COVID-19 Business Intelligence and Analysis for Clinical Laboratories, Pathology Groups and Hospital Administration

Reliable COVID-19 Business Intelligence and analysis for clinical laboratories, pathology groups and Laboratory Diagnostics.

New Tool by Cleveland Clinic and Epic Can Predict Which Patients Are Likely to Test Positive for COVID-19

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Predictive tool for COVID-19 highlights the advantages of coupling machine learning with laboratory data

New research performed by the Cleveland Clinic has developed a tool that can predict, with a high level of accuracy, the likelihood that a patient will test positive for COVID-19. This model uses data about a patient’s symptoms and potential exposure and combines this information with existing clinical and demographic data to determine their COVID-19 risk.

CompProMed Rapid Deployment LIS COVID-19 testing

This model was developed by leveraging the data of patients who were tested for COVID-19 by Cleveland Clinic, and it involved using machine learning to analyze patients’ healthcare data and compare that data to the likelihood of a positive COVID-19 result.

“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, MD, Chief Research Information Officer at Cleveland Clinic, as part of the announcement.

Lara Jehi Cleveland Clinic new tool for risk modeling
Dr. Jehi, Cleveland Clinic

Jehi currently spearheads multi-institutional National Institutes of Health-funded grants focused on data science. Her data-driven algorithms for clinical care decision-making are being used, studied, and expanded worldwide.

“We are excited to make this tool available to the 250 million patients around the world who have a record in Epic,” stated Jehi. “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.”

The model developed using Cleveland Clinic’s study has been integrated into the Epic platform. Epic has created an interface that allows patients to input their symptoms into an assessment tool based on the Cleveland Clinic’s predictive model. Epic then analyzes the patient’s data in the context of its health records and demographic data to develop an individualized COVID-19 risk assessment score.

COVID-19 Risk Scores Shared with Healthcare Providers

“With MyChart, patients can now determine the likelihood that they have COVID-19 using a trustworthy, clinically validated calculator,” said Trevor Berceau, Director of MyChart R&D at Epic. “These risk scores are shared automatically with healthcare providers, who can then follow up with patients as needed. Cleveland Clinic’s model helps their patients, and they are sharing it with health systems throughout the global Epic community.”

By identifying people who are most at risk for developing COVID-19, this tool helps to preserve resources. Testing can be redirected toward those who are most likely to need it.

Potential Opportunities of Predictive Modeling for Clinical Laboratories

This new tool will provide advantages to clinical laboratories that serve patients with access to Epic’s MyChart by increasing testing volumes for patients who may otherwise have been unaware of their need for testing. The availability of a clinically validated tool will encourage people to get COVID-19 testing who may have otherwise been unaware of their risk and need for testing.

Another key takeaway from this innovative development that clinical laboratories should consider is the value of using machine learning to analyze clinical data. Laboratory data represents about 70% of a patient’s permanent health record, and clinical laboratories can leverage this data through artificial intelligence or machine learning to gain competitive advantages.

By utilizing existing data, clinical laboratories may be better able to serve their patients while adding long-term value to their laboratory.
Caleb Williams
—By Caleb Williams, Editor, COVID-19 STAT

Related Resources:

LABline: Epic launches COVID-19 risk prediction tool

Chest: Individualizing Risk Prediction for Positive Coronavirus Disease 2019 Testing: Results From 11,672 Patients

Epic: COVID-19 Risk Model Now Available to Health Systems Around the World

COVID-19 TESTING DATA

Helping Your Lab Stay Afloat During Challenging Times

Dear Colleague,

Robert L. MichelIn these challenging times for our colleagues in clinical laboratories, pathology practices and hospital administration, The Dark Intelligence Group (TDIG) — through generous grants from our partners — is bringing you the COVID-19 STAT Intelligence Briefings.

We’ve added analysts, writers and skilled editors to the COVID-19 STAT team to uncover, analyze, and immediately report to you what’s happening with the SARS-CoV-2 pandemic, packaged with the insights you need to deliver quality testing for patient care and keep your lab’s financial ship afloat. As part of our mission, we are also bringing you real-time data from our partners around testing that you will not find anywhere else.

Please let me know how we can better improve this service to fit your needs. If you would like to offer a grant to keep our mission going with this site, please contact me at rmichel@darkreport.com.

Sincerely,

Robert L. Michel
President, Founder
The Dark Intelligence Group