Emergency treatment number calling system based on pre-examination triage indexes

Abstract

The invention relates to the technical field of emergency treatment number calling, and provides an emergency treatment number calling system based on a pre-examination triage index, which comprises a pre-examination triage module, a number calling sorting module, a number calling queue forming module, a display and voice broadcast module and a notification information display module, the data storage and analysis module is used for storing various data in the emergency treatment process, and the patient identity recognition and positioning module, the remote pre-examination triage subsystem, the multi-department collaborative consultation module, the intelligent resource allocation module and the patient condition monitoring and early warning module are used for monitoring vital signs of waiting patients in real time. When abnormity occurs, early warning is given out in time. Through a priority number calling mechanism, critical patients can be quickly treated, the rescue time is shortened, the emergency treatment success rate is improved, clear triage and number calling rules are achieved, the patients and family members can clearly see a doctor, queuing disputes are reduced, and the order of a waiting area is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of emergency call number technology, in particular to an emergency call number system based on pre-examination and triage indicators. Background Art

[0002] With the rapid development of modern society, various types of sudden illnesses and accidental injuries occur frequently, and the importance of emergency medical services has become increasingly prominent. As the forefront of medical treatment, emergency departments are responsible for the key tasks of rapid diagnosis and emergency treatment of critically ill patients. The quality of their services is directly related to the life, health and prognosis of patients. However, emergency medical care currently faces many severe challenges. In terms of patient flow, with the increase in population and aging, the number of emergency patients continues to rise, and the phenomenon of congestion during peak hours is serious, which puts tremendous pressure on emergency resources.

[0003] In the current emergency medical environment, existing technologies have many deficiencies. Traditional emergency call numbers lack a scientific triage call number mechanism, and are only sorted by first come first served. Critically ill patients cannot receive timely treatment, delaying the best treatment time, resulting in a limited success rate of emergency treatment. At the same time, the lack of patient identification and location tracking can easily cause information confusion and affect the management of medical staff. In addition, it is difficult for various departments to coordinate consultations, and it is difficult to quickly organize multi-department joint diagnosis and treatment for difficult patients. Resource allocation also lacks intelligence, and resources are often idle or tight, which greatly affects the quality and efficiency of emergency medical services. Summary of the invention

[0004] In view of the deficiencies of the prior art, the present invention provides an emergency call number system based on pre-examination and triage indicators, which solves the problem in the prior art that emergency call numbers are difficult to make adaptive adjustments according to actual conditions.

[0005] To achieve the above objectives, the present invention is implemented through the following technical solutions: an emergency call number system based on pre-examination and triage indicators, including a pre-examination and triage module, which is used to collect basic patient information, determine the triage level according to the emergency pre-examination and triage grading standard, and can be connected with other information systems of the hospital to obtain auxiliary triage data;

[0006] The call number sorting module receives data from the pre-examination and triage module, sorts the patients according to the triage level, arrival time and other rules, and forms a call number queue;

[0007] The display and voice broadcast module notifies patients and their families of the patient information in the call queue through display screen display, voice broadcast and SMS;

[0008] The data storage and analysis module stores various data during the emergency treatment process and analyzes the data to generate statistical reports and provide decision-making basis;

[0009] Patient identification and positioning module, which enables rapid identification of patients and real-time tracking of their location in the emergency area;

[0010] Remote pre-examination and triage subsystem, which allows patients to enter information such as symptoms and medical history for preliminary triage before arriving at the hospital, and the results are synchronized with the emergency call system;

[0011] The multi-department collaborative consultation module initiates multi-department consultation requests for difficult emergency patients, supports remote consultations, and adjusts patient consultation arrangements based on consultation results;

[0012] Intelligent resource allocation module, which monitors the resource usage of each emergency department and makes intelligent allocation and prediction based on patient needs and resource status;

[0013] The patient condition monitoring and early warning module monitors the vital signs of patients waiting for treatment in real time and issues timely warnings when abnormalities occur.

[0014] Preferably, the pre-examination and triage module is operated through a touch-screen computer terminal. Its built-in triage index system covers symptoms, vital signs and medical history content, and is connected to the electronic medical record system and the testing and inspection system to automatically obtain the patient's recent test results, past medical history and other information. The nurse completes the patient information collection and triage level determination by checking boxes, entering numerical values, etc.

