Diagnostic Data Collection via Unmanaged Device Qualification
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Solution Overview
Problem
Existing systems face challenges in collecting reliable diagnostic data from unmanaged devices, which lack quality control and maintenance, impacting the accuracy of diagnosis and treatment.
Innovation Solution
A method and system for managing diagnostic data collection from both managed and unmanaged devices, involving registration, qualification, and secure data management to ensure data quality and security, using personal electronic devices like smartphones and smartwatches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If unmanaged devices are used for data collection, then the quantity of collected diagnostic data increases, but the reliability and quality of the data deteriorates
Solution Approach 1:
The system performs preliminary actions by registering unmanaged devices before data collection, establishing device profiles, capabilities, and security credentials in advance. This preliminary registration process enables the system to identify and qualify devices, ensuring only capable and secure devices can contribute diagnostic data, thereby maintaining data reliability while expanding the device base.
Solution Approach 2:
The patent introduces a data management system as an intermediary between unmanaged devices and healthcare providers. This intermediary performs qualification, validation, and security verification of devices and data, acting as a mediator that enables data collection from unmanaged devices while ensuring the reliability and security of the collected diagnostic information.
2Adaptability or versatility
If unmanaged devices are integrated into the system, then the versatility of data collection sources increases, but the system complexity increases
Solution Approach 1:
The data management system implements universal functionality by creating a unified registration, qualification, and data collection framework that works across diverse unmanaged devices (smartphones, smartwatches, tablets). This universal system handles device identification, capability assessment, security verification, and data validation in a consistent manner, enabling versatile data collection from multiple device types without proportionally increasing system complexity.
Solution Approach 2:
The system manages complexity by dynamically adjusting parameters such as data collection frequency, data types collected, and verification levels based on device capabilities and trust levels. The qualification process establishes device-specific parameters and procedures, allowing the system to adapt its operation to each device's characteristics rather than applying uniform complex protocols to all devices.
3Measurement precision
If comprehensive capability testing is performed on unmanaged devices, then the measurement precision of device capabilities improves, but the time required for device registration increases
Solution Approach 1:
The system applies partial action by performing capability testing only to the extent necessary to determine device suitability for specific diagnostic data collection tasks. Rather than comprehensively testing all possible device functions, the system conducts targeted capability assessments focused on relevant diagnostic functions, achieving sufficient measurement precision for the intended use while minimizing registration time.
Solution Approach 2:
The capability testing process incorporates self-service elements where unmanaged devices automatically provide information about their hardware and software capabilities during registration. The device itself performs self-assessment and reports its capabilities to the data management system, reducing the time required for external testing while maintaining measurement precision through automated capability detection.
Data Source
AI summary
Methods and systems for managing collection of diagnostic data are disclosed. To collect diagnostic data, unmanaged devices may be used. The unmanaged devices may be registered with a data management system. During the registration process, procedures for processing diagnostic data from the unmanaged devices may be established. The procedures may be established based on data collection performance of the unmanaged devices. The procedures may reduce the likelihood of use of diagnostic data that is unreliable.