Systems and methods for analysis of insulin regimen adherence data

A technology for insulin, regimens, applied in the direction of patient-specific data, drugs or prescriptions, medical equipment, etc.

Inactive Publication Date: 2019-07-19
NOVO NORDISK AS
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, as previously mentioned, user behavior does not always follow expectations, and there may be pitfalls associated with the desired use for a reference time, and as also mentioned, there may be issues related to using only calendar days to Defects Associated with Metrics for Establishing Baseline Compliance

Method used

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  • Systems and methods for analysis of insulin regimen adherence data
  • Systems and methods for analysis of insulin regimen adherence data
  • Systems and methods for analysis of insulin regimen adherence data

Examples

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example 1

[0190] Example 1: Using Autonomic Glucose Measurements to Identify and Classify Metabolic Events as Adhering to Insulin Regimen or non-adherence to insulin regimen . In some embodiments, second data set 240 comprising a plurality of glucose measurements is obtained autonomously. In this example, in addition to autonomic glucose measurements, insulin administration events are obtained in the form of insulin medication records from one or more insulin pens and / or pumps 104 used by the subject to apply the prescribed insulin regimen. These insulin medication records can be in any format, and in fact can be spread across multiple files or data structures. As such, in some embodiments, the present disclosure takes advantage of recent advances in insulin administration pens, which have become "smart" in the sense that they can remember the timing and amount of insulin medication administered in the past. One example of such an insulin pen 104 is the NovoPen 5. Such pens assist...

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Abstract

The present invention provides systems and methods for evaluating insulin medicament dosage regimen adherence by a subject. A description of metabolic events the subject engaged in is obtained. Each event comprises a timestamp and a classification that is one of insulin regimen adherent and insulin regimen nonadherent. Events are binned into consecutive time windows on the basis of time to obtaina plurality of subsets. Adherence values are computed. Each adherence value is for a subset and is computed by dividing the insulin regimen adherent events by the total number of events in the subset.Adherence values are combined into a composite value by a process that comprises downweighting a first adherence value, representing a first time window, with respect to a second adherence value, representing a second time window, when the first time window occurs in time before the second time window. The composite value is communicated as a single representation.

Description

technical field [0001] The present disclosure generally relates to systems and methods for assisting patients and healthcare practitioners in monitoring compliance with prescribed insulin drug dosing regimens by providing a single representation or a system indicating overall compliance with such regimens. To express. Background technique [0002] Type 2 diabetes is characterized by progressive disruption of normal physiological insulin secretion. In healthy individuals, basal insulin secretion by pancreatic beta cells occurs continuously to maintain steady glucose levels over extended periods between meals. And in healthy individuals there is prandial secretion, where insulin is released rapidly in an initial first phase spike in response to a meal, followed by a prolonged insulin secretion that returns to basal levels after 2-3 hours. [0003] Insulin is a hormone that binds to the insulin receptor to lower blood sugar by promoting the cellular uptake of glucose, amino a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H20/10G16H50/20
CPCG16H20/17G16H40/67G16H50/50G16H10/60G16H50/20
Inventor H.本特松T.B.阿拉多蒂尔P.布罗克梅尔
Owner NOVO NORDISK AS
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