Digital pre-examination triage system
By designing a digital pre-examination and triage system, using natural language processing and machine learning algorithms for data analysis and triage decisions, the problems of low efficiency and high error rate in traditional outpatient pre-examination and triage methods are solved, and more efficient and accurate triage is achieved, and patients' medical experience is improved.
Patent Information
- Application Number
- CN202510225531.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-27
- Publication Date
- 2025-06-17
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The traditional outpatient prediagnosis and triage methods have problems such as low triage efficiency, high error rate, lack of standardized procedures, and the need for patients to report in time periods, resulting in patients waiting too long and poor medical experience.
Design a digital pre-examination and triage system to collect patient information through terminal equipment, use natural language processing and machine learning algorithms to perform data analysis, combine preset triage rules to make triage decisions, recommend medical departments and medical orders, and provide medical navigation functions.
It improves the accuracy and efficiency of outpatient prediagnosis and triage, shortens triage time, reduces patients' waiting time, improves medical experience, and realizes the rational allocation and efficient utilization of medical resources.
Smart Images
Figure CN120164604A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of medical informatization, and particularly to a digital pre-triage system. Background Art
[0002] In the modern medical system, as the primary link for patients to seek medical treatment, the efficiency and accuracy of the pre-triage work in the outpatient department are crucial. At present, the traditional outpatient pre-triage method mainly relies on manual operation, and the triage nurses make judgments based on their own professional knowledge reserves and experience. However, this method has many drawbacks. On the one hand, the number of outpatient patients in major general hospitals in China is huge, the types of diseases are complex and diverse, and the severity of the conditions varies. At the same time, the medical specialties are becoming more and more refined and specialized, which makes it extremely difficult for manual triage. Research shows that the triage error rate of outpatient nurses is as high as 22%-34%. On the other hand, manual triage lacks a standard operation process, is too subjective, and seriously lacks logic and science. Triage mistakes will not only cause patients to go back and forth between multiple departments, wasting a lot of time and energy, delaying the best treatment opportunity, but also reducing patients' satisfaction with medical services and triggering doctor-patient conflicts. Third, at present, after patients register online in major hospitals across the country, they need to report at different times and then wait in turn according to the serial numbers stipulated by the system. Although major hospitals have been optimizing the serial number rules, the problem has not been fundamentally solved, and patients are often dissatisfied with the hospital services due to long waiting times.
[0003] With the rapid development of information technology, medical informatization has become an important means to improve the quality of medical services. In the field of outpatient pre-triage, the introduction of digital technology can effectively solve the deficiencies of traditional manual triage. Digital outpatient pre-triage systems and methods can quickly and accurately analyze and process patient information, improve triage efficiency and accuracy, and provide more convenient and efficient medical services for patients. Therefore, it is of great practical significance to develop a digital pre-triage system. Summary of the Invention
[0004] The present invention provides a digital pre-triage system to solve the problems of low triage efficiency, high error rate, lack of standardized process, and the need for patients to report at different times in the traditional outpatient pre-triage method, improve the accuracy and efficiency of outpatient pre-triage, and optimize the patient's medical experience.
[0005] The present invention provides a digital pre-triage system, including a terminal device;
[0006] Universal wheels are installed at the bottom of the terminal device, and a display panel is arranged above the terminal device;
[0007] A controller, a network device and a battery pack are installed inside the lower part of the terminal device, and the battery pack is electrically connected to the controller and the network device respectively;
[0008] A touch display screen is mounted on the surface of the display panel, a front camera is mounted above the touch display screen, and a microphone is provided below the touch display screen.
