Category: Value-Based Care

KPI Ninja Earns NCQA eMeasure Certification℠ For Third Consecutive Year

Leading Healthcare Data Analytics Company Recognized For Rigorous Quality Measures Lincoln, Neb. – April 27, 2021 – KPI Ninja, a leading healthcare analytics company, earned the National Committee for Quality Assurance (NCQA) eMeasure Certification℠ (eMC) for the third consecutive year. This accomplishment comes following the commendable recognition of achieving NCQA’s Healthcare Effectiveness Data and Information…
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Opportunities for Health Information Exchanges in Value-based Care

Now more than ever, organizations like Centers for Medicare & Medicaid Services (CMS), Office of the National Coordinator for Health Information Technology (ONC) and National Committee for Quality Assurance (NCQA) are leveraging health information exchanges (HIEs) to improve interoperability and health information access for patients, providers and payers. When implemented effectively, HIEs can help reduce…
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Five Trends Shaping Health Information Exchanges in 2021

With healthcare transitioning from fee-for-service to value-based care, the role of health information exchanges (HIEs) – including how they support providers and payors – is changing. Below, we dive into several trends shaping today’s HIEs. Aligning with higher standards – Today’s HIEs are aligning with the initiatives rolled out by Centers for Medicare & Medicaid…
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Identifying Frailty – Risk Stratification Analytics Part 7

Frailty, while sometimes referred to as the normal aging process, is not always seen in geriatric patients. Rather, frailty as part of risk stratification is defined as a set of health characteristics that are associated with poor health outcomes, no matter the age. While there is no standard definition or formal diagnosis of frailty, identification…
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Making Laboratory Data Useful for Population Health Efforts – Risk Stratification Analytics Part 6

Providers are familiar with using laboratory test results to assist in the diagnosing and monitoring of a patient’s health condition. Performing this work for an entire population is challenging, as providers and care teams simply do not have time to jump from system to system to review test results, reconcile it with other health data…
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