COVID-19 Mortality Risk Calculator
This decision support tool helps calculate the risk of death for patients infected by COVID-19. This tool was developed using Surgisphere’s real time global research network and access to survival information on 4,296 patients infected by COVID-19. Please review the important considerations below prior to use.
This mortality risk score was created using data from Surgisphere’s real time global research network comprised of more than 1,200 healthcare organizations. A total of 6,103 patients with PCR-confirmed COVID-19 infection were evaluated, of which outcomes (survival vs. death) were known on 4,296 patients.
Accuracy and Validity
This tool presents a percent risk of mortality as a function of age and various comorbidities. This tool does not consider current clinical status, such as the presence or severity of various symptoms, lab tests, and imaging studies.
How Can I Contribute?
Surgisphere is dedicated to making the world a better place – for all people. Our research collaboration has helped improve the quality of care for kidney failure patients, improve outcomes for patients with cardiovascular disease, and avoid unnecessary hospitalizations and clinical testing for thousands of people. This effort requires participation of many good people – hospitals that want to use data to drive better outcomes, physicians who want to make more informed clinical decisions, insurance providers who want to make healthcare more accessible, and patients who want better outcomes.
If you are a physician, consider contributing to this effort by joining the research collaboration. There is no charge to participate.
If you represent a hospital, consider joining our global healthcare collaborative. You’ll get high quality dashboards and insight into clinical care that helps you deliver higher quality care for a more affordable cost. There is no charge for you to participate.
We are preparing a tool that helps predict outcomes for patients infected by COVID-19. What is the risk of serious illness? What is the chance of death? These are difficult questions to answer, but ones that we think we can solve using big data and machine learning. Consider funding this effort with a small donation.
This is a predictive model derived from 4,296 patients. THIS DECISION SUPPORT TOOL SHOULD NOT BE USED IN LIEU OF SOUND CLINICAL DECISION MAKING AND PROVEN TESTING METHODS. ALWAYS CONSULT WITH A LICENSED AND COMPETENT PHYSICIAN, PARTICULARLY AS IT RELATES TO THIS INTERNATIONAL PUBLIC HEALTH EMERGENCY.