GlytApp Smartphone Insulin Dosage Calculation System
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Solution Overview
Problem
Current smartphone apps for diabetic patients lack comprehensive features to manage glycemic control outside hospital settings, failing to provide personalized insulin dosage recommendations based on extensive food databases, patient-specific carbohydrate intake, and various physiological factors.
Innovation Solution
The GlytApp, a smartphone application that communicates with a remote computer system to calculate and recommend optimal insulin dosages by integrating blood glucose readings, meal types, physical activity, emotional stress, and other factors, using a unique Patient ID for secure communication and storing past data for personalized suggestions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a remote computer system with extensive food database and patient-specific data storage is implemented, then insulin dosage recommendation accuracy is improved, but device complexity and implementation cost increase
Solution Approach 1:
The system is divided into two segments: a remote computer system that maintains the extensive food database and patient-specific historical data, and a smartphone application that performs real-time calculations. This segmentation allows the complex data storage and management functions to be separated from the real-time computation functions, improving both accuracy and usability.
Solution Approach 2:
The smartphone application serves as an intermediary between the patient and the remote computer system. It communicates with the remote system to obtain personalized parameters and food database information, then performs local real-time calculations for insulin dosage recommendations, reducing the need for continuous remote system involvement.
2Reliability
If real-time communication between smartphone and remote computer is implemented, then glycemic control monitoring is improved, but use of energy and data communication requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-calculating and storing personalized parameters (such as insulin sensitivity factors and carbohydrate ratios) in the smartphone application during initial setup or updates. This allows the smartphone to perform fast local calculations without requiring continuous real-time communication with the remote computer system, thereby reducing energy consumption while maintaining reliable monitoring.
3Measurement precision
If comprehensive patient data collection including emotional stress and physical activity is implemented, then personalized insulin dosage accuracy is improved, but ease of operation decreases
Solution Approach 1:
The system incorporates self-service features where the smartphone application automatically tracks and records certain parameters such as physical activity levels and other physiological data without requiring manual patient input. The patient only needs to provide essential information, while the system automatically collects and processes additional data, maintaining accuracy while improving ease of operation.
Data Source
AI summary
A glycemic control system includes a physician processor, remote processor, and a portable telephone having a data input mechanism, a display, and an internal processor for bi-directional communication with the physician's processor and the remote processor. A patient inputs data to the internal processor responsive to input from the physician's processor and then transmits the information to the remote processor where an optimized number of units to be administered is sent back and displayed on the portable telephone.