Decades of Impact on Population Health Research and Practice

WHO WE ARE AND WHAT WE DO

Helping you understand the health status of individual patients, subgroups and whole populations.

The Johns Hopkins ACG System models and predicts an individual’s health over time using existing data from medical claims, electronic medical records, and demographics like age and gender.

You gain the insights you need to evaluate and compensate providers, stratify risk, identify patients who would benefit from care management and forecast health care utilization.

Infographic – Learn more about our population health analytics capabilities.

The Johns Hopkins ACG System White Paper– Describing the key applications and unique benefits.

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THE ACG SYSTEM ADVANTAGE

For more than 30 years Johns Hopkins statisticians, economists and health care providers have collaborated with users to continually improve the ACG System’s ability to describe population health.

Close to 200 million lives are impacted by the ACG System worldwide as health systems, health organizations, insurance companies, accountable care organizations (ACOs) as well as individual clinics and clinicians rely on the ACG System for health care analytics and insights into population health.

From the beginning, the ACG System has provided a more accurate representation of the health of the general population by transforming health care data into actionable information.

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APPLICATIONS

By capturing the morbidity burden of populations, the Johns Hopkins ACG System helps explain and predict how health care resources are delivered and consumed. Click on below categories to explore these different application types in detail, or visit our Applications page to see more application types.

Population Health Care Management Performance Analysis Finance/Budget

Pharmacy Analysis | Financial Analysis

Understand the health care needs of a population or subgroup. By taking into account the differences in illness burden among different patient populations, the ACG System helps you determine variations in disease prevalence as well as resource use.

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Disease Management | Case Management | Care Density | Care Coordination | Coordination Markers |

Optimize your case management and disease management programs. With the ACG System you can identify up to 25% more individuals for care management before they become high utilizers.

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Program Evaluation | Provider Profiling

Evaluate your provider network and individual providers. The ACG System uses a holistic approach to profile and evaluate your provider; examining health care expenses, practice patterns and the aggregate health of patient panels.

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Resource Allocation | Capitation | Underwriting | Risk Adjustment | Payment Adjustment

You can use the ACG System to establish capitation rates, reimbursement rates and insurance premiums. You can also use it to allocate resources within a health system to appropriately target populations in greatest need.

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Johns Hopkins 2018 ACG System

International Conference

“Bridging the Continuum of Care”

April 22-25, 2018
The Westin Riverwalk, San Antonio, Texas

Join the Johns Hopkins ACG System team and meet with hundreds of system users from around the world at the ACG System 2018 International Conference, along the beautiful Riverwalk, in San Antonio, Texas.

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ACG System Extends Above the Arctic Circle

Medrave Software, along with partner Ensolution (Johns Hopkins’ Nordic distributor) have won a contract to supply their risk stratification solution to 6 hospitals and 40 primary care practices in Norway. The solution, which includes the Johns Hopkins ACG® System, will identify high risk patients and then help to manage them more effectively. Kumar Subramaniam, executive director of Population Health Analytics at Johns Hopkins HealthCare Solutions says: “We are delighted that the ACG System will be used in a third Nordic country. Already in use in Sweden and Iceland, we are pleased that the software is going to be used to help Norwegian doctors and their teams support high risk patients more effectively.”

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ACG System Leaders Share How to Apply Big Data to Patient Care

Professor Jonathan Weiner and Kumar Subramaniam share their thoughts on practical ways for health care executives to tap their data, as well as the specific challenges it poses for population health analytics.

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ACG System Team Abstract Published

We’re proud to have an ACG System team abstract published from the 2017 Patient Classification Systems International (PCSI) Conference.

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The Annual ACG System UK Symposium Held in Leicester

Presentations from this insightful event are now available. Topics include: navigating the IG agenda to share and use integrated data and population health analytics techniques, exploring different types of advanced population health analytics used to support the work of CCGs, STPs and ACSs, Using casemix-adjusted data to undertake meaningful assessments of performance against key NHS targets, Learning about population health management activities that go beyond the traditional approaches and the implementation of new models of care, and an approach to population health management in Baltimore.

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Johns Hopkins Team Sees Risk Stratification Value in Rx Fill Data

In what its authors believe is “the first article to assess the impact of integrating EMR-based ‘e-prescribing’ information into the more conventional claims database when undertaking risk adjustment and predictive modeling,” a team of researchers –that included Predictive Modeling News Editorial Advisory Board member Jonathan P. Weiner DrPH, Professor of Health Policy & Management and of Health Informatics; Director, Center for Population Health Information Technology (CPHIT); ACG System co-developer and Executive Director of Research– had this to say: “We found that medication fill rates enhance the performance of some base models more than others. These improvements were lower when base models already included diagnostic codes or diagnostic-derived scores, thus signifying the potential usability of medication fill rates for risk adjustment in operational settings that have incomplete diagnostic information.”

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Research Sees Predictive Value in EHR-Only Data

Working with claims and EHR data from a large integrated provider system, the ACG System team assessed the “credibility” of risk scores derived from several EHR-only database providers.

These new data sources, increasingly used in the United States, have great potential as a source of information for the risk measurement and predictive modeling community. This published study represents a first step in understanding the risk measurement properties of these new streams of data without complimentary claims data.

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Learn How The ACG System is Applicable to Pediatric Populations

Three recently published studies applied the ACG System to pediatric populations. They use the ACG System to measure child health, to examine health care resource use and to gain insight into risk factors associated with repeat tests.

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MEASURING POPULATION HEALTH WITH THE ACG SYSTEM TO SUPPORT THE “TRIPLE AIM”

HealthPartners, the largest consumer-governed, nonprofit health care organization in the United States, used the ACG System to develop summary measures to identify and address conditions and factors that have the greatest impact on population health. The method addresses a persistent need in population health measurement for improvement. The article is a joint publication initiative between Preventing Chronic Disease and the National Academy of Medicine.