Medical devices and related event pattern treatment recommendation methods

This invention describes a system that monitors a person's physiological data, like blood sugar levels, to spot recurring patterns that indicate a problem. It then shows a user-friendly display with a graph of the data and suggests specific treatment actions, including therapy settings for a medical device, to prevent those patterns from happening again. The system specifically focuses on managing glucose levels that are outside a healthy range.

Why it matters: Filed before advanced AI could robustly identify complex physiological patterns and generate precise, personalized therapy parameters. Current machine learning makes the core recommendation logic significantly more feasible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedSoftware logic, medical device integration, regulated components

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