Pre-emptive asthma risk notifications based on medicament device monitoring

A non-transitory computer readable storage medium comprising computer program instructions that when executed by a computer processor cause the processor to:

• access a set of historical rescue inhaler usage events recorded for a population of patients within a region, each event of the set of historical rescue inhaler usage events previously received from one of:
• a client device, the rescue inhaler unit, or a medicament device sensor removably attached to the rescue inhaler unit and configured to monitor medicament usage of the rescue inhaler unit, wherein a historical rescue inhaler usage event is recorded when the rescue inhaler unit dispenses a rescue medication to one of the patients within the region;
• determine a region-specific baseline risk threshold based on a value representing a percentage of the set of historical rescue inhaler usage events recorded for the population of patients within the region over a period of time;
• responsive to a triggering condition,
• access a set of input values;
• input the set of input values, and the region-specific baseline risk threshold into a machine-learned model to determine a risk score for the region, the machine-learned model trained using a training dataset to determine a set of parameter values, the training dataset comprising input values recorded during a historical rescue inhaler usage event in a region and labeled with a risk score determined for the region during the prior rescue inhaler usage event and the set of parameter values representing a relationship between each input value and the risk score determined for the region;
• and
• generate, for presentation on a computing device of each patient in the region, a notification comprising an updated adherence schedule for dispensing rescue medication to the patient based on the risk score.