Medical system and scheduling method based on remote data center

Abstract

The present invention provides a medical system and a scheduling method based on a remote data center. The medical system includes at least one remote data center. The remote data center includes: a remote diagnosis system configured to receive detection data about a patient received from at least one detection device, and perform predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient; and a scheduling system configured to determine a target transport tool and a target hospital within a predetermined range according to the patient's location information and the diagnosis result, and push task information to the determined target transport tool and target hospital, so as to schedule the target transport tool to transport the patient to the target hospital.

Description

Technical Field

[0001] The present application relates to a medical system and a scheduling method based on a remote data center. Background Art

[0002] Acute chest pain is one of the most common emergencies and is a group of heterogeneous diseases with chest pain as the main manifestation. With the aging of the population in my country and the surge in the burden of cardiovascular diseases, the number of patients visiting the emergency department due to acute chest pain has increased year by year. According to statistics, the number of patients with emergency chest pain has reached more than 5 million person-years, accounting for 5% to 20% of the number of emergency internal medicine visits. There are many causes of acute chest pain, and the severity of the disease varies greatly. It includes not only high-risk chest pain such as acute coronary syndrome (ACS), aortic dissection (AD), acute pulmonary embolism (APE), tension pneumothorax, but also low-risk chest pain such as gastroesophageal reflux disease, rib fractures, intercostal neuralgia, and neurosis. Acute coronary syndrome (ACS) is the most common disease causing chest pain (accounting for 1 / 3 of all chest pain and more than 95% of high-risk chest pain). There are about 290 million cardiovascular disease patients in my country, of which more than 2.5 million are ACS patients. The mortality rate of cardiovascular disease still ranks first in the composition of disease deaths in my country. Among every 5 deaths in the country, 2 die from cardiovascular and cerebrovascular diseases.

[0003] Acute chest pain has a high incidence, high mortality and disability rates, and high medical costs, and has become a major social public issue. The current situation of acute chest pain treatment in my country is full of challenges. Clinically, patients with acute chest pain have complex conditions, and insufficient diagnosis and treatment and over-treatment often occur. Research data show that less than 50% of patients admitted to the hospital with a high degree of suspected ACS are ultimately diagnosed. Some patients with a low probability of cardiac chest pain may also experience malignant cardiovascular events. In addition, "delayed treatment" in certain links after the onset of the disease can lead to adverse consequences. The Chest Pain Working Group of the European Society of Cardiology believes that there are five important links in the process of chest pain patients receiving medical assistance: patients, community physicians, dispatch centers, ambulances, and emergency departments, and each link can affect the diagnosis and treatment efficiency of chest pain patients.

[0004] The current situation in my country is that people have poor awareness and response capabilities to chest pain, patients often have delayed medical treatment, pre-hospital and remote treatment capabilities are weak, there is a lack of timely, effective and seamless connection between pre-hospital and in-hospital, and the coordinated treatment cooperation between medical units at all levels is imperfect. The model of some hospitals that mainly relies on professional consultation needs to be optimized urgently.

[0005] To this end, the present invention provides a medical system and scheduling method based on a remote data center, which utilizes the remote data center to diagnose acute chest pain diseases and schedule emergency resources, which can maximize the success rate of acute chest pain treatment, reduce mortality, and improve the level of prevention and treatment of major diseases. Summary of the invention

[0006] According to an embodiment of the present invention, a medical system based on a remote data center is provided, the system comprising:

[0007] At least one remote data center, including:

[0008] a remote diagnosis system configured to receive detection data about a patient received from at least one detection device, perform predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient; and

[0009] The scheduling system is configured to determine the target transport vehicle and the target hospital within a predetermined range based on the patient's location information and the diagnosis results, and push task information to the determined target transport vehicle and the target hospital so as to schedule the target transport vehicle to transport the patient to the target hospital.

[0010] Optionally, the at least one detection device includes at least detection devices installed in a transport vehicle, a multi-level hospital, or a patient's home.

