Learn how Humana Health Informatics uses the ACG System in predictive modeling for program design, improving care management services and customizing patient messaging.

Emergency Department visits for non-urgent care strain limited resources, incur unnecessary costs and contribute to sub-optimal care coordination. Learn how to analyze your Emergency Department data to reveal potential savings and improve health outcomes.

The team at Discovery Health wanted to find a way to reduce unnecessary emergency department visits and improve patient access to PCPs. Learn how they used the ACG System’s ED classification system to achieve their objective.

This report details the work of 2020 Starfield award winner Discovery Health to demonstrate, using the Johns Hopkins ACG System, the impact of improving primary care utilization.

This short report provides details of the third recalibration of the predictive models within the ACG System for the UK.

The UK Government and National Health Service required the identification of individuals at a higher risk of complications from COVID-19. The NHS South Central & […]

Health plans have experienced an unprecedented need to identify patients most at-risk and vulnerable to complications from COVID-19, take action to manage underlying chronic disease […]

By leveraging the Johns Hopkins ACG System, Marathon Health was able to offer outreach and options to individuals identified as a higher risk of contracting or experiencing complications as a result of COVID-19.

Slough Clinical Commissioning Group (CCG), which covers a population of 143,000 in the UK, used the Johns Hopkins ACG System to conduct a population health analysis that generated several new insights. After just 18 months, unplanned hospitalizations were reduced by 18% and emergency department visits were reduced by 19%.

The ACG System can help identify new Medicaid enrollees with high care needs.