[0015] Preferably, the call number sorting module adopts a priority queue algorithm, with the triage level as the main priority. Level 1 patients take precedence over levels 2-5, and high-level patients can jump to the front of the call number queue. For patients of the same level, they are sorted in the order of arrival at the triage desk in combination with timestamps, and fine-tuned with reference to age and urgency of the disease.

[0016] Preferably, the display and voice broadcast module is equipped with a high-definition LED display screen in the emergency waiting area, which displays the name, triage level, and estimated waiting time of patients with different triage levels in different areas. Through the voice broadcast device, different prompt tones and voice contents are used to distinguish the call numbers of patients of different levels, and it is connected to the hospital's SMS platform to send SMS containing call number information and clinic location to the patients and their families' mobile phones.

[0017] Preferably, the data storage and analysis module uses a relational database to store structured data, and a NoSQL database to store unstructured data such as text-based diagnosis results, analyzes the number of patients, average waiting time, and emergency resource usage in different time periods and triage levels, and generates emergency daily / weekly / monthly reports and triage accuracy reports.

[0018] Preferably, the patient identification and positioning module equips the patient with an electronic bracelet or card with a built-in RFID chip or Bluetooth low-power module, and installs corresponding card readers or beacons at key locations in the emergency area. The nurse uses a handheld device to identify the patient and bind it to the triage information. The system tracks the patient's location in real time and displays its movement trajectory on the display screen.

[0019] Preferably, the remote pre-examination and triage subsystem is developed with a mobile application or WeChat applet. The patient enters basic symptoms and medical history information and uploads relevant medical condition pictures through the program while on the way to the hospital or before arriving at the hospital. The system uses a built-in intelligent triage algorithm to perform preliminary triage, give triage suggestions and possible triage levels, and the results are synchronized to the emergency call system in real time. The nurse determines the final triage level based on on-site evaluation.

[0020] Preferably, in the multi-department collaborative consultation module, the triage nurse initiates a consultation request in the system for difficult and complicated emergency patients, and the request is automatically pushed to the computer or mobile phone APP terminal of the doctor in the relevant department. The doctor conducts a remote consultation through video conferencing, voice call or text chat. The discussion content and diagnostic opinions during the consultation are automatically recorded to form a consultation report and associated with the patient's medical record. The system automatically adjusts the patient's triage level and consultation department arrangement according to the consultation results.

[0021] Preferably, the intelligent resource allocation module monitors the bed occupancy rate, equipment usage status and resource usage of medical staff workload in each emergency department in real time, automatically issues an alert when resources are tight, and intelligently allocates patients to other idle departments or arranges them to wait in suitable areas based on the patient's triage level and the urgency of their condition. Combined with the data analysis results, according to the patient flow patterns in different time periods and different disease types, it predicts the demand for emergency resources in advance, generates a resource allocation plan, and provides suggestions for the hospital management department to arrange medical staff scheduling, equipment allocation and procurement.

[0022] Preferably, an emergency call method based on pre-examination and triage indicators comprises the following steps:

[0023] S1. After the patient arrives at the emergency department, the pre-examination and triage module collects the patient's information and determines the triage level;

[0024] S2. The call number sorting module receives the information and sorts it to form a call number queue;

[0025] S3. The display and voice broadcast module displays and broadcasts the call queue information and sends SMS messages to notify patients;

[0026] S4. During the patient's visit, the data storage and analysis module stores and analyzes data, the patient identification and positioning module identifies and tracks the patient's identity, the remote pre-examination and triage subsystem performs preliminary triage before the patient arrives at the hospital, the multi-department collaborative consultation module initiates and conducts consultations for difficult patients, the intelligent resource allocation module monitors and allocates emergency resources, and the patient condition monitoring and early warning module monitors and warns the vital signs of waiting patients BRIEF DESCRIPTION OF THE DRAWINGS

[0027] Figure 1 is a system block diagram of the present invention;

[0028] Figure 2 It is a schematic diagram of the method flow of the present invention.

[0029] The present invention provides an emergency call number system based on pre-examination and triage indicators. It has the following beneficial effects:

[0030] 1. The present invention uses a priority calling mechanism to enable critically ill patients to receive treatment quickly, shorten the rescue time, and improve the success rate of emergency treatment. The multi-department collaborative consultation module integrates the resources of multiple departments to provide professional and comprehensive treatment for difficult patients and improve the overall quality of treatment.

