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Digital Pathology in Hematopathology: From Vision to Deployment.
Ryan C Shean1,2, Anton V Rets1,2
1Department of Pathology, University of Utah, Salt Lake City, Utah, USA.
International Journal of Laboratory Hematology
|July 23, 2025
Summary
Digital pathology (DP) offers workflow efficiency and AI integration in hematopathology. A strategic roadmap aids institutions in overcoming challenges for successful DP implementation, benefiting patients and providers.
Area of Science:
- Biomedical Informatics
- Pathology
- Medical Technology
Background:
- Digital pathology (DP) is increasingly adopted, mirroring broader digitization trends in medicine.
- The field is transforming diagnostic medicine and daily clinical practice.
Purpose of the Study:
- To review the clinical digital pathology ecosystem, focusing on hematology and hematopathology.
- To highlight the benefits, challenges, and provide a strategic roadmap for DP implementation.
Main Methods:
- Literature review of digital pathology adoption and impact.
- Analysis of benefits including workflow, remote access, collaboration, and AI.
- Identification of challenges in technology, infrastructure, and data management.
Main Results:
- DP offers enhanced workflow efficiency, remote diagnostics, and collaborative capabilities.
- Integration of artificial intelligence (AI) tools is a key advancement.
- Significant challenges include scanner technology, image management, IT infrastructure, regulations, and data storage.
Conclusions:
- Successful DP implementation requires strategic planning to navigate technical and logistical hurdles.
- A structured roadmap can support institutions of all sizes in transitioning to digital pathology.
- The ultimate goal is to improve patient care and health system outcomes through advanced diagnostics.
