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 ...
Zehra Cataltepe is the CEO of TAZI.AI, an adaptive, explainable AI and GenAI platform for business users. She has 100+ AI papers & patents. In many industries, including banking, insurance and ...
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 ...
The evolution of health care quality metrics over the preceding decades illustrates an enduring commitment toward enhancing patient outcomes, refining the structure of health care delivery, and ...
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 ...
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.
The National Committee for Quality Assurance is adding metrics to the Healthcare Effective Data and Information Set to track how well insurers address health disparities. The update adds some race and ...
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