[0031] 2. The present invention uses clear triage and calling rules to make patients and their families clear about the medical treatment process, reduce queuing disputes, and improve the order in the waiting area. The patient identity recognition and positioning module facilitates medical staff to manage patients, avoid information confusion, and improve the medical experience.

[0032] 3. The present invention automatically obtains some information by connecting with other information systems of the hospital, reducing the workload of nurses in manual data entry. Intelligent algorithms such as call number sorting and intelligent triage improve the accuracy and efficiency of triage, call number and resource allocation. DETAILED DESCRIPTION

[0033] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] Embodiment 1:

[0035] Reference Figure 1-2The embodiment of the present invention provides an emergency call number system based on pre-examination and triage indicators, including a pre-examination and triage module, which is used to collect basic information of patients, determine the triage level according to the emergency pre-examination and triage grading standard, and can be connected with other information systems of the hospital to obtain auxiliary triage data. The pre-examination and triage module is operated through a touch-screen computer terminal. Its built-in triage indicator system covers symptoms, vital signs and medical history content, and is connected with an electronic medical record system and a test and inspection system to automatically obtain the patient's recent test results, past medical history and other information. Nurses complete patient information collection and triage level determination by checking and entering values, thereby realizing rapid and comprehensive collection of patient information. By connecting with other systems to obtain auxiliary data, possible omissions and errors in manual information collection by nurses are avoided, and the accuracy and efficiency of information collection are greatly improved. The triage level is determined based on a complete triage indicator system, which can more scientifically evaluate the severity of the patient's condition, provide an accurate basis for subsequent allocation of treatment resources, and allow truly critical patients to be treated first.

[0036] The call number sorting module receives data from the pre-examination and triage module, sorts patients according to triage level, arrival time and other rules to form a call number queue. The call number sorting module adopts a priority queue algorithm, with triage level as the main priority. Level 1 patients take precedence over levels 2-5, and high-level patients can jump to the front of the call number queue. For patients of the same level, they are sorted in the order of arrival at the triage desk in combination with timestamps, and fine-tuned with reference to age and urgency of the disease, ensuring the timeliness and rationality of emergency treatment, so that patients in critical conditions can receive rapid attention and treatment, reducing waiting time and improving the success rate of rescue. By refining the sorting of patients of the same level and taking into account multiple factors, the call number is made more fair and humane, reducing dissatisfaction and disputes among patients and their families due to the order of call numbers, and optimizing the order of emergency treatment;

[0037] The display and voice broadcast module notifies patients and their families of the patient information in the call queue through display screen display, voice broadcast and text message sending. The display and voice broadcast module sets a high-definition LED display screen in the emergency waiting area, and displays the name, triage level and estimated waiting time of patients with different triage levels in different areas. Through the voice broadcast device, different prompt tones and voice content are used to distinguish the call numbers of patients of different levels. It connects with the hospital's SMS platform and sends text messages containing call information and clinic locations to the mobile phones of patients and their families. The combination of multiple notification methods facilitates patients and their families to understand medical information in a timely manner, reducing anxiety and misjudgment caused by unclear information. The regional display and different prompt tone settings enable patients to quickly know their medical status, especially for the elderly or patients with poor hearing. The display screen and SMS notification play a good auxiliary role. This helps to maintain order in the waiting area and improve the patient's medical experience;

[0038] The data storage and analysis module stores various types of data during the emergency treatment process, and analyzes the data to generate statistical reports and provide decision-making basis. The data storage and analysis module uses a relational database to store structured data and a NoSQL database to store unstructured data such as text-based diagnosis results. It analyzes the number of patients, average waiting time, and emergency resource usage at different time periods and different triage levels, and generates emergency daily / weekly / monthly reports and triage accuracy reports, providing comprehensive and accurate data support for hospital management departments. Through the analysis of reports, managers can clearly understand the operation status of the emergency department and discover potential problems, such as patient backlogs in a certain period of time and low accuracy of certain triage levels. Based on these data, medical staff can be reasonably deployed, such as increasing staff during patient peak periods; adjusting the configuration of beds and equipment in the emergency department, improving resource utilization efficiency, and optimizing the quality of medical services;

