve the health of patients.

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.ffc3af71044740ea8e8294bdbbd6f410
Document Type :
article
Full Text :
https://doi.org/10.4103/jpi.jpi_67_20