GLYCEMIC IMPACT PREDICTION FOR IMPROVING DIABETES MANAGEMENT

• Main Authors: KAMATH, Apurv U, PICKUS, Sarah Kate, JEPSON, Lauren H, ACCIAROLI, Giada, DOWD, Robert J, CRAWFORD, Margaret A, DERDZINSKI, Mark
• Format: Patent
• Language: English; French; German
• Published: 04.09.2024
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

Glucose level measurements and additional data regarding a user are obtained over time, such as from a wearable glucose monitoring device being worn by the user. This additional data identifies events or conditions that may affect glucose of the user, such as physical activity engaged in by the user. A glucose prediction system analyzes, for example, activity data of the user and determines when a bout of physical activity occurs. The glucose prediction system predicts what the glucose measurements of the user would have been had the physical activity not occurred, and takes various actions based on the predicted glucose measurements (e.g., provides feedback to the user indicating what their glucose would have been had they not engaged in the physical activity).