Clinical Scorecard: The Gross Room’s Digital Makeover
At a Glance
| Category | Detail |
|---|---|
| Condition | Digital technologies and workflows for specimen grossing |
| Key Mechanisms | The article groups digital grossing technologies into intake (documenting specimens), integration (connecting information), and intelligence (applying computational tools and AI). Examples discussed include annotated photography, specimen radiography, three-dimensional imaging, voice recognition, adaptive templates, and computational tools. |
| Target Population | Pathologists, pathologists’ assistants, and laboratory teams involved in specimen grossing |
| Care Setting | Grossing laboratories; the source does not specify particular institution types. |
Key Highlights
- Gross specimens vary in size, shape, orientation, texture, and clinical context, making digitization more complex than digitizing standardized glass slides.
- Digital grossing technologies include annotated photography, specimen radiography, three-dimensional imaging, voice recognition, and adaptive templates.
- Interoperability can keep images, measurements, annotations, and sampling details linked to specimens throughout the pathology workflow.
- Computational tools may support reproducible measurement and automate repetitive tasks, while professionals retain responsibility for decisions requiring judgment.
- Successful adoption should begin with a defined laboratory problem; cost and leadership support are among the factors discussed.
Guideline-Based Recommendations
Diagnosis
- The interview notes that much of the information needed for staging comes from the gross specimen.
Management
- The interview suggests identifying which aspects of grossing technology could improve and introducing tools without disrupting professional judgment.
- The interview describes interoperability as keeping images, measurements, annotations, sampling details, and other observations linked to the specimen and accessible throughout the workflow.
- The interview frames computational tools as support for the person making decisions, not as replacements for professional judgment.
Monitoring & Follow-up
- The interview describes digital imaging as a potential way to make measurements more reproducible and quantify features that are difficult to estimate consistently.
- The interview discusses structured information linked to specimen images and computational tools for repetitive tasks as possible workflow improvements.
Risks
- The source describes variability in specimen size, shape, orientation, texture, and clinical context as a challenge for digitization.
- The source warns that information can be trapped in standalone cameras or workstations rather than remaining accessible across the workflow.
- The source cautions against replacing professional judgment with an algorithm.
Patient & Prescribing Data
Not specified; the article discusses laboratory workflows and specimen examination rather than patient treatment.
No prescribing or treatment regimen is provided. The article notes that some visually estimated gross-specimen percentages may influence treatment.
Clinical Best Practices
- Consider structured information linked directly to specimen images, as discussed in the interview.
- The interview identifies measurement, documentation, specimen identification, tracking, calculations, photography, and dictation as repetitive tasks that technology might support.
- The interview emphasizes providing better information to the professional making the decision rather than replacing professional judgment.
- Consider interoperability so specimen information remains accessible throughout the pathology workflow.
Related Resources & Content
Based on findings from:
The Gross Room’s Digital Makeover
Jessica Allerton. The Pathologist, 2026.
https://www.thepathologist.com/issues/2026/articles/october/the-gross-room-s-digital-makeover/
This content is an AI-generated, fully rewritten summary based on a published scholarly article. It does not reproduce the original text and is not a substitute for the original publication. Readers are encouraged to consult the source for full context, data, and methodology.