Information Processing Apparatus for HbA1c Estimation via Calibration Curves
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Solution Overview
Problem
Current methods for managing blood glucose levels in diabetes patients, particularly in estimating glycohemoglobin (HbA1c) levels, lack accuracy and efficiency, as they require distinct measurement principles and are not effectively integrated with continuous glucose monitoring systems.
Innovation Solution
An information processing apparatus that communicates with a user terminal to accurately acquire and provide HbA1c concentrations by using calibration curve data, updating inherent calibration curves based on measured glucose values to ensure precise metabolic result evaluation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If HbA1c concentration is measured by using a distinct measurement principle from blood sugar level measurement, then measurement accuracy of HbA1c is improved, but measurement efficiency and integration with continuous glucose monitoring is worsened
Solution Approach 1:
The patent uses an information processing apparatus as an intermediary that receives blood sugar level data from continuous glucose monitoring systems, stores it, and calculates HbA1c concentrations based on established relationships between average blood sugar levels and HbA1c. This mediator enables HbA1c estimation without requiring separate measurement processes, thus maintaining measurement accuracy while improving efficiency and integration.
Solution Approach 2:
The information processing apparatus performs multiple functions: it stores blood sugar level data from CGM systems, calculates average blood sugar levels, estimates HbA1c concentrations, and transmits results to user terminals. By making the system multi-functional, the patent eliminates the need for separate HbA1c measurement processes while maintaining accuracy through computational methods.
2Measurement precision
If calibration curve data is updated frequently to improve accuracy, then HbA1c estimation precision is improved, but system complexity and data processing requirements are worsened
Solution Approach 1:
The system performs preliminary actions by continuously storing blood sugar level data and calculating average values over time periods. This preliminary data preparation enables accurate HbA1c estimation without requiring complex real-time processing during the actual estimation, thus improving precision while managing system complexity through advance computation.
Solution Approach 2:
The system implements feedback mechanisms where HbA1c estimation results are transmitted to user terminals and can be used to refine and update calibration curve data. This feedback loop allows the system to improve precision over time through iterative refinement while maintaining manageable complexity by using established update procedures.
Data Source
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AI summary
Disclosed is an information processing apparatus capable of communicating with a user terminal which acquires a first index value for reflecting a state of a first biological component of a user and evaluating a metabolic result of the first biological component in a certain period of time on the basis of the first biological component and which provides the acquired first index value to the user, wherein calibration curve data is delivered to the user terminal in order to use the calibration curve data for acquiring the first index value.