Clinical Support Analysis for Specialist Referral Timing
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Solution Overview
Problem
Medical professionals face challenges in determining the appropriate timing and type of specialist support needed for holistic patient care, considering biological, mental, and social aspects, which are often overlooked in existing systems.
Innovation Solution
A clinical support system and apparatus that integrates patient data from various sources to analyze biological, mental, and social aspects, facilitating decision-making on when and whom to request specialist support through a comprehensive analysis and display of support request information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If medical workers rely on self-effort and experience to determine specialist support needs, then decision-making autonomy is maintained, but determination accuracy and comprehensiveness deteriorate
Solution Approach 1:
The patent introduces a clinical support apparatus as an intermediary between medical workers and patient data. This apparatus automatically determines specialist support needs by analyzing patient information, thereby improving determination accuracy without requiring medical workers to directly process complex data themselves. The apparatus acts as a mediator that handles the complex analysis while providing simple, actionable recommendations to clinicians.
Solution Approach 2:
The system enables automatic self-determination of specialist support needs through automated analysis of patient data. The clinical support apparatus independently processes patient information, compares it against established criteria, and generates support recommendations without requiring manual intervention from medical workers, thus improving accuracy while maintaining ease of use.
2Adaptability or versatility
If existing systems focus only on biological aspects, then medical practice simplicity is maintained, but holistic care quality deteriorates
Solution Approach 1:
The patent segments patient information into distinct categories: biological aspects, mental aspects, and social aspects. This segmentation allows the system to comprehensively analyze all dimensions of patient health while maintaining clear organizational structure. Each aspect is evaluated separately against relevant criteria, enabling holistic care determination without overwhelming complexity.
Solution Approach 2:
The clinical support apparatus is designed to handle multiple types of patient information (biological, mental, and social data) through a unified analysis framework. The system universally applies appropriate determination criteria to each type of information, enabling comprehensive holistic care assessment while maintaining consistent and manageable system operations.
3Productivity
If manual determination of specialist support is used, then system simplicity is maintained, but time consumption and productivity deteriorate
Solution Approach 1:
The system performs preliminary automated analysis of patient information to pre-determine specialist support needs before clinical decisions are finalized. By conducting this analysis in advance and automatically generating support recommendations, the system eliminates time-consuming manual evaluation while improving decision-making efficiency. The preliminary determination is ready when needed, reducing delays in care delivery.
Data Source
AI summary
A clinical support system according to an embodiment includes a clinical support apparatus, which is provided with processing circuitry, and a display device. The processing circuitry configured to acquire patient information related to a patient, interview information showing a response detail of the patient with respect to an interview, and conversation information recording a conversation of the patient; generate patient characteristic information showing a mental aspect and a social aspect of the patient by an analyzing process using the patient information, the interview information, and the conversation information; and determine at least one supporter, who is to be requested for the support, based on the patient characteristic information, a medical-practice event of the patient, and a request condition for requesting support in the medical-practice event. The display device displays a screen including information related to the determined supporter.