Cardiac Output Decision Support System for Circulatory Compromise
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for measuring cardiac output in intensive care patients are either invasive or inaccurate, and there is a need for a system to determine when cardiac output measurement is necessary, especially in patients with compromised circulation.
Innovation Solution
A decision support system that uses physiological models to assess the need for cardiac output measurement by receiving data on arterial oxygenation, haemoglobin concentration, oxygen partial pressure, and oxygen consumption, and outputs an estimated value of cardiac output or haemoglobin oxygen saturation for comparison with reference values to determine the necessity of improved measurement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If invasive techniques (PA catheter) are used to measure cardiac output, then measurement precision is improved, but device complexity and patient risk increase
Solution Approach 1:
The patent introduces an intermediary computational model that processes readily available physiological parameters (arterial oxygenation, haemoglobin concentration, oxygen partial pressure, oxygen consumption) to estimate mixed venous oxygen saturation and cardiac output. This intermediary calculation layer bridges the gap between simple non-invasive measurements and the need for accurate cardiac output assessment, eliminating the need for direct invasive catheter placement while maintaining measurement reliability.
Solution Approach 2:
The patent replaces the mechanical invasive system (PA catheter placement requiring physical insertion into pulmonary circulation) with a computational system that uses mathematical models and physiological equations. This substitution eliminates the mechanical intrusion into the patient's circulatory system while deriving cardiac output information through computational analysis of blood gas parameters and oxygen consumption data.
2Device complexity
If less invasive techniques are used to measure cardiac output, then device complexity is reduced, but measurement precision deteriorates due to extra assumptions
Solution Approach 1:
The patent enables the physiological monitoring system to self-assess the adequacy of cardiac output estimation by internally calculating mixed venous oxygen saturation and comparing it against physiologically plausible ranges. The system uses the Fick principle and oxygen transport equations to self-validate the consistency of estimated cardiac output with measured oxygen consumption and arterial-venous oxygen content differences, providing internal quality control without requiring invasive reference measurements.
Solution Approach 2:
The patent implements a feedback mechanism where the calculated mixed venous oxygen saturation is continuously compared against reference values and physiological thresholds. When the estimated SvO2 falls outside acceptable ranges or when the calculated cardiac output is inconsistent with other physiological parameters, the system generates alerts or adjusts its estimation algorithms, providing continuous validation and improving measurement reliability through iterative feedback from multiple physiological parameters.
3Reliability
If cardiac output measurement is performed on all patients, then reliability of circulatory status assessment is improved, but loss of time and resources increase
Solution Approach 1:
The patent applies partial action by selectively estimating cardiac output only when clinically indicated, rather than continuously measuring in all patients. The system calculates a minimum cardiac output threshold based on measured oxygen consumption and arterial oxygen content, and only triggers full cardiac output assessment or clinical intervention when the estimated value approaches or falls below this threshold, thereby reducing unnecessary measurements while maintaining reliability for compromised patients.
Solution Approach 2:
The patent performs preliminary assessment by calculating the minimum cardiac output threshold and estimated mixed venous oxygen saturation using readily available physiological parameters before committing to invasive measurement procedures. This preliminary computational screening identifies which patients actually require full cardiac output measurement, allowing clinicians to prioritize interventions and avoid unnecessary invasive procedures on patients with adequate cardiac output reserves.
Data Source
AI summary
The present invention relates to a decision support system (DSS), a medical monitoring system (100), and a corresponding method for identifying the need for measurement of cardiac output (CO) based on one or more comparisons (COMP1, COMP2) in a physiological model. More specifically, for identifying when an approximated value of CO cannot be correct due to circulatory compromise and as such that another estimated or measured value of CO is required.


