Location: United States
The wearable device compares health data of the wearer to a database from millions of other chronically ill patients.
Patients with chronic illnesses typically have long term symptoms, many medications and can sometimes need regular hospital admissions. Applying predictive care to chronic illnesses provides an opportunity to prevent deterioration or begin treatment earlier. This can reduce the amount of time spent in hospitals and healthcare settings, and potentially lead to a better quality of life.
The Biovitals platform includes a wearable bracelet for people with chronic diseases such as COPD and heart failure. Sensors measure biodata every second and feed it to the FDA-approved AI platform. The 20+ biosignals get compared to the data of millions of other chronic illness sufferers and uses that data to make recommendations by spotting any trends.
Using this information, the machine-learning software can predict when the wearer’s health may need medical attention. Facilitating early intervention increases the likelihood of a positive outcome for the patient, such as reducing the need for a hospital admission or intensive treatment. This can also reduce the financial implications or demands that chronic illnesses can place on the healthcare system.
Biofourmis has software available for assessing chronic pain to assist with medication dosages, and separate programs related to predicting deterioration of heart health. Solutions are in the pipeline for obstructive sleep apnoea, heart disease, and cancer to further their ambition of personally predictive care.