Systems and methods for cgm-based bolus calculator for display and for provision to medicament delivery devices
Abstract
Disclosed are systems and methods for secure and seamless set up and modification of bolus calculator parameters for a bolus calculator tool by a health care provider (HCP). In one aspect, a method for enabling HCP set up of a bolus calculator includes providing a server accessible by both an HCP and a patient; upon login by the HCP, displaying, or transmitting for display, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters; receiving data from the fillable form, the data corresponding to one or more bolus calculator parameters; and upon login by the patient, transmitting data to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to one or more of the bolus calculator parameters in a format suitable for entry to a bolus calculator.
Claims
exact text as granted — not AI-modified1 - 20 . (canceled)
21 . A server, comprising:
a memory comprising executable instructions; a processor in data communication with the memory and configured to execute the instructions to cause the server to:
store calculated bolus values provided by a bolus calculator;
detect at least one of a pattern of user modifications to the calculated bolus values or one or more departures in delivered insulin boluses relative to the calculated bolus values;
determine a difference between the calculated bolus values and the modified bolus values associated with the at least one of the pattern of user modifications or the delivered insulin boluses;
identify a patient activity to reduce the difference; and
provide a notification recommending the patient activity to reduce the difference.
22 . The server of claim 21 , wherein the processor is configured to cause the server to transmit an indication of the patient activity to a health care professional for approval.
23 . The server of claim 21 , wherein the identifying of the patient activity is based on data from an external software application, user input, or a continuous glucose monitoring system.
24 . The server of claim 23 , wherein the processor is further configured to cause the server to authenticate or validate the external software application or the data from the external software application prior to use in the identifying of the patient activity.
25 . The server of claim 21 , wherein the identifying of the patient activity is based on one or more of a carbohydrate count, fat intake, protein intake, meal size, insulin-to-carb ratio, glucose target, glucose threshold, insulin action time, and glucose trend.
26 . The server of claim 21 , wherein the identifying of the patient activity is based on patient historical data.
27 . The server of claim 21 , wherein the patient activity corresponds to a patient sleep schedule.
28 . The server of claim 21 , wherein the patient activity corresponds to a patient exercise schedule.
29 . The server of claim 21 , wherein the patient activity corresponds to a patient diet.
30 . The server of claim 21 , wherein the processor is configured to cause the server to identify a modification to a parameter or setting of the bolus calculator to supplement the patient activity to reduce the difference.
31 . A method for bolus management, the method comprising:
storing calculated bolus values provided by a bolus calculator; detecting at least one of a pattern of user modifications to the calculated bolus values or one or more departures in delivered insulin boluses relative to the calculated bolus values; determining a difference between the calculated bolus values and the modified bolus values associated with the at least one of the pattern of user modifications or the delivered insulin boluses; identifying a patient activity to reduce the difference; and providing a notification recommending the patient activity to reduce the difference.
32 . The method of claim 31 , further comprising transmitting an indication of the patient activity to a health care professional for approval.
33 . The method of claim 31 , wherein the identifying of the patient activity is based on data from an external software application, user entry, or a continuous glucose monitoring system.
34 . The method of claim 33 , further comprising authenticating or validating the external software application or the data from the external software application prior to use in the identifying of the patient activity.
35 . The method of claim 31 , wherein the identifying of the patient activity is based on one or more of a carbohydrate count, fat intake, protein intake, meal size, insulin-to-carb ratio, glucose target, glucose threshold, insulin action time, and glucose trend.
36 . The method of claim 31 , wherein the identifying of the patient activity is based on patient historical data.
37 . The method of claim 31 , wherein the patient activity corresponds to a patient sleep schedule.
38 . The method of claim 31 , wherein the patient activity corresponds to a patient exercise schedule.
39 . The method of claim 31 , wherein the patient activity corresponds to a patient diet.
40 . The method of claim 31 , further comprising identifying a modification to a parameter or setting of the bolus calculator to supplement the patient activity to reduce the difference.Join the waitlist — get patent alerts
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