Patient Monitoring Network Alerts for Device and Congestion Failures
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Solution Overview
Problem
Existing patient monitoring systems in hospitals and other care facilities are prone to failures due to user error, power failures, and network congestion, leading to potential lapses in medical care as it may take hours or days for technicians to resolve issues.
Innovation Solution
A system is developed to monitor patient monitoring devices and their supporting systems, gathering metrics periodically to identify or predict issues such as processor overload, network congestion, and device non-responsiveness, and notify appropriate personnel to resolve these issues in a timely manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If patient monitoring devices process and exchange large amounts of data over the network, then the quality of medical care is improved through remote access to physiological parameters, but network congestion occurs reducing data transfer rate and preventing data transfer
Solution Approach 1:
The monitoring system proactively detects potential failures by continuously analyzing performance metrics and trends before they actually occur. This preliminary detection allows the system to alert clinicians and technicians in advance, enabling preventive maintenance and avoiding disruptions to data transfer and medical care quality.
Solution Approach 2:
The system implements continuous feedback loops by monitoring performance metrics, comparing them against thresholds and historical data, and generating alerts when anomalies are detected. This feedback mechanism enables real-time adjustments and proactive response to potential network congestion or device failures, maintaining both data transfer rates and care quality.
2Reliability
If clinicians remotely access physiological parameters through interconnected monitoring devices, then medical care quality increases, but system failures due to user error or power failure become more critical as delays in technician response can affect patient treatment
Solution Approach 1:
The system performs preliminary failure detection by continuously monitoring device status, power levels, and operational metrics. When potential failures are detected before they occur, the system generates proactive alerts that enable technicians to address issues before they disrupt patient monitoring, eliminating unnecessary delays in care.
Solution Approach 2:
The monitoring system automatically detects and reports its own potential failures without requiring manual intervention. By self-monitoring and self-reporting issues, the system reduces the time between failure occurrence and technician notification, allowing for faster response and minimal impact on patient care.
3Reliability
If patient monitoring devices continuously monitor physiological parameters to ensure patient safety, then patient care reliability is improved, but processor overload and device hang or crash may occur
Solution Approach 1:
The system proactively monitors processor utilization, memory usage, and other performance metrics to detect trends indicating potential overload conditions. By identifying these trends before they cause device hang or crash, the system can alert technicians to perform maintenance or restart devices, preventing interruptions to patient monitoring and maintaining care reliability.
Data Source
AI summary
Systems and methods for monitoring physiological monitoring systems are described herein. A communication interface module can be configured to receive from a physiological monitoring system first data based on a snapshot taken of a status of the physiological monitoring system at a first time. A memory module can be configured to store the first data and a baseline associated with the physiological monitoring system. A processor module can be configured to compare the first data with the baseline and to generate a notification if the first data deviates from the baseline by a predetermined amount. A display module can be configured to display a physical location of a plurality of physiological monitoring systems and display the notification.