Intelligent Medication Delivery System Adaptive Dose Calculation
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Solution Overview
Problem
Current systems for administering and tracking medicine, particularly for chronic conditions like diabetes, lack effective automated solutions for dose tracking and calculation, leading to potential missed or incorrect doses.
Innovation Solution
An intelligent medicine administration system that includes a medicine injection pen device with electronic circuits and a mobile communication device, which together enable dose tracking, logging, and recommendation based on health and contextual data, using a software application with adaptive dose calculator and decision support modules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated dose tracking and calculation systems are implemented, then dose accuracy and reliability are improved, but device complexity increases
Solution Approach 1:
The patent introduces a mobile communication device as an intermediary between the injection pen device and the user/caregiver. The mobile device receives dose data from the pen, performs complex calculations using health and contextual data, and provides recommendations. This mediator handles the computational complexity while keeping the pen device itself relatively simple.
Solution Approach 2:
The system implements self-service through automated dose tracking and calculation. The injection pen device automatically generates dose data and transmits it without manual intervention. The mobile application automatically processes health data, contextual data, and dose data to generate recommendations, reducing the need for manual calculations by users.
2Measurement precision
If comprehensive health data and contextual data processing is implemented, then dose recommendation quality is improved, but data processing complexity increases
Solution Approach 1:
The patent segments the data processing function into distinct modules within the mobile application: a data aggregator that collects health data and contextual data from multiple sources, and a learning dose calculator that processes this segmented data. This modular approach manages complexity by dividing the comprehensive data processing task into manageable components.
Solution Approach 2:
The system dynamically adapts dose recommendations based on varying health data and contextual data. The learning dose calculator adjusts calculations based on user-specific patterns learned from historical data, allowing the processing complexity to adapt to the specific needs of each user rather than applying fixed complex algorithms to all cases.
3Adaptability or versatility
If adaptive dose calculation based on user-specific data is implemented, then personalized care is improved, but loss of time for data collection and processing increases
Solution Approach 1:
The system performs preliminary actions by pre-collecting and storing health data and contextual data in the mobile device before dose calculation is needed. The data aggregator continuously gathers this information, so when a dose recommendation is required, the processing can proceed more quickly using pre-assembled data rather than collecting everything from scratch at the moment of need.
Solution Approach 2:
The learning dose calculator uses feedback from previous dose outcomes and user responses to refine future calculations. By learning from historical data, the system reduces the amount of new data processing needed over time, as patterns are established and can be applied to similar situations without extensive re-analysis.
Data Source
AI summary
Systems, devices, and techniques are disclosed for administering and tracking medicine to patients and providing health management capabilities for patients and caregivers. In some aspects, a system includes an injection pen device including a dose setting mechanism, a dispensing mechanism, and an electronics unit to generate dose data associated with a dispensing event of a dose of the medicine dispensed from the injection pen device and time data associated with the dispensing event; a mobile device in wireless communication to receive and process the dose data; and a software application configured to determine a recommended dose based on health data and contextual data associated with a user of the injection pen device, the software application including a learning dose calculator module to adaptively calculate the recommended dose of the medicine based on time-relevant and circumstances-relevant data specific to the user of the injection pen device.