Systems and methods for analyzing, interpreting, and acting on continuous glucose monitoring data

A system for treating a glucose condition of a user, the system comprising:

• a continuous glucose monitoring (CGM) device configured to output a plurality of glucose readings based on analyzing a bodily fluid over a period of time;
• a memory configured to store the plurality of glucose readings;
• and
• a processor configured to:
• generate a CGM trace based on the plurality of glucose readings over the period of time;
• identify a severity score of the CGM trace, wherein the severity score is based on a height of the CGM trace and a duration of time that the CGM trace stays above a target value;
• identify a starting state based on the severity score, the starting state being indicative of a glucose health of the user;
• generate an optimized pathway to reach an ideal state based on one or more user vectors and the starting state, the optimized pathway comprising one or more adjustments to the one or more user vectors wherein the one or more adjustments comprise a medication adjustment, a food consumption adjustment, and an exercise value;
• and
• provide the optimized pathway to the user via a graphical user interface (GUI) for treatment of the glucose condition using the adjustments to the one or more user vectors, wherein:
• the optimized pathway is provided as a machine learning model output, the machine learning model output comprising a user vector change based on machine learning inputs comprising the severity score of the CGM trace;
• the machine learning model inputs further comprising user attributes, wherein the user attributes comprise a medical attribute, a user preference, a metabolic attribute, and a user demographic;
• the optimized pathway is further based on a habit index score of the user, determined based on a cohort of users with one or more user attributes in common with the user;
• receiving an updated CGM trace over a second period of time using the CGM device by sensing an updated concentration of glucose within bodily fluid obtained during the second period of time;
• generating an updated optimized pathway to reach the ideal state based on the updated CGM trace;
• and
• providing the updated optimized pathway to the user via the GUI.

A system for treating a glucose condition of a user, the system comprising:

• a continuous glucose monitoring (CGM) device configured to output a plurality of glucose readings based on analyzing a bodily fluid over a period of time;
• a memory configured to store the plurality of glucose readings;
• and
• a processor configured to:
• generate a CGM trace based on the plurality of glucose readings over the period of time;
• identify a severity score of the CGM trace, wherein the severity score is based on a height of the CGM trace and a duration of time that the CGM trace stays above a target value;
• identify a starting state based on the severity score, the starting state being indicative of a glucose health of the user;
• generate an optimized pathway to reach an ideal state based on one or more user vectors and the starting state, the optimized pathway comprising one or more adjustments to the one or more user vectors;
• and
• provide the optimized pathway to the user via a graphical user interface (GUI) for treatment of the glucose condition using the adjustments to the one or more user vectors, wherein:
• the optimized pathway is provided as a machine learning model output, the machine learning model output comprising a user vector change based on machine learning inputs comprising the severity score of the CGM trace;
• the machine learning model inputs further comprising user attributes, wherein the user attributes comprise a medical attribute, a user preference, a metabolic attribute, and a user demographic;
• the optimized pathway is further based on a habit index score of the user, determined based on a cohort of users with one or more user attributes in common with the user;
• receiving an updated CGM trace over a second period of time using the CGM device by sensing an updated concentration of glucose within bodily fluid obtained during the second period of time;
• generating an updated optimized pathway to reach the ideal state based on the updated CGM trace, the updated optimized pathway comprising insulin intake information;
• and
• providing the updated optimized pathway to the user via the GUI.