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Labs trying to stay ahead for once
The article looks at how laboratories are shifting from reactive operations—where problems are handled after they happen—to more proactive approaches that aim to prevent issues in the first place. This change is being driven by growing complexity in lab workflows and the need for more consistent, reliable results.
A key part of this shift involves better use of data. By monitoring equipment performance, workflows, and environmental conditions in real time, labs can spot patterns that signal potential problems before they escalate. This allows teams to schedule maintenance, adjust processes, and avoid unexpected downtime.
Automation and digital tools also play a role. Integrating systems and reducing manual steps can improve accuracy while freeing up staff to focus on higher-level work. Instead of constantly troubleshooting, teams can spend more time optimizing and improving processes.
Overall, the move toward proactive operations is framed as a way to increase efficiency, reduce costs, and improve the quality of outcomes across the lab.
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