[0039] The patient identification and positioning module can realize the rapid identification of the patient's identity and track the patient's position in the emergency area in real time. The patient identification and positioning module equips the patient with an electronic bracelet or card with a built-in RFID chip or Bluetooth low-power module, and installs corresponding card readers or beacons at key locations in the emergency area. Nurses use handheld devices to identify the patient's identity and bind it to the triage information. The system tracks the patient's position in real time and displays its movement trajectory on the display screen, effectively avoiding the confusion of calling numbers caused by errors in patient information entry and improving the accuracy of information management. During the patient's medical treatment, doctors and nurses can grasp the patient's position at any time. When it is necessary to find the patient urgently, such as when the patient's condition suddenly changes during the examination, the patient's position can be quickly located to improve the timeliness of treatment. For lost patients, such as Alzheimer's patients or children, they can be tracked based on their movement trajectory to ensure patient safety;

[0040] The remote pre-examination and triage subsystem allows patients to input information such as symptoms and medical history for preliminary triage before arriving at the hospital, and the results are synchronized with the emergency call system. The remote pre-examination and triage subsystem has developed a mobile application or WeChat applet. Patients can input basic symptoms and medical history information through the program on the way to the hospital or before arriving at the hospital, and upload relevant condition pictures. The system has a built-in intelligent triage algorithm for preliminary triage, and gives triage suggestions and possible triage levels. The results are synchronized to the emergency call system in real time. Nurses determine the final triage level based on on-site assessments and assess the patient's condition in advance, so that the hospital can prepare for treatment in advance. In particular, for patients who are far away from the hospital, the emergency treatment process can be started during the transfer process, shortening the patient's waiting time in the hospital. At the same time, it reduces the pressure of on-site triage in the hospital, improves triage efficiency, and makes triage work more scientific and efficient;

[0041] The multi-department collaborative consultation module initiates multi-department consultation requests for difficult and complicated emergency patients, supports remote consultation and adjusts the patient's treatment arrangement according to the consultation results. In the multi-department collaborative consultation module, the triage nurse initiates a consultation request in the system for difficult and complicated emergency patients, and the request is automatically pushed to the computer or mobile phone APP terminal of the doctor in the relevant department. The doctor conducts a remote consultation through video conferencing, voice calls or text chats. The discussion content and diagnostic opinions during the consultation process are automatically recorded to form a consultation report and associated with the patient's medical record. The system automatically adjusts the patient's triage level and the treatment department arrangement according to the consultation results, integrates the medical resources of multiple departments of the hospital, and allows experts from different departments to jointly participate in the diagnosis and treatment of patients, improves the diagnostic accuracy and treatment effect of difficult diseases, and automatically adjusts the triage level and the treatment department arrangement to ensure that patients can receive the most professional and comprehensive treatment, avoiding patients from blindly running between different departments, shortening the treatment time, and improving the patient's medical experience. At the same time, consultation indicator statistics are also helpful for hospitals to conduct performance appraisal and management optimization;

[0042] The intelligent resource allocation module monitors the resource usage of each emergency department, and performs intelligent allocation and prediction based on patient needs and resource conditions. The intelligent resource allocation module monitors the bed occupancy rate, equipment usage status and resource usage of medical staff workload in real time in each emergency department. It automatically issues an alert when resources are tight, and intelligently allocates patients to other idle departments or arranges them to wait in suitable areas based on the patient's triage level and the urgency of their condition. Combined with the data analysis results, it predicts emergency resource needs in advance based on the patient flow patterns in different time periods and different disease types, generates a resource allocation plan, and provides suggestions for the hospital management department to arrange medical staff scheduling, equipment allocation and procurement, thereby optimizing the allocation of emergency resources, improving resource utilization efficiency, and avoiding resource waste and patients waiting for resources. Predicting resource needs in advance enables hospitals to make targeted preparations, ensure the smooth progress of emergency treatment, and improve the hospital's emergency response capabilities and overall medical service level;

[0043] The patient condition monitoring and early warning module monitors the vital signs of patients waiting for treatment in real time and issues early warnings when abnormalities occur. It can detect the deterioration of the waiting patient's condition in time, buy precious treatment time for the patient, and reduce the risk of the patient in the waiting process. The automated monitoring and early warning mechanism reduces the work pressure of medical staff, improves the safety and reliability of emergency treatment, and protects the life and health of patients.

