The intelligent guidance system is a medical assistance software developed based on artificial intelligence and big data technology. It can quickly recommend departments and doctors by calculating and analyzing patients' symptoms, medical history and other information. By simply describing your symptoms, the system can find the most suitable department, enabling efficient online registration and convenient offline outpatient treatment.
Intelligent diagnosis system functions
1. Multi-channel access
Supports access to intelligent medical guidance in the form of public accounts, mini programs, apps, etc.
2. Natural language understanding
Medical AI and natural language processing technology are used to conduct semantic analysis of patient complaints and intelligently match the medical knowledge base.
3. Multiple input methods
It adopts the interactive method of AI chat robot, supports dual input of text and voice, and provides results immediately after multiple rounds of inquiries.
4. Human body diagram
Supports selecting the body discomfort location in the form of a human body part map and clicking on the disease/symptom of that part.
5. Recommendations for intelligent departments
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.
6. Doctor recommendation
Based on the user's disease/symptoms, doctors who specialize in the disease/symptoms are intelligently recommended.
7. Number source scheduling
Supports connection with the number sources of doctors in hospital departments, and gives priority to recommending doctors with number sources.
8. Direct registration
Intelligent recommendation of medical departments and doctors based on the user's disease/symptoms allows direct access to the registration page with one click, reducing the possibility of registering the wrong number online.
Intelligent diagnosis application scenarios
1. Intelligent hardware
Embed various types of intelligent hardware or robots to provide department recommendations
2. Medical and health platform
Empower the platform to provide patients with standard department treatment recommendations
Compare standard departments and accurately allocate online consultation departments
3. 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
4. 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
Advantage
1. Smart consultation
Patients can select symptom sites through body portraits, learn corresponding disease information and recommend medical departments.
2. Intelligent medical guidance
After selecting a medical department, the system automatically generates a medical treatment process for the patient and provides medical guidance services such as online appointment registration, self-service payment, and report printing.
3. Few interaction rounds
For common diseases, 3-5 rounds of interaction can provide accurate guidance results, avoid patients’ boredom, and improve the interaction completion rate.
4.AI intelligent question and answer
Intelligent consultation provides a question-and-answer conversational consultation service. The AI engine can intelligently identify the patient's intention (intention for consultation, intention to ask for a disease, intention to ask for medicine, intention for hospital consultation, etc.) and provide corresponding services. Both voice and text input methods are provided to facilitate patients to input information.
5. Rich medical knowledge
Intelligent diagnosis is based on massive medical literature, medical records, and medical questions and answers, and through in-depth learning of medical knowledge, it can reason about the patient's symptoms and provide guidance services.
6. Coverage of all departments
Intelligent consultation services cover all common departments in general hospitals to fully meet patients' guidance needs.
How hospitals implement intelligent diagnosis
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 patients. 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 realizing intelligent diagnosis services, patients’ privacy protection requirements must be strictly observed to ensure that patients’ personal information is protected.