Real-World Implementation of Digital Pathology: Results from an Intercontinental Survey

Daniel Gomes Pinto, Andrey Bychkov, Naoko Tsuyama, Junya Fukuoka, Catarina Eloy

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


The last seventy years have been characterized by rapid advancements in computer technology, and the healthcare system has not been immune to this trend. However, anatomic pathology has remained largely an analog discipline. In recent years, this has been changing with the growing adoption of digital pathology, partly driven by the potential of computer-aided diagnosis. As part of an international collaboration, we conducted a comprehensive survey to gain a deeper understanding of the status of digital pathology implementation in Europe and Asia. A total of 127 anatomic pathology laboratories participated in the survey, including 75 from Europe and 52 from Asia, with 72 laboratories having established digital pathology workflow and 55 without digital pathology. Laboratories using digital pathology for diagnostic (n = 29) and non-diagnostic (n = 43) purposes were thoroughly questioned about their implementation strategies and institutional experiences, including details on equipment, storage, integration with laboratory information system, computer-aided diagnosis, and the costs of going digital. The impact of the digital pathology workflow was also evaluated, focusing on turnaround time, specimen traceability, quality control, and overall satisfaction. Laboratories without access to digital pathology were asked to provide insights into their perceptions of the technology, expectations, barriers to adoption, and potential facilitators. Our findings indicate that while digital pathology is still the future for many, it is already the present for some. This decade may be a time when anatomic pathology finally embraces the digital revolution on a large scale.

Original languageEnglish
Article number100261
JournalLaboratory Investigation
Issue number12
Early online date13 Oct 2023
Publication statusPublished - Dec 2023


  • artificial intelligence
  • Asia
  • computational pathology
  • digital pathology
  • Europe
  • implementation
  • survey


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