Life Support Apparatus Fault Diagnosis and Prioritization
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Solution Overview
Problem
Conventional life support systems rely heavily on human intervention for diagnosing and managing faults, which can lead to delays and increased risk for patients due to the complexity of monitoring and adjusting ventilation and oxygenation parameters, highlighting the need for automated malfunction correction guidance.
Innovation Solution
A life support and monitoring apparatus that identifies the root cause of faults, prioritizes interventions based on patient risk, and provides guidance to operators through a user interface with visual and audible prompts, enabling automated malfunction correction and ensuring continuous life support.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional alarm systems are used to detect faults, then fault detection capability is provided, but the burden on care providers increases and response time is delayed
Solution Approach 1:
The system automatically diagnoses faults and generates corrective actions without requiring care providers to manually assess or prioritize multiple alarms. The processor autonomously analyzes alarm data, determines root causes, and sequences interventions, allowing the system to serve itself in managing fault detection and response.
Solution Approach 2:
The system provides structured feedback to care providers by presenting prioritized corrective actions based on automated analysis of alarm conditions. This feedback mechanism transforms raw alarm data into actionable guidance, reducing the cognitive burden on providers while maintaining reliable fault detection.
2Reliability
If conventional alarm systems are used to detect faults, then fault detection capability is provided, but intervention response time is delayed
Solution Approach 1:
The system performs preliminary analysis of alarm conditions and pre-sequences corrective actions before care providers need to respond. By automatically determining the root cause and prioritizing interventions in advance, the system eliminates the time delay associated with manual assessment and decision-making during critical events.
Solution Approach 2:
The system autonomously manages the fault response process by automatically diagnosing alarms and generating prioritized corrective actions, reducing the time care providers need to spend on assessment and enabling faster intervention.
3Reliability
If multiple faults exist in the system, then comprehensive monitoring is achieved, but prioritizing interventions becomes difficult
Solution Approach 1:
The system automatically prioritizes multiple alarms by analyzing their interrelationships and determining the root cause. The processor autonomously sequences corrective actions based on which interventions will most effectively resolve the underlying issue, eliminating the difficulty of manual prioritization while maintaining comprehensive monitoring of all system parameters.
Solution Approach 2:
The system acts as an intermediary between multiple alarm conditions and the care provider by synthesizing complex alarm data into a single prioritized corrective action sequence. This intermediary function translates comprehensive monitoring data into manageable guidance, making intervention prioritization straightforward for providers.
4Adaptability or versatility
If care providers manually assess and prioritize alarms, then clinical judgment is applied, but the burden on providers increases
Solution Approach 1:
The system performs the complex task of alarm assessment and prioritization autonomously, freeing care providers from the burden of manually analyzing multiple alarms. The processor applies algorithmic reasoning to determine root causes and sequence interventions, while providers retain the ability to apply clinical judgment to the system's recommendations.
Solution Approach 2:
The system serves as an intermediary that handles the complex analysis of alarm conditions and intervention prioritization, allowing providers to focus on applying clinical judgment to the synthesized recommendations rather than manually assessing each alarm condition.
Data Source
AI summary
A life support and monitoring apparatus with malfunction correction guidance is provided. The life support and monitoring apparatus of the present disclosure identifies the root cause or potential cause of a fault/failure and then prompts an operator to take appropriate steps to assure the continuance of life support and critical physiologic monitoring. When multiple faults/failures exist, the apparatus automatically prioritizes them based on risk to the patient and prompts the operator to do the most appropriate intervention to assure patient safety.