Question Assisting Server for Patient-Doctor Communication
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Solution Overview
Problem
Patients and their families face difficulties in understanding and articulating their concerns during informed consent processes due to limited medical knowledge and the complexity of medical explanations, leading to potential misunderstandings and inefficiencies in communication with healthcare providers.
Innovation Solution
A diagnosis/treatment assisting system that includes a patient terminal and a question assisting server, which generates and converts patient questions into more appropriate, medically accurate, and polite expressions, allowing for smoother communication between patients and doctors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If doctors provide detailed medical explanations during informed consent processes, then the completeness of information provided is improved, but the time required for explanations increases
Solution Approach 1:
The system performs preliminary action by automatically generating appropriate questions for patients to ask before the actual consultation occurs. The question generation function creates a list of potential questions based on the patient's medical condition, treatment plan, and historical data, allowing patients to prepare in advance without extending the consultation time itself.
Solution Approach 2:
The system acts as an intermediary between patients and doctors by providing an automated question generation tool. This intermediary function bridges the information gap by translating complex medical treatment plans into patient-friendly questions, facilitating more efficient communication during the consultation without requiring additional time from either party.
2Loss of information
If patients ask detailed questions about their treatment, then the quality of communication with doctors is improved, but the complexity of articulating concerns increases
Solution Approach 1:
The system enables self-service by allowing patients to independently generate their own questions using the automated question generation function. Patients input basic information about their treatment, and the system automatically creates personalized questions without requiring patients to have medical knowledge or articulate their concerns complexly themselves.
Solution Approach 2:
The system applies parameter changes by transforming the complexity parameter from the patient side to the system side. The question generation function handles the complex task of formulating medically accurate questions by analyzing treatment plans and converting them into patient-friendly language, thereby reducing the articulation complexity burden on patients while maintaining high communication quality.
3Productivity
If patients prepare questions in advance, then the efficiency of consultation is improved, but the medical knowledge required to formulate appropriate questions increases
Solution Approach 1:
The system serves as an intermediary that eliminates the need for patients to possess medical knowledge for question formulation. The question generation function acts as a mediator between the treatment plan data and the patient's understanding, automatically creating appropriate questions without requiring the patient to bridge the medical knowledge gap themselves.
Solution Approach 2:
The system replaces the mechanical process of patients manually formulating questions based on their own medical understanding with an automated computational system. The question generation function uses natural language processing and medical knowledge bases to substitute for the patient's limited medical knowledge, enabling efficient consultation preparation without increasing the patient's knowledge requirements.
Data Source
AI summary
A diagnosis assisting apparatus according to an embodiment includes a processing circuit and a display circuit. The processing circuit is configured to obtain a first question represented by a question from a patient to a medical doctor. The processing circuit is configured to analyze content of the obtained first question. The processing circuit is configured to convert the first question into a second question having equivalent content and using a different expression, on the basis of a result of the analysis. The display circuit is configured to display the second question.