[0009] Preferably, a central processing unit, a data acquisition module, a data analysis module, a triage decision-making module, a display module, and a storage module are installed in the controller. The data acquisition module, the data analysis module, the triage decision-making module, the display module, and the storage module are respectively connected to the central processing unit. The data acquisition module is used to collect the basic information, symptom information, and medical history information of the patient. The data analysis module deeply analyzes the collected data, compares the patient's symptoms with the preset disease symptom library in the system, calculates the symptom similarity, and combines the patient's age, gender, and medical history information to evaluate the possibility of the patient suffering from various diseases. The triage decision-making module makes a triage decision according to the results of the data analysis module in accordance with the preset triage rules. The display module displays the triage results in an intuitive interface, including the recommended department for treatment, the order of treatment, and the estimated waiting time information. The storage module is used to store all the medical treatment information of the patient, including the collected data, analysis results, and triage records.
[0010] Preferably, it further includes a data backup and recovery module, a system monitoring and fault handling module, and an algorithm optimization and update module. The data backup and recovery module, the system monitoring and fault handling module, and the algorithm optimization and update module are respectively connected to the central processing unit. The data backup and recovery module is used to regularly back up the data in the storage module. The system monitoring and fault handling module is used to monitor the running state of the system in real time, including server load, network traffic, and data processing speed indicators. The algorithm optimization and update module is used to regularly optimize and update the machine learning algorithm in the data analysis module, collect new clinical case data, and train and verify the algorithm.
[0011] Preferably, in the data acquisition module, the symptom information is obtained by the patient independently filling out a symptom questionnaire and having a voice conversation with the intelligent interaction device, and is analyzed and extracted through natural language processing technology. The medical history information is obtained by docking with the hospital's electronic medical record system. If it cannot be obtained, a manual input interface is provided.
[0012] Preferably, the triage rules of the triage decision-making module comprehensively consider the severity of the disease, the professional expertise of the department, and the real-time number of patients in each department and the estimated waiting time.
[0013] Preferably, a method for using a digital pre-triage system includes the following steps:
[0014] A. Data collection: Before the patient arrives at the hospital outpatient department, they can enter the pre-triage system at home on a self-service terminal or mobile APP. First, fill in basic information, and then describe their symptoms in detail through a symptom questionnaire and voice interaction. The system automatically obtains the patient's medical history information. If it cannot be obtained, the patient will be prompted to enter it manually;
[0015] B. Data analysis: After data collection is completed, the data is transmitted to the data analysis module. The system performs natural language processing on the symptom information, extracts key symptoms, and compares them with the disease symptom library. Using machine learning algorithms, combined with the patient's basic information and medical history, calculates the probability of the patient suffering from different diseases;
[0016] C. Triage decision-making: The triage decision-making module determines the patient's department and order of seeing a doctor according to the data analysis results and preset triage rules. For critically ill patients, an alarm is immediately issued and the emergency rescue process is initiated;
[0017] D. Result display: The triage result is displayed to the patient and hospital staff through the display module. The patient can view detailed medical information on the self-service terminal or mobile phone and go to the corresponding department according to the medical navigation. Hospital staff can also view the triage situation in real time in the background for scheduling and management.
[0018] Preferably, in the data collection step of step A, the patient can also take a photo of the symptom picture and upload it through the mobile APP.
[0019] Beneficial effects:
[0020] (1) The structure of the present invention is novel in design and high in intelligence, which can provide clear medical guidance and estimated waiting time for patients, enabling patients to arrange their time reasonably and reduce anxiety. The medical navigation function facilitates patients to quickly find the department for seeing a doctor, improves the patient's medical experience, avoids the situation of over-concentration of patients in some departments while idle resources in some departments, and helps to achieve the reasonable allocation and efficient utilization of medical resources. Through measurement by wearable devices and combined with in-depth analysis and judgment of the system, the purpose of pre-hospital pre-triage is achieved, the triage accuracy is improved, and the medical treatment effect and efficiency are improved.
[0021] (2) The digital system of the present invention realizes the rapid collection and processing of information, greatly shortening the triage time. At the same time, according to the real-time number of patients seeing a doctor in each department and the estimated waiting time, the best order of seeing a doctor is recommended, effectively reducing the patient's waiting time and improving the overall operation efficiency of the outpatient department. Through big data analysis and machine learning algorithms, combined with rich medical knowledge and clinical experience, it can more accurately judge the patient's condition, reduce triage errors, improve the triage accuracy, and enable patients to get correct diagnosis and treatment faster.
