Systems and methods for CGM-based bolus calculator for display and for provision to medicament delivery devices

Patent metadata

Field	Value
Publication number	US-11222724-B2
Application number	US-201715699989-A
Country	US
Kind code	B2
Filing date	Sep 8, 2017
Priority date	Sep 9, 2016
Publication date	Jan 11, 2022
Grant date	Jan 11, 2022

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.

First claim

What is claimed is:

1. A method for enabling health care provider (HCP) set up of a bolus calculator, comprising:
upon login by an HCP to a server using an HCP device associated with the HCP, displaying at the HCP device, or transmitting from the server to the HCP device for display at the HCP device, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters;
receiving, at the server from the HCP device, data provided by the HCP in the fillable form, the data corresponding to the one or more bolus calculator parameters;
upon login by a patient to the server, transmitting data, at the server, to a device associated with the patient, the transmitted data based on the received data, where the transmitted data corresponds to the one or more bolus calculator parameters in a format suitable for configuration of the bolus calculator executing on the device, wherein the one or more bolus calculator parameters are used by the device to configure the bolus calculator at the device, the bolus calculator used by the device to calculate a bolus value based on input to the bolus calculator that is then processed by the bolus calculator, configured according to the one or more bolus calculator parameters, to calculate the bolus value;
generating estimated glucose concentration values for a future time period based on one or more real-time glucose concentration values measured by a continuous glucose monitor associated with the patient by utilizing computational intelligence including one or more of neural network-based mapping, fuzzy logic based pattern matching, or genetic-algorithms based pattern matching to extrapolate forward the estimated glucose concentration values for the future time period;
determining or detecting, in real-time, a bolus calculator parameter change triggering event based on the estimated glucose concentration values for the future time period indicating a clinical risk alert, wherein the clinical risk alert is addressable by a change in the one or more bolus calculator parameters;
based on the bolus calculator parameter change triggering event, automatically determining modified bolus calculator parameters; and
at least one of transmitting a notification to the HCP about the modified bolus calculator parameter change triggering event or transmitting the modified bolus calculator parameters to the device.

2. The method of claim 1 , wherein the determining or detecting comprises determining or detecting multiple bolus calculator parameter change triggering events including the bolus calculator parameter change triggering event, and further comprising prioritizing or ranking the multiple bolus calculator parameter change triggering events before transmitting the notification to the HCP.

3. The method of claim 2 , further comprising transmitting a subset of the prioritized or ranked bolus calculator parameter change triggering events to the HCP, the subset including the bolus calculator parameter change triggering event.

4. The method of claim 1 , wherein the bolus calculator parameter change triggering event is further in response to a detected pattern of the one or more real-time glucose concentration values comprising at least one of nighttime lows or post-prandial highs.

5. The method of claim 1 , wherein the bolus calculator parameter change triggering event is based on an atypical glucose response.

6. The method of claim 1 , further comprising receiving a modification to the one or more bolus calculator parameters in response to the notification to the HCP, and transmitting the modification to the device associated with the patient.

7. The method of claim 6 , wherein the modification adjusts a basal rate or the at least one of the one or more bolus calculator parameters.

8. The method of claim 1 , wherein the bolus calculator parameter change triggering event is further in response to detection of at least occasional departures in one or more actual bolus values administered as compared to the one or more bolus value calculations.

9. The method of claim 8 , wherein the departures are of the same sign and value, and wherein the departure values are within a common range.

10. A method for enabling health care provider (HCP) set up of a bolus calculator, comprising:
upon login by an HCP to a server using an HCP device associated with the HCP, displaying at the HCP device, or transmitting from the server to the HCP device for display at the HCP device, a fillable form, the fillable form including one or more fields for entry of one or more bolus calculator parameters;
receiving, at the server from the HCP device, data provided by the HCP in the fillable form, the data corresponding to the one or more bolus calculator parameters;
upon login by a patient to the server, transmitting data, at the server, to a device associated with the patient, the transmitted data based on the received data, wherein the transmitted data corresponds to the one or more bolus calculator parameters in a format suitable for configuration of the bolus calculator executing on the device, wherein the one or more bolus calculator parameters are used by the device to configure the bolus calculator at the device, the bolus calculator used by the device to calculate a bolus value based on input to the bolus calculator that is then processed by the bolus calculator, configured according to the one or more bolus calculator parameters, to calculate the bolus value;
generating estimated glucose concentration values for a future time period based on one or more real-time glucose concentration values measured by a continuous glucose monitor associated with the patient by utilizing computational intelligence including one or more of neural network-based mapping, fuzzy logic based pattern matching, or genetic-algorithms based pattern matching to extrapolate forward the estimated glucose concentration values for the future time period;
determining or detecting, in real-time, a bolus calculator parameter change triggering event based on the estimated glucose concentration values for the future time period indicating a clinical risk alert, wherein the clinical risk alert is addressable by a change in the one or more bolus calculator parameters;
based on the bolus calculator parameter change triggering event, automatically determining modified bolus calculator parameters; and
on the device associated with the patient, receiving an indication of modification to the one or more bolus calculator parameters based on the modified bolus calculator parameters, and displaying an approval prompt on a user interface of the device to determine whether the patient approves the modification to the one or more bolus calculator parameters, and upon acceptance of the approval prompt, automatically modifying the one or more bolus calculator parameters based on the modification.

11. The method of claim 10 , wherein the one or more bolus calculator parameters entered by the HCP are specific to a range of time within a day, or are specific to weekdays versus weekends.

12. The method of claim 10 , wherein the form is displayed to the HCP with pre-populated data obtained from user account data or from data associated with a medical device.

13. The method of claim 1 , wherein the input to the bolus calculator comprises one or more values received at the device from one or more sensors or input mechanisms different from the HCP.

14. The method of claim 10 , wherein the input to the bolus calculator comprises one or more values received at the device from one or more sensors or input mechanisms different from the HCP.

1

Assignees

• Dexcom Inc

Inventors

• Davis Anna Leigh
• Belliveau Scott M
• Cabrera Jr Esteban
• Constantin Alexandra Elena
• Draeger Rian
• Galuardi Peter
• Hampapuram Hari
• Johnson Matthew Lawrence
• Kamath Apurv Ullas
• Koehler Katherine Yerre
• Mahalingam Aarthi
• Morris Gary A
• Pupa Philip Thomas
• Simpson Peter C
• Smith Brian Christopher
• Walker Tomas C

Classifications

• G16H40/20

  for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms · CPC title

• G16H40/63 Primary

  for local operation · CPC title

• G16H10/60

  for patient-specific data, e.g. for electronic patient records · CPC title

• G16H10/20

  for electronic clinical trials or questionnaires · CPC title

• G06F21/6245

  Protecting personal data, e.g. for financial or medical purposes · CPC title