Digital Assistant Health Record Extraction and Reply Generation
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Solution Overview
Problem
Current online health consultation platforms face challenges in interactivity and expertise, with inefficient and inaccurate collection of health information, and a lack of comprehensive health record management for multiple individuals or families.
Innovation Solution
The method involves extracting health information of a consulting object based on interactive information between a user and a digital assistant during health consultations, updating the health record, and generating replies from the digital assistant based on the health record and user messages.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If health information is manually collected during online health consultations, then the consultation process is simple to implement, but the accuracy and efficiency of health information collection deteriorates
Solution Approach 1:
The system enables automatic extraction and organization of health information from consultation transcripts without requiring manual input from doctors or patients. The digital assistant automatically identifies, extracts, and structures health information including symptoms, medical history, and diagnostic results, allowing the consultation process to serve its own information collection needs
Solution Approach 2:
Manual information collection methods are replaced with automated natural language processing and information extraction technologies. The system uses AI algorithms to automatically parse consultation dialogues, extract relevant health information, and update health records, substituting the mechanical manual process with an automated computational system
2Reliability
If comprehensive health records for multiple individuals are maintained, then the expertise and comprehensiveness of health consultation improves, but the complexity of health record management deteriorates
Solution Approach 1:
The health record management system is designed to handle multiple consulting objects simultaneously with a unified management interface. The same system infrastructure supports records for different individuals, families, or groups, allowing users to manage multiple health records through a single platform without requiring separate systems for each individual
Solution Approach 2:
The digital assistant serves as an intermediary between users and complex health record data. It automatically manages the organization, storage, and retrieval of health information for multiple consulting objects, shielding users from the underlying complexity while providing comprehensive health consultation capabilities
3Speed
If digital assistant replies are generated without considering historical health records, then the response speed is fast, but the expertise and personalization of health consultation deteriorates
Solution Approach 1:
Health information is extracted and stored in structured health records during and after consultation sessions. This preliminary organization of health data enables the digital assistant to quickly retrieve and apply relevant historical information when generating replies, without requiring real-time analysis of complete medical histories
Solution Approach 2:
The system continuously updates health records with information from each consultation session, creating a feedback loop where past consultations inform future recommendations. The digital assistant retrieves updated health record information and applies it to generate personalized replies, ensuring that each interaction benefits from accumulated health data while maintaining fast response times
Data Source
AI summary
Embodiment of the disclosure provides a method, apparatus, device and storage medium for information interaction. The method includes extracting health information of a first consulting object based at least on interactive information of a user and a digital assistant in at least one health consultation for the first consulting object. The user is associated with the first consulting object. The method also includes updating a health record of the first consulting object with the extracted health information. The method also includes in response to a current health consultation being initiated, generating a reply of the digital assistant to a message entered by the user based on the health record of the first consulting object and the message.