The Johns Hopkins ACG® System
How KPI Ninja, using the Johns Hopkins ACG System, provides integrated, advanced, comprehensive analytics to Health Information Exchanges (HIEs) and health care providers. The HIE Landscape HIEs make important connections between health plans, hospitals, private practices, providers and public health. They integrate large amounts of vital patient data and make key pieces available for sharing…
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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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Moving Beyond Condition Cohorts – Risk Stratification Analytics Part 5
Many providers and care teams head down population health paths by targeting conventional, condition-based cohorts. Yet, research has proven that the clustering of morbidity is a better predictor of health care service resource use than the presence of specific diseases. Condition cohorts are one approach. Patient-centered morbidity cohorts are another. When combined, the result is…
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