Implantable Medical Device Data Access via Mobile Intermediary
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Solution Overview
Problem
Medical devices, especially implantable ones, generate data that is not easily accessible to users in real-time, leading to frustration and inefficiencies as users cannot view data during routine activities or minor incidents without visiting a medical facility, due to limited memory storage and lack of direct data access.
Innovation Solution
A system where medical devices are communicatively coupled with mobile devices via wireless connections, allowing users to view and analyze data through a mobile interface, which can include displays for real-time monitoring and alerts, and optionally a cloud-based memory device for increased storage and analysis capabilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If medical device data is stored only in internal memory, then device complexity is reduced, but data accessibility and real-time monitoring capability deteriorate
Solution Approach 1:
The system divides data storage and processing into two segments: internal memory within the medical device for basic data retention, and external memory in a separate computing device for comprehensive data storage and analysis. This segmentation allows users to access data externally without increasing the complexity of the implanted medical device itself.
Solution Approach 2:
A computing device acts as an intermediary between the medical device and the user. The computing device receives data from the medical device via wireless communication, stores it in external memory, and presents it to the user through a user interface, thereby enabling data accessibility without requiring the medical device itself to be complex.
2Measurement precision
If users visit medical facilities frequently to check data, then measurement precision is improved, but loss of time and productivity deteriorate
Solution Approach 1:
The system enables users to self-monitor their own medical data through the computing device and user interface. Users can independently access, view, and analyze their data without requiring visits to medical facilities or interaction with healthcare providers, thereby eliminating time loss while maintaining data accuracy through direct data transfer from the medical device.
Solution Approach 2:
The system performs preliminary data collection and storage in the computing device before any user analysis is needed. Data is continuously transferred and stored in advance, so when users want to review their data, it is already available immediately without requiring any preliminary visits to medical facilities or data retrieval processes.
3Quantity of substance
If internal memory capacity is increased, then data storage capability is improved, but device complexity and manufacturing cost deteriorate
Solution Approach 1:
The system extracts the large-capacity memory function from the medical device and places it in a separate computing device. The medical device retains only minimal internal memory for basic operations, while the computing device handles comprehensive data storage with its larger memory capacity, thereby avoiding the need to increase the complexity and manufacturing cost of the implanted medical device.
Data Source
AI summary
Systems, apparatuses, and methods related to medical device data analysis are described. In some examples, a medical device is implanted in a user of the medical device and the data generated by the medical device is not easily accessible to the user. In an example, a controller can be configured to receive, by a mobile device coupled to a medical device, data from the medical device, where the data is a part of a baseline dataset related to the medical device. The controller can be configured to receive different data from the medical device, where the different data is received from the medical device as the different data is generated by the medical device, analyze the data from the medical device and the different data generated by the medical device, and perform an action based on the analyzed data and the different data generated by the medical device.


