Mobile Device Adjusts Medicament Dose for Diabetes
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Solution Overview
Problem
Patients undergoing regular or long-term drug treatment, such as those with type-2 diabetes, face challenges in monitoring their overall well-being and adhering to treatment regimens due to side effects like weight changes and increased susceptibility to other diseases, particularly when treatment options promote weight gain, necessitating a system that adjusts treatment based on patient health changes.
Innovation Solution
A mobile device and system that receives dose information, physiological data, and weight data to determine an adjusted medicament dose, incorporating measures of wellbeing, fitness, and bodyweight, and outputs the adjusted dose, while also allowing for side effect monitoring and social media sharing for motivational feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If treatment options that promote weight gain are used to treat type-2 diabetes, then diabetes management is improved, but patient wellbeing deteriorates due to weight gain side effects
Solution Approach 1:
The system dynamically adjusts the medicament dose based on real-time monitoring of patient responses and health metrics. The mobile device receives data from various sources (injection device, fitness tracker, balance, server) and automatically modifies the dose to optimize diabetes management while preventing harmful weight gain, making the treatment adaptable rather than static
Solution Approach 2:
The system implements continuous feedback loops where patient health data (weight, fitness metrics, wellbeing) is monitored and fed back to adjust the treatment regimen. The mobile device communicates with the server arrangement to receive updated dosing recommendations based on accumulated patient data, creating a closed-loop control system that responds to patient needs
2Adaptability or versatility
If a comprehensive monitoring system is implemented to track patient wellbeing, fitness, and bodyweight, then treatment personalization is improved, but device complexity increases
Solution Approach 1:
The mobile device serves multiple functions: it acts as a communication interface with the injection device, a data collection platform for fitness and weight metrics, a processing unit for determining adjusted doses, and a user interface for displaying information. By consolidating these diverse functions into a single universal device, the system achieves high adaptability without proportionally increasing complexity
Solution Approach 2:
The server arrangement acts as an intermediary between the mobile device and the complex dosing calculation algorithms. The mobile device collects and transmits data to the server, which processes the information and returns dosing recommendations, distributing the computational complexity across multiple components rather than concentrating it all in the mobile device
Data Source
AI summary
A mobile device including a memory and a processing arrangement is described. The memory stores instructions which, when executed by the processing arrangement, cause the device to receive dose information including a previous dose ejected by an injection device; determine a measure of wellbeing for a patient based on received wellbeing data; determine at least one of a measure of fitness for the patient based on physiological data received from fitness tracking device and a measure of bodyweight for the patient based on weight data received from a balance; determine an adjusted medicament dose based at least in part on the dose information, the measure of wellbeing, and the at least one of the measure of fitness and the measure of bodyweight; and output the adjusted medicament dose.