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Pathology in motion: Automation from specimen to report.

Vincenzo L'Imperio¹, Angelo Paolo Dei Tos², Maurizio Carbone¹

¹Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo dei Tintori, University of Milano-Bicocca, Italy.

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Summary

This summary is machine-generated.

Laboratory automation enhances pathology workflow efficiency and reliability. Automating tasks like processing, embedding, and archiving significantly reduces manual labor and errors, improving diagnostic safety and staff focus.

Keywords:

Automation Cutting Digital pathology Embedding Pathology workflow

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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

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Area of Science:

Medical Laboratory Science
Pathology Workflow Optimization

Background:

Pathology labs face increasing diagnostic demand, complexity, and staffing shortages.
Current manual workflows are inefficient, error-prone, and contribute to staff burnout.

Purpose of the Study:

To review automation solutions for key pathology workflow phases.
To compare automation efficiency and accuracy against manual methods.

Main Methods:

Review of current automation technologies for grossing, labeling, processing, embedding, microtomy, and archiving.
Comparative analysis of automated vs. manual workflow data for efficiency, accuracy, and traceability.

Main Results:

Automation improves efficiency and reliability across multiple pathology stages.
Advanced processing systems offer faster turnaround and better tissue preservation.
Automated embedding, microtomy, and archiving significantly reduce manual handling time and improve sample tracking.

Conclusions:

Automation enhances standardization, efficiency, and diagnostic safety in pathology.
High implementation costs and infrastructure demands are current barriers.
Automation is crucial for building resilient and future-ready pathology services.