Subcutaneous outpatient management

Patent metadata

Field	Value
Publication number	US-2016117481-A1
Application number	US-201514922763-A
Country	US
Kind code	A1
Filing date	Oct 26, 2015
Priority date	Oct 27, 2014
Publication date	Apr 28, 2016
Grant date	—

Abstract

A method of administering insulin includes receiving subcutaneous information for a patient at a computing device and executing a subcutaneous outpatient program for determining recommended insulin dosages. The subcutaneous outpatient program includes obtaining blood glucose data of the patient from a glucometer in communication with the computing device, aggregating blood glucose measurements to determine a representative aggregate blood glucose measurement associated with at least one scheduled blood glucose time interval, and determining a next recommended insulin dosage for the patient based on the representative aggregate blood glucose measurement and the subcutaneous information. The method also includes transmitting the next recommended insulin dosage to a portable device associated with the patient. The portable device displays the next recommended insulin dosage.

First claim

What is claimed is:

1 . A method comprising:
receiving, at data processing hardware, subcutaneous information for a patient; executing, at the data processing hardware, a subcutaneous outpatient program for determining recommended insulin dosages, the subcutaneous outpatient program comprising:
obtaining, at the data processing hardware, blood glucose data of the patient from a glucometer in communication with the computing device, the blood glucose data including blood glucose measurements of the patient, blood glucose times associated with the blood glucose measurements, and insulin dosages administered by the patient and associated with the blood glucose measurements;
determining, by the data processing hardware, scheduled blood glucose time intervals associated with the blood glucose measurements based on the blood glucose times;
aggregating, by the data processing hardware, the blood glucose measurements associated with at least one of the scheduled blood glucose time intervals to determine a representative aggregate blood glucose measurement associated with the at least one scheduled blood glucose time interval;
determining, by the data processing hardware, a next recommended insulin dosage for the patient based on the representative aggregate blood glucose measurement and the subcutaneous information; and
transmitting the next recommended insulin dosage from the data processing hardware to a portable device associated with the patient, the portable device displaying the next recommended insulin dosage.

2 . The method of claim 1 , further comprising transmitting the subcutaneous outpatient program to an administration device in communication with the data processing hardware, the administration device comprising:
a doser; and an administration computing device in communication with the doser, the administration computing device, when executing the subcutaneous outpatient program, causing the doser to administer insulin specified by the subcutaneous outpatient program.

3 . The method of claim 1 , wherein obtaining the blood glucose data comprises one or more of:
receiving the blood 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 blood glucose data from the glucometer; receiving the blood glucose data from the glucometer upon measuring the blood glucose measurement; receiving the blood glucose data from a meter manufacturer computing device in communication with the data processing hardware during the batch download process, the meter manufacturer receiving the blood glucose data from the glucometer; or receiving the blood glucose data from a patient device in communication with the data processing hardware and the glucometer, the patient device receiving the blood glucose data from the glucometer.

4 . The method of claim 1 , further comprising:
aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a breakfast blood glucose time interval to determine a representative aggregate breakfast blood glucose measurement; aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a midsleep blood glucose time interval to determine a representative aggregate midsleep blood glucose measurement; selecting, by the data processing hardware, a governing blood glucose as a lesser one of the representative aggregate midsleep blood glucose measurement or the representative aggregate breakfast blood glucose measurement; determining, by the data processing hardware, an adjustment factor for adjusting a next recommended basal dosage based on the selected governing blood glucose measurement; obtaining, at the data processing hardware, a previous day recommended basal dosage; and determining, by the data processing hardware, the next recommended basal dosage by multiplying the adjustment factor times the previous day recommended basal dosage.

5 . The method of claim 1 , further comprising:
aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a lunch blood glucose time interval to determine a representative aggregate lunch blood glucose measurement; selecting, by the data processing hardware, a governing blood glucose as the representative aggregate lunch blood glucose measurement; determining, by the data processing hardware, an adjustment factor for adjusting a next recommended breakfast bolus based on the selected governing blood glucose measurement; obtaining, at the data processing hardware, a previous day recommended breakfast bolus; and determining, by the data processing hardware, the next recommended breakfast bolus by multiplying the adjustment factor times the previous day recommended breakfast bolus.

6 . The method of claim 1 , further comprising:
aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a dinner blood glucose time interval to determine a representative aggregate dinner blood glucose measurement; selecting, by the data processing hardware, a governing blood glucose as the representative aggregate dinner blood glucose measurement; determining, by the data processing hardware, an adjustment factor for adjusting a next recommended lunch bolus based on the selected governing blood glucose measurement; obtaining, at the data processing hardware, a previous day recommended lunch bolus; and determining, by the data processing hardware, the next recommended lunch bolus by multiplying the adjustment factor times the previous day recommended lunch bolus.

7 . The method of claim 1 , further comprising:
aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a bedtime blood glucose time interval to determine a representative aggregate bedtime blood glucose measurement; selecting, by the data processing hardware, a governing blood glucose as the representative aggregate bedtime blood glucose measurement; determining, by the data processing hardware, an adjustment factor for adjusting a next recommended dinner bolus based on the selected governing blood glucose measurement; obtaining, at the data processing hardware, a previous day recommended dinner bolus; and determining, by the data processing hardware, the next recommended dinner bolus by multiplying the adjustment factor times the previous day recommended dinner bolus.

8 . The method of claim 1 , further comprising:
aggregating, by the data processing hardware, one or more of the blood glucose measurements associated with a selected time interval to determine a representative aggregate blood glucose measurement associated with the selected time interval; selecting, by the data processing hardware, a governing blood glucose as the representative aggregate blood glucose measurement associated with the selected time interval; determining, by the data processing hardware, an adjustment factor for adjusting a next recommended carbohydrate-to-insulin ratio governed by the selected time interval based on the selected governing blood glucose measurement; obtaining, at the data processing hardware, a previous day recommended carbohydrate-to-insulin ratio governed by the selected time interval; and determining, by the data processing hardware, the next recommended carbohydrate-to-insulin ratio by multiplying the adjustment factor times the previous day recommended carbohydrate-to-insulin ratio.

9 . The method of claim 8 , wherein the selected time interval includes one of a lunch blood glucose time interval, a dinner

Assignees

• Aseko Inc

Inventors

• Booth Robert C
• Hebblewhite Harry

Classifications

• A61B5/0022 Primary

  Monitoring a patient using a global network, e.g. telephone networks, internet · CPC title

• A61B5/4839

  combined with drug delivery · CPC title

• G16H40/67

  for remote operation · CPC title

• A61B5/14503

  invasive, e.g. introduced into the body by a catheter or needle or using implanted sensors (A61B5/1459, A61B5/1464, A61B5/1473, A61B5/1482, A61B5/14865 take precedence) · CPC title

• G16H10/60

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