Secure Messaging Hub Parsing Unstructured Medical Text
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current online communication networks and messaging systems are inadequate for secure and efficient transmission of medical information, failing to comply with regulations like HIPAA and making it difficult for patients to communicate securely with healthcare providers.
Innovation Solution
A system that parses and tokenizes unstructured electronic messages to create structured, secure communications, allowing both Direct protocol and in-network messaging through the same network hub, ensuring compliance with medical privacy standards and enabling secure messaging between patients and providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If unstructured electronic messages are used for communication, then ease of operation is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The system segments unstructured electronic messages into structured components by parsing and tokenizing the free text into discrete elements. This segmentation allows the message to be stored and retrieved efficiently while maintaining the original unstructured format for user viewing, thus resolving the contradiction between ease of operation and difficulty of detection.
Solution Approach 2:
The system changes the parameter of message structure from unstructured to structured by applying parsing and tokenization algorithms. This transformation enables efficient searching and categorization while the system maintains the ability to present messages in their original unstructured form to users, thereby resolving the contradiction.
2Adaptability or versatility
If multiple messaging formats (Direct protocol and in-network communications) are supported through the same network hub, then adaptability is improved, but device complexity increases
Solution Approach 1:
The network hub acts as an intermediary that receives messages in various formats (Direct protocol, in-network communications, email, text messages) and converts them into a standardized internal format. This intermediary function enables multi-format support while maintaining relatively simple device architecture, resolving the contradiction between adaptability and complexity.
Solution Approach 2:
The network hub is designed with universal functionality to handle multiple messaging formats and communication protocols through a single platform. By implementing a unified architecture that can process various message types, the system achieves high adaptability without proportionally increasing device complexity.
3Reliability
If secure messaging systems are implemented to comply with HIPAA regulations, then reliability is improved, but ease of operation worsens
Solution Approach 1:
The system automatically handles security compliance requirements through built-in encryption, authentication, and message routing mechanisms. Users interact with a simplified interface that abstracts away the complex security protocols, allowing them to communicate securely without manually managing security settings, thus resolving the contradiction between reliability and ease of operation.
Data Source
AI summary
Disclosed herein is a secure messaging engagement hub for structuring of unstructured electronic messages. The secure messaging engagement hub has a natural language processor that structures an unstructured electronic message. The natural language processor structures the unstructured electronic message by using a lexical parser to parse free text within the unstructured electronic message. The natural language processor also may tokenize the parsed free text into tokens representing components of the parsed free text. Message component n-grams are generated based on the tokens representing the components of the parsed free text. The tokens are coded with various metadata tags based on an analysis of the tokens. The metadata tags indicate message components of the tokens. And a structured electronic message corresponding to the unstructured electronic message is generated, the structured electronic message comprising the tokens and the metadata tags.