[0011] Optionally, the dispatch system determines a target transport vehicle according to the patient's location information in response to the patient's telephone call, and pushes task information to the determined target transport vehicle, the task information including instructing the target transport vehicle to transport the patient to the patient's location and obtaining the patient's detection data through a detection device in the target transport vehicle immediately after the patient enters the target transport vehicle; and

[0012] The remote diagnosis system receives test data of a patient acquired by a test device in a target conversion tool, and performs predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient.

[0013] Optionally, the scheduling system is further configured as:

[0014] In response to the diagnosis result, determining a hospital within the predetermined range that has the ability to treat the disease as a target hospital; and

[0015] The task information is pushed to the determined target transport vehicle, wherein the task information includes instructions for the target transport vehicle to transport the patient to the determined target hospital.

[0016] Optionally, the remote diagnosis system receives test data of the patient acquired by a test device of the first hospital, and performs predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient.

[0017] Optionally, the scheduling system is further configured as:

[0018] In response to the diagnosis result, determining whether the first hospital has the ability to treat the disease;

[0019] When it is determined that the first hospital does not have the ability to treat the disease, determining a second hospital within the predetermined range that has the ability to treat the disease as a target hospital; and

[0020] Determine the target transport vehicle based on the location information of the first hospital; and

[0021] The task information is pushed to the determined target transport vehicle, wherein the task information includes instructions for the target transport vehicle to transport the patient to the determined target hospital.

[0022] Optionally, the remote diagnosis system is further configured as:

[0023] According to the type of the detection device, the detection data is analyzed using a corresponding artificial intelligence-based analysis technology to automatically generate a diagnosis result, wherein the diagnosis result includes one or more diagnosis results and / or corresponding prompt information related to the user's disease, wherein the diagnosis result is associated with the type of the detection device.

[0024] Optionally, the remote diagnosis system is further configured as:

[0025] Receive a diagnosis result generated by a doctor after analyzing the detection data, wherein the diagnosis result includes one or more diagnosis results and / or corresponding prompt information related to the user's disease, wherein the diagnosis result is associated with the type of the detection device.

[0026] Optionally, the detection device includes an electrocardiogram testing instrument, and the detection data includes electrocardiogram data of the patient.

[0027] Optionally, the disease is a chest pain disease, including one or more of the following: acute coronary syndrome (ACS), aortic dissection (AD), acute pulmonary embolism (APE), tension pneumothorax (Tension pneumothorax).

[0028] Optionally, the scheduling system is further configured as:

[0029] In response to the diagnosis result indicating that the patient's disease belongs to acute myocardial infarction (STEMI), determining a hospital with percutaneous coronary intervention (PCI) capability as a target hospital;

[0030] The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly performs the PCI treatment procedure.

[0031] Optionally, the scheduling system is further configured as:

[0032] In response to the diagnosis result indicating that the patient's disease is aortic dissection, determining a hospital with corresponding treatment capabilities as a target hospital according to the classification of dissection;

[0033] The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

[0034] Optionally, the scheduling system is further configured as:

[0035] In response to the diagnosis result indicating that the patient's disease is acute pulmonary embolism, determining a hospital with corresponding treatment capabilities as a target hospital;

[0036] The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

[0037] Optionally, the scheduling system is further configured as:

[0038] In response to the diagnosis result indicating that the patient's disease is tension pneumothorax, determining a hospital with corresponding treatment capabilities as a target hospital;

[0039] The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

[0040] Optionally, the remote data center further includes a storage system configured to convert detection data from at least one detection device into a unified data standard format, and store the converted detection data in association with patient information.

[0041] Optionally, the dispatch system further includes a map system configured to provide route information in real time according to the locations of the transport vehicle and the target hospital, and push the route information to the transport vehicle.

[0042] Optionally, the dispatch system is further configured to communicate with a traffic control system within the area so as to control traffic lights in the route.

[0043] Optionally, the data center also includes a rehabilitation follow-up management system, which is configured to group patients according to different diseases, regions and treatment times, and perform corresponding rehabilitation management and follow-up management for patients in different groups through artificial intelligence technology.

[0044] Optionally, the data center also includes an analysis system configured to collect one or more of the time from the onset of symptoms to the first medical contact, the time from the first medical contact to the acquisition of the first examination data, the time from the acquisition of the first examination data to the diagnosis, the time from the first medical contact to dual antiplatelet treatment, and the length of stay in a non-PCI hospital, to monitor whether the patient's treatment process meets predetermined standards.

