Remote Exercise Rehabilitation System for Multi-Disease Management
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Solution Overview
Problem
Current remote health management systems are inadequate for patients with multiple chronic diseases, as they do not provide personalized and safe exercise rehabilitation programs, whereas most existing systems are designed for single diseases only.
Innovation Solution
A remote exercise rehabilitation management system that includes a server terminal, doctor terminal, and patient terminal, which allows for personalized exercise prescriptions based on patient health conditions, with features like applicable and inapplicable exercise item filtering, safety reminders, and integration of medical devices for real-time monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a remote health management system is designed for single disease, then the system complexity is reduced and ease of operation is improved, but the adaptability to patients with multiple chronic diseases deteriorates
Solution Approach 1:
The system is designed to handle multiple chronic diseases (diabetes, hypertension, coronary heart disease, obesity) within a single unified platform. The exercise prescription module can generate customized rehabilitation programs that accommodate various disease combinations, making the system universally applicable to diverse patient populations rather than requiring separate systems for each disease.
Solution Approach 2:
The system segments the exercise prescription process into distinct modules: fitness assessment, exercise program generation, real-time monitoring, and safety management. Each module can independently process specific disease requirements while contributing to the overall personalized rehabilitation plan, allowing the system to manage multiple diseases without becoming unmanageably complex.
2Reliability
If personalized exercise prescriptions are provided for multiple chronic diseases, then the reliability and safety of rehabilitation is improved, but the device complexity increases
Solution Approach 1:
The exercise prescription system dynamically adjusts rehabilitation programs based on real-time patient data from wearables and periodic fitness assessments. The system automatically modifies exercise intensity, duration, and type according to the patient's current health status and progress, ensuring reliable and safe rehabilitation while using algorithmic automation to manage the complexity of personalization for multiple diseases.
Solution Approach 2:
The system incorporates continuous feedback loops where patient performance data, physiological measurements, and progress metrics are collected and used to automatically adjust exercise prescriptions. This feedback mechanism ensures reliability by preventing unsafe exercise regimens while the automated adjustment process manages the complexity of tailoring programs for multiple chronic conditions.
3Productivity
If comprehensive fitness assessments and exercise prescriptions are implemented, then the effectiveness of rehabilitation is improved, but the loss of time for setup and configuration increases
Solution Approach 1:
The system performs preliminary fitness assessments and generates initial exercise prescriptions automatically upon patient enrollment, using standardized protocols for common chronic diseases. This preliminary action provides immediate personalized rehabilitation guidance without requiring extensive manual configuration, while still maintaining comprehensiveness through structured assessment frameworks.
Solution Approach 2:
The system enables patients to self-complete fitness assessments and provides automated exercise prescription generation based on their responses and medical history. This self-service approach reduces the time investment required from healthcare providers while maintaining comprehensive assessment quality through guided patient self-evaluation and automated algorithmic prescription generation.
Data Source
AI summary
The disclosure discloses a remote exercise rehabilitation management system for people with chronic diseases, including a server terminal, a doctor terminal and a patient terminal. Multi-disease integration principles are built in the server. Multiple independent fitness assessment protocol and multiple exercise rehabilitation prescriptions suitable for patients with different chronic diseases are stored in the server. The patient terminal collects the patient information by a health and lifestyle questionnaire, and transmits the patient information to the server. The server will design a fitness assessment protocol according to the patient's health information, and sends the fitness assessment protocol to the patient terminal. The patient terminal is able to present the fitness assessment protocol and collect patient's feedback. According to the feedback and built-in principles, the server will design an exercise prescription suitable to patient's health conditions.