Method for treating a patient with respiratory illness

A method for treating a patient with respiratory illness, the method comprising:

• training a machine-learning model utilizing a database of previously received sets of screening spirometry test data and their respective calculated performance scores;
• instructing the patient to perform a breathing maneuver via an animated avatar which demonstrates the breathing maneuver, wherein the animated avatar is generated by an artificial intelligence module;
• receiving a current set of screening spirometry test data measured by via a spirometer by the patient following the breathing maneuver instructions;
• generating a first patient performance score using the trained machine-learning model based on the received set of current screening spirometry test data;
• generating one of a first high alert when the first patient performance score crosses a first threshold and a first low alert when the first patient performance score fails to cross the first threshold;
• receiving a current set of at-home physiological test data;
• generating a second patient performance score based on the received set of current at-home physiological test data;
• generating one of a second high alert when the second patient performance score crosses a second threshold and a second low alert when the second patient performance score fails to cross the second threshold;
• receiving a set of current at-home patient survey data entered by the patient;
• generating a third patient performance score based on the received set of current at-home patient survey data;
• and
• generating one of a third high alert when the third patient performance score crosses a third threshold and a third low alert when the third patient performance score fails to cross the third threshold.