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 […]

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 […]

The ACG System’s unique tools and granular visit-level data can help an organization use control charts to monitor Emergency Department visits, so they know if a specific intervention is achieving the desired goal. Learn more about control charts and how to use them.

The Challenge The city of Leicester, England has been using the Johns Hopkins ACG® System since 2012 to help them to understand the health of […]

When talking about population health, discussion often centers on the groups of patients with the highest health care utilization levels, for obvious reasons: those using […]

One of the major hallmarks of the ACG System is the fact that many components can be adapted and customized by its users. One element […]

Long-time ACG System user Discovery Health, who provides administration and managed care services to over 3 million beneficiaries throughout South Africa, found themselves facing a […]

In our latest blog series, we’ll be taking a look at how the ACG System’s suite of tools can be used to understand emergency department […]

ED visits for non-urgent conditions strain limited health care resources, incur unnecessary health care costs and contribute to suboptimal care coordination. With the help of the ACG System, users can identify and address potentially avoidable ED visits, ultimately streamlining access to health services for patients while revealing potential health care savings.

With a few simple steps, users of the ACG System can identify and diagnose variation in their specific patient groups, catching any potentially unnecessary variation in cost.