[0022] The above description is only an overview of the technical solution of the embodiments of the present invention. In order to understand the technical means of the embodiments of the present invention more clearly, it can be implemented according to the content of the specification. And in order to make the above and other purposes, features and advantages of the embodiments of the present invention more obvious and understandable, the specific embodiments of the present invention are specifically given below. BRIEF DESCRIPTION OF THE DRAWINGS
[0023] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for the description of the embodiments. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.
[0024] Figure 1 It is a schematic structural diagram of the present invention;
[0025] Figure 2 It is a block diagram of the control principle of the present invention;
[0026] Figure 3 It is a flowchart of the operation of the present invention;
[0027] Description of reference numerals: terminal device 1, universal wheel 2, display panel 3, controller 4, network device 5, battery pack 6, touch display screen 7, front camera 8, microphone 9, central processor 10, data acquisition module 11, data analysis module 12, triage decision module 13, display module 14, storage module 15, data backup and recovery module 16, system monitoring and fault handling module 17, algorithm optimization and update module 18. DETAILED DESCRIPTION OF THE EMBODIMENTS
[0028] In order to make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the protection scope of the present invention.
[0029] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which this invention belongs; the terms used in the specification of this application are only for the purpose of describing specific embodiments, and are not intended to limit the present invention; the terms "including" and "having" and any variations thereof in the specification and claims of the present invention and the drawings are intended to cover non-exclusive inclusion.
[0030] Reference to "embodiment" in this document means that the specific features, structures, or characteristics described in connection with the embodiment may be included in at least one embodiment of the present invention. The phrase "embodiment" appearing at various positions in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.
[0031] All directional terms appearing in the following description are the directions shown in the figures and do not limit the specific structure of the present invention. For example, in the description of the present invention, terms such as "center", "longitudinal", "transverse", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", "axial", "radial", "circumferential", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings. They are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention.
[0032] In addition, the terms "first", "second", etc. in the specification and claims of the present invention or in the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order, and may explicitly or implicitly include one or more of such features.
[0033] In the description of the present invention, it should be noted that unless otherwise clearly specified and limited, the terms "mounted", "connected", and "coupled" should be understood in a broad sense. For example, the "connection" or "coupling" of mechanical structures may refer to a physical connection. For example, a physical connection may be a fixed connection, such as a fixed connection through a fixing member, such as a screw, bolt, or other fixing member; a physical connection may also be a detachable connection, such as a snap connection or a snap-fit connection; a physical connection may also be an integral connection, such as a welded, bonded, or integrally formed connection. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.
[0034] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings.
[0035] Please refer to Figures 1 - 3 , the present invention discloses a digital pre-triage system, including a terminal device 1;
[0036] The bottom of the terminal device 1 is mounted with universal wheels 2, and a display panel 3 is provided above the terminal device 1;
[0037] A controller 4, a network device 5 and a battery pack 6 are installed inside the lower part of the terminal device 1, and the battery pack 6 is electrically connected to the controller 4 and the network device 5 respectively;
[0038] A touch display screen 7 is installed on the surface of the display panel 3, a front camera 8 is installed above the touch display screen 7, and a microphone 9 is arranged below the touch display screen 7. This facilitates patients to input and interact with information. The network device uses a high-speed switch and a stable wireless network to ensure fast and stable data transmission.
[0039] Among them, the operating system of the terminal device selects a stable and reliable server operating system, such as Windows Server or Linux. The database management system uses a relational database, such as MySQL or Oracle, to store patient information and system configuration data. The development language is selected from Java, Python, etc., and relevant development frameworks are used for system development. The natural language processing technology uses open-source NLTK or commercial natural language processing engines, and the machine learning algorithm is implemented using machine learning libraries such as Scikit-learn.
