COVID-19 Medical Best Practice Guidance System

The surge of COVID-19 patients exceeds the available medical staff trained to care for them. To minimize the risk of preventable medical errors, we propose a medical best practice guidance system for COVID-19. Similar to how GPS calculates routes in real-time, our medical guidance system will provide real-time treatment guidance based on patient conditions with explanations according to COVID-19 guidelines. We will also provide a training system, based on the same model. Collaborating with physicians from OSF Children's Hospital of Illinois and the University of Chicago Medical School, we will create a guidance system for COVID-19 as a web-based service, backed by a mathematically verifiable computational pathophysiology model to improve the efficacy of medical interventions. We will first develop the real-time guidance for Acute Respiratory Distress Syndrome (ARDS), as it is the most complex and deadliest phase of COVID-19 pneumonia. We have developed a simplified prototype for screening and management of ARDS. Next, we will add a COVID-19 cardiopulmonary resuscitation guidance module, followed by tuning and integration and consistency checking. Our guidance system will be reviewed and clinically validated by our collaborating hospitals before patient use. The training system will be reviewed and deployed first. Both systems and the verifier will use the C3.ai platform.