Apheresis Flow Modeling With Secondary Device Infusion Control
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Solution Overview
Problem
Traditional apheresis flow models do not account for third-party connections to the apheresis machine, which can alter fluid flows and volumes during procedures, leading to inaccuracies in flow modeling and potential safety issues.
Innovation Solution
Incorporating third-party data and equipment into the flow model by determining fluid volumes through machine lines and chambers, tracking unknown fluid components from secondary devices, and adjusting anticoagulant infusion rates using an algorithm to maintain patient safety and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional flow models are used without accounting for third-party devices, then the system is simpler to operate, but the flow modeling accuracy deteriorates
Solution Approach 1:
The system segments the apheresis system into distinct components (apheresis machine, secondary device, fluid lines, chambers) and creates separate flow models for each. The controller generates an initial flow model for the apheresis machine, then modifies it by incorporating details from the secondary device to create a comprehensive flow model that accounts for all components while maintaining manageable complexity through modular modeling.
2Measurement precision
If third-party devices are incorporated into the flow model, then flow modeling accuracy improves, but the difficulty of detecting and measuring fluid components increases
Solution Approach 1:
The controller continuously monitors fluid flow through the system and uses this feedback to update the flow model in real-time. The system detects fluid components by tracking their movement through the apheresis machine and secondary device, adjusting the model based on actual measurements to maintain accuracy despite the complexity of multiple fluid pathways and components.
3Reliability
If anticoagulant infusion rates are adjusted dynamically, then patient safety improves, but the complexity of controlling the system increases
Solution Approach 1:
The controller dynamically adjusts anticoagulant infusion rates by changing operational parameters based on real-time flow model data. The system monitors citrate molarity and other parameters, automatically modifying infusion rates to maintain patient safety while preventing citrate toxicity. This automated parameter adjustment reduces the need for manual intervention despite the underlying complexity.
4Measurement precision
If all fluid components are tracked in real-time, then measurement precision improves, but the loss of time for processing increases
Solution Approach 1:
The system performs preliminary actions by pre-calculating flow paths and potential fluid component interactions before the apheresis procedure begins. The controller generates an initial flow model that anticipates fluid movement through the system, allowing for proactive adjustments rather than reactive corrections during the procedure. This reduces the time needed for real-time processing while maintaining tracking accuracy.
Data Source
AI summary
A method for determining a flow model for fluid within an apheresis machine includes determining a starting flow model for an apheresis procedure, determining details of a secondary device, and generating an updated flow model based on the starting flow model and the details of the secondary device. The secondary device is configured to connect to the apheresis machine for the apheresis procedure.