Infection Monitoring
BioRICS’ Continuous Infection Monitoring system is able to detect infections at an early stage.
InfectAlert
BioRICS’ Continuous Infection Monitoring system InfectAlert is able to detect the risk for infection at an early stage. The technology proves to be reliable with an overall accuracy (sensitivity and specificity) of 80% for COVID-19 infections and 92% for other infections. The algorithm already detects vulnerability for infection 7 to 2 days before the infection is confirmed and often before symptoms show up.
Prevent costs of care and treatment
Empowering patients
Earlier Intervention
Prevents spreading
Savings in Healthcare
Early risk detection via automated monitoring
InfectAlert is a web-based application that is easy to use and fully automated. It has important benefits for both healthy people and patients at risk.
By authorizing InfectAlert to access your Fitbit data—specifically heart rate and activity levels—the system can detect potential signs of infection. Each morning, users can check their latest result directly in the app. If a possible infection is detected and confirmed by a confirmatory test, treatment can immedicately start to prevent the illness from worsening. For high-risk patients, timely detection and early treatment will prevent complications and lead to faster recovery.
Please note: when using the system for the first time, InfectAlert requires 30 days of continuous Fitbit data (24/7) in order to learn the user’s individual baseline. Only after this initial period can the system begin providing accurate daily feedback.
One morning in spring 2020, I did not feel well but went to the pharmacy, as usual. The next few days, I did not feel any better but still continued working. I was in contact with at least 1.000 persons before being diagnosed with Corona. I wish InfectAlert would have existed then, as it would have prevented me from infecting many other persons.
Luc Kleynjans – Pharmacist and founder of Yoboo
Scientifically based technology
The InfectAlert monitoring algorithm is based upon the real-time analysis of the individual metabolic energy balance, rather than only using resting heart rate. This makes the technology more accurate in defining when your immune system is under pressure because the energy used for physical activities or mental events is separated from the energy used by the immune system.
BioRICS has started the development in September 2019, before Covid-19 appeared. The algorithm was tested on 185 subjects during which reliable reference data became available. From all scientifically published peer reviewed articles(*), InfectAlert has the highest accuracy with the lowest number of false alerts.
(*) Peer-reviewed publications are scientific articles that must be read and accepted by other scientists. The difference with white papers is well explained in https://digitalworldbiology.com/archive/cultural-confusion-white-papers-vs-peer-review
Stop disease spreading at work
Early detection of infection is extremely useful for companies that have production units, where viruses can easily spread but also in environments where many people gather or where the risk of getting infected is high.
Companies who provide this tool to their employees can realise substantial cost savings as they can now act in a proactive way. On top, InfectAlert is flexible and allows each company to integrate its own protocol in the app. This leads to a good and clear communication on what the employee is supposed to do after receiving an alert. Special discounts are granted for large groups who subscribe.
