Given the myriad technologies now networked into information systems, the criticality of transparent and dynamic middleware systems has only grown in recent years.
Armed with instrument use data coupled with QA and QC results, the laboratory director can zero in on process gaps and identify missing job aids that would prove useful at the bench. Middleware data also can be used to monitor workflow, observe and analyze trends and patterns, and better predict potential problems before they arise.
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