A popular cardiovascular disease risk-prediction app developed by the American College of Cardiology is now able to run within electronic health record systems at the point of care where providers—cardiologists and general practitioners—need it most.

Available online through the Apervita Marketplace, a health analytics and data platform, ACC’s Atherosclerotic Cardiovascular Disease (ASCVD) Risk Estimator leverages multiple algorithms to help assess 10-year and lifetime risk for coronary death or nonfatal myocardial infarction as well as fatal or nonfatal stroke.

“Originally, the risk calculator was put out as an Excel spreadsheet, and shortly thereafter, we turned it into an app, which has been extraordinarily successful,” says Dino Damalas, ACC’s chief information officer. “What we really wanted to do was to try and figure out how to get the tool integrated with EHRs and other systems.”

ASCVD Risk Estimator
ASCVD Risk Estimator

The app, available in Android, iOS and web-based versions, has been downloaded more than 280,000 times and is used more than 7,000 times a day by individual providers. However, one limitation of its use with a mobile device is that it requires manual transfer of health data between records.

Now, the prediction tool directly interfaces with EHR systems, which “has not been that big of a leap,” Damalas says.

“Apervita’s Marketplace is a platform that enables a multitude of integrations with risk calculators and algorithms,” he adds. “The whole industry is moving to free the data and allow physicians and patients to be able to integrate it with other tools.”

Rick Halton, chief marketing officer at Apervita, says that his company’s marketplace enables providers to choose analytics that have been published by leading healthcare institutions such as ACC and integrate them into physician workflows, depending on the capabilities of their EHR or business intelligence systems.

“The EHR systems were never designed to deploy analytics at scale,” observes Halton. “Apervita basically acts as an execution engine that sits alongside these other systems that healthcare organizations are currently using, processing data, and feeding insight into those systems.”

When running the ASCVD risk estimator within an EHR, data such as a patient’s age, blood pressure, cholesterol and other critical information is automatically filled in. Then, after the calculator determines the risk levels, recommendations for treatment are provided to the system, Damalas says.

“The value is that there is already data that lives in your electronic medical record that is captured, with the ability to pre-populate a large portion of the actual metrics and data elements that drive the risk score,” says Tyler Gluckman, MD, a member of ACC’s Best Practices in Quality Improvement Committee who helped develop the ASCVD Risk Estimator app.

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