With the rapid development of artificial intelligence technology and the mature application of speech recognition and natural language understanding technology, intelligent medical guidance based on artificial intelligence has gradually appeared in the patient's life perspective. The intelligent medical guidance system has been applied to hospital medical scenarios, providing Provide patients with services such as guidance and information inquiry, which meets the needs of smart hospital construction, increases patient service channels, and improves patients' medical experience.
Intelligent diagnostic guidance can accurately recommend departments and doctors based on the user's symptom description, intelligently learn the hospital's historical data and automatically compare departments. After being connected to the hospital's system, patients can directly complete the appointment. Seamless information docking, massive disease database, and 3D portrait intelligent diagnosis.
1. Smart diagnosis source code usage technology
Development language: java
Development tools: IDEA
Front-end framework: Uniapp
Backend framework: springboot
Database: mysql
Mobile terminal: WeChat applet, H5
Technical architecture: springboot+redis+mybatis plus+mysql+RocketMQ
2. Usage scenarios
Can be expanded to H5, small programs, apps, etc. It can be used in various complex scenarios, including mobile phones, tablets, hospital all-in-one machines, computers, and embedded in the Internet hospital system to connect to hospital registration and consultation, integrate future trends of voice smart guidance, etc., or be used alone for AI smart guidance.
3. Characteristics of smart diagnosis system
1. Support access to intelligent medical guidance in the form of official accounts, mini programs, apps, etc.;
2. Supports selecting the location of body discomfort in the form of a 3D human body part map and clicking on the symptoms of that part;
3. Use medical AI and natural language processing technology to conduct semantic analysis of patient complaints and intelligently match the medical knowledge base;
4. Adopt the interactive method of AI chat robot, and the results will be obtained after multiple rounds of inquiries;
5. Based on the AI engine, it can accurately recommend hospital departments based on the condition and accompanying symptoms described by the patient, as well as the patient's gender and age characteristics.
4. Application Scenarios of Smart Guidance System
1. Smart hospital
Help patients determine which department they should register with and reduce inter-department transfer rates
Help hospital guidance staff receive registration-related issues
Connected to the hospital registration system, you can register directly after completing the consultation
2. Internet hospital
Help patients determine which department they should register with and reduce inter-department transfer rates
Compare standard departments and accurately allocate online consultation departments
3. Medical and health platform
Empower the platform to provide patients with standard department treatment recommendations
Compare standard departments and accurately allocate online consultation departments
5. How do smart hospitals implement intelligent diagnostic services?
1. Data collection and integration: Hospitals need to collect and integrate patients’ medical data, including medical records, laboratory results, imaging data, etc. At the same time, relevant medical databases and knowledge bases can also be integrated to provide support for diagnosis.
2. Patient information collection: When a patient comes to the hospital, the patient's basic information, symptom description, medical history, etc. can be collected through the intelligent consultation system. This can be achieved through speech recognition and natural language processing technology.
3. Intelligent analysis and diagnosis: Use artificial intelligence technology to analyze and diagnose the information provided by the patient. Machine learning, deep learning and other technologies can be used to train models to help the system automatically identify diseases and provide preliminary diagnosis and treatment suggestions.
4. Intelligent diagnosis and recommendation: Based on the results of intelligent analysis, the system can give targeted diagnosis suggestions, including recommending relevant specialists, medical examinations, treatment plans, etc. These recommendations can be presented to doctors and patients through mobile applications, electronic medical record systems, etc.
5. Doctor’s auxiliary tool: The intelligent guidance system can be used as a doctor’s auxiliary tool to help doctors obtain patient’s condition information more quickly and provide reference opinions. However, the final diagnosis and treatment decisions remain with the physician.
6. Continuous optimization: The intelligent diagnostic guidance system should be continuously optimized and upgraded, and the accuracy and intelligence level of the system should be improved by continuously accumulating new medical data and experience.
7. Privacy and security: In the process of implementing intelligent diagnosis services, patients’ privacy protection requirements must be strictly observed to ensure that patients’ personal information is protected.
Through the above steps, smart hospitals can implement intelligent guidance services, improve medical efficiency and service quality, and provide patients with a better medical experience.
In order to better facilitate patients' medical treatment and improve their medical experience, the intelligent medical guidance system uses intelligent human-machine dialogue to place accurate medical guidance services before making an appointment for medical treatment, so that patients can quickly obtain the most suitable department recommendations. Make medical services more accurate and efficient from the source, and support the construction of mobile Internet hospitals.