CovidSentinel Coronavirus Platform

CovidSentinel Coronavirus Platform

Web-based symptom tracking application

Principal Investigator

Dr. Sze Man Tse

Partner

bld.ai

In the majority of cases, people with COVID-19 do not end up in hospital. It is important to monitor their symptoms, as they remain at risk of developing complications from the disease. Indeed, the CovidSentinel smartphone interface not only tracks individuals’ self-reported COVID-19 symptoms, but also allows information to be shared with health care professionals and the person’s virtual social circle. The platform is also used to document the impact of the pandemic on the health of at-risk individuals (e.g., those with chronic respiratory disease).

“TransMedTech supported the fast-track development of the first version of the CovidSentinel application. With partner bld.ai, the initial functionality is being leveraged to expand the application into other fields of application. MedSentinel, a mobile technology supported by artificial intelligence, was thus created to improve the well-being of patients by optimizing their healthcare.”

Dr. Sze Man Tse


In the winter of 2020, the outbreak of the COVID-19 pandemic resulted in many challenges that frontline staff and the healthcare system had to face. The TransMedTech Institute launched a “Call for Solutions” on March 16, 2020, to support the most relevant applications and solutions that are feasible in the short term (less than 6 months), while providing coaching and funding for their implementation.

The TransMedTech Institute has accompanied some 20 initiatives, acting as an “intermediary”. From the moment the needs were expressed, TransMedTech was very active in supporting the interdisciplinary teams in the realization of innovative solutions with the various stakeholders. The projects ranged from solutions for the protection of health care workers to the development of medical technologies for the prevention, diagnosis, monitoring and treatment of diseases, as well as the analysis of data related to population conditions.