POPULATION HEALTH ANALYTICS
Going Beyond the Risk Score – The Importance of Diving Deeper
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ACG 101 |
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
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 […]
ACG GeoHealth: Using Social Determinants of Health to Drive a Successful Population Health Strategy
Social Determinants of Health (SDoH) have long been discussed as critical for understanding the social, geographical, environmental and economic factors which determine a population’s overall […]
Risk Stratification 101: What is it and how is it used?
A patient’s care plan typically includes an assessment of their health risk. Does the patient have a history of non-compliance with medications? Are they more […]
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 […]
Population Segmentation 101
In the population health analytics world, population segmentation is an integral part of data analysis, and the ACG System relies on population segmentation to provide […]
The ACG System and Predictive Modeling
Predictive Modeling is a common statistical technique that is often used to predict future outcomes. The ACG System’s predictive models can help System users gain […]
What sets the ACG System apart?
When it comes to the world of population health, it’s easy to get overwhelmed by all the options out there. You may also be asking […]
ACG 101: How can the ACG System address the health care challenges of the future?
A quick look at key features of the ACG System.
ACG 101: What can the ACG System Do?
Some current, real-world examples of the ACG System’s uses and functions.
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