Blood Pressure Measurement Accuracy Divergence Detection
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Solution Overview
Problem
Existing blood pressure determination techniques in hospital environments often result in inaccurate measurements due to the use of multiple types of blood pressure measurements, which can lead to misleading diagnoses, procedural recommendations, and medication dosages.
Innovation Solution
A method and system that collect multiple blood pressure measurements from different devices, identify divergences between them, and compare these measurements to clinical events using a processor and machine learning models to determine the accuracy of each measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple types of blood pressure measurements are collected from different devices, then the quantity of blood pressure data increases, but the accuracy and reliability of blood pressure determination deteriorates due to divergent values
Solution Approach 1:
The system extracts and identifies the reliable blood pressure measurement from multiple divergent measurements by comparing them against expected physiological responses to clinical events. The processor selectively extracts the measurement that aligns with the expected direction of blood pressure change, discarding inaccurate measurements.
Solution Approach 2:
The system uses feedback from clinical events (such as medication administration) to validate blood pressure measurements. By comparing the direction of blood pressure change against the expected directional change from known clinical events, the system determines which measurement is reliable and which is inaccurate.
2Device complexity
If clinicians use subjective clinical judgement to select blood pressure measurements, then the complexity of automated processing decreases, but the accuracy and consistency of measurement selection deteriorates
Solution Approach 1:
The system performs self-service by automatically determining which blood pressure measurement is reliable without requiring clinician intervention. The processor autonomously compares measurements against clinical events and selects the accurate measurement, eliminating subjective judgment while maintaining high precision.
Solution Approach 2:
The system replaces the mechanical process of subjective clinical judgement with an automated computational system. The processor uses objective algorithms to compare blood pressure measurements against expected physiological responses, substituting human decision-making with consistent automated analysis.
3Device complexity
If averaging is used to combine multiple blood pressure measurements, then the device complexity and processing requirements decrease, but the accuracy of blood pressure determination deteriorates due to misleading average values
Solution Approach 1:
Instead of averaging multiple measurements, the system extracts and selects only the reliable measurement that aligns with expected physiological responses. This extraction approach avoids the misleading effect of averaging divergent values while maintaining measurement accuracy.
Solution Approach 2:
The system inverts the conventional approach by not combining measurements through averaging, but rather by selectively identifying and using only the accurate measurement. This inversion of the averaging principle prevents the loss of precision that occurs when divergent measurements are combined.
Data Source
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AI summary
Methods and systems for determining the blood pressure of a patient. The system may include a first device configured to collect a first plurality of blood pressure measurements of the patient, a second device configured to collect a second plurality of blood pressure measurements of the patient, and a processor configured to identify a divergence between the first plurality and the second plurality, retrieve, from a memory, a clinical event, compare the first plurality and the second plurality to the clinical event, and determine that the first plurality is more accurate than the second plurality based on the comparison.