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 […]

As we discussed in our recent blog post, the ACG System is unveiling advanced functionality that allows users to measure the significant impact of racial […]

The features included in the ACG System have been widely discussed in past blogs. Patient Need Groups, Social Determinants of Health (SDoH) and predictive modeling […]

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 […]