Physiological Data Gap Detection for Patient Monitoring
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Solution Overview
Problem
Conventional automated electronic patient monitoring and data collection systems fail to diagnose and resolve time gaps in physiological data collection, resulting in limited collection rates, ranging from 28% to 40% with a single server and approximately 79% with redundant servers.
Innovation Solution
A method and apparatus that monitor and diagnose time gaps in physiological data collection by determining time gaps exceeding predefined thresholds, performing remedial actions such as sending alerts or rebooting servers, and displaying color-coded indicators to identify and address data collection issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional automated electronic patient monitoring systems are used to collect physiological data, then data collection can be performed automatically, but the collection rate is limited (28% to 40% with single server, 79% with redundant servers) due to undiagnosed and unresolved time gaps
Solution Approach 1:
The system implements a feedback mechanism where the monitoring system continuously checks for time gaps in physiological data collection, sends alerts when gaps are detected, and performs remedial actions to resolve the gaps. This closed-loop feedback system enables the system to self-diagnose and self-correct data collection issues, transforming the passive data collection process into an active, self-regulating system that maintains high collection rates.
Solution Approach 2:
The monitoring system performs self-service by automatically detecting time gaps, sending alerts, and executing remedial actions without requiring external intervention. The system monitors its own data collection performance, identifies problems, and resolves them autonomously, thereby maintaining high productivity and reliability of physiological data collection.
2Productivity
If multiple servers are connected redundantly to improve data collection rate, then collection rate improves to approximately 79%, but system complexity increases
Solution Approach 1:
The monitoring system acts as an intermediary that manages the complexity of multiple redundant servers. Rather than requiring direct complex interactions between servers, the monitoring system centralizes the coordination, gap detection, and remedial action functions, thereby maintaining high data collection rates while managing system complexity through a dedicated control mechanism.
Solution Approach 2:
The monitoring system performs multiple functions including data collection monitoring, time gap detection, alert generation, and remedial action execution. This multi-functional approach consolidates what would otherwise require separate specialized components, thereby maintaining high productivity while managing system complexity through universal functionality.
3Ease of operation
If the system merely assesses whether time gaps exist without performing remedial actions, then system operation is simple, but collection rate remains limited
Solution Approach 1:
The system performs preliminary actions by proactively detecting time gaps and executing remedial actions before data collection deficiencies become critical. The monitoring system continuously assesses data collection status and takes corrective measures in advance, thereby maintaining high collection rates while keeping operational complexity manageable through automated preliminary interventions.
Data Source
AI summary
A method and apparatus for monitoring collection of subject condition data is provided. The method includes receiving a value of a parameter of subject condition data and a value of a sample time, for each of a plurality of sample times. The method also includes storing the subject condition data in a data structure including a first field for holding data indicating a current sample time and a second field for holding data indicating the value of the parameter. The method also includes determining a time gap defined by a duration between the current sample time and a most recent sample time and determining whether the time gap exceeds a time gap threshold and causing an apparatus to perform remedial action. A method for presenting the subject condition data on a display is also provided.