Analysis of the three-year work of a digital pathomorphological laboratory built from the ground

Rudenko Ekaterina Evgenievna, Demura Tatiana Alexandrovna, Vekhova Ksenia Andreevna, Lobanova Olga Andreevna, Yumasheva Valentina Alekseevna, Zhakota Dmitrii Anatolevich, Anoshkin Kirill, Remez Alexey, Untesco Maksim, Kroman Nikolay, Mayer Artem, Zhuravlev Alexander, Kryatova Alexandra, Lyapichev Kirill, Genis Mikhail

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

Digital pathology is a new stage in the development of pathomorphological diagnostics. This topic was most widespread during the COVID-19 pandemic. The advantages of digitization of diagnostics include the possibility of remote work of a pathologist, remote asynchronous consultation, and automation of business processes. They provide an increase in diagnostic quality and speed up the diagnosis process. These benefits are only a small part of what digital cancer diagnostics can provide. This article is written on our own experience of Russia's first fully digital pathomorphological laboratory UNIM. All advantages and disadvantages of digitization, peculiarities of using technology, differences from the conventional approach to diagnostics, the economics of the process, the importance of integration with LIS (laboratory information system) and MIS (medical information system), errors and principles of their solution, payback will be discussed, and every stage of laboratory work will be considered in detail: from logistics and registration to diagnosis and archiving. Due to the fact that all data has been digitized over several years, we will present a comprehensive analysis of statistics and observations on how to organize processes in a fully digital laboratory. A key feature of our experience is the high cost-effectiveness of the platform and approach, which allowed us to win the competition in the market. The result of the survey of doctors' attitudes towards digital pathology will also be presented.

Original languageEnglish (US)
Article number100111
JournalJournal of Pathology Informatics
Volume13
DOIs
StatePublished - Jan 2022

Keywords

  • Automation
  • Cancer
  • Consultation
  • Cost-effectiveness
  • Diagnosis
  • Digital
  • Digitalization
  • Digitization
  • MDT
  • Oncology
  • Optimization
  • Pathology
  • Pathomorphology
  • Telemedicine
  • Telepathology

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Health Informatics
  • Computer Science Applications

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