a physician-guided, SMS triaging platform with location-relevant patient support
🗓️ March 2020 - Present
COVID Compass is a triaging platform for low-income populations based in St. Louis, Missouri that we developed after speaking with public health experts and physicians. Many current triaging systems only address whether a patient should or should not get tested, but fail to provide additional resources and support to ensure that testing does occur. As a result, most patients from low-income backgrounds are turned down from testing centers since they lack payment options or are missing referrals from medical professionals.
Compass is an end-to-end triaging system so we help patients determine both whether they should get tested and how/where they can do so in their local community.
Created a non-profit startup with a focus to to streamline COVID-19 testing in the United States with a group of undergraduates from around the United States.
As a technical co-director, built a risk-assessment algorithm using Twilio REST APIs to create and optimize an end-to-end operational workflow through a SMS triaging system.
Our platform has three distinct features.
First, our HIPAA-compliant SMS system surveys patients regarding COVID-19 symptoms and assesses their risk for having COVID-19. We ask a series of CDC and physician-curated questions to ensure that our workflow closely parallels the triaging done in hospitals.
Second, since many testing centers turn patients away due to inadequate payment options and stricter guidelines for testing, we establish partnerships with local testing centers guaranteeing that any person using our platform with a high risk assessment can still get tested regardless of insurance status. With every testing center we partner with, we ensure that our questions to assess risk meet their standards for testing.
Third, our platform serves as a case management tool to streamline testing in low-income housing communities. This directly combats issues that local community organizers have voiced regarding their inability to efficiently test a high number of residents.