[0044] An emergency call number method based on pre-examination and triage indicators is used for the following steps of the routine emergency patient consultation process:

[0045] S1. Patient arrival and pre-examination triage: A patient who came to the emergency department due to sudden abdominal pain arrived at the hospital. At the pre-examination triage desk, the nurse operated the pre-examination triage module through the touch-screen computer terminal, asked the patient's basic information, including name, age, gender, etc., and measured the patient's vital signs, such as body temperature, blood pressure, heart rate, respiratory rate, etc. The patient reported that the abdominal pain lasted for 3 hours, accompanied by nausea. The nurse checked the corresponding symptom option and entered the vital sign value. The pre-examination triage module was connected to the hospital's electronic medical record system and laboratory inspection system to automatically obtain the patient's past history of gallstones, but there were no relevant test results recently. According to the emergency pre-examination triage grading standards, combined with the patient's symptoms and vital signs, the nurse triaged him into level 3;

[0046] S2. Call number sorting: The call number sorting module receives the patient's information. Since the patient's triage level is level 3, the call number sorting module puts the patient into the call number queue of level 3 patients according to the priority queue algorithm. In the level 3 patient queue, combined with the timestamp, the patients are sorted according to the order in which they arrived at the triage desk;

[0047] S3. Display and notification: The display and voice broadcast module displays the patient's name, triage level "level 3" and estimated waiting time in different areas on the high-definition LED display screen in the emergency waiting area. At the same time, the voice broadcast system calls the patient with regular prompts and voice content. In addition, the system connects with the hospital's SMS platform to send SMS containing call information and clinic location to the patient and his family's mobile phones;

[0048] S4. Support during the consultation process:

[0049] Data storage and analysis: The data storage and analysis module starts to record the patient's time from arrival at the emergency department to the time of treatment, triage level, and other information. The subsequent diagnosis results entered by the doctor during the diagnosis process will also be stored. The system will analyze this data and count the number of level 3 patients in different time periods, the average waiting time, etc., to generate emergency daily / weekly / monthly reports and triage accuracy reports;

[0050] Patient identification and positioning: Patients wear electronic bracelets with built-in RFID chips. RFID readers are installed at key locations in the emergency area, such as corridors and examination room doors. Nurses use handheld RFID readers to identify patients and bind them to triage information. The system tracks the patient's location in real time. When patients walk in the waiting area or go to the examination room, their movement trajectory will be displayed in real time on the system display, making it convenient for medical staff to keep track of the patient's dynamics at any time;

[0051] In this visit, the patient did not use the remote pre-examination triage subsystem before arriving at the hospital, but if other patients use it before coming to the hospital, for example, the patient enters symptoms and medical history on the APP, the system will conduct preliminary triage and give suggestions, synchronize the results with the emergency call system, and the nurse will determine the final triage level after on-site evaluation;

[0052] Multi-department collaborative consultation: The patient's condition is relatively clear and does not trigger a multi-department collaborative consultation. If a difficult and complicated patient is encountered, such as a complex injury involving multiple departments, the triage nurse can initiate a consultation request in the system, and doctors from relevant departments will consult through video conferencing and other means. The consultation results are used to adjust the patient's triage level and the department to which they will be assigned;

[0053] Intelligent resource allocation: The intelligent resource allocation module monitors the resource usage of each emergency department in real time. If it is found that the surgical clinic where the patient is treated has a large number of patients and the doctor's workload is heavy, while other surgical clinics are relatively idle, the system will intelligently allocate the patient to an idle surgical clinic based on the patient's triage level and the urgency of the condition, and timely update the patient's treatment information on the display screen and text messages;

[0054] Patient condition monitoring and early warning: The patient is equipped with a wearable physiological parameter monitoring device, such as a smart bracelet, to monitor the patient's heart rate, blood pressure and other vital signs in real time. If the patient's vital signs show abnormal changes during the waiting process, such as a sudden drop in blood pressure, the patient's condition monitoring and early warning module will automatically send out an early warning signal, highlighting the patient's information on the display screen. At the same time, the voice broadcast system calls the patient to go to the consulting room or emergency room for emergency treatment.

