From fluctuating slide volumes and peak periods to differences in workflows and budgets, no two pathology labs operate the same way. This makes it quite difficult to apply a one-size-fits-all approach to implementing digital pathology. A configuration that works well in one lab may increase turnaround times and costs, and limit scalability in another.
This white paper discusses how digital pathology systems—encompassing scanning, image management, and AI analysis—can be tailored to meet the unique needs of various laboratories. Using a framework centered on throughput, flexibility, and costs, it supports labs in planning and adopting digital workflows.
Download this white paper to explore:
How varying lab conditions influence digital pathology workflow design
Strategies for balancing cost, efficiency, and turnaround requirements
Examples of average-volume, high-volume, and cost-effective configurations, modeled from real lab data
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