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Software Quality and Lab Quality: What’s the Difference?

As we mentioned in our previous post in this series, the quality of your software refers to its ability to meet requirements. There are a variety of metrics you can use to measure quality — with varying degrees of importance depending on who you ask and what aspects you want to measure. Fortunately, a number of standards can guide you, […]

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Lab Software Quality: What is Validation & Why is it Important?

Software quality is a broad topic and often not well understood by clinical diagnostic laboratories, which is why we thought it might be helpful to offer a quick primer. Commonly, the “quality” of software refers only to its ability to meet a set of requirements. But meeting requirements is just one of many metrics for measuring quality and if you […]

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Choosing the Best LIMS: How to Apply an Effective Data-Driven Selection Process

This week’s post comes from Vincent Briere of Vertiance. Vincent is a strategic technology leader and business partner driving enterprise growth and business performance via scalable information technology. He’s worked in the area of business application selection for many years and has developed a rapid data-driven process. It’s a process we would recommend to the clinical diagnostic laboratories we work […]

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How to Visualize and Implement a Continuous Improvement Pipeline in a Clinical Laboratory Context

Clinical diagnostic laboratories may have business goals that include increasing profits, reducing costs, or accelerating innovation. Continuous improvement is an organized approach to identifying opportunities to achieve these types of goals. What is a continuous improvement pipeline? In our work with clinical labs, we recommend building a continuous improvement pipeline—a repeatable mechanism (often called a “recipe”) for planning and deploying […]

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Which Type of Integration is the Right One: Direct or Indirect?

In previous posts, we’ve talked about the importance of integrations for clinical diagnostic labs. Integrations can help labs improve business performance, reduce the risk of errors, and boost productivity. We’ve looked at file- and API-based integrations for liquid handlers and how to overcome the technical challenges of implementing integrations within a lab environment. In this post, we’ll take a closer […]

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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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