Quality metrics are an objective, verifiable number. Unlike subjective data, the number is both quantifiable and can be confirmed. The potential downside to quality metrics is that the data may be ...

Athenahealth outlined four ways that healthcare practices can use quality metrics to improve performance outcomes in a recent athenaInsight blog post. 1. Mine data for insights: Analyze outcomes data ...

Learn more about objective quality metrics at Streaming Media's next event. Watch the complete video of this presentation from Streaming Media West, T101: HOW-TO: Fine-Tuning Your Adaptive Encoding ...

As the new manufacturing engineer for the stapler production line, you find yourself shifting through quality data to get a better understanding of the defect rates involved. One of the reasons you ...

Hospital and health system CFOs check numerous metrics on a daily basis and, as reimbursement becomes more closely linked to health outcomes, finance chiefs are examining quality metrics as a part of ...

Watch the complete panel from Streaming Media East Connect, How to Fine-Tune Your Encoding with Objective Quality Metrics on the Streaming Media YouTube channel. Learn more about streaming video ...

Data-driven decisions require data that is trustworthy, available, and timely. Upping the dataops game is a worthwhile way to offer business leaders reliable insights. Measuring quality of any kind ...

Ensuring excellent quality and outcomes is the essential goal of medical care. To achieve it, a multitude of quality metrics have been added to clinicians’ work. They include things such as ...

Software quality is a multifaceted concept that encompasses not only the functional correctness of software systems but also the structural soundness that underpins long‐term maintainability, ...

Data quality in the modern economy, where data-driving action is critical to business success, can no longer be perceived as mere tech detail. Business leaders increasingly use data to make strategic ...

Point cloud quality assessment is an emerging and critical field underpinning the reliability and performance of three-dimensional imaging applications. As point clouds become integral to domains ...