Diagnostic Data Access Control for Qualified Unmanaged Devices
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Solution Overview
Problem
Existing systems face challenges in managing diagnostic data collection from unmanaged devices, which lack consistent quality control and maintenance, leading to unreliable and potentially insecure data that can impact accurate diagnosis and treatment.
Innovation Solution
A system and method for managing diagnostic data collection that registers and qualifies unmanaged devices, such as personal electronic devices, by establishing identification, cryptographic information, and performance tests, and implements access controls to ensure data quality and security, allowing selective access based on the device's capabilities and intended use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If diagnostic data is collected from unmanaged devices, then data collection versatility is improved, but data reliability and security deteriorate
Solution Approach 1:
The system performs preliminary registration and qualification of unmanaged devices before allowing diagnostic data collection. Devices must undergo capability assessment and security verification in advance, establishing a qualified device list that ensures data reliability before actual data collection occurs.
Solution Approach 2:
The system introduces an intermediary data management layer between unmanaged devices and the diagnostic system. This intermediary layer validates device capabilities, manages access controls, and ensures data quality, thereby bridging the trust gap between versatile unmanaged devices and reliable data requirements.
2Reliability
If access controls are implemented for diagnostic data, then data security is improved, but system complexity increases
Solution Approach 1:
The access control system is segmented into distinct components: device registration module, capability assessment module, access control module, and data management module. Each component handles specific security functions independently, making the overall complex security system more manageable and maintainable.
Solution Approach 2:
The system implements self-service mechanisms where devices automatically undergo capability assessment and security verification during registration. The system autonomously manages access control lists and data distribution based on pre-established device qualifications, reducing manual intervention in security management.
3Measurement precision
If unmanaged devices are registered and qualified, then data quality is improved, but collection process complexity increases
Solution Approach 1:
Device registration and capability qualification are performed as preliminary actions before data collection begins. This upfront assessment establishes a qualified device list that ensures data quality standards are met, eliminating the need for continuous complex verification during data collection.
Solution Approach 2:
The system implements feedback mechanisms where device capabilities are continuously monitored and verified against established criteria. Performance data from qualified devices is fed back into the system to maintain qualification status, ensuring ongoing data quality without requiring complex real-time verification.
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. Once obtained, the diagnostic data may be rated for different uses based on the performance of the hardware used to obtain the diagnostic data. Access controls for the diagnostic data may be put in place to manage distribution of the diagnostic data.