First-Party Framework for Secure Health Data Interchange
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Solution Overview
Problem
Existing technologies face challenges in managing and securely sharing personal health information across different devices and applications, particularly in ensuring user privacy and authorization control.
Innovation Solution
A system and method for managing user information that enables secure storage and interchange of health data types, allowing third-party applications to request and access specific data types while maintaining user authorization control through a first-party application framework, which includes background processes for data interpretation and aggregation, and supports the addition of new data types via asset downloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If third-party applications can access user health information, then application functionality is enhanced, but user privacy and data security are compromised
Solution Approach 1:
The patent introduces a first-party application framework as an intermediary between third-party applications and user health information. This framework acts as a mediator that receives requests from third-party applications, validates user authorization, and controls data access accordingly. The framework ensures that only authorized data is shared while maintaining user privacy and security.
2Adaptability or versatility
If new data types are added to support emerging health devices, then system adaptability is improved, but system complexity increases
Solution Approach 1:
The patent segments the data type management into distinct components: a first-party application framework that maintains a list of supported data types, and third-party applications that request specific data types. This segmentation allows new data types to be added to the framework without affecting the entire system, as each component can independently handle and validate data types.
Solution Approach 2:
The system dynamically manages data types by allowing the first-party framework to update its list of supported data types in response to new health devices. The framework can add, remove, or modify data type definitions without requiring system-wide changes, enabling flexible adaptation to emerging technologies while maintaining manageable complexity.
3Object-affected harmful factors
If authorization control is implemented for data access, then user privacy is protected, but access efficiency is reduced
Solution Approach 1:
The patent implements preliminary authorization checks before data access is granted. The first-party framework validates user authorization requests in advance, establishing clear access rules before any data transfer occurs. This preliminary action ensures security while streamlining the actual data access process, as authorized requests can proceed efficiently without repeated verification.
Data Source
AI summary
Systems, methods, and computer-readable medium are provided for managing user information. For example, instructions for implementing a background process configured to manage a first set of data types may be received from a service provider. A data download that includes information about the new data type may also be received from the service provider. A request to access data corresponding to the new data type may be received from an application. Additionally, in some examples, the data corresponding to the new data type may be provided to the application based at least in part on interpreting the data download.