[0040] In the present invention, a central processing unit 10, a data acquisition module 11, a data analysis module 12, a triage decision-making module 13, a display module 14, and a storage module 15 are installed in the controller 4. The data acquisition module 11, the data analysis module 12, the triage decision-making module 13, the display module 14, and the storage module 15 are respectively connected to the central processing unit 10. The data acquisition module is used to collect the basic information, symptom information, and medical history information of patients. The basic information includes name, age, gender, contact information, etc. The symptom information is obtained by the patient independently filling out a symptom questionnaire and having a voice conversation with an intelligent interaction device. The questionnaire and conversation content are analyzed and extracted through natural language processing technology. The medical history information is obtained by docking with the hospital's electronic medical record system. If the patient has no electronic medical record, a manual input interface is provided. In the data acquisition module, the symptom information is obtained by the patient independently filling out a symptom questionnaire and having a voice conversation with an intelligent interaction device, and is analyzed and extracted through natural language processing technology. The medical history information is obtained by docking with the hospital's electronic medical record system. If it cannot be obtained, a manual input interface is provided. The data analysis module deeply analyzes the collected data, compares the patient's symptoms with the preset disease symptom library in the system, calculates the symptom similarity, and combines the patient's age, gender, and medical history information to evaluate the possibility of the patient suffering from various diseases. The disease symptom library is regularly updated and improved according to the latest medical research results and clinical experience. The triage decision-making module makes a triage decision according to the results of the data analysis module according to the preset triage rules. The triage rules comprehensively consider factors such as the severity of the disease and the professional expertise of the department. For critically ill patients, they are directly guided to the emergency department, and an emergency rescue process is initiated. For patients with common diseases, they are assigned to the corresponding specialist outpatient clinics according to the disease type. At the same time, the system recommends the best visit order for patients according to the real-time number of patients in each department and the estimated waiting time. The triage rules of the triage decision-making module comprehensively consider the severity of the disease, the professional expertise of the department, and the real-time number of patients in each department and the estimated waiting time. The display module displays the triage results in an intuitive interface, including the recommended visit department, visit order, and estimated waiting time information. Patients can view the triage results on devices such as the hospital's self-service query terminal and mobile APP. In addition, the display module also provides a medical navigation function to guide patients to the corresponding department for treatment. The storage module is used to store all the medical information of patients, including the collected data, analysis results, and triage records. The storage module uses a secure and reliable database management system to ensure the security and integrity of the data and support the rapid retrieval and query of the data.
[0041] The present invention further includes a data backup and recovery module 16, a system monitoring and fault handling module 17, and an algorithm optimization and update module 18. The data backup and recovery module 16, the system monitoring and fault handling module 17, and the algorithm optimization and update module 18 are respectively connected to the central processing unit 16. The data backup and recovery module is used to regularly back up the data in the storage module; the system monitoring and fault handling module is used to monitor the running state of the system in real time, including server load, network traffic, and data processing speed indicators; the algorithm optimization and update module is used to regularly optimize and update the machine learning algorithms in the data analysis module, collect new clinical case data, and train and verify the algorithms.
[0042] First, collect a large amount of medical literature and clinical case data, sort out the typical symptoms, common symptoms of various diseases, and relevant diagnostic criteria, and construct a disease symptom library. Invite medical experts to review and improve the disease symptom library to ensure its accuracy and integrity; organize medical experts and hospital administrators to formulate scientific and reasonable triage rules according to factors such as the severity of the disease, the professional expertise of the departments, and the actual layout of the hospital. The triage rules are embedded in the triage decision module in the form of codes to ensure that the system can make accurate triage decisions according to the preset rules; import the existing patient historical visit data of the hospital into the storage module, perform data cleaning and preprocessing to ensure the quality of the data. At the same time, establish a data update mechanism to regularly obtain the latest patient information from the hospital's electronic medical record system and update the disease symptom library and the patient's personal medical history information.
