Confidential Information Access Control for Incapacity Planning
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Solution Overview
Problem
Existing systems fail to provide a comprehensive and secure management and communication system for confidential information related to an individual's health, social, and financial well-being, especially during periods of incapacity or death, leading to inadequate implementation of the person's plans and instructions due to siloed information and privacy concerns, which can result in delayed or conflicting actions by professionals.
Innovation Solution
A comprehensive confidential information management and communication system utilizing a deep learning model to analyze and predict outcomes, manage and update information securely, and communicate relevant data to professionals based on predefined rules and relationships, ensuring timely and secure implementation of the individual's plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If a comprehensive information management system is implemented to share confidential information among professionals, then the timeliness and coordination of plan implementation is improved, but security risks and privacy concerns increase
Solution Approach 1:
The system segments confidential information into different categories (health, financial, legal, etc.) and grants different levels of access to different professionals based on their specific needs and authorization. This allows timely information sharing with relevant professionals while maintaining security by restricting access to only necessary information portions.
Solution Approach 2:
The system introduces a centralized secure platform as an intermediary between the individual and various professionals. This mediator manages information distribution, controls access permissions, and ensures that confidential information is shared only with authorized professionals who have legitimate needs, thereby reducing security risks while enabling timely coordination.
2Reliability
If information is shared among multiple professionals, then the quality of plan implementation is improved, but information security and privacy protection deteriorate
Solution Approach 1:
The system applies different security and access control measures to different types of information based on their sensitivity and the specific professional context. Each professional receives only the information locally relevant to their role, with access rights tailored to their specific needs, thereby maintaining privacy protection while ensuring high-quality plan implementation through appropriate information sharing.
3Productivity
If a centralized system stores all confidential information, then access efficiency is improved, but system complexity and security vulnerabilities increase
Solution Approach 1:
The centralized system is segmented into modular functional components (access control module, information storage module, communication module, etc.) that can be independently managed and secured. This modular architecture improves access efficiency through centralized coordination while reducing overall system complexity by allowing each module to be developed and maintained separately with focused security measures.
Data Source
AI summary
A comprehensive confidential information management and communication system and method to gather, maintain, update, and cross-reference information and instructions pertinent to a person's health, social, and financial well-being during later years, and implementation of plans for possible incapacity and for eventual death, coordinating with various professional service providers each having an independent professional relationship with the person, and timely securely conveying appropriate information and instructions to the appropriate professionals upon changes of conditions or instructions. The comprehensive confidential information management and communication system provides a rules-relationship database, an information database, a system server with processing circuitry and memory, an access controller, deep learning model analysis of each person's information, rules, and relationships, deep learning model analysis and update of outside rules and information, authorizing use of the system, updating by the person of the rules-relationships database and the information database, updating by a professional of the information database, and secure means for a professional to receive relevant updated information from the information database.