Medication Dosing System with Biological Marker Monitoring
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Solution Overview
Problem
Current medication regimens often lack personalized accuracy, leading to challenges in adherence and effectiveness due to general guidelines that may not account for individual patient needs, resulting in missed doses and potential health risks.
Innovation Solution
A system that utilizes sensors to collect data on biological markers, compares this data to established baselines and circadian variations, and provides notifications for missed doses, ensuring timely medication administration and adherence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If general guidelines are used for medication regimens, then ease of operation is improved, but manufacturing precision deteriorates
Solution Approach 1:
The system performs preliminary monitoring of biological markers before establishing the medication regimen. Sensors continuously collect data on physiological parameters, and the processor analyzes this data to determine personalized dosing parameters in advance, creating a tailored regimen based on individual patient characteristics rather than general guidelines
Solution Approach 2:
The system implements continuous feedback through sensor monitoring of biological markers. The processor compares real-time physiological data against target ranges and automatically adjusts medication dosing parameters, creating a closed-loop system that adapts to individual patient responses and maintains personalized accuracy
2Manufacturing precision
If complex medication regimens are implemented, then manufacturing precision is improved, but object-generated harmful factors worsen
Solution Approach 1:
The system enables self-service through automated monitoring and adjustment. Sensors continuously track biological markers without manual intervention, the processor automatically analyzes data and determines dosing parameters, and the system generates alerts or adjustments without requiring patient comprehension or action, thereby eliminating the risk of missed doses despite complex regimens
Solution Approach 2:
The system replaces manual medication management with an automated electronic system. Instead of relying on patient memory and manual tracking, sensors, processors, and communication modules automatically monitor physiological parameters, calculate dosing requirements, and provide real-time guidance, substituting mechanical human behavior with reliable electronic automation
3Measurement precision
If continuous monitoring is implemented, then measurement precision is improved, but use of energy worsens
Solution Approach 1:
The system implements periodic monitoring rather than truly continuous monitoring. Sensors collect biological marker data at predetermined intervals or when specific conditions are met, allowing the system to maintain measurement precision for dosing decisions while reducing energy consumption by keeping sensors in low-power states between measurements
Solution Approach 2:
The system applies partial monitoring by focusing sensors on specific critical biological markers directly related to medication effectiveness and safety, rather than monitoring all possible physiological parameters. This selective approach maintains measurement precision for dosing decisions while minimizing energy consumption by limiting the scope and intensity of monitoring
Data Source
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AI summary
According to various embodiments, the method of dosing of a medication can comprises receiving sensor data from a sensor for a user, determining a state of a biological marker for the medication based on the sensor data, comparing the state of the biological marker with an expected state of the biological marker based upon a dose time of the medication, and providing a notification for indicating a result of the comparing.