[0045] Optionally, the region is an administrative division area, including a county-level region or a combination of multiple county-level regions, a city-level region or a combination of multiple city-level regions, or a provincial-level region or a combination of multiple provincial-level regions.

[0046] In another embodiment, a remote data center-based scheduling method is provided, comprising:

[0047] In response to a telephone call from a patient, a target transport vehicle is determined according to the patient's location information, and task information is pushed to the determined target transport vehicle, the task information including instructing the target transport vehicle to transport the patient to the patient's location and obtaining the patient's test data through a test device in the target transport vehicle immediately after the patient enters the target transport vehicle;

[0048] receiving detection data of a patient acquired by a detection device in a target conversion tool, and performing predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient;

[0049] In response to the diagnosis result, determining a hospital within a predetermined range that has the ability to treat the disease as a target hospital; and

[0050] The task information is pushed to the determined target transport vehicle, wherein the task information includes instructions for the target transport vehicle to transport the patient to the determined target hospital.

[0051] In another embodiment, a scheduling method based on a remote data center includes:

[0052] receiving test data of a patient acquired by a test device of a first hospital, and performing predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient;

[0053] In response to the diagnosis result, determining whether the first hospital has the ability to treat the disease;

[0054] When it is determined that the first hospital does not have the ability to treat the disease, determining a second hospital within a predetermined range that has the ability to treat the disease as a target hospital;

[0055] Determine the target transport vehicle based on the location information of the first hospital; and

[0056] The task information is pushed to the determined target transport vehicle, wherein the task information includes instructions for the target transport vehicle to transport the patient to the determined target hospital.

[0057] In another embodiment, an integrated model of an information system based on a collaborative chest pain emergency process among multiple medical institutions is provided. Based on the chest pain emergency model, some processes and informationization of emergency stations, primary medical institutions, and chest pain intervention surgery hospitals are deployed or transformed. The model includes:

[0058] Deployment of remote ECG diagnosis process and platform;

[0059] The 120 dispatch center platform is optimized to cover both 120 emergency and primary hospital transfer dispatch, transferring patients to hospitals with PCI surgery capabilities;

[0060] Through information technology, we can assist medical institutions in realizing real-time recording of the pre-hospital and in-hospital treatment of patients with chest pain (diagnosis, transfer, and treatment), as well as mutual communication (including hospitals at all levels and the 120 system), shortening the FMC2ECG, FMC2B, and D2B time of patient treatment, and shortening the patient's total ischemia time.

[0061] Therefore, according to the medical system and scheduling method based on the remote data center in the embodiment of the present invention, the remote data center is used to diagnose acute chest pain diseases and schedule emergency resources, which can maximize the success rate of acute chest pain treatment, reduce mortality, and improve the level of prevention and treatment of major diseases. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Figure 1 is a schematic diagram illustrating the operation of a prior art medical system;

[0063] Figure 2 is a schematic diagram illustrating the operation of the medical system according to the first embodiment of the present invention;

[0064] Figure 3 is an explanatory diagram for explaining a medical system according to a first embodiment of the present invention;

[0065] Figure 4 is a block diagram illustrating a medical system according to a first embodiment of the present invention;

[0066] Figure 5 is a schematic diagram illustrating a remote ECG platform of a medical system according to a first embodiment of the present invention;

[0067] Figure 6 is a block diagram illustrating a medical system according to a second embodiment of the present invention;

[0068] Figure 7 is a schematic diagram of a flow chart illustrating a first application example according to the present invention;

[0069] Figure 8 is a flow chart illustrating a second application example according to the present invention;

[0070] Fig. 9 is a flowchart illustrating a scheduling method according to a third embodiment of the present invention; and

[0071] Fig.10 is a flow chart illustrating a scheduling method according to a fourth embodiment of the present invention. DETAILED DESCRIPTION

[0072] Below, the exemplary embodiments of the present application will be described in detail with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments of the present application, and it should be understood that the present application is not limited to the exemplary embodiments described here.

[0073] Before describing the medical system according to the embodiment of the present invention, first refer to Figure 1 Describe the workflow of the medical system in the prior art.

