What percentage of labor cost is often attributed to front-end sample processing in some laboratories?

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Front-end sample processing, or pre-analytic handling, involves all the steps required before the actual lab analysis: receiving and labeling specimens, accessioning, verifying specimen quality, centrifugation, aliquoting, manual pipetting, batching, and preparing samples for the analyzers. These tasks demand a lot of human time and attention, decisions, and ongoing workflow management—things that automation can speed up but often cannot fully replace. Because of that hands-on workload and the need to ensure every specimen is properly prepared and routed, this portion of the work tends to dominate labor costs in many laboratories. In practice, it’s common for about sixty percent of total labor cost to be spent on front-end processing, with the remainder allocated to the analytical and post-analytical phases (result validation, reporting, QA, etc.). The other options are unlikely in typical settings: far less than this would imply the analyzers and post-analytic tasks do most of the work, while a figure as high as ninety percent would leave little room for any analytical activity, which isn’t realistic.