Population Health Analytics
How can understanding common comorbidities improve your population health strategy and ultimately, patient outcomes?
A comorbidity can be defined as the presence of two or more diseases or medical conditions in a patient. Hypertension, high cholesterol, obesity and chronic […]
Addressing multimorbidity is critical to an effective population health strategy
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Population Health Management & Improvement |
Risk Stratification & Population Segmentation
In the population health analytics world, we know that patients with multiple health conditions (or “multimorbidity”) have unique health needs that present numerous challenges to […]
4 Things Users Should Know About Predictive Modeling
Predictive modeling is an essential element of population health analytics. When using the Johns Hopkins ACG System or building your own predictive models, there are […]
A more advanced segmentation model that enables action
As we’ve discussed in previous posts, segmentation is a vital tool for dissecting data and understanding patient needs. Today, ACG System users can utilize various […]
How one ACG System user identified ED-related cost savings opportunities
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Emergency Department Classification |
Population Health Management & Improvement
Using the most appropriate setting of care is one of the best ways to reduce health care costs. One way the ACG System supports this […]
