Glucose Event Pattern Presentation for Medical Devices
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Solution Overview
Problem
Physicians face challenges in interpreting and incorporating the vast amount of data from continuous glucose monitoring in diabetic patients, leading to a burden in adapting this information for improved patient outcomes due to overwhelming and difficult-to-parse automated reports.
Innovation Solution
A system and method for generating and presenting prioritized event patterns in a medical device, including an infusion device and computing device, which identifies, prioritizes, filters, and displays event patterns based on measurement data to provide a graphical user interface with pattern guidance displays, facilitating intuitive interpretation and application of data for improved glycemic control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If automated reports are generated based on continuous monitoring data, then the quantity of information provided to physicians is improved, but the ease of operation and interpretability deteriorates due to overwhelming and difficult-to-parse reports
Solution Approach 1:
The patent segments the continuous monitoring data into distinct event patterns (such as high glucose events, low glucose events, and variability events) that occur during specific monitoring periods (morning, afternoon, evening). This segmentation transforms the overwhelming continuous data stream into discrete, manageable categories that physicians can easily interpret while retaining comprehensive information about patient status.
2Reliability
If comprehensive continuous monitoring data is collected, then the reliability of patient assessment is improved, but the device complexity and data processing requirements worsen
Solution Approach 1:
The system performs preliminary processing of continuous monitoring data by automatically identifying and categorizing event patterns during specific monitoring periods before presenting the information to physicians. This preliminary action of pre-processing and organizing data into meaningful patterns reduces the complexity of subsequent analysis while maintaining the reliability of patient assessment through comprehensive data collection.
Data Source
AI summary
Medical devices and related patient management systems and methods are provided. A method of presenting information pertaining to operation of a medical device involves obtaining historical glucose measurement data for a patient from a database, identifying, based on the historical glucose measurement data, a first set of event patterns within respective ones of a plurality of monitoring periods, obtaining an adjusted set of glucose measurement data determined based on the historical glucose measurement data and an uncertainty metric associated with the historical glucose measurement data, identifying, based on the adjusted set of glucose measurement data, one or more event patterns within respective ones of the plurality of monitoring periods, and generating a graphical user interface display comprising an event detection region based at least in part on the first plurality and the one or more sets of event patterns.