Handheld Diabetes Device Memory Segmentation for Updatable Test Criteria
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Solution Overview
Problem
Current diabetes management devices lack an efficient method to aggregate, manipulate, manage, and communicate diagnostic and prescriptive data, making it difficult for patients to effectively monitor and regulate their blood glucose levels, leading to potential complications.
Innovation Solution
A handheld diabetes management device with a blood glucose management engine, memory, and processor module that performs structured blood glucose tests by selectively executing firmware for entry, adherence, and exit criteria stored in modifiable memory, allowing for improved data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blood glucose tests are performed manually with handwriting in a chart, then patients can track their blood glucose levels, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent replaces the mechanical system of manual handwriting and chart recording with an automated electronic data collection and management system. The handheld device automatically captures blood glucose measurements and manages data electronically, eliminating the need for manual transcription and reducing errors associated with handwriting.
Solution Approach 2:
The device enables patients to independently perform structured blood glucose tests and automatically manage their own data without requiring manual intervention for data transfer or analysis. The system self-manages data collection, storage, and preliminary analysis, reducing the time and effort required from patients.
2Reliability
If structured blood glucose tests are performed with multiple measurements per day, then diagnostic information is improved, but the complexity of data management increases
Solution Approach 1:
The patent segments the data management process into distinct functional modules within the handheld device, including separate components for data collection, storage, analysis, and communication. This modular segmentation simplifies the overall complexity by organizing multiple measurements and related data into manageable, standardized segments that can be processed systematically.
Solution Approach 2:
The handheld device is designed with universal data management capabilities that can handle multiple types of blood glucose measurements, patient demographics, and diagnostic criteria through a single integrated system. This multi-functionality reduces complexity by providing a unified interface and processing mechanism for diverse data types rather than requiring separate systems for each function.
3Stability of the object's composition
If firmware is stored in non-modifiable memory, then system stability is improved, but updatability of test criteria is limited
Solution Approach 1:
The patent segments the memory system into distinct portions: non-modifiable memory for storing critical firmware to ensure system stability, and modifiable memory for storing updatable test criteria and patient data. This segmentation allows the firmware to remain stable while enabling flexibility in updating diagnostic parameters and test protocols without compromising system integrity.
Solution Approach 2:
The patent extracts the test criteria and diagnostic parameters from the immutable firmware and places them in separate modifiable memory storage. This extraction allows the core firmware to remain stable and certified while enabling independent updates of test criteria, adherence rules, and exit criteria without requiring firmware re-certification.
4Loss of information
If patients manually record and analyze blood glucose data, then basic monitoring is achieved, but effective regulation and communication of diagnostic data is difficult
Solution Approach 1:
The patent replaces manual data recording and analysis with automated electronic data management, processing, and communication systems. The handheld device automatically captures, stores, and analyzes blood glucose measurements, and provides electronic communication capabilities for sharing diagnostic data with healthcare providers, eliminating the inefficiencies of manual methods.
Solution Approach 2:
The device incorporates automated feedback mechanisms that analyze blood glucose data against structured test criteria and provide real-time guidance to patients. The system automatically compares measurements to target ranges, identifies adherence issues, and communicates results, reducing information loss and improving the ease of operation compared to manual analysis.
Data Source
AI summary
A method of improving updatability of entry, adherence, and exit criteria stored in memory of a handheld diabetes management device, the method includes: providing the handheld diabetes management device with a blood glucose (bG) measurement engine that measures a bG level in a sample of blood of a user and that generates sample data indicative of the bG level; providing the handheld diabetes management device with the memory and a touchscreen display; providing the handheld diabetes management device with a processor module that is in communication with the bG measurement engine, the touchscreen display, and the memory; storing firmware that is executable by the processor module for performing operations to carry out a structured bG test in a non-modifiable portion of the memory; and storing the entry, adherence, and exit criteria in a modifiable portion of the memory.