Drug Simulant Recognition via Fluid Conductivity Sensing
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Solution Overview
Problem
Current automated drug recognition systems in healthcare training scenarios are limited by the need for external tags or barcodes, inability to detect injections at a distance, and failure to identify real-world errors such as air embolisms or incomplete drug delivery.
Innovation Solution
A system that measures the conductivity of injected fluids using electrodes and a data acquisition interface, allowing for real-time identification of drug simulants without external markers, and continuously monitors flow rate to determine the volume and identity of injected substances.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If barcode scanning or RFID tags are used for drug recognition, then automated identification is enabled, but the system requires external markers not present in actual clinical procedures and fixed sensor locations that cannot detect distant injections
Solution Approach 1:
The invention extracts the identification markers (barcodes, RFID tags) from the syringe exterior and places them inside the fluid pathway within the simulator body. This allows the sensing system to detect drugs through inherent fluid properties rather than requiring external markers attached to syringes, enabling detection of injections at various locations including distant IV ports and manifolds
Solution Approach 2:
The sensing system is designed to detect multiple drug types and injection locations using a single fixed sensor platform. By measuring inherent fluid properties (conductivity, color, pH, optical refractive index) rather than requiring location-specific sensors, the system achieves universal detection capability across different injection sites and clinical scenarios
2Productivity
If RFID tags are placed near the arm for detection, then automated recognition is achieved, but multiple injections in rapid sequence are interfered with by empty tagged syringes left near the arm
Solution Approach 1:
The invention introduces an intermediary fluid pathway system that transports the tagged fluid from the injection site through tubing to a centralized sensing chamber. Empty syringes left near the arm no longer interfere with detection because the actual drug fluid travels through the simulated body's internal pathways to the sensor, separating the injection act from the detection location
3Extent of automation
If external tagging systems are used, then drug identification is automated, but real-world errors such as air embolisms and incomplete drug delivery cannot be detected
Solution Approach 1:
The sensing system continuously monitors fluid properties throughout the entire injection process rather than only at the moment of injection. Flow sensors track the continuous movement of fluid through the pathway, while conductivity and color sensors continuously analyze the fluid composition, enabling detection of interruptions, air embolisms, and incomplete deliveries throughout the injection sequence
Solution Approach 2:
The system provides real-time feedback by comparing measured fluid properties against expected values for different drugs. The sensing system continuously monitors injection parameters and provides immediate feedback on whether the injection is proceeding correctly, detecting errors such as air embolisms, wrong drug administration, or incomplete delivery by comparing actual measurements with anticipated injection profiles
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and realistic simulation of drug injections, including detection of incomplete delivery and errors, without extraneous equipment, providing immediate feedback in training scenarios.
Implementation Method 1
an electronic sensing system structured to measure the value of an inherent property of the drug simulant... The inherent property may comprise one from the group consisting of: conductivity
Implementation Method 2
an electrode chamber in fluid communication with the port and having electrodes disposed therein; a fluid conductivity measuring circuit electrically coupled to the electrodes which outputs a signal corresponding to the conductivity between the electrodes
Implementation Method 3
The inherent property may comprise one from the group consisting of: conductivity, color, pH and optical refractive index
Data Source
AI summary
A system for identifying a drug simulant includes an electronic sensing system structured to measure the value of an inherent property of the drug simulant; a processing unit in electrical communication with the electronic sensing system; and a memory unit in communication with the processing unit, the memory unit having a look-up table including a range of values of the inherent property of a given fluid and corresponding names of simulated drugs associated with each value. The processor is structured to identify a name of the simulated drug corresponding to the drug simulant by receiving signals indicative of the value of the measured inherent property from the sensing system and comparing the value to the look-up table in the memory.