Predictive Notification Engine for Medical Devices
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Solution Overview
Problem
Current healthcare notification systems are limited in their ability to create notifications based on multiple parameters and do not allow for predictive alerts, reacting only to events that have already occurred, without the capability to anticipate future medical issues from trends in data.
Innovation Solution
A predictive notification engine that processes sequences of data values from medical devices using user-defined predictive algorithms to anticipate potential medical problems, allowing for notifications to be generated based on trends and user experience levels, enabling proactive alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current notification systems react only to events that have already occurred, then the system is simple and easy to implement, but the system cannot anticipate future medical issues from trends in data
Solution Approach 1:
The notification system performs preliminary actions by analyzing trends in parameter data to predict future medical events before they occur. The system evaluates sequences of data values from multiple parameters and generates predictions about potential medical issues, allowing healthcare providers to take preventive action rather than merely reacting to events after they happen.
2Adaptability or versatility
If notification mechanisms are hard-coded to medical devices, then the system is simple to implement, but new notifications based on multiple parameters cannot be created
Solution Approach 1:
The notification system is designed with universal functionality to handle multiple parameters and create diverse notification types through a unified platform. The system can evaluate sequences of data values from any combination of parameters and generate various prediction-based notifications, making it adaptable to different clinical scenarios without requiring separate hard-coded mechanisms for each notification type.
3Reliability
If the system processes sequences of data values to generate predictions, then proactive alerts can be generated, but the processing complexity and computational requirements increase
Solution Approach 1:
The notification system applies partial action by selectively analyzing sequences of data values based on configured prediction criteria. Rather than processing all possible parameter combinations continuously, the system evaluates data sequences according to specific prediction rules and thresholds, generating predictions only when relevant patterns are detected, thus balancing prediction accuracy with processing efficiency.
Data Source
AI summary
Certain embodiments of the present invention provide a system for predictive notification including a notification engine adapted to receive a sequence of data values for a parameter from a medical device. The notification engine is adapted to determine a prediction based at least in part on the sequence of data values. The notification engine is adapted to generate a notification based on the prediction.