The direct costs of a glass-slide workflow are easy to see on a budget line. The indirect costs are harder to see. FTE hours spent on retrieval, assembly, transport, and misfiling; TAT delays caused by physical logistics; and staff time lost to avoidable rework can have a substantial impact on lab efficiency, productivity, and costs.

This article names and quantifies the specific lab efficiency workflow costs that manual slide handling imposes, draws on published operational data to show where the time goes, and makes the case for why addressing these costs is not simply a capital expenditure argument.

At 500 or more slides per day, a glass slide workflow is not just inefficient, it is a structural capacity ceiling. The high-volume labs that are breaking through that ceiling without expanding their workforce are not managing their way out of the problem. They are engineering their way out of it.

This article describes what that architectural change looks like in high-volume lab environments, what the published evidence shows about where throughput gains come from, and what the specific scanner and workflow design choices are that determine whether a digital pathology deployment actually delivers the capacity improvement it promises.

Every pathology lab has at least one person whose departure would cause a service disruption. Usually more than one. The question for a lab manager is not whether staff will leave. The real question is whether the laboratory's workflows are robust enough to absorb that departure without creating a diagnostic crisis.

This article is for labs that still rely on glass slide workflows dependent on individual expertise, highlighting why the need to reduce that dependency is becoming increasingly urgent.