Subcutaneous outpatient management

1. A computer-implemented method executed on data processing hardware that causes the data processing hardware to perform operations comprising:

obtaining glucose data of a patient, the glucose data including glucose measurements of the patient and glucose times associated with the glucose measurements;

for a first scheduled glucose time interval associated with a corresponding adjustable time boundary that does not overlap with another time boundary associated with a second scheduled glucose time interval, aggregating the glucose measurements associated with the first scheduled glucose time interval based on the glucose times to determine a corresponding representative aggregate glucose measurement associated with the first scheduled glucose time interval;

determining a next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval based on the representative aggregate glucose measurement associated with the first scheduled glucose time interval that occurs immediately after the second scheduled glucose time interval; and

transmitting the next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval from the data processing hardware to a patient device, the patient device executing a mobile application configured to:

receive a number of carbohydrates consumed by the patient during the second scheduled glucose time interval;

determine a recommended meal bolus for the patient based on the number of carbohydrates consumed by the patient and the next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval; and

transmit the recommended meal bolus to an administration device in communication with the patient device, the administration device configured to automatically dial in a number of units of insulin for the recommended meal bolus and administer the number of units of insulin for the recommended meal bolus.

2. The method of claim 1 , wherein the operations further comprise receiving the first and second scheduled glucose time intervals from a healthcare provider computing device in communication with the data processing hardware.

3. The method of claim 1 , wherein the mobile application executing on the patient device is further configured to display the number of carbohydrates consumed by the patient during the second scheduled glucose time interval on the display of the patient device.

4. The method of claim 1 , wherein obtaining the glucose data comprises receiving the glucose data from a remote computing device in communication with the data processing hardware during a batch download process, the remote computing device executing a download program for downloading the glucose data from a glucose measurement device or a continuous glucose monitoring system associated with the patient.

5. The method of claim 1 , wherein obtaining the glucose data comprises receiving the glucose data from a glucose measurement device associated with the patient and in communication with the patient device.

6. The method of claim 1 , wherein obtaining the glucose data comprises receiving the glucose data from a continuous glucose monitoring system associated with the patient and in communication with the patient device.

7. The method of claim 1 , wherein the administration device comprises an insulin pump.

8. The method of claim 1 , wherein the administration device comprises a smart insulin pen.

9. The method of claim 1 , wherein the representative aggregate glucose measurement comprises a mean glucose value for the associated first scheduled glucose time interval.

10. The method of claim 1 , wherein the representative aggregate glucose measurement comprises a median glucose value for the associated first scheduled glucose time interval.

11. A system comprising:

data processing hardware; and

memory hardware in communication with the data processing hardware, the memory hardware storing instructions that when executed on the data processing hardware cause the data processing hardware to perform operations comprising:

obtaining glucose data of a patient, the glucose data including glucose measurements of the patient and glucose times associated with the glucose measurements;

for a first scheduled glucose time interval associated with a corresponding adjustable time boundary that does not overlap with another time boundary associated with a second scheduled glucose time interval, aggregating the glucose measurements associated with the first scheduled glucose time interval based on the glucose times to determine a corresponding representative aggregate glucose measurement associated with the first scheduled glucose time interval;

determining a next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval based on the representative aggregate glucose measurement associated with the first scheduled glucose time interval that occurs immediately after the second scheduled glucose time interval; and

transmitting the next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval from the data processing hardware to a patient device, the patient device executing a mobile application configured to:

receive a number of carbohydrates consumed by the patient during the second scheduled glucose time interval;

determine a recommended meal bolus for the patient based on the number of carbohydrates consumed by the patient and the next recommended carbohydrate-to-insulin ratio for the patient during the second scheduled glucose time interval; and

transmit the recommended meal bolus to an administration device in communication with the patient device, the administration device configured to automatically dial in a number of units of insulin for the recommended meal bolus and administer the number of units of insulin for the recommended meal bolus.

12. The system of claim 11 , wherein the operations further comprise receiving the first and second scheduled glucose time intervals from a healthcare provider computing device in communication with the data processing hardware.

13. The system of claim 11 , wherein the mobile application executing on the patient device is further configured to display the number of carbohydrates consumed by the patient during the second scheduled glucose time interval on the display of the patient device.

14. The system of claim 11 , wherein obtaining the glucose data comprises receiving the glucose data from a remote computing device in communication with the data processing hardware during a batch download process, the remote computing device executing a download program for downloading the glucose data from a glucose measurement device or a continuous glucose monitoring system associated with the patient.

15. The system of claim 11 , wherein obtaining the glucose data comprises receiving the glucose data from a glucose measurement device associated with the patient and in communication with the patient device.

16. The system of claim 11 , wherein obtaining the glucose data comprises receiving the glucose data from a continuous glucose monitoring system associated with the patient and in communication with the patient device.

17. The system of claim 11 , wherein the administration device comprises an insulin pump.

18. The system of claim 11 , wherein the administration device comprises a smart insulin pen.

19. The system of claim 11 , wherein the representative aggregate glucose measurement comprises a mean glucose value for the associated first scheduled glucose time interval.

20. The system of claim 11 , wherein the representative aggregate glucose measurement comprises a median glucose value for the associated first scheduled glucose time interval.