POPULATION HEALTH ANALYTICS
Using the ACG System to Measure Disease Prevalence by Race
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New and Novel |
Population Health Management & Improvement |
Social Determinants of Health
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 […]
Measuring Racial and Geographic Health Disparities with the ACG System
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New and Novel |
Population Health Management & Improvement |
Social Determinants of Health
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 […]
Social Need Markers in the ACG System
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New and Novel |
Population Health Management & Improvement |
Social Determinants of Health
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 […]
Patient Segmentation: How it Adds Value to Your Population Health Strategy
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 […]
How the ACG System Can Aid Users in Managing Pediatric Populations
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 […]
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 […]
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