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Digitization of Pathology Labs: A Review of Lessons Learned

arXiv 2306.03619 ↗First posted 6 Jun 2023cs.HC cs.CV eess.IVcited by 2

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Abstract (arXiv)

Pathology laboratories are increasingly using digital workflows. This has the potential of increasing lab efficiency, but the digitization process also involves major challenges. Several reports have been published describing the individual experiences of specific laboratories with the digitization process. However, a comprehensive overview of the lessons learned is still lacking. We provide an overview of the lessons learned for different aspects of the digitization process, including digital case management, digital slide reading, and computer-aided slide reading. We also cover metrics used for monitoring performance and pitfalls and corresponding values observed in practice. The overview is intended to help pathologists, IT decision-makers, and administrators to benefit from the experiences of others and to implement the digitization process in an optimal way to make their own laboratory future-proof.

Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 1 of its 183 references that are in the map. First posted on arXiv 6 Jun 2023.

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1 of 183 references.

References · 1

  1. 2019Deep neural network models for computational histopathology: A surveycited by 165

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Citing papers per year: 2023: 1; 2024: 0; 2025: 1.

2 papers.