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 ...
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 ...
Performance measurement – if done right – can be a core activity to move the health care system to higher value for the American public, while rewarding health professionals and health care ...
In modern organizations, data is everywhere. Dashboards update in real time. Reports are automated. Leadership teams review KPIs weekly. Yet despite all this visibility, business operations often ...
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 ...
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 ...
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 ...
The Health Insurance Disparities Index allows stakeholders to assess progress in addressing health care disparities using publicly available, validated, reported health plan quality metrics results.
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Beyond the numbers: Do quality metrics align with osteopathic principles of care?
It’s no secret that today’s healthcare system revolves around metrics. Specifically, quality metrics are increasingly used to ...
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 ...
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.
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