Passive Knowledge Acquisition System for Medical Data Privacy
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Solution Overview
Problem
The existing systems for sharing medical information across distributed sources face challenges such as privacy concerns, lack of interoperability, trust issues, proprietary data, and the burden of searching through vast amounts of information, making it difficult for individuals to access relevant medical knowledge in a timely and secure manner.
Innovation Solution
A method and system for passive knowledge acquisition that utilizes a set of responders, a situation generator, and an intervention controller to identify actionable situations and provide contextually relevant information without compromising private health information, by parsing agent data sets, notifying responders, and forwarding valid intervention recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If medical information is shared across distributed sources, then access to medical knowledge is improved, but privacy of private health information is compromised
Solution Approach 1:
The patent introduces an intermediary system (the knowledge acquisition system with situation generator and responder network) that mediates between information sources and users. This intermediary enables indirect access to medical information through structured queries and contextual matching, allowing users to obtain relevant knowledge without direct exposure to raw private health data from multiple sources.
Solution Approach 2:
The system segments the medical information access process into distinct functional components: situation generation module, responder network, and knowledge matching mechanisms. This segmentation allows selective disclosure of information - only the necessary contextual information is shared among segmented components, while complete private health records remain protected and accessible only to authorized users through the intermediary.
2Adaptability or versatility
If interoperability protocols are implemented, then information exchange between sources is improved, but system complexity and trust requirements increase
Solution Approach 1:
The patent implements a universal interface approach where the situation generator and responder network can interact with diverse information sources through a common standardized protocol. This multi-functional design allows the system to access medical information from various sources (electronic health records, research databases, clinical guidelines) without requiring separate complex integration mechanisms for each source type.
Solution Approach 2:
The intermediary system absorbs the complexity of interoperability by implementing standardized translation and communication protocols at the system level. This mediator handles the technical complexity of connecting diverse sources, presenting a simplified interface to both information providers and users, thereby reducing the complexity burden on individual components.
3Loss of information
If comprehensive medical information is made available, then completeness of knowledge is improved, but ease of accessing relevant information deteriorates
Solution Approach 1:
The system implements self-service through automated situation generation and intelligent knowledge matching. The situation generator automatically analyzes user queries and medical records to identify relevant information without requiring manual searching or filtering. The responder network automatically retrieves and validates information from distributed sources, presenting consolidated results to users, thereby eliminating the burden of manual information gathering while maintaining comprehensive knowledge access.
Solution Approach 2:
The system incorporates feedback mechanisms where the situation generator continuously refines queries based on initial results and user interactions. This feedback loop enables the system to progressively narrow down comprehensive information to the most relevant items, making access easier while maintaining completeness. The responder network also provides feedback on information validity and relevance, further streamlining the access process.
Data Source
AI summary
Disclosed herein are a method and system for delivering contextually relevant information from disparate information sources. The system includes: a set of responders, each responder being associated with at least one source of information; a situation generator for parsing an agent data set received from an agent to identify an actionable situation; and an intervention controller. The intervention controller: sends a notification of the actionable situation to a selected set of the responders; receives an intervention recommendation from at least one responder, the intervention recommendation being contextually relevant information for the identified actionable situation; determines whether the intervention recommendation is valid; and forwards the intervention recommendation to an intervention performer, when the intervention recommendation is valid.