Clinical labs aren’t just performing more tests; they’re performing a wider variety—from infectious disease screening to oncology—with tighter timelines and fewer resources. Yet many labs still depend on outdated, fragmented workflows that aren’t equipped to handle these growing demands.
Traditional diagnostic workflows involve multiple handoffs between instruments, systems, and personnel, each introducing delays. These disconnected workflows not only limit throughput but also increase the risk of errors, contribute to staff burnout, drive up costs, and compromise patient safety. The limited scalability becomes particularly problematic during periods of increased testing volume, such as flu season.
This article examines how integrated molecular diagnostic workflows can support faster turnaround times, reduce error-prone manual steps, enhance compliance and traceability, and improve patient outcomes.
Download this article to learn:
How workflow fragmentation impacts turnaround time, accuracy, and patient care
Which diagnostic workflow stages can benefit most from integration and automation
Strategies for improving operational efficiency and scalability