[0074] Figure 1 Take STEMI as an example. Figure 1 As shown, when a patient feels an onset of symptoms and develops acute chest pain, he usually has two ways to get treatment.

[0075] The first way is through the ambulance emergency approach. First, the user dials the number of the 120 emergency center, and then the 120 emergency center acts as the overall dispatcher and dispatches an ambulance in the emergency station of the nearest hospital to transport the patient.

[0076] Then, the emergency station sends an ambulance to pick up the patient. The emergency doctor performs the first ECG test on the way and interprets the ECG by himself. If the initial diagnosis is suspected to be STEMI, the hospital affiliated with the emergency station is notified to prepare.

[0077] After admission, further tests such as ECG and / or troponin test are required to confirm whether it is STEMI. If it is, the patient will be arranged to enter the PCI catheterization laboratory for surgery and follow-up treatment.

[0078] However, if the hospital that sends the ambulance does not have the ability to perform PCI surgery, the patient will need to be transferred again to a PCI hospital that has PCI surgery capabilities.

[0079] In addition, when patients undergo secondary transfer, it is usually the non-PCI hospital that arranges the transfer on its own. Before the ambulance leaves, it is necessary to inquire about the patient's basic vital signs and the availability of the hospital director and ward. In addition, although the receiving hospital has a PCI doctor, the doctor is not in the hospital every day. In addition, the catheterization room PCI is shared by multiple departments, and there is no guarantee that the patient can undergo PCI surgery immediately after admission.

[0080] The second way is hospital transfer. First, the patient visits a community health service center and is suspected of STEMI after an electrocardiogram is detected. Then, the community doctor calls the nearest emergency station or the patient calls 120 on his own and requests transfer to another hospital. After receiving the call, the emergency station sends a car to receive the patient and transfers the patient to the superior hospital to which he belongs.

[0081] After admission, further tests such as ECG and / or troponin test are required to confirm whether it is STEMI. If it is, the patient will be arranged to enter the PCI catheterization laboratory for surgery and follow-up treatment.

[0082] However, if the hospital that sends the ambulance does not have the ability to perform PCI surgery, the patient will need to be transferred again to a PCI hospital that has PCI surgery capabilities.

[0083] In addition, when patients undergo secondary transfer, it is usually the non-PCI hospital that arranges the transfer on its own. Before the ambulance leaves, it is necessary to inquire about the patient's basic vital signs and the availability of the hospital director and ward. In addition, although the receiving hospital has a PCI doctor, the doctor is not in the hospital every day. In addition, the catheterization room PCI is shared by multiple departments, and there is no guarantee that the patient can undergo PCI surgery immediately after admission.

[0084] Therefore, the medical system in the prior art has a loose connection between pre-hospital and in-hospital care, and the emergency treatment efficiency is low. Patients need to have their electrocardiograms tested multiple times and need to be transferred multiple times, which results in the patient's treatment time being too long and they cannot receive rapid and effective treatment.

[0085] <First Embodiment>

[0086] Below, we will refer to the attached Figure 2 The workflow of the medical system based on the remote data center according to the first embodiment of the present invention is described. In this application, STEMI will be used as an example for explanation, but it should be noted that the medical system of the embodiment of the present application is not limited to STEMI, but can be applied to all other types of diseases, such as aortic dissection, acute pulmonary embolism, tension pneumothorax, etc.

[0087] like Figure 2 As shown, when a patient feels an onset of symptoms and develops acute chest pain, he usually has two ways to get treatment.

[0088] The first way is through the ambulance emergency approach. First, the user dials the number of the 120 emergency center, and then the 120 emergency center acts as the overall dispatcher to dispatch an ambulance from the emergency station of the nearest hospital to transfer the patient. In this embodiment, a unified emergency dispatch center is established, which is part of the remote data center and is responsible for the dispatch of all emergency affairs in the predetermined area, including the dispatch of ambulances, the dispatch of hospitals, and the dispatch of surgical departments in hospitals and the dispatch of emergency procedures, etc. The predetermined area can be, for example, an administrative division area, including a county-level area or a combination of multiple county-level areas, a city-level area or a combination of multiple city-level areas, or a provincial-level area or a combination of multiple provincial-level areas.

