Automated Diabetes Data Management via RFID Wireless Transmission
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current diabetes management systems face challenges in reliably and comprehensively recording and sharing patient data, such as blood glucose levels and insulin intake, between patients and healthcare stakeholders, leading to incomplete and inaccurate information, which hinders real-time management and leads to inefficiencies in resource allocation and reimbursement models.
Innovation Solution
A disease management system that automates the sharing of data using radio frequency identification (RFID) tags and wireless communication technologies, allowing devices like insulin delivery syringes and blood glucose meters to transmit data to a repository without user intervention, ensuring real-time and comprehensive data collection and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual recording methods (notebooks, telephone, computer interfaces) are used to share diabetes data between patients and healthcare providers, then data can be transmitted, but the data is incomplete, inaccurate, and not reliably recorded in a cohesive manner
Solution Approach 1:
The system enables automated self-service data transmission where the blood glucose meter automatically transmits test results to the healthcare provider's system without requiring manual data entry or patient intervention. This eliminates human error in recording and ensures complete, accurate data capture.
Solution Approach 2:
The patent replaces manual mechanical recording methods (notebooks, physical transfer of data) with electronic automated transmission. The blood glucose meter directly communicates with the healthcare provider's system through electronic interfaces, substituting manual processes with automated electronic data exchange.
2Ease of operation
If patients manually record and share diabetes data through telephone or computer interfaces, then some data transmission is achieved, but the process is inconvenient and requires patient acquisition of specialized equipment and software
Solution Approach 1:
The system provides a universal communication solution where the blood glucose meter integrates multiple functions including data collection, automated transmission, and compatibility with various healthcare provider systems. This eliminates the need for patients to acquire separate communication equipment or software.
Solution Approach 2:
The patent extracts the communication function from separate patient equipment and integrates it directly into the blood glucose meter. This eliminates the need for patients to maintain separate communication devices or software interfaces, simplifying the overall system.
3Loss of information
If conventional communication interfaces are used for data transmission, then data can be shared, but patients must acquire specialized modems and install software, increasing system complexity
Solution Approach 1:
The system merges the communication interface directly into the blood glucose meter, combining data collection and transmission functions in a single device. This eliminates the need for separate modems, software installations, and multiple devices, reducing overall system complexity while ensuring complete data transmission.
4Productivity
If data is not collected and managed in a comprehensive manner, then system simplicity is maintained, but healthcare team members cannot identify teachable moments or respond in real-time
Solution Approach 1:
The system implements automated feedback mechanisms where complete diabetes management data is continuously transmitted to the healthcare provider's system. This enables real-time monitoring and analysis, allowing healthcare providers to identify teachable moments and respond promptly to patient needs based on comprehensive data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This solution enhances patient compliance and data accuracy, providing stakeholders with comprehensive information for better diabetes management, optimizing resource allocation, and implementing a pay-for-results reimbursement model to reduce waste and improve cost-effectiveness.
Implementation Method 1
a radio frequency identification (RFid) tag comprising medication delivery information and a communication device comprising an RFid interface circuit configured to activate the RFid tag to transmit the medication delivery information
Data Source
AI summary
Methods, devices and a system for disease management are provided that employ diagnostic testing devices (e.g., blood glucose meters) and medication delivery devices (e.g., insulin delivery devices) for providing data to a repository in real-time and automatically. Repository data can be analyzed to determine such information as actual test strip use, patient health parameters to outside prescribed ranges, testing and medication delivery compliance, patient profiles or stakeholders to receive promotional items or incentives, and so on. Connected meters and medication delivery devices and repository data analysis are also employed to associate a diagnostic test to a mealtime based on timing of a therapeutic intervention performed by an individual.