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 […]

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 […]

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 […]

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 […]

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 […]