Cleveland Clinic Develop COVID-19 Risk Prediction Model through Epic MyChart

What You Should Know:

– Cleveland Clinic develops the COVID-19 risk prediction model through Epic MyChart that is now available to health systems around the world.

– Healthcare organizations can present the clinically
validated model to patients in MyChart to assess their risk of having COVID-19.

Cleveland Clinic researchers have developed a COVID-19 risk prediction model that uses information from the patient’s comprehensive health records combined with patient-centered information in Epic’s patient-facing app, MyChart, to show an individual’s likelihood of testing positive for COVID-19. The COVID-19 risk prediction model is now available to health systems around the world through Epic.

 A COVID-19 risk prediction model designed by Cleveland Clinic researchers is
now available to health systems around the world through Epic. Developed and tested using
clinical data from more than 11,000 Cleveland Clinic patients, the model
uses information from patients’

COVID-19 Risk Prediction Model Development

Predicting positive COVID-19 tests could help direct limited healthcare resources, encourage those who are likely to have the virus to get tested, and tailor decision-making about care. Cleveland Clinic’s model was developed and validated using retrospective patient data from more than 11k patients tested for COVID-19 at Cleveland Clinic locations in Northeast Ohio and Florida. Data scientists used statistical algorithms to transform data from patients’ electronic medical records into the first-of-its-kind risk-prediction model. All data collected was housed in a secure database.

How It Works

Patients complete a short self-assessment in MyChart,
documenting information like symptoms they are experiencing and potential
exposure to COVID-19. The model uses that information, as well as clinical and
demographic data already in their electronic chart, to calculate their score.
Patients with high risk for having COVID-19 are advised to receive a test, and
their care team members can be automatically notified of a high-risk score.

Other healthcare providers around the country also have
developed risk prediction models, which they can integrate with Epic. For
organizations that want to use an existing model rather than developing their
own, they can quickly turn on the model designed, developed, and tested–and now
being shared–by Cleveland Clinic researchers.

“We have developed the first validated prediction model that can forecast an individual’s risk for testing positive with COVID-19 and then simplified this tool while retaining exceptional accuracy for easy adoption,” said Lara Jehi, M.D., Chief Research Information Officer at Cleveland Clinic. “We are excited to make this tool available to the 250 million patients around the world who have a record in Epic. The ability to accurately predict which patients are likely to test positive will be paramount in effectively managing a patient’s care as well as allocating our resources.”

Show CommentsClose Comments

Leave a comment

%d bloggers like this: