Population Health Analytics
Using the ACG System’s New Segmentation Module to Target Actionable Patient Groups
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Population Health Management & Improvement |
Risk Stratification & Population Segmentation
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. […]
How the ACG System was used to help providers assess and refer patients to care coordinators—leading to cost savings and better patient care
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 […]
How can understanding common comorbidities improve your population health strategy and ultimately, patient outcomes?
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 […]
Addressing multimorbidity is critical to an effective population health strategy
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Population Health Management & Improvement |
Risk Stratification & Population Segmentation
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 […]
4 Things Users Should Know About Predictive Modeling
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 […]