[0089] Then, under the control of the dispatch center, the emergency station sends an ambulance to pick up the patient. The emergency doctor performs the first ECG test on the way to obtain an ECG, and transmits the ECG to the ECG diagnosis platform of the remote data center, which is used as a remote diagnosis system. The remote diagnosis system can use artificial intelligence-based technology to read the ECG or a duty team composed of experts can directly read the ECG, give an accurate diagnosis report, and transmit it to the ambulance. If the diagnosis indicates that the patient's disease is STEMI and requires immediate PCI surgery, the dispatch center intelligently recommends the target hospital in the area based on distance and capacity.

[0090] After entering the hospital, because it had been confirmed as STEMI through the remote diagnosis system, the patient could bypass the emergency process and be directly arranged to enter the PCI catheterization room for surgery and receive subsequent follow-up treatment.

[0091] The second way is hospital transfer. First, the patient visits the community health service center, and after the electrocardiogram is detected, it is transmitted to the electrocardiogram diagnosis platform of the remote data center, which is used as a remote diagnosis system. The remote diagnosis system can use artificial intelligence-based technology to read the electrocardiogram or a duty team composed of experts can directly read the map and give an accurate diagnosis report. If the diagnosis indicates that the patient's disease is STEMI and requires immediate PCI surgery, the dispatch center intelligently recommends the target hospital in the area based on distance and capacity.

[0092] After entering the hospital, because it had been confirmed as STEMI through the remote diagnosis system, the patient could bypass the emergency process and be directly arranged to enter the PCI catheterization room for surgery and receive subsequent follow-up treatment.

[0093] Therefore, the medical system according to the embodiment of the present invention provides an online electrocardiogram diagnosis service by utilizing a remote electrocardiogram diagnosis platform. Through artificial intelligence technology or by experts in the PCI hospital quickly reading the electrocardiogram, a preliminary diagnosis is made, and the diagnosis result is transmitted to the ambulance or primary medical institution where the patient is located. Then, through a unified dispatch center, the nearest PCI hospital with PCI treatment capabilities is recommended, so that the ambulance can directly transfer the patient to the PCI hospital with PCI treatment capabilities without any time delay. In the case of STEMI diagnosed by the remote diagnosis system, the PCI hospital can bypass the emergency department and go directly to the interventional catheterization room for treatment of patients with high-risk myocardial infarction who have been clearly diagnosed, thereby greatly reducing the patient's total ischemia time and reducing the mortality rate.

[0094] In order to realize such a medical system, Figure 3 As shown, this application proposes an integration model of an information system based on a collaborative chest pain emergency process among multiple medical institutions. On the basis of the chest pain emergency model, some processes and informationization of emergency stations, primary medical institutions, and chest pain interventional surgery hospitals are deployed or transformed.

[0095] like Figure 3 As shown in the figure, the main system deployment includes: deployment of remote ECG diagnosis platform. Through the remote ECG diagnosis platform, ECG machine docking, remote diagnosis / consultation, and time collection can be realized. Therefore, real-time records of chest pain patients in the pre-hospital and in-hospital (diagnosis, transfer, treatment) can be realized.

[0096] The main system deployment also includes: upgrading the existing 120 main system. Through the platform optimization of the 120 dispatch center, grassroots hospitals can call 120 with one click, recommend the best hospital, and inform the hospital of the preparation work before the hospital. Therefore, it can cover the dispatch of 120 emergency and grassroots hospital transfer at the same time, and transfer patients to hospitals with PCI surgery capabilities.

[0097] In addition, corresponding deployments are also carried out in hospitals, mainly in surgical hospitals, emergency stations and non-surgical hospitals.

[0098] For example, a surgical hospital may deploy an ambulance equipped with a remote transmission electrocardiograph to transmit the patient's electrocardiogram to a remote electrocardiograph diagnosis platform.

[0099] In addition, the hospital also deploys an in-hospital notification system, which can be deployed in the emergency room, cardiology department or catheterization room, for example. This can directly transmit patient-related information and electrocardiogram data to the corresponding department.

