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How Your SOPs and Lab Software Can Help You Reduce Errors

In my previous post in this two-part series, I talked about how software can support your analysts as they follow your laboratory’s standard operating procedures (SOPs). This time, let’s take a closer look at how software that closely matches your SOPs can help your lab reduce errors, enhance morale, and improve patient safety. Two ways to view errors made in […]

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What Do Standard Operating Procedures Have To Do With Your Lab Software?

It might come as a surprise to some laboratory managers, but a lab’s standard operating procedures (SOPs) offer software consultants key insights into the workings of your lab. They also describe how your lab software should behave—assuming they are up to date. In this two-part series, we’re going to explore how SOPs relate to your lab software and how a […]

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When to Call in the Software Experts, and How to Get the Best Results

The success of any clinical diagnostic laboratory software project depends on multiple factors—including how much preparation the lab has done before calling in a consultant, whether they have a thorough understanding of their requirements, and if they have identified specific areas where they need help. In this post, we describe several common scenarios where labs have reached out to us […]

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Why and How You Should Automate Workflow Tests for Clarity LIMS

In clinical diagnostic laboratories, end-to-end testing of complex LIMS workflows is a critical part of the laboratory validation process. Performing these tests manually takes a Herculean effort. They’re hugely time-consuming and prone to error. Automated testing is an obvious solution, but these tests can also be expensive and take considerable time to create. That’s why we developed a reliable and […]

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Why Should Clinical Diagnostics Labs Care About Ontology?

In our previous post, we talked about the importance of data provenance for clinical diagnostics laboratories—that is, tracing the origin and changes to critical data such as electronic health records, analytical results, and workflow records. But no conversation about data is complete without also considering the ontology used. Proper data management is crucial for labs If your laboratory wants to […]

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What is Data Provenance & Why is it Important in the Clinical Diagnostics Space?

In clinical diagnostics labs, there’s a pressing need for data provenance—tracing the origin and changes over time of critical data such as electronic health records, analytical results, and workflow records. Provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability, or trustworthiness. […]

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From Paper to Digital: How One Molecular Pathology Lab Upgraded its Informatics

A lab’s informatics system is critical for its effective operation. As we discussed in a previous post, in the early stages of a lab’s business development, a complex system might not be necessary—the lab could simply use word processing or spreadsheet software. But as labs develop new tests and ramp up throughput, a robust informatics system becomes increasingly necessary. In […]

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6 Powerful Ways to Automate Your Next-Generation Sequencing Lab

For low-throughput labs, manual processing might be the simplest and best way to operate. But for high-throughput labs, automation is the key tool needed to boost speed and efficiency. Every process you currently perform manually is an opportunity for incremental improvement. So, it makes sense to automate as many processes as possible once your monthly throughput exceeds a certain threshold. […]

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Choosing a Lab Informatics Strategy: What’s Best for Your Startup?

Laboratory informatics is a critical piece of the puzzle for clinical diagnostic lab startups. Without some serious thought about how they’ll manage their instruments, software, and data management tools, labs can find themselves travelling along a well-worn but meandering path—even though there’s a more direct route to managing operations and optimizing their processes for efficiency. Frequently, startup labs get their […]

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How Agile and Scrum Can Help You Build Better Clinical Lab Software

The Agile methodology is one of the most common project management methods for software development, and for good reason. Its iterative nature lends itself to an ideal build process. Add clearly-defined team roles and a lightweight Scrum framework—with short, focused bursts of work called Sprints, which typically last 1–4 weeks—and you have an approach that enables teams to work together […]

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