Ventilator Double Triggering Detection and Alert System
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Clinicians face challenges in detecting double triggering in ventilator patients due to the complexity of ventilatory data, which can lead to conditions like hyperinflation and barotrauma, as they struggle to identify patterns indicative of patient conditions and adjust settings effectively.
Innovation Solution
A ventilator system configured to monitor and evaluate diverse ventilatory parameters, detect double triggering by breaching predetermined thresholds, and provide notifications and recommendations to clinicians through a graphical user interface, allowing for hierarchical access to summarized or detailed information, with the option for automated adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If modern ventilators monitor and evaluate diverse ventilatory parameters, then the ability to detect patient conditions is improved, but the complexity of data assessment for clinicians increases
Solution Approach 1:
The patent introduces an automated analysis system that acts as an intermediary between the complex ventilatory data and the clinician. This system automatically evaluates diverse ventilatory parameters, detects patterns indicating patient conditions, and presents simplified findings to clinicians, thereby maintaining high measurement precision while reducing data assessment complexity.
Solution Approach 2:
The system enables self-service by automatically performing data evaluation and condition detection without requiring clinician intervention in the analysis process. The ventilator system autonomously monitors parameters, identifies double triggering events, and generates notifications, freeing clinicians from manually assessing complex ventilatory data.
2Measurement precision
If clinicians manually evaluate ventilatory data to detect double triggering, then detection accuracy may be improved, but the time required for detection increases
Solution Approach 1:
The system implements continuous automated monitoring and evaluation of ventilatory parameters, eliminating interruptions and delays associated with manual assessment. The continuous automatic detection maintains high accuracy while dramatically reducing the time required to identify double triggering events compared to intermittent manual evaluation.
Solution Approach 2:
The automated system performs detection independently without requiring clinician time investment, achieving both high detection accuracy and rapid response by continuously analyzing ventilatory data in real-time.
3Loss of information
If ventilators provide comprehensive ventilatory data, then the information available for patient assessment is improved, but the ease of identifying critical conditions deteriorates
Solution Approach 1:
The system extracts critical information from comprehensive ventilatory data by automatically detecting double triggering events and other critical conditions. It separates essential findings from the vast amount of raw data, presenting only the most important information to clinicians while maintaining full data availability for reference.
Solution Approach 2:
The system applies different levels of processing to different aspects of the data: comprehensive monitoring is maintained for all parameters, but critical conditions receive enhanced automated analysis and prominent notification. This local quality approach ensures both complete information availability and easy identification of critical issues.
Data Source
AI summary
This disclosure describes systems and methods for monitoring and evaluating ventilatory parameters, analyzing those parameters and providing useful notifications and recommendations to clinicians. That is, modern ventilators monitor, evaluate, and graphically represent multiple ventilatory parameters. However, many clinicians may not easily recognize data patterns and correlations indicative of certain patient conditions, changes in patient condition, and/or effectiveness of ventilatory treatment. Further, clinicians may not readily determine appropriate ventilatory adjustments that may address certain patient conditions and/or the effectiveness of ventilatory treatment. Specifically, clinicians may not readily detect or recognize the presence of double triggering during ventilation. According to embodiments, a ventilator may be configured to monitor and evaluate diverse ventilatory parameters to detect double triggering and may issue notifications and recommendations suitable for a patient to the clinician when double triggering is implicated. The suitable notifications and recommendations may further be provided in a hierarchical format.