Category: NCQA

KPI Ninja receives NCQA Measure Certification℠ for HEDIS® Health Plan 2020, Another Step in Becoming the Most Comprehensive Population Health Analytics Company

March 30, 2020 Lincoln, NE – KPI Ninja Inc., a leading healthcare technology company known for its comprehensive population health analytics, announced today that it has received National Committee for Quality Assurance (NCQA) Measure Certification℠ for HEDIS® Health Plan 2020. This recognition demonstrates that their software offers the functionality to enable health plans to meet…
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KPI Ninja is One of the First Two Vendors in the Country to Earn NCQA 2019 Patient-Centered Specialty Practice Prevalidation

March 2, 2020 Lincoln, NE – KPI Ninja Inc., announces that Ninja Universe, their innovative analytics platform, is one of the first two vendors in the country to achieve National Committee for Quality Assurance (NCQA) 2019 Patient-Centered Specialty Practice (PCSP) Prevalidation. This recognition demonstrates that their software is directly aligned to the newly released program,…
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12 Monumental Months in Redefining “HIE”

Healthcare has seen some tremendous change in the last twelve months with advancements in precision medicine, healthcare disparities, alternative payment models and Ninjas. Yes, Ninjas . . . 2019 was a historic year for KPI Ninja’s pursuit of disrupting the healthcare system by redefining what is possible when Health Information Exchanges (HIEs) become aligned to…
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PCMH: The Picture on the Outside of the Box for Primary Care Improvement

The fundamental concept behind many of the primary care transformation models is simple: improve clinical outcomes within a reasonable price point. While Patient-Centered Medical Home (PCMH) may not be the silver bullet to all your operational struggles, it may be a worthwhile reference to use at various points along your journey. PCMH is a team-based,…
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CCD, CDA, C-CDA and their evolution

Standardizing data for seamless information exchange in Healthcare Clinicians across the country gather patient data using a wide spectrum of digital interfaces. These user interfaces are adapted to suit their local preferences for sequence and naming conventions and include fields for standard elements. As a result, the captured data from one system couldn’t be understood…
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