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Feb 16, 2018 | Blogs, Software, Technology | 0 comments
In the old days, if you wanted to monitor your lab’s data, you would either remain by your instrument as long as it took to complete the sample run or dial-in via a telephone modem. Neither option, however, offered much in the way of enhancing productivity.
Today’s lab, however, has more choices when it comes to ensuring smooth operations and overall equipment effectiveness (OEE) using remote monitoring services, a topic that we have touched upon a few times recently.
“An increase in machine-to-machine (M2M) connectivity is a key enabler in cost savings, efficiency gains, revenue opportunities, and competitive advantage,” said Andy Wight, Director, SCIEX Service Product Portfolio, in a 2014 R&D Magazine article1.
Three years later, the same holds true as remote monitoring offers a low-risk solution in a situation where time is most certainly money.
Consider this statement from Lab Manager Magazine2, which offers an in-depth, third-party perspective on criteria for selecting service options. “A critical factor in selecting the service option for a particular instrument is the longest acceptable time that it can be out of service without seriously impacting customers. When these costs are very high, options offering short times to repair are often the most advantageous choices in spite of higher prices if the lab has no immediate reserve measurement capability2.”
Which brings us to remote monitoring which, “Is no longer a component of a break-fix repair business, but is enabling a service option in its own right,” said Wight in 2014. It can also help you:
By now, you understand that remote monitoring services play a critical role in lowering your OEE, as it helps you find the root cause of your errors faster and avoid them when possible. Simply put, reducing downtime means your instruments can be running samples that would otherwise be waiting, costing you throughput, time and expense.
What’s more, is that critical instrument data such as voltages, pressures, temperatures, and system/component states and errors (but never your proprietary sample data), are recorded and can be used to speed up the troubleshooting process, and reduce time to fix.
As instruments become “smarter,” and scientists have access to larger amounts of real-time data, analysis and interpretation becomes more important and more complex. When implemented as an integrated service solution, remote monitoring and data analytics provide innovative capabilities to:
In summary, using remote monitoring software enables your lab to save time and costs, without sacrificing on the quality of your analyses.
Want to increase your lab’s productivity with remote monitoring from SCIEX?
Regulated laboratories are evolving faster than ever. New analytical modalities, higher sample throughput, increasing regulatory scrutiny, and leaner teams are reshaping how work gets done. At the same time, expectations for data integrity, standardization, and operational efficiency continue to increase complexity and/or scope. In this environment, LC-MS software is no longer simply an instrument control platform—it has become a critical part of a laboratory’s quality management system. The question is no longer whether your lab has changed, but whether your software has evolved to support the way regulated labs operate today, and if they are ready and able to meet the demands, they will face tomorrow.
Analyst software has long been a trusted foundation in regulated LC-MS laboratories—and for many, it still performs reliably today. But regulated environments are evolving faster than ever. As labs transition to Windows 11, strengthen cybersecurity policies, modernize IT infrastructure, and prepare for future compliance expectations, software decisions are no longer just about what works today—they’re about managing tomorrow’s risk. Analyst will not be supported on Windows 11. While some labs may continue operating in unsupported environments temporarily, the bigger question is: when that risk becomes reality, will your lab be reacting under pressure—or executing a planned mitigation strategy with confidence?
As regulatory scrutiny increases and detection requirements tighten, laboratories are facing a new question: How can TFA be measured reliably, sensitively, and at scale?
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