Smart Diagnostics Ecosystem for COVID-19 Disease Management

A smart diagnostics ecosystem has been established that links the award winning programmable medical microdevice technology to cloud-based databases alongside clinically validated decision support tools that are optimized for use in Federally Qualified Health Centers. These premarket capabilities through this HHS design-a-thon effort are now being linked to build digital solutions for data capture, harmonization, and reporting from COVID-19 diagnostic tests using both laboratory and non-laboratory data allowing for the secure transmission of results to local, state, and national public health authorities. The solution here developed greatly facilitates the achievement of all the goals and outcomes set forth by the challenge. 

As we enter the second wave of COVID-19, we can take advantage of real-time patient and community level information to drive improved diagnostic testing accuracy and severity information using point-of-care diagnostic tools with embedded artificial intelligence and cloud connected databases. 

Further, this AI-linked universal diagnostic system has already been validated through a large series of clinical studies and has been used to identify signatures for early disease detection and disease severity, including COVID-19 within Brooklyn Family Health Center.

This smart diagnostic ecosystem is positioned to provide the most comprehensive COVID-19 clinical decision support system. The COVID-19 decision support system covers numerous diagnostic/prognostic outcomes across several patient settings. A mobile application allows the user to input critical data and receive a severity score in real-time.