Systems and methods for prediction of unnecessary emergency room visits

This invention describes a system that uses data from a wearable device, like an activity tracker, combined with health record information, to predict if someone is likely to have an acute health event, such as an unnecessary emergency room visit. Artificial intelligence analyzes this data to calculate probabilities, and if a risk is detected, the user can be alerted to help prevent the visit. The system specifically uses activity tracker data such as heart rate, oxygen levels, activity, and calories burned, and can also include manually entered information.