AI-Mediated MDT Consultation for Multi-Party Medical Information
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The current service efficiency of multi-disciplinary treatment (MDT) processes for complex diseases is not high, particularly in the integration and coordination of multi-party medical information among experts from different disciplines.
Innovation Solution
A method and apparatus for interaction of multi-party medical information using a computer device and storage medium, which includes displaying medical statistical data, acquiring medical opinions, and determining a medical consultation conclusion through a virtual object, such as a multi-dimensional AI agent, to facilitate intelligent multi-party consultation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional multi-disciplinary treatment (MDT) processes are used for complex diseases, then comprehensive expert evaluation can be obtained, but service efficiency is low due to poor integration and coordination of multi-party medical information
Solution Approach 1:
The patent introduces a virtual object (AI agent) as an intermediary in the MDT consultation group to coordinate and integrate medical information from multiple disciplines. The virtual object receives medical data from members, processes it, and generates comprehensive analysis results, thereby improving service efficiency while managing the complexity of multi-party information integration.
2Reliability
If multiple experts from different disciplines participate in MDT consultations, then comprehensive evaluation quality improves, but coordination and information integration become more difficult
Solution Approach 1:
The virtual object serves as a mediator that standardizes information exchange between experts from different disciplines. It collects medical data from various members, processes the information systematically, and presents integrated analysis results, thereby maintaining high evaluation quality while reducing the complexity of information integration.
Solution Approach 2:
The patent segments the complex information integration task into distinct processing steps handled by the virtual object: data collection from members, individual analysis of medical information, synthesis of results, and presentation to the group. This segmentation manages the complexity of integrating multi-disciplinary information while preserving evaluation quality.
3Productivity
If manual coordination of medical information is used in MDT processes, then flexibility in discussion is maintained, but time consumption increases and efficiency decreases
Solution Approach 1:
The virtual object performs self-service by automatically collecting medical information from consultation group members, processing the data independently, and generating analysis results without requiring manual coordination. This automation significantly reduces the time needed for information integration while maintaining consultation flexibility.
Solution Approach 2:
The virtual object performs preliminary actions by pre-processing and organizing medical information before formal consultation discussions. It prepares structured data and preliminary analysis results in advance, reducing the time required during actual consultation meetings and improving overall efficiency.
Data Source
AI summary
Provided is a method for interaction of multi-party medical information, a computer device and a storage medium. The method includes: displaying medical statistical data of a target user in a pre-established multi-party consultation group for the target user, wherein the multi-party consultation group includes members of a plurality of medical disciplines associated with the target user and a virtual object; acquiring medical opinions for the target user fed back by the members in the multi-party consultation group; and determining, based on the medical opinions, a medical consultation conclusion for the target user.