FHIR Mobile Sensing Platform for Cross-Device Mental Health Data
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Solution Overview
Problem
There is a lack of a standardized mobile sensing platform for seamless integration of data from different mobile devices, particularly in mental healthcare, due to the evolution of mobile platforms introducing their own native software and drivers, which hinders data interchange across various devices.
Innovation Solution
A mobile sensing platform and system utilizing the HL7 FHIR standard for seamless integration of mobile devices, automating data integration and conversion across distinct platforms, including personal health devices and applications, using a Flutter application with Dart programming language to decode and upload data to a FHIR server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If mobile platforms evolve with their own native software and drivers, then device functionality and capabilities are improved, but data interchangeability and integration across different platforms deteriorate
Solution Approach 1:
The patent implements a FHIR server as an intermediary component that mediates between diverse mobile devices with different native software and drivers. The server receives data from various devices through standardized FHIR interfaces, enabling data interchange without requiring direct integration between devices. This resolves the contradiction by allowing device functionality to evolve independently while maintaining standardized data exchange through the intermediary server.
Solution Approach 2:
The FHIR server provides universal data exchange capabilities that work across all mobile platforms (Android, iOS, etc.). By implementing a universal standardized interface, the system enables data interchange from any device regardless of its native platform, resolving the integration complexity issue while preserving device-specific functionality enhancements.
2Productivity
If data is scattered across various mobile devices and platforms, then device-specific optimization is improved, but real-time data access and integration in healthcare settings deteriorate
Solution Approach 1:
The patent merges data from multiple scattered mobile devices into a centralized FHIR server while preserving the original device-specific data formats. The server consolidates health data, usage data, and sensor data from various platforms into a unified accessible repository, enabling real-time data access in healthcare settings without losing device-specific optimization capabilities.
Solution Approach 2:
The FHIR server acts as an intermediary that aggregates data from scattered mobile devices while maintaining data integrity and accessibility. Healthcare providers can access consolidated real-time data through the server without disrupting the native data collection processes on individual devices, thus preserving both device-specific optimization and data accessibility.
3Reliability
If native software and drivers are implemented for each mobile platform, then platform-specific performance is improved, but seamless data integration and interchange across platforms deteriorate
Solution Approach 1:
The FHIR server serves as a mediator that receives data from mobile platforms with their native software and drivers while translating and standardizing the data formats. This allows each platform to maintain its optimized native performance while the server handles the complexity of data interchange, presenting a unified standardized interface to healthcare systems.
Solution Approach 2:
The system segments the integration complexity by separating device-specific data collection (handled by native platform software) from data exchange (handled by the FHIR server). This segmentation allows each component to operate independently at its optimal level, with the server managing the interoperability layer that enables seamless data interchange across platforms.
Data Source
AI summary
A mobile sensing platform and system for mental healthcare that supports seamless integration of different mobile devices into the health system is disclosed. The mobile sensing platform and system for mental healthcare uses the HL7 FHIR standard to seamlessly integrate the various, different mobile devices into the health system.