Could you give us a brief description of your start-up and explain the reasons that led you to establish it up?
HuCare was born almost 5 years ago as a side project created by me (Giacomo Sebregondi) and my partners. It was a pill reminder, an application that helps patients remember the medications to take. While I was working in a small pharmaceutical company, it was decided to carry out a small research to validate the synecatechins in systemic administration against HPV and my duty was to evaluate costs and sustainability of the project. The clinic research never started, but I got the possibility to know that field better. I noted that the big CROs were not affordable for us, while the small ones had inadequate tools. At that point, we understood that we could combine our know-how, acquired from the interaction of patients, with the needs of clinical trials.
Once the BP was done, we found the first funds and two years ago I left my permanent job to dedicate myself full-time to this project.
Your platform can be adapted to monitor various clinical aspects, including monitoring and tracking of Covid-19. Can you explain how it works?
Our solution is not an “Immuni” model tracking app (the tracking app adopted by Italian government), but rather a platform that allows the monitoring of patients and coordinate the work of key figures that orbit around them. We quickly realized, as also wished by the FNOMCEO ( our State Medical Board Association), that General Medicine would play the role of sentinel on our territory.
Meeting the needs of some doctors, we created a part of a totally free platform, which can allow GPs to monitor suspected and confirmed positive cases of Covid (COVID-19) and organize the information flow on which the interventions of the USCA (unità speciali di continuità assistenziale) are based. The doctor, once intercepted a patient with flu-like symptoms, begins to monitor him/her by keeping track of clinical evolution through our platform. Patients are then seen by the USCA on a map that allows the aggregate reading of the data and then to identify possible outbreakes. Multiple suspected cases in a restricted area may indicate an outbreak. It is therefore possible to intervene before the outbreak is confirmed, gaining up to 10 days compared to the classic process.
The images you see obviously come from a development environment, and therefore do not contain indications on real patients.