Literature DB >> 31173528

Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings.

Matthew G Hanna1, Victor E Reuter1, Jennifer Samboy1, Christine England1, Lorraine Corsale1, Samson W Fine1, Narasimhan P Agaram1, Evangelos Stamelos1, Yukako Yagi1, Meera Hameed1, David S Klimstra1, S Joseph Sirintrapun1.   

Abstract

CONTEXT.—: Digital pathology (DP) implementations vary in scale, based on aims of intended operation. Few laboratories have completed a full-scale DP implementation, which may be due to high overhead costs that disrupt the traditional pathology workflow. Neither standardized criteria nor benchmark data have yet been published showing practical return on investment after implementing a DP platform. OBJECTIVE.—: To provide benchmark data and practical metrics to support operational efficiency and cost savings in a large academic center. DESIGN.—: Metrics reviewed include archived pathology asset retrieval; ancillary test request for recurrent/metastatic disease; cost analysis and turnaround time (TAT); and DP experience survey. RESULTS.—: Glass slide requests from the department slide archive and an off-site surgery center showed a 93% and 97% decrease, respectively. Ancillary immunohistochemical orders, compared in 2014 (52%)-before whole slide images (WSIs) were available in the laboratory information system-and 2017 (21%) showed $114 000/y in anticipated savings. Comprehensive comparative cost analysis showed a 5-year $1.3 million savings. Surgical resection cases with prior WSIs showed a 1-day decrease in TAT. A DP experience survey showed 80% of respondents agreed WSIs improved their clinical sign-out experience. CONCLUSIONS.—: Implementing a DP operation showed a noteworthy increase in efficiency and operational utility. Digital pathology deployments and operations may be gauged by the following metrics: number of glass slide requests as WSIs become available, decrease in confirmatory testing for patients with metastatic/recurrent disease, long-term decrease in off-site pathology asset costs, and faster TAT. Other departments may use our benchmark data and metrics to enhance patient care and demonstrate return on investment to justify adoption of DP.

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Year:  2019        PMID: 31173528      PMCID: PMC7448534          DOI: 10.5858/arpa.2018-0514-OA

Source DB:  PubMed          Journal:  Arch Pathol Lab Med        ISSN: 0003-9985            Impact factor:   5.534


  20 in total

Review 1.  Whole-slide imaging: routine pathologic diagnosis.

Authors:  Toby C Cornish; Ryan E Swapp; Keith J Kaplan
Journal:  Adv Anat Pathol       Date:  2012-05       Impact factor: 3.875

2.  Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre.

Authors:  Chee Leong Cheng; Rafay Azhar; Shi Hui Adeline Sng; Yong Quan Chua; Jacqueline Siok Gek Hwang; Jennifer Poi Fun Chin; Waih Khuen Seah; Janel Chui Ling Loke; Roy Hang Leng Ang; Puay Hoon Tan
Journal:  J Clin Pathol       Date:  2016-02-12       Impact factor: 3.411

3.  Integrated Pathology Informatics Enables High-Quality Personalized and Precision Medicine: Digital Pathology and Beyond.

Authors:  Zoya Volynskaya; Hung Chow; Andrew Evans; Alan Wolff; Cecilia Lagmay-Traya; Sylvia L Asa
Journal:  Arch Pathol Lab Med       Date:  2017-08-29       Impact factor: 5.534

4.  The cost-effectiveness of immunohistochemistry.

Authors:  S S Raab
Journal:  Arch Pathol Lab Med       Date:  2000-08       Impact factor: 5.534

Review 5.  Future-proofing pathology: the case for clinical adoption of digital pathology.

Authors:  Bethany Jill Williams; David Bottoms; Darren Treanor
Journal:  J Clin Pathol       Date:  2017-08-05       Impact factor: 3.411

6.  Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013.

Authors:  Sten Thorstenson; Jesper Molin; Claes Lundström
Journal:  J Pathol Inform       Date:  2014-03-28

7.  Can digital pathology result in cost savings? A financial projection for digital pathology implementation at a large integrated health care organization.