[0100] Corresponding deployment is also carried out in the first aid station. For example, the first aid station can be deployed with an ambulance, and the ambulance is deployed with a remote transmission electrocardiograph to transmit the patient's electrocardiogram to the remote electrocardiograph diagnosis platform.

[0101] In addition, corresponding deployment is also carried out in non-surgical hospitals. For example, an ambulance can be deployed with a remote transmission electrocardiograph to transmit the patient's electrocardiogram to the remote electrocardiograph diagnosis platform. In addition, non-surgical hospitals can also deploy specially designed apps to realize one-click calling of 120.

[0102] By utilizing such an integrated model of an information system based on a collaborative chest pain emergency process among multiple medical institutions, information technology can be used to assist medical institutions in achieving real-time recording of chest pain patients' pre-hospital and in-hospital treatment (diagnosis, transfer, and treatment), as well as mutual communication (including hospitals at all levels and the 120 system), thereby shortening the FMC2ECG, FMC2B, and D2B time for patient treatment and shortening the patient's total ischemia time.

[0103] Next, we will refer to Figure 4 A medical system 400 according to a first embodiment of the present invention is described. Figure 4 is a block diagram illustrating a medical system 400 according to a first embodiment of the present invention.

[0104] like Figure 4 As shown, the medical system 400 according to the first embodiment of the present invention includes at least one remote data center 401. The remote data center 401 includes a remote diagnosis system 402 and a scheduling system 403.

[0105] The remote diagnosis system 402 may receive detection data about a patient received from at least one detection device, and perform predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient.

[0106] The at least one detection device includes at least one detection device installed in a transport vehicle, a multi-level hospital, and a patient's home. For example, the ECG monitoring device in an ambulance, the ECG monitoring device in a primary hospital, and the ECG monitoring device in a patient's home can send the detected ECG of the user to the remote diagnosis system 402 so as to perform remote diagnosis through the remote diagnosis system 402.

[0107] In one embodiment, the remote diagnosis system 402 can analyze the detection data using corresponding artificial intelligence-based analysis technology according to the type of the detection device to automatically generate a diagnosis result, wherein the diagnosis result includes one or more diagnosis results and / or corresponding prompt information related to the user's disease, wherein the diagnosis result is associated with the type of the detection device.

[0108] For example, when the detection device is an electrocardiogram detection device, the remote diagnosis system 402 can use artificial intelligence analysis technology for electrocardiogram reading to analyze the electrocardiogram data, thereby automatically generating a diagnosis result.

[0109] For example, when the detection device is a pulmonary function meter, the remote diagnosis system 402 can use artificial intelligence analysis technology for pulmonary function to analyze the pulmonary function data, thereby automatically generating a diagnosis result.

[0110] In another embodiment, the remote diagnosis system 402 may be operated by a doctor. The backstage doctor group is on duty online 24 hours a day, 7 days a week. Once the test data is received, the test data is quickly analyzed and a diagnosis result is made. The remote diagnosis system 402 receives the diagnosis result generated by the doctor after analyzing the test data, and the diagnosis result includes one or more diagnosis results and / or corresponding prompt information related to the user's disease, wherein the diagnosis result is associated with the type of the detection device.

[0111] Figure 5 FIG. 2 is a schematic diagram of a remote electrocardiogram diagnosis system according to a first embodiment of the present invention. Figure 5 As shown, the remote ECG diagnosis system can receive ECG data detected by detection equipment in, for example, ambulances, community hospitals, and secondary and tertiary non-PCI hospitals, and then make a diagnosis by analyzing the ECG data through artificial intelligence analysis technology and / or doctors.

[0112] The remote ECG diagnosis system can collect ECG data from multiple data sources, capture abnormal waveforms in the ECG, and then analyze the ECG data, conduct ECG evaluation and / or consultation, and make a diagnosis. In addition, the remote ECG diagnosis system can also record the time nodes of ECG uploading, ECG analysis, ECG evaluation and / or consultation, and making and sending the diagnosis results back to the data source, so as to facilitate subsequent process evaluation and quality control.

[0113] The scheduling system 403 can determine the target transport vehicle and target hospital within a predetermined range based on the patient's location information and the diagnosis results, and push task information to the determined target transport vehicle and target hospital so as to schedule the target transport vehicle to transport the patient to the target hospital.