[0055] Embodiment 2:

[0056] Reference Figure 1-2 The embodiment of the present invention provides an emergency call method based on pre-examination and triage indicators, which is used for the treatment process of difficult emergency patients as follows:

[0057] S1. Patient arrival and pre-examination triage: A patient with confusion and dyspnea was sent to the emergency department. The nurse collected the patient's basic information through the pre-examination triage module and found that the patient was unable to accurately describe his condition. The nurse measured his vital signs, heart rate of 145 beats / min, respiratory rate of 32 times / min, and blood pressure of 85 / 50 mmHg. The pre-examination triage module obtained the patient's history of heart disease from the electronic medical record system. Combined with the symptoms and vital signs, the nurse triaged the patient into level 2 according to the emergency pre-examination triage grading standard;

[0058] S2. Calling order: The calling order module receives the patient information. Since it is a level 2 patient with a higher priority, it automatically inserts it into the front of the calling queue and suspends the calling of the current lower-level patients;

[0059] S3. Display and notification: The display and voice broadcast module highlights the patient's information on the display screen, and the voice broadcast system broadcasts the emergency prompt tone and the voice content of "Emergency call, patient name, level 2 patient, please go to the emergency room immediately" multiple times. At the same time, an emergency call SMS and the location information of the emergency room are sent to the patient and his family's mobile phones;

[0060] S4. Support during the consultation process:

[0061] Data storage and analysis: The data storage and analysis module records the key time points and condition information of patients from the time they arrive at the emergency department, which is subsequently used to analyze the treatment conditions of level 2 patients and provide decision-making basis for hospital management;

[0062] Patient identification and positioning: Patients wear a card with a built-in Bluetooth low energy module. Through the BLE beacon in the emergency area, the system tracks the patient's location in real time, making it easier for medical staff to quickly find the patient in an emergency;

[0063] Remote pre-examination and triage: Same as in Example 1, this patient did not use remote pre-examination and triage before coming to the hospital, but this function can provide early triage services for other patients;

[0064] Multi-department collaborative consultation: Due to the complexity of the patient's condition, the triage nurse initiates a multi-department collaborative consultation request in the system, which is automatically pushed to the mobile APP terminals of doctors in related departments such as cardiology and respiratory medicine. Doctors conduct remote consultations through video conferences to discuss the patient's condition and give diagnostic opinions. The discussion content and diagnostic opinions during the consultation are automatically recorded to form a consultation report and associated with the patient's medical record. According to the consultation results, the system automatically adjusts the patient's triage level and the appointment department. The patient may be arranged to take turns to see a doctor in multiple departments or receive joint treatment;

[0065] Intelligent resource allocation: The intelligent resource allocation module detects that the emergency room is short of beds, but there is a spare emergency room that can be used immediately. The system allocates patients to the spare emergency room according to the patient's emergency situation and coordinates the relevant equipment and medical staff to be in place. At the same time, based on the recent flow pattern of patients with similar conditions, it predicts the subsequent demand for resources such as ECG monitoring equipment and ventilators, and provides suggestions for the hospital management department to arrange equipment allocation and procurement;

[0066] Patient condition monitoring and early warning: After entering the emergency room, the patient continues to wear a variety of physiological parameter monitoring devices to monitor vital signs in all directions. Once there are abnormal fluctuations in vital signs, such as the heart rate suddenly dropping to 40 beats / minute, the patient condition monitoring and early warning module will quickly issue an early warning signal to remind medical staff to take timely treatment measures.

[0067] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An emergency call number system based on pre-examination and triage indicators, characterized in that: include: The pre-examination and triage module is used to collect basic patient information, determine the triage level according to the emergency pre-examination and triage grading standards, and can be connected to other hospital information systems to obtain auxiliary triage data; The call number sorting module receives data from the pre-examination and triage module, sorts the patients according to the triage level, arrival time and other rules, and forms a call number queue; The display and voice broadcast module notifies patients and their families of the patient information in the call queue through display screen display, voice broadcast and SMS; The data storage and analysis module stores various data during the emergency treatment process and analyzes the data to generate statistical reports and provide decision-making basis; Patient identification and positioning module, which enables rapid identification of patients and real-time tracking of their location in the emergency area; Remote pre-examination and triage subsystem, which allows patients to enter information such as symptoms and medical history for preliminary triage before arriving at the hospital, and the results are synchronized with the emergency call system; The multi-department collaborative consultation module initiates multi-department consultation requests for difficult emergency patients, supports remote consultations, and adjusts patient consultation arrangements based on consultation results; Intelligent resource allocation module, which monitors the resource usage of each emergency department and makes intelligent allocation and prediction based on patient needs and resource status; The patient condition monitoring and early warning module monitors the vital signs of patients waiting for treatment in real time and issues timely warnings when abnormalities occur.

2. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The pre-examination and triage module is operated through a touch-screen computer terminal. Its built-in triage index system covers symptoms, vital signs and medical history. It is connected to the electronic medical record system and the testing and examination system to automatically obtain the patient's recent test results, past medical history and other information. Nurses complete patient information collection and triage level determination by checking boxes, entering numerical values, etc.

3. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The call number sorting module adopts a priority queue algorithm, with the triage level as the main priority. Level 1 patients take precedence over levels 2-5, and high-level patients can jump to the front of the call number queue. For patients of the same level, they are sorted in the order of arrival at the triage desk based on the timestamp, and fine-tuned with reference to age and the urgency of the disease.

4. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The display and voice broadcast module sets a high-definition LED display screen in the emergency waiting area, which displays the name, triage level, and estimated waiting time of patients with different triage levels in different areas. Through the voice broadcast device, different prompt tones and voice content are used to distinguish the call numbers of patients of different levels. It is connected with the hospital's SMS platform to send SMS containing call number information and clinic location to the patients and their families' mobile phones.

5. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The data storage and analysis module uses a relational database to store structured data and a NoSQL database to store unstructured data such as text-based diagnosis results, analyzes the number of patients, average waiting time, and emergency resource usage in different time periods and triage levels, and generates emergency daily / weekly / monthly reports and triage accuracy reports.

6. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The patient identification and positioning module equips the patient with an electronic bracelet or card with a built-in RFID chip or Bluetooth low-power module, and installs corresponding card readers or beacons at key locations in the emergency area. Nurses use handheld devices to identify the patient and bind it to the triage information. The system tracks the patient's location in real time and displays its movement trajectory on the display screen.

7. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The remote pre-examination and triage subsystem has been developed with a mobile application or WeChat applet. Patients can input basic symptoms and medical history information and upload relevant medical condition pictures through the program while on the way to the hospital or before arriving at the hospital. The system will use a built-in intelligent triage algorithm to perform preliminary triage, give triage suggestions and possible triage levels, and the results will be synchronized to the emergency call system in real time. The nurse will determine the final triage level based on on-site evaluation.

8. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: In the multi-department collaborative consultation module, the triage nurse initiates a consultation request in the system for difficult and complicated emergency patients, and the request is automatically pushed to the computer or mobile APP terminal of the doctor in the relevant department. The doctor conducts a remote consultation through video conferencing, voice calls or text chats. The discussion content and diagnostic opinions during the consultation are automatically recorded to form a consultation report and associated with the patient's medical record. The system automatically adjusts the patient's triage level and consultation department arrangement according to the consultation results.

9. The emergency call number system based on pre-examination and triage indicators according to claim 1 is characterized in that: The intelligent resource allocation module monitors the bed occupancy rate, equipment usage status and resource usage of medical staff workload in each emergency department in real time, automatically issues an alert when resources are tight, and intelligently allocates patients to other idle departments or arranges them to wait in suitable areas based on the patient's triage level and the urgency of their condition. Combined with the data analysis results, it predicts the demand for emergency resources in advance based on the patient flow patterns in different time periods and different disease types, generates a resource allocation plan, and provides suggestions for the hospital management department to arrange medical staff scheduling, equipment allocation and procurement.

10. An emergency call number method based on pre-examination and triage indicators, using an emergency call number system based on pre-examination and triage indicators as claimed in any one of claims 1 to 9, characterized in that: The following steps are involved: S1. After the patient arrives at the emergency department, the pre-examination and triage module collects the patient's information and determines the triage level; S2. The call number sorting module receives the information and sorts it to form a call number queue; S3. The display and voice broadcast module displays and broadcasts the call queue information and sends SMS messages to notify patients; S4. During the patient's medical treatment, the data storage and analysis module stores and analyzes data, the patient identification and positioning module identifies and tracks the patient's identity, the remote pre-examination and triage subsystem performs preliminary triage before the patient arrives at the hospital, the multi-department collaborative consultation module initiates and conducts consultations for difficult patients, the intelligent resource allocation module monitors and allocates emergency resources, and the patient condition monitoring and early warning module monitors and warns the vital signs of waiting patients.

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