Infusion Pump Control for Pharmacokinetic Profile Matching
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing infusion systems are incapable of continuously adjusting the flow rate of substance administration based on real-time pharmacokinetic models to replicate the desired pharmacokinetic profiles across different routes of administration, leading to suboptimal therapeutic effects and increased side effects.
Innovation Solution
A system and method that utilizes a real-time dynamic calculation module to control infusion pumps, adjusting the flow rate of substances based on compartmental models and patient-specific data to emulate the pharmacokinetic profiles of different administration routes, such as intranasal or oral, through intravenous delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a fixed flow rate infusion system is used, then the device complexity is low, but the therapeutic effect is suboptimal and side effects increase
Solution Approach 1:
The infusion system dynamically adjusts the flow rate in real-time based on pharmacokinetic models and patient-specific data, transitioning from a static fixed flow rate system to a dynamic adaptive system that optimizes therapeutic delivery while managing complexity through automated control algorithms
Solution Approach 2:
The system incorporates feedback mechanisms where pharmacokinetic data and patient responses are continuously monitored and fed back to the control unit, which then adjusts the infusion pump flow rate accordingly, creating a closed-loop control system that improves therapeutic reliability
2Reliability
If real-time dynamic calculation is implemented to adjust flow rate, then the therapeutic effect is optimized, but the device complexity increases
Solution Approach 1:
The system performs self-service by automatically calculating pharmacokinetic parameters and adjusting infusion rates without requiring continuous manual intervention, using embedded algorithms that process patient data and control pump operations autonomously
Solution Approach 2:
The system changes operational parameters dynamically by adjusting flow rate based on calculated pharmacokinetic models, transforming the infusion process from a constant parameter system to one where parameters are continuously optimized based on real-time data
3Manufacturing precision
If compartmental models are used to calculate dose, then the manufacturing precision of dosing is improved, but the calculation complexity increases
Solution Approach 1:
The system replaces manual dosing calculations with automated computational algorithms that use compartmental pharmacokinetic models, substituting complex mathematical computations with electronic processing that achieves high dosing precision without requiring manual expertise
4Object-affected harmful factors
If continuous flow rate adjustment is implemented, then the side effects are minimized, but the ease of operation decreases
Solution Approach 1:
The system performs self-service by automatically adjusting flow rates to minimize side effects without requiring continuous manual monitoring or intervention, using automated control algorithms that manage the complexity of continuous adjustment
Data Source
AI summary
Disclosed herein is a system for administering a substance to a patient, the system comprising a reservoir for storing the substance, an administration apparatus configured to administer the substance to the patient, a pump for directing the substance from the reservoir to the delivery mechanism, a controller configured to operate the pump, a communication unit configured to communicate with at least one server, at least one processor configured to receive data associated with patient characteristics, calculate a substance administration dose according to the data, determine a preferred substance administration process, and operate the pump to administer the substance to the patient.