Diagnosis Server for Digital Biomarker Data Analysis
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Solution Overview
Problem
Current health-related data collection through wearable devices lacks sophisticated systems for accurate data analysis and integration into medical practices, limiting their utility in user health management and diagnosis.
Innovation Solution
A method and apparatus for a digital biomarker-based diagnosis system that receives data from user equipment, generates diagnostic data, and transmits prescription data, utilizing a diagnosis server to process digital biomarker data from various sources like smartphones and wearables to provide actionable health insights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If health-related data is collected through wearable devices, then data availability for health management is improved, but the system lacks sophistication for accurate data analysis and integration into medical practices
Solution Approach 1:
A diagnosis server acts as an intermediary between wearable devices and medical practitioners. The server receives raw health data from multiple wearable devices, processes it through sophisticated algorithms, and generates diagnostic results that can be integrated into medical practices. This intermediary system bridges the gap between simple data collection and accurate medical-grade analysis.
Solution Approach 2:
The system merges data from multiple wearable devices and multiple data sources (user input, environmental sensors) into a unified diagnostic framework. By combining heterogeneous data sources and processing them through a centralized diagnosis server, the system achieves sophisticated analysis capabilities that exceed individual device limitations.
2Adaptability or versatility
If multiple types of health data are collected from various sources, then the comprehensiveness of health information is improved, but the complexity of data processing and analysis increases
Solution Approach 1:
The diagnosis server is designed as a universal platform that can process multiple types of health data from various sources including wearable devices, user inputs, and environmental sensors. It performs multiple functions: data aggregation, validation, analysis, and diagnostic result generation, making it adaptable to diverse data sources without requiring separate processing systems for each device type.
3Speed
If health data processing is performed locally on user equipment, then response time is improved, but the computational power and analysis sophistication are limited
Solution Approach 1:
The system transitions from local processing on user equipment to cloud-based processing on a diagnosis server, adding a new dimension to the architecture. This dimensional shift enables access to powerful computational resources and sophisticated algorithms that were unavailable on consumer devices, significantly improving diagnostic accuracy while maintaining practical response times through efficient data transmission protocols.
Data Source
AI summary
A method of diagnosis based on biomarker and apparatus for performing the method includes receiving, by a diagnosis server, digital biomarker data from user equipment, generating, by the diagnosis server, basic diagnostic data on the basis of the digital biomarker data and generating, by the diagnosis server, diagnostic result data on the basis of the basic diagnostic data.