"Smart Guidance" relies on artificial intelligence to provide people with services such as intelligent triage and medical information, which to a certain extent meets people's needs for self-health management and accurate registration. Intelligent guidance can provide department references suitable for the disease based on the described location and disease.
The Smart Guide page will display the male or female body structure diagram, and the front/back can be switched. By clicking on the part option, select the part of your body where you feel unwell, and the system will list all symptomatic diseases in that part. Patients only need to select the same symptoms as themselves, and the system will list the introduction of the disease and the recommended departments.
Development language: java
Development tools: IDEA
Front-end framework: Uniapp
Backend framework: springboot
Database: mysql
Mobile terminal: WeChat applet, H5
Symptom confirmation
Self-service consultation first collects the patient's basic characteristics such as gender and age, and allows the patient to select relevant symptoms. Patients can select multiple symptoms, and the system will make an initial diagnosis based on the symptoms.
disease screening
After completing the physical sign screening, the system further obtains symptom details, such as duration, frequency, accompanying symptoms, onset time, disease status, etc.
Department reference
Each patient's answer will be uploaded to the cloud in real time, and the system will perform intelligent calculations based on the hospital's professional medical knowledge base and finally give the patient a reference for the department suitable for the disease.
Application scenarios of intelligent medical guidance system:
It can be used alone for AI intelligent guidance; it can be extended to multiple terminals such as H5, small programs, and apps; it can be used in various complex scenarios, such as mobile phones, tablets, hospital all-in-one machines, computers, and embedded in the Internet hospital system to connect to hospital registration and consultation, integrating future trends Voice smart guidance.
The operation process of using the smart diagnosis system:
1. Select age and gender, confirm children, adults and elderly, female and male.
2. Select the front or back of the human body, click on the uncomfortable part, and submit.
3. If certain diseases are further confirmed, the patient will be asked to choose the corresponding option.
4. Based on the information provided by the patient, relevant suggestions will be provided according to the situation, and ultimately the department recommended.
Features of the intelligent medical guidance system:
(1) Support classified guidance based on gender;
(2) Quickly set the symptom location, skin/body;
(3) Supports 360° rotation of the 3D human body model, eliminating the need to touch the human body model without blind spots;
(4) Supports two-point touch, which can microscopically display symptom areas;
(5) The screen is simple and elegant, making it easy for patients to choose and operate;
(6) A conspicuous position reminds patients that they should register with the department;
Advantages of intelligent diagnosis system
(1) Achieve self-help and correct guidance for patients and improve the speed of the registration window;
(2) Reduce the probability of patients registering the wrong number or registering repeatedly, and improve the efficiency of diagnosis and treatment;
(3) Reduce the workload of medical staff at the guidance desk and improve work efficiency;
(4) Reduce the problem of difficult training caused by the uneven professional level of nurses at the guidance desk;
(5) Improve patient satisfaction with the hospital and reduce unnecessary doctor-patient conflicts:
(6) Improve service efficiency and improve the service environment;
(7) Improve the hospital's brand publicity and enhance the hospital's visibility.
How does the hospital implement intelligent medical guidance service?
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.
Summarize:
According to the gender differences of the human body, the intelligent diagnosis system has designed two 3D models of men and women, which are used to read and interact with data information between the disease database and self-service diagnosis. In the software disease database, common symptoms of different patients are combined Symptoms are classified and integrated. Patients can select symptom sites through body portraits, learn corresponding disease information and recommend medical departments, providing patients with intuitive medical guidance and reducing the workload at the guidance desk.
For specific hospital business scenarios, the intelligent medical guidance can access department introductions, expert introductions, outpatient arrangements, medical treatment requirements, department locations, etc. Patients can directly complete registration after selecting a department. The product can be used in WeChat online registration, Internet hospitals, regional platforms and other scenarios.