[0043] The present invention also discloses a usage method of the digital pre-triage system, and the usage method includes the following steps:
[0044] A. Data collection: Before the patient arrives at the hospital outpatient department, the patient can enter the pre-triage system on the self-service terminal or mobile APP at home. First, fill in the basic information, and then describe the own symptoms in detail through the symptom questionnaire and voice interaction. The system automatically obtains the patient's medical history information. If it cannot be obtained, the patient is prompted to manually enter it. The patient can also take pictures of the symptoms and upload them through the mobile APP;
[0045] B. Data analysis: After the data collection is completed, the data is transmitted to the data analysis module. The system performs natural language processing on the symptom information, extracts the key symptoms, and compares them with the disease symptom library. Using machine learning algorithms, combined with the patient's basic information and medical history, calculate the probabilities of the patient suffering from different diseases;
[0046] C. Triage decision: The triage decision module determines the patient's department of visit and the order of visit according to the data analysis results and the preset triage rules. For critically ill patients, an alarm is immediately issued and the emergency rescue process is started;
[0047] D. Result display: The triage result is presented to the patients and hospital staff through the display module. Patients can view detailed medical information on self-service terminals or mobile phones and go to the corresponding departments according to the medical navigation. Hospital staff can also view the triage situation in real time in the background for scheduling and management.
[0048] Since the personal information, chief complaints, symptoms, current medical history, past medical history, drug allergy history, family history, etc. filled in by the patients themselves, as well as various data such as measured vital signs and blood glucose, will reduce the time for doctors to conduct inquiries and write medical records. When seeing patients, doctors only need to make minor modifications to the medical records, which will greatly improve the efficiency of seeing patients.
[0049] In addition, the present invention can also be connected to some instrument devices such as electronic sphygmomanometers, body temperature sensors, finger pulse oximeters, etc. Patients can measure by themselves according to voice prompts. After the data is imported, it is convenient for the intelligent judgment of some diseases. After the intelligent judgment, it can prompt the patients to prescribe routine examination items by themselves. Patients can complete the examinations in advance. In this way, when patients have their first consultations, doctors have already obtained the results of some examination reports, which is beneficial for doctors to make a faster and more accurate diagnosis and also saves a lot of time for both patients and doctors. In addition, through the measurement by wearable devices and combined with the in-depth analysis and judgment of the system, the purpose of pre-hospital pre-triage is achieved, the triage accuracy rate is improved, and the medical treatment effect and efficiency are enhanced. Patients can also use the mobile APP to know in real time how many people are waiting in front, reasonably arrange their own time, and effectively prevent crowd gathering.
[0050] In summary, the present invention has a novel structural design and a high degree of intelligence. It can provide clear medical guidance and estimated waiting time for patients, enabling patients to arrange their time reasonably and reduce anxiety. The medical navigation function facilitates patients to quickly find the departments for medical treatment, enhances the medical experience of patients, avoids the situation of over-concentration of patients in some departments while the resources in some departments are idle, and helps to achieve the reasonable allocation and efficient utilization of medical resources. The digital system of the present invention realizes the rapid collection and processing of information, greatly shortening the triage time. At the same time, according to the real-time number of patients in each department and the estimated waiting time, the best consultation order is recommended. The serial number at the time of registration is the same as the serial number at the time of consultation, and there is no need for secondary reporting and sorting in the consultation area, effectively reducing the waiting time of patients, reflecting medical fairness, improving the overall operation efficiency of the outpatient department, and enhancing the medical experience of patients. Through big data analysis and machine learning algorithms, combined with rich medical knowledge and clinical experience, it can more accurately judge the condition of patients, reduce triage errors, improve the triage accuracy rate, and enable patients to obtain correct diagnosis and treatment faster.
