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Systems and methods for optimizing insulin dosage

  • US 9,918,635 B2
  • Filed: 06/18/2010
  • Issued: 03/20/2018
  • Est. Priority Date: 12/23/2008
  • Status: Active Grant
First Claim
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1. A testing method suitable for a diabetic person to optimize an administered insulin dosage comprising:

  • providing a structured collection procedure from a server of a health care provider to a collection device configured to guide the diabetic person through the structured collection procedure and optimize the administered insulin dosage, wherein the collection device comprises a meter configured to measure one or more selected biomarkers, a processor disposed inside the meter and coupled to a memory, wherein the memory stores the structured collection procedure provided from the server, and software having instructions that when executed by the processor causes the processor to instruct the diabetic person to collect one or more sampling sets of biomarker data in accordance with the structured collection procedure, wherein the server is a central repository for a plurality of the structured collection procedures;

    executing the software on the collection device and according to instructions and timing provided by the structured collection procedure;

    collecting one or more sampling sets of biomarker data, wherein each of the one or more sampling sets comprises a plurality of sampling instances recorded over a collection period and each sampling instance of the plurality of sampling instances comprises an acceptable biomarker reading recorded upon compliance with one or more acceptance criterion that is applied to the one or more sampling sets of biomarker data, wherein the one or more acceptance criterion comprises one or more considerations selected from the group consisting of;

    a patient diet, fasting or eating regimen;

    a patient exercise regimen;

    a patient lifestyle;

    a patient sleep regimen;

    insulin dosage amounts; and

    timing of biomarker reading collection;

    wherein after each collection of the one or more sampling sets of biomarker data, said processor performs the processes of;

    determining a biomarker sampling parameter from the one or more sampling sets of biomarker data whereby only these biomarker data are considered which are in compliance with the one or more acceptance criterion;

    comparing the biomarker sampling parameter to a target biomarker range;

    calculating an insulin adjustment parameter associated with the biomarker sampling parameter in response to the biomarker sampling parameter falling outside the target biomarker range;

    adjusting an insulin dosage by an amount of the insulin adjustment parameter in response to the biomarker sampling parameter falling outside the target biomarker range and in response to the insulin dosage not exceeding maximum dosage;

    exiting the testing method in response to the adjusted insulin dosage being optimized as an optimized insulin dosage such that the optimized insulin dosage is administered as the administered insulin dosage, otherwise repeating with a next sampling set of the one or more sampling sets of biomarker data, the optimized insulin dosage being achieved when the one or more biomarker sampling parameters fall within the target biomarker range; and

    wherein the one or more acceptance criterion comprises an adherence criteria, and in response to the diabetic person failing to meet the adherence criteria, the processor tags the failing as an adherence event and informs the diabetic person via a display, then continues the testing method, wherein in response to a determination that a number of the adherence events in a sample period are obtained or a total number of the adherence events are reached in the testing method, the testing method is terminated;

    categorizing, via the processor, the adherence events into tiers of either a lower weighted adherence event in response to a determination that the adherence event will not cause an error in at least one acceptable biomarker reading, or a higher weighted adherence event in response to a determination that the adherence event will cause the error in the at least one acceptable biomarker reading, wherein the lower weighted adherence event is an event that is not weighted as heavily as the higher weighted adherence event that affects the one or more sampling sets of biomarker data;

    maintaining, by the health care provider, an electronic medical record for the diabetic person on the server; and

    generating a hardcopy report of results of the collection procedure for the diabetic person via a computer of the health care provider.

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