How You Can Quantify Patient-Level Social Barriers and Facilitate Superior Health Outcomes Today, we introduce another new and unique feature in the upcoming ACG System […]

A Q&A with Klaus Lemke, Center for Population Health IT Here at Johns Hopkins Health Care Solutions, we’re excited about the upcoming launch of our […]

While the Johns Hopkins ACG System can be used for whole population analytics of disease prevalence, chronic condition markers, pharmacy adherence, prediction of cost and […]

Johns Hopkins HealthCare (JHHC), the managed care division of Johns Hopkins, has been a long-time user and test site for the Johns Hopkins ACG System. […]

In today’s health care environment, coordination of patient care can be extremely difficult. Many physicians face a juggling act, trying to balance management of high-risk […]

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 […]

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.