Real time management of data relating to physiological control of glucose levels

摘要

Continuous glucose monitoring (CGM) data and insulin delivery data are used to generate more reliable projected alarms related to a projected glucose levels. A memory stores endogenous data related to measurements of glucose level in a patient, and also stores exogenous data, such as insulin on board, both of which are used by a processor to create projected alarms. Profiles of CGM data are created for use in tuning patient-specific insulin data, such at basal rate, carb ratio, and insulin sensitivity. A processor searches for patterns in the data profiles and if found, recommended changes to patient-specific insulin data are provided to permit more accurate control over a patient's glucose levels.

主权项

1. An integrated glucose management system for tuning patient-specific insulin data, comprising:
a memory configured to record and store glucose measurement data representing measurements of physiological glucose levels, and to store exogenous data in a form of attributes tagged to the stored glucose measurement data; a user interface comprising a visual display and an input device configured to receive and communicate user input data and instructions; and a processor comprising computer-executable instructions to:
record multiple series of glucose measurement data into the memory during defined time periods;tag each of the recorded series of glucose measurement data with exogenous attributes including a profile name, wherein the name of the profile is selected to identify the data recording as belonging to a particular category of patient conditions;access the memory to retrieve a plurality of profiles having a same profile name;compare the retrieved plurality of profiles to detect a persistent pattern of undesirable measured glucose levels existing in the plurality of profiles;provide an alarm at the user interface if the persistent pattern is detected in the retrieved plurality of profiles; andprovide a recommended change to patient-specific insulin data as a result of the detected persistent pattern, and display the recommended change on the user interface;wherein the computer-executable instructions include an excess insulin manager configured to provide a plurality of alternative recommended changes to the patient-specific insulin data; and furtherwherein the excess insulin manager is further configured to prioritize a recommended increase in carbohydrate intake lower than recommended changes to insulin delivery.