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 ...

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 ...

Quality data is the cornerstone of good business decisions. To ensure your data is high quality, it must first be measured. Organizations struggle to maintain good data quality, especially as ...

Zehra Cataltepe is the CEO of TAZI.AI an adaptive, explainable Machine Learning platform. She has more than 100 papers and patents on ML. First of all, data quality should always be measured in ...

PALO ALTO, Calif.--(BUSINESS WIRE)--Today, Atropos Health, a pioneer in translating real-world clinical data into personalized, real-world evidence and insights, published a whitepaper outlining how ...

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 ...

Back in 2006, British mathematician Clive Humby stated that data was the new oil. Like oil, data isn’t useful in its raw state and must be refined, processed, and distributed to deliver value. Nearly ...

Bellin Health shares how the health system achieved the top composite quality score in the first performance year of Next Generation ACO. While the Next Generation ACO program has generated modest ...

Learn the definition of data quality and discover best practices for maintaining accurate and reliable data. Data quality refers to the reliability, accuracy, consistency, and validity of your data.

We rate Uber drivers, restaurants, Amazon delivery, and much more, but when it comes to our own health experience, we often have little to no data. That’s especially scary because the business model ...