Medical Data Aggregation System for Privacy-Preserving Syndrome Detection
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Solution Overview
Problem
Emergency medical providers face challenges in communicating with individuals in distress and detecting medical syndromes like SARS due to mobility and legal restrictions on private medical information, which can hinder timely response during outbreaks.
Innovation Solution
A system of mobile personal medical devices that collect and aggregate medical information, comparing parameters to stored syndromes and standards, and transmitting alerts or data to remote systems for analysis, while ensuring privacy through shared keys.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If mobile personal medical devices collect and transmit individual medical information, then detection capability of medical syndromes is improved, but privacy protection and data security are compromised
Solution Approach 1:
The patent extracts and removes personally identifiable information from medical data before aggregation and analysis. Individual devices collect detailed medical information, but only anonymized aggregates are transmitted to remote systems, separating identifying data from analytical data to maintain privacy while enabling syndrome detection.
Solution Approach 2:
The patent introduces an intermediary aggregation system that receives data from multiple mobile devices, performs anonymous aggregation, and transmits only synthesized results to remote systems. This intermediary layer acts as a buffer that protects individual privacy while enabling collective analysis for syndrome detection.
2Measurement precision
If medical information is aggregated from multiple mobile devices, then syndrome detection accuracy is improved, but system complexity and data management burden increase
Solution Approach 1:
The patent segments the system into distinct functional components: mobile devices for data collection, aggregation systems for anonymous synthesis, and remote systems for analysis. This segmentation distributes complexity across multiple independent modules, making the overall system more manageable while enabling accurate syndrome detection through coordinated operation.
Solution Approach 2:
The patent implements self-service mechanisms where mobile devices automatically perform local preprocessing and anonymization of their own data, and the aggregation system automatically synthesizes data from multiple sources without manual intervention. This automation reduces operational complexity while maintaining high detection accuracy.
3Loss of time
If real-time medical data aggregation is implemented, then response time to medical emergencies is improved, but data transmission requirements and energy consumption increase
Solution Approach 1:
The patent implements periodic data transmission and aggregation cycles rather than continuous real-time streaming. Mobile devices collect data locally and transmit aggregated information at scheduled intervals, reducing energy consumption while maintaining timely response capability for urgent medical situations.
Solution Approach 2:
The patent performs preliminary data processing, anonymization, and aggregation at the source devices before transmission. By preparing data in advance and filtering out non-critical information locally, the system reduces the volume and frequency of transmissions, thereby lowering energy consumption while preserving rapid response capability for actual emergencies.
Data Source
AI summary
A method of aggregating medical information can include receiving, at a remote aggregation system, individual syndromes collected by mobile personal medical devices associated with respective bodies as the mobile personal medical devices move within an environment, aggregating the individual syndromes at the remote aggregation system, and determining whether an environmental syndrome exists for at least some of the individual syndromes. Related systems and computer program products are also disclosed.