Patient Simulator for Infusion Pump Testing
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Solution Overview
Problem
Traditional infusion pump testing systems require a patient to be connected to biosensors, which is inconvenient and yields patient-specific results, and complex mechanical testing jigs require regular maintenance and are difficult to configure.
Innovation Solution
A patient simulator that generates physiological patient data in the form of signals used as inputs to the infusion control system, using algorithms to model patient response and machine learning with existing clinical files to simulate responses to various medications and situations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a patient is connected to biosensors to measure system response, then patient-specific results are obtained, but the testing process becomes inconvenient and requires complex mechanical testing jigs
Solution Approach 1:
The patent creates a virtual copy of the patient's physiological system through software simulation. Instead of connecting real patients to biosensors, the system uses patient-specific parameters (age, weight, medical history, genetics) to generate a digital twin that replicates physiological responses. This virtual patient model produces realistic biosensor data without requiring actual patient connection, thereby maintaining measurement precision while eliminating operational inconvenience.
Solution Approach 2:
The patent replaces complex mechanical testing jigs and physical biosensor connections with a software-based simulation system. The virtual patient generator uses computational algorithms to model physiological processes, substituting mechanical hardware with software that generates synthetic but realistic physiological signals. This eliminates the need for physical testing apparatus while maintaining the ability to obtain patient-specific response data.
2Reliability
If complex mechanical testing jigs are used to simulate patient physiological signals, then realistic patient responses can be generated, but regular maintenance and difficult configuration are required
Solution Approach 1:
The patent replaces mechanical testing jigs that simulate physiological signals with a software-based virtual patient system. Instead of using physical devices to generate artificial biosensor readings, the system uses computational models that calculate physiological responses based on patient-specific parameters. This software approach eliminates mechanical components, thereby reducing maintenance requirements and simplifying configuration while maintaining simulation reliability.
Solution Approach 2:
The patent introduces a virtual patient generator as an intermediary between the infusion pump system and the testing process. This software mediator translates patient parameters into realistic physiological signals, replacing the need for complex mechanical intermediaries. The virtual generator acts as a flexible, maintenance-free bridge that connects the infusion system to test outcomes without requiring physical hardware.
3Productivity
If traditional testing systems with mechanical jigs are used, then testing can be performed, but configuration and maintenance become difficult and time-consuming
Solution Approach 1:
The patent replaces mechanical testing infrastructure with a software-based virtual patient system that can be rapidly configured and deployed. Instead of physically assembling and calibrating mechanical jigs, the system loads patient parameters into software models that automatically generate appropriate physiological responses. This eliminates time-consuming mechanical configuration and maintenance activities while preserving full testing capability.
Solution Approach 2:
The virtual patient generator is designed to automatically configure itself based on input patient parameters. When patient data is provided, the system self-adjusts the virtual physiological models without requiring manual intervention for setup or calibration. This self-configuring capability eliminates the time loss associated with manual configuration and maintenance of traditional mechanical testing systems.
Data Source
AI summary
An infusion control test system includes a patient bio-simulator configured to generate first simulated biophysical data; an infusion control system configured to determine a first infusion profile in response to the first simulated biophysical data; and an infusion pump simulator configured to simulate a first administration of medication according to the first infusion profile. The patient bio-simulator is further configured to: simulate a patient response to the simulated first administration of medication; and generate second simulated biophysical data by adjusting the first simulated biophysical data according to the patient response.