Medical Chat Candidate Message Generation
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Solution Overview
Problem
Current medical information processing systems for diseases like cerebral embolism and pulmonary embolism are hindered by cumbersome message input tasks, which can delay critical decision-making due to the need for character string input during team medical care.
Innovation Solution
A medical information processing apparatus that uses processing circuitry to obtain message records, role information, and progress information to identify and display candidate messages on an input screen, reducing the need for manual input and expediting decision-making through a chat application.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If team members manually input character strings for chatting in the medical care sharing application, then message exchange functionality is achieved, but the operation becomes cumbersome and time-consuming, hindering swift decision-making in urgent medical situations
Solution Approach 1:
The system performs preliminary actions by automatically generating candidate messages based on the current care situation, progress information, and message records before the user needs to input anything. The processing circuitry identifies and presents multiple candidate messages that team members can simply select from, eliminating the need for manual character string input and significantly reducing the time required for message exchange in urgent medical situations
Solution Approach 2:
The system serves itself by automatically creating relevant messages based on the care situation without requiring user initiation. The processing circuitry autonomously analyzes message records, role information, and progress information to generate candidate messages, allowing the system to provide message suggestions proactively rather than waiting for users to manually compose each message
2Productivity
If the system provides multiple candidate messages based on role and progress information, then decision-making speed is improved, but the complexity of the information processing system increases
Solution Approach 1:
The information processing is segmented into distinct functional modules: obtaining message records, obtaining role information, obtaining progress information, identifying candidate messages, and displaying them. This modular segmentation allows the complex processing to be managed through separate, specialized components, making the system more maintainable and easier to implement while still achieving rapid decision-making through comprehensive message candidate generation
Data Source
AI summary
The medical information processing apparatus includes a processor. Through a channel opened on a chat application and used for discussing a target medical care, the processor obtains a record of messages that have been entered by the channel members. The processor obtains role information, which represents the role of a target member among the channel members. The processor also obtains progress information, which represents the current progress of the target care. The processor identifies one or more candidates for a message to be entered by the target member based on the message record, role information and/or progress information. The processor displays the one or more candidates on an input screen relating to the channel of the target member.