Medical Support Apparatus for Personalized Adverse Event Evaluation
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Solution Overview
Problem
Conventional automatic response systems in medical support systems cannot provide individualized responses to patients' consultations, leading to increased doctor workload and inefficiencies in cancer treatment and other medical treatments requiring prognosis follow-up.
Innovation Solution
A medical support apparatus and system that acquires patient medical information, predicts adverse events, supplies personalized inquiries to patients, receives responses, evaluates adverse events, and determines appropriate handling strategies, integrating with both patient terminals and doctor systems to minimize workload and ensure individualized care.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a conventional automatic response system is used to respond to patient consultations, then the doctor's workload is reduced, but the response cannot reflect the patient's individual treatment progress
Solution Approach 1:
The system continuously acquires patient medical information and treatment progress data, uses this feedback to dynamically generate personalized response content, and updates the response based on the patient's individual condition changes, thereby resolving the contradiction between automated response and individualized care
Solution Approach 2:
The system changes the response parameters from fixed templates to dynamic content generation based on patient-specific parameters such as treatment progress, adverse events, and individual medical history, enabling both automation and personalization
2Adaptability or versatility
If doctors respond to each patient incident outside the hospital, then individualized care is provided, but the doctor's workload increases
Solution Approach 1:
The system performs self-service by automatically acquiring patient information, evaluating treatment progress, generating personalized responses, and communicating with patients outside the hospital, thereby providing individualized care without increasing doctor's workload
Solution Approach 2:
The system acts as an intermediary between doctors and patients, handling routine consultations and information exchange outside the hospital, while allowing doctors to focus on complex cases requiring their expertise
3Device complexity
If fixed phrase responses are used in automatic response systems, then the system complexity is reduced, but the response cannot reflect patient-specific conditions
Solution Approach 1:
The system performs preliminary actions by pre-acquiring and storing patient medical information, treatment plans, and adverse event data before consultations, enabling accurate personalized responses without increasing real-time system complexity
Solution Approach 2:
The system segments the response generation process into modular components: information acquisition module, evaluation module, response generation module, and communication module, making the complex task manageable while maintaining high response accuracy
Data Source
AI summary
The medical support apparatus according to the present embodiment comprises processing circuit configured to acquire interview information related to an adverse event predicted for a patient and supply the interview information to a patient terminal; and receive an interview result information, which is a patient's response result to the interview information, and evaluate a patient's adverse event based on the interview result information.