[0114] As described above, the dispatch system 403 can be connected to the 120 emergency center in the predetermined area. In one embodiment, the dispatch system 403 can respond to the patient's telephone call, determine the target transport tool (i.e., ambulance) according to the patient's location information, and push task information to the determined target transport tool, the task information including the task number, instructing the target transport tool to transport the patient to the patient's location, and obtaining the patient's detection data through the detection device in the target transfer tool immediately after the patient enters the target transfer tool.

[0115] The task number is the number assigned to this task. The same number can be used in subsequent hospital treatment, follow-up of patients after discharge, and statistical analysis, so as to facilitate data association and sharing between various systems.

[0116] That is, when the patient feels unwell, he or she can call the emergency number 120. In response to the patient calling 120, the dispatch system 403 can determine the ambulance near the patient according to the patient's location information, and send the task information to the determined ambulance, instructing the ambulance to pick up the patient at the patient's location. In addition, after the ambulance picks up the patient, the dispatch system 403 also instructs the use of the electrocardiogram in the ambulance to detect the patient's electrocardiogram. In this way, the time for obtaining the patient's electrocardiogram for the first time can be greatly advanced, without having to wait until the patient is admitted to the hospital to obtain the electrocardiogram.

[0117] After obtaining the patient's electrocardiogram in the ambulance, it can be sent to the remote diagnosis system 402. The remote diagnosis system 402 can receive the patient's test data obtained by the detection equipment in the ambulance, and perform predetermined processing on the test data to obtain a diagnosis result indicating the patient's disease.

[0118] Then, the remote diagnosis system 402 sends the diagnosis result back to the ambulance. At this time, the dispatch system 403 can respond to the diagnosis result and determine the hospital within the predetermined range that has the ability to treat the disease as the target hospital. For example, if the diagnosis result is that the patient has STEMI, the dispatch system 403 can determine the PCI hospital within the city that has the ability to treat STEMI, and select the nearest hospital with an available catheterization room and a doctor on duty as the target hospital.

[0119] Then, the dispatch system 403 pushes the task information to the determined target transport tool, and the task information includes instructing the target transport tool to transport the patient to the determined target hospital. The ambulance can quickly transport the patient to the determined target PCI hospital according to the task information of the dispatch system 403.

[0120] Because the target hospital had already obtained the patient's STEMI electrocardiogram and information that the patient was about to be admitted to the hospital, the target hospital was able to bypass the emergency process and directly proceed to the PCI treatment process.

[0121] In another embodiment, when a patient feels unwell, he / she first goes to a primary hospital (eg, a community health service center) and has an electrocardiogram (ECG) detected by an ECG instrument in the primary hospital. The ECG is then transmitted to the remote diagnosis system 402 .

[0122] The remote diagnosis system 402 may receive the detection data of the patient acquired by the detection equipment in the ambulance, and perform predetermined processing on the detection data to obtain a diagnosis result indicating the disease of the patient.

[0123] Then, the remote diagnosis system 402 sends the diagnosis result back to the primary hospital. At this time, the scheduling system 403 can respond to the diagnosis result and determine whether the primary hospital has the ability to treat the disease. When it is determined that the primary hospital does not have the ability to treat the disease, the hospital with the ability to treat the disease within the predetermined range is determined as the target hospital. For example, in the case where the diagnosis result is that the patient has STEMI, the scheduling system 403 can determine the PCI hospital with the ability to treat STEMI within the city, and select the nearest hospital with an available catheter room and a doctor on duty as the target hospital.

[0124] Then, the dispatch system 403 determines a nearby ambulance as a target transport tool based on the location information of the primary hospital, and pushes task information to the determined ambulance, wherein the task information includes instructing the ambulance to transport the patient to the determined target hospital. The ambulance can quickly transport the patient to the determined target PCI hospital based on the task information of the dispatch system 403.

[0125] Because the target hospital had already obtained the patient's STEMI electrocardiogram and information that the patient was about to be admitted to the hospital, the target hospital was able to bypass the emergency process and directly proceed to the PCI treatment process.

