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The Johns Hopkins ACG System models and predicts an individual’s health over time using existing data from medical claims, electronic medical records, and demographics like age and gender.
You gain the insights you need to evaluate and compensate providers, stratify risk, identify patients who would benefit from care management and forecast health care utilization.
For more than 30 years Johns Hopkins statisticians, economists and health care providers have collaborated with users to continually improve the ACG System’s ability to describe population health.
Over 140 million lives are impacted by the ACG System worldwide as health systems, health organizations, insurance companies, accountable care organizations (ACOs) as well as individual clinics and clinicians rely on the ACG System for health care analytics and insights into population health.
From the beginning, the ACG System has provided a more accurate representation of the health of the general population by transforming health care data into actionable information.
By capturing the morbidity burden of populations, the Johns Hopkins ACG System helps explain and predict how health care resources are delivered and consumed. Click on below categories to explore these different application types in detail, or visit our Applications page to see more application types.
Abstracts are now being accepted for the 2018 Starfield Award
Conference presentations and materials are now available to conference attendees.
Our 7th London Symposium “Understanding Population Health”
Highlights include enhancements to the Utilization Profile Report, new reports and export files, expanded modeling and processing options, technical enhancements, documentation improvements, and more.
HealthPartners, the largest consumer-governed, nonprofit health care organization in the United States, used the ACG System to develop summary measures to identify and address conditions and factors that have the greatest impact on population health. The method addresses a persistent need in population health measurement for improvement. The article is a joint publication initiative between Preventing Chronic Disease and the National Academy of Medicine.
The ACG System was used to accurately select multi-morbid patients for participation in proactive care management, even after some of the highest risk patients are excluded because of prior clinical considerations.
Two recently published studies applied the ACG System to pediatric populations; one examining health care resource use and the other providing insight into risk factors associated with repeat tests.