Beat Vascular Health

Overadmission of patients with suspected Acute Coronary Syndrome (ACS) is a big problem in healthcare and can be as much as 80% of the admitted patients, vastly increasing healthcare expenditure and workload.

Beat Vascular Health is developing a decision support tool that has the potential to be a game-changer for diagnosing suspected ACS patients. The uniqueness of the tool lies in the way it processes input data from different sensor types. This, combined with machine learning, results in a tool that can produce a more precise answer on whether or not a patient has ACS. With our system, we aim to greatly reduce the overadmission of suspected ACS patients, resulting in less healthcare expenditure and workload, as well as reducing the number of patients having to go through unnecessary diagnostic testing.