[0051] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims
1. A digital pre-examination and triage system, characterized in that: comprising a terminal device (1); A universal wheel (2) is installed at the bottom of the terminal device (1), and a display panel (3) is arranged above the terminal device (1); A controller (4), a network device (5) and a battery pack (6) are installed inside the lower part of the terminal device (1), and the battery pack (6) is electrically connected to the controller (4) and the network device (5) respectively; A touch screen (7) is mounted on the surface of the display panel (3), a front camera (8) is mounted above the touch screen (7), and a microphone (9) is arranged below the touch screen (7).
2. A digital pre-examination and triage system according to claim 1, characterized in that: The controller (4) is equipped with a central processing unit (10), a data acquisition module (11), a data analysis module (12), a triage decision module (13), a display module (14) and a storage module (15). The data acquisition module (11), the data analysis module (12), the triage decision module (13), the display module (14) and the storage module (15) are respectively connected to the central processing unit (10). The data acquisition module is used to collect basic information, symptom information and medical history information of the patient; the data analysis module performs in-depth analysis on the collected data, compares the patient's symptoms with the disease symptom library preset in the system, calculates the symptom similarity, and evaluates the possibility of the patient suffering from various diseases in combination with the patient's age, gender and medical history information; the triage decision module makes triage decisions according to the preset triage rules based on the results of the data analysis module; the display module displays the triage results in an intuitive interface, including recommended consultation departments, consultation order and expected waiting time information; The storage module is used to store all the patient's medical information, including collected data, analysis results, and triage records.
3. A digital pre-examination and triage system according to claim 1, characterized in that: The system also includes a data backup and recovery module (16), a system monitoring and fault handling module (17), and an algorithm optimization and update module (18), wherein the data backup and recovery module (16), the system monitoring and fault handling module (17), and the algorithm optimization and update module (18) are respectively connected to the central processing unit (16), and the data backup and recovery module is used to regularly back up the data in the storage module; the system monitoring and fault handling module is used to monitor the operating status of the system in real time, including server load, network traffic, and data processing speed indicators; and the algorithm optimization and update module is used to regularly optimize and update the machine learning algorithm in the data analysis module. New clinical case data is collected to train and verify the algorithm.
4. A digital pre-examination and triage system according to claim 2, characterized in that: In the data collection module, symptom information is obtained by patients filling out symptom questionnaires and having voice conversations with intelligent interactive devices, and is analyzed and extracted using natural language processing technology. Medical history information is obtained by connecting to the hospital's electronic medical record system. If it cannot be obtained, a manual entry interface is provided.
5. A digital pre-examination and triage system according to claim 1, characterized in that: The triage rules of the triage decision module comprehensively consider the severity of the disease, the professional expertise of the department, and the real-time number of patients and expected waiting time of each department.
6. A method for using the digital pre-examination and triage system according to claim 1, characterized in that: The method of use includes the following steps: A. Data collection: Before arriving at the hospital, patients can enter the pre-diagnosis and triage system at home on a self-service terminal or mobile phone APP. First, fill in basic information, then describe their symptoms in detail through a symptom questionnaire and voice interaction. The system automatically obtains the patient's medical history information. If it cannot be obtained, the patient is prompted to enter it manually. B. Data analysis: After data collection is completed, the data is transmitted to the data analysis module. The system performs natural language processing on the symptom information, extracts key symptoms, and compares them with the disease symptom database. It uses machine learning algorithms and combines the patient's basic information and medical history to calculate the probability of the patient suffering from different diseases. C. Triage decision: The triage decision module determines the patient's visiting department and the order of visiting according to the data analysis results and the preset triage rules. For critically ill patients, an alarm is immediately issued and the emergency rescue process is initiated; D. Result display: The triage results are displayed to patients and hospital staff through the display module. Patients can view detailed medical information on the self-service terminal or mobile phone, and go to the corresponding department according to the medical navigation. Hospital staff can also view the triage situation in real time in the background for scheduling and management.
7. The method for using a digital pre-examination and triage system according to claim 6, characterized in that: In the data collection step of step A, the patient can also take photos and upload symptom pictures through the mobile phone APP.