“Digitalization of clinical practice and new knowledge are vital to understanding what patient subgroups need (which treatment) and making sense of data trends in the field of heart failure prevention, for instance. Heart failure prediction is still based on either basic weight scale or symptoms monitoring, which efficacy remains questionable. We, at Implicity, have access to data from all manufacturers’ devices. Our ability to correlate it to patient outcomes is a potential source of patient care improvement,” says Dr Rosier.
“We bring two kinds of innovative algorithms to help healthcare professionals: efficiency algorithms that help triage the large amount of data from devices and prediction algorithms which uses the full potential of AI to assess patient’s individual risk and predict events such as deterioration or onset of arrhythmia.”
“Having myself as a physician struggled with daily IT and data processing issues, I was able to pinpoint the problem and provide the needed product specifications for Implicity. The platform is designed to respond to a need I understand deeply,” says Dr. Rosier.