Medical Device Connectivity Engine Data Transformation
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Solution Overview
Problem
Medical devices face challenges in communicating data with external servers due to different data formatting requirements, necessitating a solution that can transform and transmit data efficiently across various communication protocols.
Innovation Solution
The implementation of a device connectivity engine within medical devices that transforms data from a medical-device specific format into an array of key-value pairs, populates templates, and transmits data to external servers using TCP/IP ports, allowing for seamless communication regardless of the server's data formatting requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If medical devices use device-specific data formats for communication, then device functionality and precision are maintained, but interoperability with external servers and systems is limited
Solution Approach 1:
The patent introduces a message broker as an intermediary component that receives data from medical devices in various device-specific formats and transforms it into a standardized format for external servers. This mediator handles the format conversion, routing, and protocol adaptation, allowing medical devices to maintain their native formats while achieving interoperability through the broker's translation layer.
Solution Approach 2:
The message broker dynamically changes data format parameters by transforming device-specific data structures into standardized formats. It modifies data representation, encoding schemes, and protocol parameters based on the source device type and target server requirements, enabling flexible adaptation without altering the medical devices themselves.
2Adaptability or versatility
If medical devices are modified to support multiple communication protocols, then interoperability improves, but device complexity and modification requirements increase
Solution Approach 1:
Rather than modifying medical devices to support multiple protocols, the patent places the protocol adaptation functionality in the message broker. The broker acts as a mediator that handles protocol conversion, allowing devices to communicate using their native protocols while the broker translates to the required server protocols, eliminating the need for device modifications.
Solution Approach 2:
The message broker is designed as a universal platform that can handle multiple communication protocols and data formats simultaneously. It provides multi-functional capability to adapt between different device-specific protocols and server requirements, serving as a single point of protocol management that eliminates the need for each device to implement multiple protocols.
3Measurement precision
If data transformation is performed at the device level, then data accuracy is maintained, but processing time and energy consumption increase
Solution Approach 1:
The message broker performs data transformation in a centralized location rather than at each device level. This allows for optimized transformation processes that can handle multiple data streams simultaneously, reducing the cumulative processing time that would result from individual device-level transformations while maintaining data accuracy through standardized transformation routines.
Solution Approach 2:
The system performs preliminary data validation and standardization at the message broker level before data is processed further. By preparing data in advance with a standardized format and structure, the system reduces subsequent processing time and avoids repeated transformation operations, while maintaining data integrity through pre-validation checks.
Data Source
AI summary
An example medical device includes a physiological measurement device and a computing device. The computing device includes a device management engine and a data connectivity engine. The device management engine is configured to receive data captured by the physiological measurement device. The data captured by the physiological measurement device is formatted in a first data format. The device connectivity engine is further configured to transform the data captured by the physiological measurement device into an array of key-value pairs. The device connectivity engine is further configured to populate a template with at least some of the values from the key-value pairs to generate a populated template. The populated template includes at least a portion of the data captured by the physiological measurement device in a second data format. The device connectivity engine is further configured to transmit the populated template.