Anesthesia System Exponential Agent Model Prediction
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Solution Overview
Problem
Anesthesia systems face challenges in estimating the time for achieving clinical effects, such as unconsciousness, and selecting optimal vaporizer and ventilator settings due to the delayed absorption of inhaled anesthetic agents and the difficulty in predicting their concentration equilibrium within the breathing circuit and patient.
Innovation Solution
An anesthesia system equipped with sensors to measure anesthetic agent concentrations and a processor that generates an exponential agent model to predict future concentrations, allowing clinicians to estimate the time for clinical effects and optimize settings for safe and efficient anesthesia delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If inhaled anesthetic agent is administered to produce future clinical effect, then unconsciousness can be achieved, but it is difficult to estimate the time at which the future clinical effect will take place
Solution Approach 1:
The system performs preliminary calculations of future anesthetic agent concentrations and clinical effect timing before the actual effect occurs. By using the exponential agent model to predict future concentrations based on current vaporizer and ventilator settings, the system allows clinicians to anticipate when unconsciousness will occur and adjust settings in advance to optimize the timing of clinical effect.
2Ease of operation
If vaporizer and ventilator settings are adjusted to produce future clinical effect, then unconsciousness can be achieved, but it is difficult to select settings that produce the future clinical effect in an optimal manner
Solution Approach 1:
The system provides feedback by displaying predicted future anesthetic agent concentrations and estimated time to clinical effect based on current vaporizer and ventilator settings. This allows clinicians to see the anticipated outcome of their settings choices and make informed adjustments to achieve optimal results, thereby improving both ease of operation and reliability of achieving the desired clinical effect.
Data Source
AI summary
An anesthesia system is disclosed herein. The anesthesia system includes a sensor configured to measure an anesthetic agent concentration, and a processor connected to the sensor. The processor is configured to generate an exponential agent model based on the measured anesthetic agent concentration. The exponential agent model represents a plurality of future anesthetic agent concentrations.