Freeing up needed hospital capacity, relieving and protecting frontline hospital staff from dealing with known and potentially infected patients while still providing the necessary care and optimizing for the first-responder action in case of patient need.
Working with FMUP, the Faculty of Medicine for the city of Porto, Mosano built an MVP in record time to allow doctors and reference personnel to track patients’ and potential patients’ health symptoms, predict when they need to be hospitalized using validated Machine Learning models, maintain an open communication channel between hospitals and end-users and allow the latter to receive remote diagnosis and alerts in time of need. This project was awarded by Fundação Calouste Gulbenkian as one of the most innovative projects on digital solutions to fight the pandemic.
The platform is designed to grow into a full-scale remote patient care management tool, using machine learning and remote diagnostics to allow hospitals to grow their own patient monitoring capabilities, during the pandemic management stage, as well as after.
ReactJS, React-Native, GraphQL, GoLang, PostegreSQL, Hasura, Heroku, AWS
With the creation of CovidApp, Mosano ventures into turning unique internal technology, access to exclusive distribution channels, and academia and industry partnerships into a technological solution that not only is already empowering reference healthcare institutions in their response to a global crisis but can become a fundamental part of hospital-to-patient relationship management, in a secure, intelligent and future-proof manner.