Mobile Health Intelligent Medical Guide System
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Solution Overview
Problem
Existing mobile medical technologies lack intelligent auxiliary functions for patient self-diagnosis and fail to effectively integrate doctor information, leading to inconsistent quality of mobile medical services due to subjective patient-driven doctor selection.
Innovation Solution
A mobile health intelligent medical guide system comprising a mobile medical terminal and a cloud server with a voice recognition module, medical knowledge base, and data management module that uses text segmentation, fuzzy matching, and optimization algorithms to quickly and accurately diagnose patient conditions and recommend suitable doctors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If patients subjectively select doctors based on personal experience, then the selection process is simple and quick, but the quality of mobile medical services cannot be guaranteed
Solution Approach 1:
The system enables automatic doctor recommendation based on patient symptoms and medical records, allowing the system to serve itself in matching patients with appropriate doctors without requiring subjective patient selection
Solution Approach 2:
The system incorporates feedback mechanisms by evaluating doctor performance based on treatment outcomes and patient reviews, continuously optimizing doctor recommendations to improve service quality
2Ease of operation
If existing mobile medical products simplify the patient treatment process, then convenience is improved, but intelligent auxiliary function for patient self-determination is not achieved
Solution Approach 1:
The system replaces manual doctor-patient communication with automated intelligent assistance using natural language processing and medical knowledge bases to enable patient self-determination
Solution Approach 2:
The system introduces an intelligent intermediary layer between patients and doctors, using AI algorithms and medical knowledge bases to facilitate informed patient self-determination while maintaining professional medical guidance
3Loss of time
If mobile health provides medical services through mobile Internet, then registration and queuing time is saved, but effective integration of doctor information is not achieved
Solution Approach 1:
The system merges multiple data sources including doctor information, patient records, and medical knowledge bases into a unified integrated platform, enabling comprehensive information access while maintaining mobile convenience
Data Source
AI summary
The present invention discloses a mobile health intelligent medical guide system and method thereof. The method comprises: collecting patient chief complaint by use of a mobile terminal, sending the patient chief complaint to a cloud server through the mobile phone device internet, analyzing and processing the patient chief complaint by use of the keyword extraction, text word segmentation, fuzzy matching and sorting recommendation technologies based on a medical knowledge base, automatically generating a disease examination result, and generating an intelligent medical guide result to be fed back to the mobile terminal in combination with the doctor information; and then optimizing the disease examination result and the intelligent medical guide result one by one until the patient ends the query or the diagnosis result achieves the optimum. The system can assist the patient to perform self-helped disease examination and medical guide in the mobile environment.