Presentations available: 2018 International Conference. LEARN MORE
NHS East Berkshire CCG honored with 2018 Starfield Award. LEARN MORE

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.

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

Infographic: Population Health Analytics – Learn more about the Johns Hopkins population health analytics team’s capabilities.

Video: Johns Hopkins Population Health Analytics – Learn how our team can help improve your population’s health and positively impact your health care costs.

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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.

Pharmacy AnalysisFinancial 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 ManagementCare 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”

Presentations are now available from the 2018 International conference where the ACG System team and hundreds of system users from around the world gathered to share their expertise and best practices.

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Johns Hopkins ACG System Team Honors NHS East Berkshire CCG With 2018 Starfield Award

Winning project created a new type of health care program that is delivered within a primary care setting

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Johns Hopkins Takes Predictive Analytics System Global

The ACG System is the population-based case mix system with the largest footprint in the world.  Professor Jonathan Weiner and Mark Cochran reflect on where the ACG System has been…and where it is going in the April edition of Health Data Management.

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Johns Hopkins Researchers Validate Using Senior Risk Factors to Predict Utilization

The Center for Population Health Information Technology and the ACG SystemTeam recently published a breakthrough article in Medical Care presenting and evaluating the ACG System’s new expanded Geriatric Risk/Frailty Risk metrics for predictive modeling derived from both ‘structured’ and ‘free text’ EHRs.

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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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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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