POPULATION HEALTH ANALYTICS
Addressing Multimorbidity in Population Health Analytics
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
In population health analytics, it’s well understood that patients with multiple chronic conditions—often referred to as “multimorbidity”—present unique challenges for health care systems and providers. […]
The Benefits of Using Primary Care Data in Population Health Management Analyses – Part I
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
We talk to our Dr James Barrett, Senior Technical Consultant at Johns Hopkins HealthCare Solutions, about the importance of using a combination of primary care […]
Maximizing Your Existing Data: Risk Stratification Using EHR Data
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
Electronic Health Records (EHRs) are invaluable for providers interested in population health analytics. Why? Health plans have medical and pharmacy claims data to use as […]
7 Quick Wins in Population Health Analytics that You Can Start Implementing TODAY
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
Creating a comprehensive population health strategy doesn’t have to be complicated. In fact, there are many quick ways to analyze your data to reveal potential […]
SDoH Blog Roundup
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
Social Determinants of Health (SDoH) — such as access to safe housing, education and healthy food — impact a wide range of health and quality-of-life outcomes. Today we […]
Smarter Segmentation: Identifying and Addressing Rising Risk Patients to Improve Population Health
|
Population Health Management & Improvement |
Risk Stratification & Population Segmentation
One goal of an effective population health management strategy is to identify and prioritize resources for the patients who need it most. But who are […]
The development of Patient Need Groups: An approach to needs-based population segmentation based on patterns of morbidity and mental health
The ACG System is continuously evolved and maintained through ongoing research and development by the Johns Hopkins Center for Population Health IT (CPHIT). CPHIT is […]
How the ACG System is used around the globe
When introducing someone to the ACG System, we often describe it as the world’s leading population health analytics software. The ACG System is relied on […]
How Patient Sortal Uses the ACG System to Prioritize Patient Need and Improve Care for Returning Citizens
An individual returning to their community after incarceration is often met with a host of challenges. This population already experiences higher than normal rates of […]
Discover Five Strategies to Improve Population Health
Health systems and providers know that the key to creating a robust and successful population health strategy is understanding their patient population — who they […]
Sign up for blog alerts and other insights from the ACG System team
Follow Us
