Oxygen Titration Decision Support Using Arterial Oxygenation Modeling
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Solution Overview
Problem
Current methods for titrating supplemental oxygen flow to patients with respiratory issues, such as COPD, are complex, resource-intensive, and often result in unnecessary treatment, leading to patient discomfort and potential harm due to excessive or inappropriate oxygen administration.
Innovation Solution
A computer-implemented method using a mathematical model to calculate a target arterial oxygenation value based on blood gas values, allowing for fewer and less invasive blood samples, and adjusting oxygen flow to reach the desired level efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If capillary blood gas (CBG) is used for oxygen titration due to resource constraints, then ease of operation is improved, but measurement precision deteriorates leading to misdiagnosis and unnecessary oxygen therapy
Solution Approach 1:
The patent introduces a decision support system as an intermediary between the CBG measurement and the oxygen titration decision. The system applies mathematical models (such as the Siggaard-Andersen nomogram or other blood gas interpretation algorithms) to interpret CBG values and estimate arterial oxygenation status, thereby bridging the gap between the easily obtained CBG measurement and the clinically relevant arterial oxygenation assessment.
Solution Approach 2:
The patent replaces the direct reliance on CBG measurements (which have inherent limitations) with a computational approach using mathematical models and algorithms. Instead of directly using CBG values for titration decisions, the system substitutes a computational processing layer that transforms CBG data into more accurate estimates of arterial oxygenation status.
2Measurement precision
If multiple blood samples are drawn during oxygen titration to ensure accuracy, then measurement precision is improved, but patient discomfort and loss of time increase
Solution Approach 1:
The patent implements a feedback mechanism where the decision support system continuously monitors blood gas values and arterial oxygenation status during oxygen titration. The system provides real-time feedback to the healthcare provider, indicating whether the current oxygen flow rate is appropriate or needs adjustment, thereby reducing the need for multiple repetitive blood samples while maintaining measurement precision.
Solution Approach 2:
The patent applies preliminary action by using the decision support system to predict the optimal oxygen flow rate before actual titration begins. The mathematical models estimate the required oxygenation level based on initial blood gas values, allowing the healthcare provider to set an initial oxygen flow rate closer to the target, thereby reducing the number of subsequent adjustments and blood samples needed.
3Measurement precision
If arterial blood gas (ABG) is used for oxygen titration according to guidelines, then measurement precision is improved, but device complexity and resource requirements worsen
Solution Approach 1:
The patent creates a computational copy or model of arterial blood gas interpretation that can be applied to capillary blood gas samples. Instead of requiring actual ABG samples, the system uses mathematical models to simulate and predict what the arterial oxygenation status would be based on CBG measurements, thereby providing ABG-level decision support without the complexity of ABG sampling procedures.
4Reliability
If oxygen flow is increased in steps to achieve target oxygenation, then reliability is improved, but loss of time and patient discomfort worsen due to multiple adjustments
Solution Approach 1:
The patent applies preliminary action by using the decision support system to calculate the optimal oxygen flow rate before titration begins. Based on initial blood gas values and mathematical models, the system predicts the target oxygen flow rate, allowing the healthcare provider to set an initial flow rate closer to the final target, thereby reducing the number of incremental adjustments needed and the associated time loss and patient discomfort.
Solution Approach 2:
The patent introduces dynamics by making the oxygen titration process adaptive and responsive. The decision support system continuously monitors blood gas values and arterial oxygenation status, dynamically adjusting the recommended oxygen flow rate based on real-time patient response. This dynamic approach allows for more efficient titration with fewer adjustments compared to static step-wise increases.
Data Source
AI summary
The invention relates to a computer implemented method, and a data processing system, for providing decision support in relation to a patient receiving oxygen treatment, the patient having a medical condition requiring a supplemental oxygen device providing an oxygen flow, wherein the decision support assists a health care person in adjusting the oxygen flow from said supplemental oxygen device to the patient, and wherein the decision support uses an arterial oxygenation value to calculate whether the oxygen flow to the patient is sufficient based on a desired input from the health care person.