Risk scores have long been a focus among health care systems for calculating the disease burden of a specific member or population. While these scores […]

Social Determinants of Health (SDoH) have long been discussed as critical for understanding the social, geographical, environmental and economic factors which determine a population’s overall […]

A patient’s care plan typically includes an assessment of their health risk. Does the patient have a history of non-compliance with medications? Are they more […]

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 […]

In the population health analytics world, population segmentation is an integral part of data analysis, and the ACG System relies on population segmentation to provide […]

Predictive Modeling is a common statistical technique that is often used to predict future outcomes. The ACG System’s predictive models can help System users gain […]

When it comes to the world of population health, it’s easy to get overwhelmed by all the options out there. You may also be asking […]

A quick look at key features of the ACG System.

Some current, real-world examples of the ACG System’s uses and functions.