Dynamic Dosage Adjustment via Patient Feedback
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Solution Overview
Problem
Current medical treatments deliver uniform drug dosages, failing to account for individual variability in drug efficacy and tolerance, leading to reduced effectiveness and increased risk of adverse effects over time.
Innovation Solution
A system using electronic interfaces and machine-learning algorithms to assess patient data, including surveys and biometric feedback, to adjust medication dosages dynamically, optimizing drug efficacy while minimizing adverse effects and deferring tolerance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If uniform drug dosages are delivered to all patients, then clinical studies can be simplified and standardized, but individual variability in drug efficacy and tolerance is not accounted for, leading to reduced effectiveness and increased risk of adverse effects over time
Solution Approach 1:
The patent applies local quality by transitioning from uniform dosing to personalized dosing regimens tailored to each patient's genetic profile, metabolic characteristics, and response patterns. Each patient receives a customized dosage schedule that optimizes efficacy while minimizing adverse effects specific to their individual biology.
Solution Approach 2:
The patent implements dynamics by using adaptive dosing algorithms that continuously adjust medication dosages based on real-time patient feedback, wearable device data, and changing physiological states. This dynamic adjustment allows the dosing regimen to evolve with the patient's needs over time, maintaining optimal efficacy.
2Duration of action of moving object
If fixed dosing schedules are used, then compliance can be simplified and monitoring reduced, but tolerance develops faster and duration of efficacy is shortened
Solution Approach 1:
The patent applies periodic action by implementing dosing schedules that vary the timing, frequency, and amount of medication administration in structured cycles. These periodic variations prevent tolerance development while maintaining therapeutic efficacy, extending the duration of drug effectiveness.
Solution Approach 2:
The patent implements feedback mechanisms where patient responses, biomarker levels, and wearable device data continuously inform dosing adjustments. This closed-loop feedback system optimizes the duration of drug efficacy by adjusting dosages before tolerance develops or effectiveness diminishes.
3Object-affected harmful factors
If machine-learning algorithms are used to personalize dosing, then drug efficacy is optimized and adverse effects minimized, but system complexity and data processing requirements increase
Solution Approach 1:
The patent uses electronic interfaces, wearable devices, and computational algorithms as intermediaries to bridge the gap between complex machine-learning dosing optimization and simple patient execution. These intermediaries handle the complexity of data collection, analysis, and dosing calculation, presenting simplified instructions to patients while minimizing adverse effects through optimized dosing.
4Measurement precision
If frequent patient monitoring is implemented, then dosing accuracy is improved and efficacy extended, but patient burden and compliance difficulty increase
Solution Approach 1:
The patent implements self-service by enabling patients to automatically track and report their own symptoms, medication intake, and physiological data through mobile applications and wearable devices. This automated self-monitoring improves measurement precision without significantly increasing patient burden, as the system guides patients through simple daily tasks.
Data Source
AI summary
A method for electronically adjusting a dosage pattern of a patient undergoing a medical regimen by providing the patient with an electronic interface to obtain survey results of a health survey to provide the patient with a dosage plan having a patient dosage amount and instructing the patient to follow the patient dosage plan over a second period of time to extend a duration of efficacy of the medical substance and maintain a safety profile of the medical substance.