Method and system for predicting physiological alarm frequency by patient monitors

A system for predicting physiological alarm frequency by patient monitors, the system comprising:

• an alarm rate model stored on a memory, wherein the alarm rate model describes alarm rates at a range of alarm configurations and is based on patient monitoring data from multiple patients in at least a first healthcare environment;
• a plurality of patient monitors configured to collect patient monitoring data from patients in a second healthcare environment;
• a processor configured to:
• receive initial alarm rate data for a second healthcare environment, wherein the initial alarm rate data is based on the patient monitoring data and includes at least one alarm rate at at least one known alarm configuration within the range of alarm configurations;
• calculate an alarm rate transform for the second healthcare environment comparing the initial alarm rate data for the second healthcare environment to the alarm rate model;
• and
• predict alarm rates for the second healthcare environment at a different alarm configuration than the at least one known alarm configuration of the initial alarm rate data based on the alarm rate transform.

A non-transitory computer readable medium configured for predicting physiological alarm frequency by patient monitors, the non-transitory computer readable medium containing program instructions that cause the computer to perform steps comprising:

• receiving an alarm rate model based on patient monitoring data from a first healthcare environment, wherein the alarm rate model describes alarm rates at a range of alarm configurations;
• receiving initial alarm rate data based on patient monitoring data from a second healthcare environment, wherein the initial alarm rate data includes at least one alarm rate at at least one known alarm configuration within the range of alarm configurations;
• comparing the initial alarm rate data for the second healthcare environment to the alarm rate model;
• calculating an alarm rate transform for the second healthcare environment based on the comparison;
• and
• predicting alarm rates for the second healthcare environment at a different alarm configuration than the at least one known alarm configuration of the initial alarm rate data based on the alarm rate transform.