Remote Ventilation Control Using Patient And Clinical Data
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Solution Overview
Problem
Existing medical ventilation systems lack the capability for two-way communication, preventing them from receiving and processing data from remote sources to adjust their operating parameters based on patient-specific information, user inputs, or clinical protocols.
Innovation Solution
A ventilation system configured with a processor and memory to receive and process patient data, order data, configuration data, and clinical protocols over a network, allowing for dynamic adjustment of operating parameters and configuration profiles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If common ventilation systems are configured to provide information for display only, then the device complexity is reduced, but the adaptability and ability to receive remote control information is limited
Solution Approach 1:
The ventilation system is designed to perform multiple functions: it not only displays ventilator settings but also receives and processes various types of data from remote sources including patient data, order data, configuration data, user data, and rules or protocols. This multi-functionality enables the system to adapt to different control scenarios while maintaining a unified device architecture.
Solution Approach 2:
A processor is introduced as an intermediary component that receives data from remote sources over a network, processes the data according to stored instructions, and modifies operating parameters accordingly. This intermediary enables complex data processing capabilities without directly increasing the complexity of the ventilation device itself.
2Adaptability or versatility
If the ventilation system processes and modifies operating parameters based on received data, then the adaptability to patient-specific information is improved, but the device complexity increases
Solution Approach 1:
The system receives data from remote sources, processes it through the processor, and uses the results to modify operating parameters. This feedback loop enables the ventilation system to adapt dynamically to patient-specific information, order data, and clinical protocols, improving responsiveness to changing patient needs.
Solution Approach 2:
The processor is configured to execute instructions stored in memory that define how to process received data and modify operating parameters. This preliminary configuration of processing logic allows the system to adapt to various data types and control scenarios without requiring complex real-time decision-making architecture.
3Adaptability or versatility
If the system communicates over a network to receive and send data, then the adaptability to remote monitoring and control is improved, but the loss of information and dependency on network connectivity increases
Solution Approach 1:
The ventilation system autonomously receives, processes, and executes control modifications based on data received over the network. The system self-manages the communication and control processes without requiring continuous external intervention, reducing dependency on network connectivity for basic operational functionality.
Data Source
AI summary
A ventilation system operates in one of a plurality of modes for communicating ventilation information with a computing device, and operating parameters of a ventilation device are remotely modified based on system data. Ventilation data is received from a ventilation device and an alarm associated with the ventilation device or the patient associated with the ventilation device is determined based on at least a portion of the ventilation data. Responsive to determining the alarm, the alarm is transmitted to the computing device before the ventilator data is transmitted to the computing device.