POPULATION HEALTH ANALYTICS

How one ACG System user identified ED-related cost savings opportunities

How one ACG System user identified ED-related cost savings opportunities

October 5th, 2021
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Emergency Department Classification  |  
Population Health Management & Improvement

Using the most appropriate setting of care is one of the best ways to reduce health care costs. One way the ACG System supports this […]

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Using Control Charts to Measure Performance

Using Control Charts to Measure Performance

August 10th, 2021
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Emergency Department Classification  |  
Population Health Management & Improvement

The ACG System’s unique tools and granular visit-level data can help an organization use control charts to monitor Emergency Department visits, so they know if a specific intervention is achieving the desired goal. Learn more about control charts and how to use them.

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Casemix Adjustment: How one city in England used the ACG System to address misplaced initiatives, wasted time and miscommunications between providers and payers

Casemix Adjustment: How one city in England used the ACG System to address misplaced initiatives, wasted time and miscommunications between providers and payers

July 26th, 2021
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Population Health Management & Improvement

The Challenge The city of Leicester, England has been using the Johns Hopkins ACG® System since 2012 to help them to understand the health of […]

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Help improve care for overlooked patient group

Help improve care for overlooked patient group

July 13th, 2021
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Population Health Management & Improvement

When talking about population health, discussion often centers on the groups of patients with the highest health care utilization levels, for obvious reasons: those using […]

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Global adaptability on display in the UK

Global adaptability on display in the UK

June 28th, 2021
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Population Health Management & Improvement

One of the major hallmarks of the ACG System is the fact that many components can be adapted and customized by its users. One element […]

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How one organization sought to improve patient access to PCPs, health outcomes and costs, all by reducing unnecessary emergency department visits

How one organization sought to improve patient access to PCPs, health outcomes and costs, all by reducing unnecessary emergency department visits

June 14th, 2021
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Emergency Department Classification  |  
Population Health Management & Improvement

Long-time ACG System user Discovery Health, who provides administration and managed care services to over 3 million beneficiaries throughout South Africa, found themselves facing a […]

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A plan of action to reduce avoidable ED visits

A plan of action to reduce avoidable ED visits

June 1st, 2021
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Emergency Department Classification  |  
Population Health Management & Improvement

In our latest blog series, we’ll be taking a look at how the ACG System’s suite of tools can be used to understand emergency department […]

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Leverage emergency department data to reveal potential savings

Leverage emergency department data to reveal potential savings

May 17th, 2021
 |  
Emergency Department Classification  |  
Population Health Management & Improvement

ED visits for non-urgent conditions strain limited health care resources, incur unnecessary health care costs and contribute to suboptimal care coordination. With the help of the ACG System, users can identify and address potentially avoidable ED visits, ultimately streamlining access to health services for patients while revealing potential health care savings.

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Quick Win #7 – Identify and Address Variation across a Population

Quick Win #7 – Identify and Address Variation across a Population

May 4th, 2021
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Population Health Management & Improvement

With a few simple steps, users of the ACG System can identify and diagnose variation in their specific patient groups, catching any potentially unnecessary variation in cost.

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Quick Win #6 – Optimize Existing Programs

Quick Win #6 – Optimize Existing Programs

April 20th, 2021
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Population Health Management & Improvement

The ACG System can help users confirm existing programs are running at optimal performance, and more finely target the right program for each patient, to make better use of resources.

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