[Project source code] A set of source code for a smart hospital 3D human guidance system developed based on the springboot+Uniapp framework

Smart hospital 3D human guidance system source code

Development language: java

Development tools: IDEA

Front-end framework: Uniapp 

Backend framework: springboot  

database: mysql 

Mobile terminal: WeChat applet, H5

Relying on artificial intelligence, "Smart Diagnosis" provides 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 diagnosis guidance can provide department references suitable for the disease based on the described location and disease.

The smart guidance page will display a male or female body structure diagram, and the front/back can be switched. By clicking on the part option and selecting the part of your body that you are uncomfortable with, 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 recommend departments.

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 screening of signs, the system will further obtain symptom details, such as duration, frequency, accompanying symptoms, onset time, disease status, etc.

Department reference

Each answer of the patient 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 to the department suitable for the disease.

Application scenarios:

Use it alone for AI smart guidance;

Expand to H5, mini programs, apps, etc.;

In various complex scenarios, mobile phones, tablets, hospital all-in-one machines, computers, and embedded Internet hospital systems are connected to hospital registration and consultation, and integrate future trend voice intelligent guidance.

It is the main function of the smart diagnosis system:

  1. Real-time online appointment: The smart medical guidance system is connected to the hospital's registration system, and patients can choose a suitable time and department to make an appointment online, avoiding the trouble of waiting in line for a long time. This not only improves the convenience of medical treatment for patients, but also optimizes the hospital's management process and improves work efficiency.
  2. Intelligent triage: By collecting various information from the hospital, the intelligent guidance system can achieve intelligent triage. According to the patient's symptoms, medical history and visit records, the system recommends the most suitable department and doctor, which shortens the patient's visit time and improves the doctor's diagnosis and treatment efficiency.
  3. Personalized health management: The smart guidance system can collect and analyze patients' health data and provide personalized health suggestions and management plans. Through the reminder function of the system, patients can pay attention to their health status in time and prevent the occurrence of diseases.
  4. Data-driven decision analysis: The massive data collected by the smart diagnosis system can provide in-depth decision-making analysis for medical institutions. By analyzing visit data, disease trends, and treatment effects, medical institutions can optimize resource allocation, improve medical quality, and provide better services to patients.
  5. Telemedicine services: The smart guidance system not only serves the hospital, but can also be extended to telemedicine. Patients can conduct remote consultation and diagnosis through the intelligent guidance system, and enjoy convenient medical services, which is especially convenient for patients in remote areas.

In general, the smart diagnosis system uses advanced technology to combine medical services with digitalization, significantly improving medical efficiency and quality. With the advancement of technology, smart diagnosis systems will play a greater role in the future and bring revolutionary changes to the medical industry.

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Origin blog.csdn.net/baina666/article/details/132598708