Consultation System Using Questionnaire Preprocessing
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Solution Overview
Problem
Current Decision Support Systems (DSS) face inefficiencies in processing consultation information, particularly in matching consultation questions with relevant data and providing timely and accurate responses, leading to prolonged interaction times between users and decision-makers.
Innovation Solution
A method and apparatus that involve pushing questionnaires to users based on consultation information, acquiring and processing questionnaire results through a preset consultation model, and pushing results to relevant users, with features like searching for matching or associated questions and pushing common consultation questions to improve response efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If consultation information is directly forwarded to decision makers without preprocessing, then the consultation process is simple, but the response time is prolonged and accuracy is reduced
Solution Approach 1:
The system performs preliminary actions by pushing questionnaires to users before the consultation decision is made, collecting structured information in advance. This preprocessing of consultation information reduces the time needed during the actual consultation process, as decision makers receive pre-organized data rather than raw unprocessed information.
Solution Approach 2:
The consultation platform acts as an intermediary between users and decision makers, introducing a questionnaire-based information collection mechanism. This intermediary structure processes and organizes consultation information before forwarding it to decision makers, improving response accuracy while managing complexity through systematic information handling.
2Measurement precision
If questionnaires are pushed to collect user information, then the accuracy of consultation results is improved, but the operation complexity for users increases
Solution Approach 1:
The system applies local quality by pushing targeted questionnaires specific to each consultation type rather than using a generic form for all consultations. This allows users to provide only the relevant information needed for their specific consultation, improving accuracy while maintaining ease of operation by avoiding unnecessary questions.
Solution Approach 2:
The consultation platform implements a universal questionnaire system that can handle multiple types of consultations through a standardized interface. This multi-functional approach improves information accuracy through structured collection while maintaining ease of operation by providing a consistent user experience across different consultation scenarios.
3Speed
If consultation results are provided only after decision maker review, then the information is thoroughly analyzed, but the response speed decreases
Solution Approach 1:
The system performs preliminary analysis by automatically processing questionnaire results and generating initial consultation outcomes before they reach decision makers. This preliminary action speeds up response time by providing immediate automated insights, while decision makers retain the ability to review and ensure reliability of the final consultation results.
Solution Approach 2:
The consultation platform implements a feedback mechanism where automated consultation results are provided to users immediately, and decision maker reviews serve as a secondary feedback layer. This multi-level feedback system improves response speed through automated immediate results while maintaining reliability through optional expert review.
Data Source
AI summary
Embodiments of the present disclosure provide a method and apparatus for processing consultation information. A specific implementation of the method includes: pushing, in response to receiving consultation information of a first user, a questionnaire corresponding to the consultation information to the first user; acquiring a questionnaire result corresponding to the questionnaire and submitted by the first user; inputting the questionnaire result into a preset consultation model, to obtain a first consultation result; pushing the questionnaire result and the first consultation result to a second user; and in response to receiving a second consultation result provided by the second user based on the questionnaire result and the first consultation result, pushing the second consultation result to the first user.