Automated Oxygen Control System for NICU Patient Weaning
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Solution Overview
Problem
Clinicians face a substantial workload due to frequent adjustments in the fraction of inspired oxygen delivered to patients, particularly in NICU and ICU settings, as they need to respond to rapid changes in oxygenation levels, leading to inefficiencies in care.
Innovation Solution
A system comprising a pressure generator, user interface, and processors that dynamically control the fraction of inspired oxygen and positive end expiratory pressure in a feedback manner, using oxygenation metrics to adjust the concentration of oxygen in the breathable gas flow, with user-configurable constraints to customize therapy and wean patients gradually.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If clinicians manually adjust fraction of inspired oxygen frequently to respond to changes in oxygenation levels, then oxygenation control responsiveness is improved, but clinician workload increases substantially
Solution Approach 1:
The system enables self-service automation where the ventilator automatically monitors oxygenation levels (SpO2, PaO2) and adjusts fraction of inspired oxygen without clinician intervention. The processor executes algorithms that continuously analyze oxygenation metrics and autonomously modify oxygen delivery parameters, allowing the system to serve itself rather than requiring constant manual oversight.
Solution Approach 2:
The system implements continuous feedback control by monitoring oxygenation metrics in real-time and using this information to dynamically adjust fraction of inspired oxygen. The processor receives feedback from oxygenation sensors and automatically modifies breathable gas composition to maintain target oxygenation levels, creating a closed-loop control system that responds rapidly to changes without manual intervention.
2Productivity
If automated control of fraction of inspired oxygen is implemented, then clinician workload is reduced, but system complexity increases
Solution Approach 1:
The processor is designed to perform multiple functions including monitoring oxygenation metrics, calculating target fraction of inspired oxygen, adjusting breathable gas composition, and managing weaning protocols. By consolidating these diverse control tasks into a single multi-functional processing unit, the system achieves automation capabilities without proportionally increasing overall system complexity.
Solution Approach 2:
The system merges oxygenation monitoring, fraction of inspired oxygen control, and positive end expiratory pressure management into an integrated automated control platform. The processor combines multiple control algorithms and sensor inputs into a unified system that manages all aspects of respiratory support, reducing the need for separate dedicated components for each function.
3Adaptability or versatility
If fraction of inspired oxygen is reduced to wean patients from therapy, then patient independence is improved, but oxygenation levels may deteriorate
Solution Approach 1:
The system implements dynamic adjustment of fraction of inspired oxygen during weaning, continuously adapting oxygen delivery based on real-time oxygenation metrics. Rather than fixed reductions, the processor dynamically modifies oxygen concentration in response to patient's changing needs, allowing gradual weaning while maintaining oxygenation stability through continuous adaptation to physiological feedback.
Solution Approach 2:
The system performs preliminary assessment of oxygenation trends and patient readiness before initiating fraction of inspired oxygen reductions. The processor analyzes historical oxygenation data and predicts potential deterioration risks, allowing clinicians to prepare appropriate interventions in advance and implement weaning protocols only when patient conditions indicate readiness, thereby preventing oxygenation instability.
Data Source
AI summary
A pressurized flow of breathable gas is delivered to the airway of a subject in accordance with a therapy regimen. The therapy regimen may be designed to maintain oxygenation of the subject. The therapy regimen dictates levels of fraction of inspired oxygen and/or positive end expiratory pressure to maintain a therapeutically beneficial level of oxygenation in a feedback manner. Within the therapy regimen, changes made to fraction of inspired oxygen and/or positive end expiratory pressure automatically and dynamically are constrained by user configured constraints such as the maximum incremental change, amount of time between adjustments, or the maximum rate of change This may provide a level of customization of the automated control of the therapy regime for individual subjects.