Adaptive Blood Pressure Monitoring Intervals for Risk-Based Detection
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Solution Overview
Problem
Existing non-invasive blood pressure measurement techniques suffer from fixed intervals that may miss critical changes in patient condition, leading to potential adverse events and suboptimal treatment decisions, as they do not adapt to the patient's variable health status over time.
Innovation Solution
A method and system that adaptively schedule non-invasive blood pressure measurements using a risk model to compute a measurement time interval based on a patient's risk level, incorporating both machine-derived and clinician-defined parameters, ensuring timely detection of adverse events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed interval non-invasive blood pressure measurement is used, then device complexity is reduced and ease of operation is improved, but reliability deteriorates due to missed critical events
Solution Approach 1:
The measurement interval is made dynamic rather than fixed. The system automatically adjusts the time interval between measurements based on real-time risk assessment of patient condition, transitioning from static to dynamic scheduling to improve detection reliability without requiring complex manual configuration
Solution Approach 2:
The system implements feedback loops where measurement results and patient condition data are continuously fed back into the risk model, which then adjusts future measurement intervals. This closed-loop control enables the system to adapt to changing patient status automatically, improving reliability while maintaining manageable device complexity
2Reliability
If measurement interval is shortened to detect critical events, then reliability improves, but loss of time increases due to unnecessary frequent measurements
Solution Approach 1:
The system changes the parameter of measurement interval based on patient risk status. Instead of using a constant short interval for all patients, the interval is adjusted dynamically according to individual risk parameters, ensuring critical events are detected promptly while avoiding unnecessary frequent measurements in stable patients
Solution Approach 2:
The system applies partial action by performing measurements only when clinically indicated based on risk assessment. Rather than continuously measuring all patients at maximum frequency, measurements are performed at appropriate intervals tailored to each patient's condition, reducing wasted time while maintaining detection capability for adverse events
3Adaptability or versatility
If manual adjustment of measurement interval by clinician is used, then adaptability to patient condition is improved, but ease of operation deteriorates due to continuous clinician involvement required
Solution Approach 1:
The system performs self-service by automatically adjusting measurement intervals based on patient condition and risk assessment. The automated risk model and adaptive scheduling algorithm enable the system to adapt to different patient acuity levels without requiring continuous manual intervention from clinicians, thereby maintaining adaptability while significantly improving ease of operation
Data Source
AI summary
A method for adaptively scheduling non-invasive blood pressure measurement time intervals based on using a risk model to compute a risk of a patient suffering a pre-defined one or more adverse clinical events, for example within a pre-defined time window, and also based on a clinician risk assessment for a patient.