Systems and methods for analyzing, interpreting, and acting on continuous glucose monitoring data
Inventors
Liu, Shiping • SHOMALI, Mansur • KUMBARA, Abhimanyu • Iyer, Anand • Peeples, Malinda • DUGAS, Michelle • CROWLEY, Kenyon • GAO, Guodong
Assignees
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Publication Number
US-12011262-B2
Publication Date
2024-06-18
Expiration Date
Abstract
Methods and devices include automated coaching for management of glucose states by receiving a user's glucose levels using a continuous glucose monitoring (CGM) device, determining a time in range (TIR) value, determining a TIR state, receiving a glucose variability (GV) value, determining a GV state, determining a starting state based on the TIR state and the GV state, determining that the starting state corresponds to a non-ideal state, generating an optimized pathway to reach an ideal state based on one or more account vectors such as addressing self-management behavior including food, activity, and medication use. The optimized pathway may further be based on computer detection and classification of significant events of interest over time.
Core Innovation
The invention provides a computer-implemented method for managing glucose states of a user. It receives a plurality of optimization profiles for reaching an ideal state from a non-ideal state, where the ideal state corresponds to a first time in range (TIR) state and a first glucose variability (GV) state and the non-ideal state comprises at least one of a second TIR state or a second GV state. The first TIR state is above a threshold TIR value and the second TIR state is below the threshold TIR value.
The method determines a current TIR state based on a TIR value of the user's glucose level, where the TIR value is based on an amount of time the user's glucose level is within a threshold band. The method determines a current GV state based on a GV value associated with the user's glucose level, where the GV value indicates a standard deviation (SD) of glucose levels or a coefficient of variance (CV), and the CV corresponds to a variability of the user's glucose level.
The invention receives one or more user vectors for the user, identifies an optimization profile based on the one or more user vectors, and identifies an optimized pathway based on the identified optimization profile, the current TIR state, and the current GV state. The optimized pathway includes one or more adjustments to the one or more user vectors, including a medication adjustment, a food consumption adjustment, or an exercise value, and includes a user vector change based on the current TIR state, the current GV state, and user attributes.
The optimized pathway is based on a habit index score of the user determined based on a cohort of users and is provided to the user.
Claims Coverage
The independent claims identified are clm-00001, clm-00011, and clm-00020. Across these, the claims share a common inventive concept and include 5 main inventive features.
Optimization profiles for ideal and non-ideal TIR/GV states
Receiving a plurality of optimization profiles for reaching an ideal state from a non-ideal state, the ideal state corresponding to a first time in range (TIR) state and a first glucose variability (GV) state and the non-ideal state comprising at least one of a second TIR state or a second GV state, wherein the first TIR state is above a threshold TIR value and the second TIR state is below the threshold TIR value.
Current TIR state determination using threshold band
Determining a current TIR state based on a TIR value of the user's glucose level, wherein the TIR value is based on an amount of time the user's glucose level is within a threshold band.
Current GV state determination using SD or CV
Determining a current GV state based on a GV value associated with the user's glucose level, wherein the GV value indicates a standard deviation (SD) of glucose levels or a coefficient of variance (CV), wherein the CV corresponds to a variability of the user's glucose level.
Profile selection from user vectors
Receiving one or more user vectors for the user; identifying one of the plurality of optimization profiles based on the one or more user vectors.
Optimized pathway with vector adjustments and habit-index scoring
Identifying an optimized pathway based on the identified optimization profile, the current TIR state, and the current GV 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, or an exercise value; wherein the optimized pathway comprises a user vector change based on the current TIR state, the current GV state, and user attributes; wherein the optimized pathway is based on a habit index score of the user determined based on a cohort of users; and providing the optimized pathway to the user.
The claims cover a computer-implemented method/system where optimization profiles are selected using one or more user vectors and current glucose state is represented by a current TIR state and a current GV state. An optimized pathway is generated from the selected profile together with the current TIR/GV states, using adjustments to user vectors for medication, food, and exercise, further based on user attributes and a habit index score determined from a cohort of users, and the optimized pathway is provided to the user.
Stated Advantages
Provides an optimized pathway to the user.
Documented Applications
Managing glucose states of a user based on current TIR and GV states and providing an optimized pathway to the user.
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