Authors:  Jonhan Ho; Stefan M Ahlers; Curtis Stratman; Orly Aridor; Liron Pantanowitz; Jeffrey L Fine; John A Kuzmishin; Michael C Montalto; Anil V Parwani
Journal:  J Pathol Inform       Date:  2014-08-28

8.  Distance reporting in digital pathology: A study on 950 cases.

Authors:  Aleksandar Vodovnik
Journal:  J Pathol Inform       Date:  2015-04-30

9.  Routine Digital Pathology Workflow: The Catania Experience.

Authors:  Filippo Fraggetta; Salvatore Garozzo; Gian Franco Zannoni; Liron Pantanowitz; Esther Diana Rossi
Journal:  J Pathol Inform       Date:  2017-12-19

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

Authors:  Huazhang Guo; Joe Birsa; Navid Farahani; Douglas J Hartman; Anthony Piccoli; Matthew O'Leary; Jeffrey McHugh; Mark Nyman; Curtis Stratman; Vanja Kvarnstrom; Samuel Yousem; Liron Pantanowitz
Journal:  J Pathol Inform       Date:  2016-05-04
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  21 in total

Review 1.  Integrating digital pathology into clinical practice.

Authors:  Matthew G Hanna; Orly Ardon; Victor E Reuter; Sahussapont Joseph Sirintrapun; Christine England; David S Klimstra; Meera R Hameed
Journal:  Mod Pathol       Date:  2021-10-01       Impact factor: 7.842

2.  Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations.

Authors:  Niccolò Marini; Stefano Marchesin; Sebastian Otálora; Marek Wodzinski; Alessandro Caputo; Mart van Rijthoven; Witali Aswolinskiy; John-Melle Bokhorst; Damian Podareanu; Edyta Petters; Svetla Boytcheva; Genziana Buttafuoco; Simona Vatrano; Filippo Fraggetta; Jeroen van der Laak; Maristella Agosti; Francesco Ciompi; Gianmaria Silvello; Henning Muller; Manfredo Atzori
Journal:  NPJ Digit Med       Date:  2022-07-22

3.  Technical and Diagnostic Issues in Whole Slide Imaging Published Validation Studies.

Authors:  Paola Chiara Rizzo; Ilaria Girolami; Stefano Marletta; Liron Pantanowitz; Pietro Antonini; Matteo Brunelli; Nicola Santonicco; Paola Vacca; Nicola Tumino; Lorenzo Moretta; Anil Parwani; Swati Satturwar; Albino Eccher; Enrico Munari
Journal:  Front Oncol       Date:  2022-06-16       Impact factor: 5.738

Review 4.  The potential of artificial intelligence-based applications in kidney pathology.

Authors:  Roman D Büllow; Jon N Marsh; S Joshua Swamidass; Joseph P Gaut; Peter Boor
Journal:  Curr Opin Nephrol Hypertens       Date:  2022-02-14       Impact factor: 3.416

5.  Whole slide image data utilization informed by digital diagnosis patterns.

Authors:  Kimberly Ashman; Huimin Zhuge; Erin Shanley; Sharon Fox; Shams Halat; Andrew Sholl; Brian Summa; J Quincy Brown
Journal:  J Pathol Inform       Date:  2022-06-30

Review 6.  Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples.

Authors:  Alton B Farris; Juan Vizcarra; Mohamed Amgad; Lee A D Cooper; David Gutman; Julien Hogan
Journal:  Histopathology       Date:  2021-03-08       Impact factor: 5.087

7.  Deep learning segmentation of glomeruli on kidney donor frozen sections.

Authors:  Xiang Li; Richard C Davis; Yuemei Xu; Zehan Wang; Nao Souma; Gina Sotolongo; Jonathan Bell; Matthew Ellis; David Howell; Xiling Shen; Kyle J Lafata; Laura Barisoni
Journal:  J Med Imaging (Bellingham)       Date:  2021-12-20

8.  A Regulatory Science Initiative to Harmonize and Standardize Digital Pathology and Machine Learning Processes to Speed up Clinical Innovation to Patients.

Authors:  Hetal Desai Marble; Richard Huang; Sarah Nixon Dudgeon; Amanda Lowe; Markus D Herrmann; Scott Blakely; Matthew O Leavitt; Mike Isaacs; Matthew G Hanna; Ashish Sharma; Jithesh Veetil; Pamela Goldberg; Joachim H Schmid; Laura Lasiter; Brandon D Gallas; Esther Abels; Jochen K Lennerz
Journal:  J Pathol Inform       Date:  2020-08-06

9.  Digital Slide Assessment for Programmed Death-Ligand 1 Combined Positive Score in Head and Neck Squamous Carcinoma: Focus on Validation and Vision.

Authors:  Albino Eccher; Ilaria Girolami; Giancarlo Troncone; Liron Pantanowitz
Journal:  Front Artif Intell       Date:  2021-06-04

Review 10.  Digital pathology and computational image analysis in nephropathology.

Authors:  Laura Barisoni; Kyle J Lafata; Stephen M Hewitt; Anant Madabhushi; Ulysses G J Balis
Journal:  Nat Rev Nephrol       Date:  2020-08-26       Impact factor: 28.314

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