[0126] In this way, through the early diagnosis of the remote diagnosis system 402 and the intelligent scheduling of the optimal target hospital by the dispatch center 403, the connection between the pre-hospital and the hospital can be increased, so that the target hospital can prepare the corresponding catheterization room in advance and bypass the emergency process and directly perform the PCI treatment process, thereby greatly reducing the patient's total ischemia time and reducing the mortality rate.

[0127] <Second Embodiment>

[0128] Next, we will refer to Figure 6 A medical system 600 according to a second embodiment of the present invention is described. Figure 6 is a block diagram illustrating a medical system 600 according to a second embodiment of the present invention.

[0129] like Figure 6 As shown, the medical system 600 according to the second embodiment of the present invention includes at least one remote data center 601. The remote data center 601 includes a remote diagnosis system 402, a scheduling system 403, a storage system 604, a map system 605, a rehabilitation follow-up system 606 and an analysis system 607.

[0130] The functions of the remote diagnosis system 402 and the scheduling system 403 in the medical system 600 according to the second embodiment of the present invention are substantially the same as those of the remote diagnosis system 402 and the scheduling system 403 in the medical system 400 according to the first embodiment, and a detailed description thereof is omitted herein.

[0131] Next, the storage system 604 , the map system 605 , the rehabilitation follow-up system 606 , and the analysis system 607 are mainly described.

[0132] Because the data source may include multiple detection devices located in different locations, and the detection data obtained by the same detection devices from different manufacturers may have different formats, in order to facilitate centralized storage and management of data, the storage system 604 can convert the detection data from at least one detection device into a unified data standard format, and store the converted detection data in association with patient information.

[0133] For example, for ECG data, there is currently no mandatory standard for the ECG data format. Existing equipment basically follows manufacturer standards or regional standards. The more common formats are MFER, SCP, MIT, MML, Dicom, and HL7-aECG. According to the connectivity, compatibility, and scalability construction requirements of the ECG data exchange platform, ECG data can be unified into the HL7-aECG data standard format. The HL7-aECG data standard format complies with the relevant provisions of the HL7 standard. The regional ECG business library is based on the HL7-aECG data standard, and its data comes from grassroots hospitals and communities. The ECG data submitted by each medical institution needs to be converted and stored in accordance with the HL7-aECG standard format and data interaction is carried out based on this definition.

[0134] The storage system 604 can also provide file storage, database management, system backup and disaster recovery processing, as well as application services provided on this basis, including patient primary index (PID) maintenance, message push system, data analysis service, consultation service, institution management, examination data mining, data monitoring and automatic early warning.

[0135] The map system 605 can provide route information in real time according to the location of the transport vehicle and the target hospital, and push the route information to the transport vehicle.

[0136] For example, the map system 605 provides emergency electronic maps, including real-time regional electronic map services.

[0137] The electronic map supports fast zooming of the map: the operation can be done by clicking on the map to zoom in / out by half, selecting a certain area on the map to zoom in / out to display the entire area, zooming in / out to a specific scale, etc.

[0138] The electronic map supports place name query: input the name of the feature to be queried or part of the name to query the location of the feature on the map.

[0139] In addition, the electronic map provides an emergency vehicle positioning function: it can display real-time GPS data, and display and dynamically monitor the vehicle's current location and license plate number on the map.

[0140] Map system 605 can also manage regional emergency tasks. For example, map system 605 can

[0141] Achieve unified management of all emergency tasks, and view all emergency task information and status on the same interface. Achieve the association between tasks and vehicles, and view the patient's condition information on the designated ambulance. View regional emergency resource warning information to assist command and dispatch personnel in command and dispatch. View the large-screen announcement information of regional emergency patients to fully understand the patient's treatment status.

[0142] In addition, the map system 605 can also realize the viewing of regional emergency electronic medical records. For example, the emergency electronic medical records of emergency patients can be viewed, the electrocardiogram information of emergency patients can be viewed, and the waveforms collected by the emergency vehicle monitor can be viewed.

[0143] In addition, the map system 605 can also communicate with the traffic control system in the area to control the traffic lights in the route. In this way, it can be ensured that the traffic lights on the route from the ambulance to the hospital remain unobstructed to ensure that the ambulance arrives at the hospital as quickly as possible.

[0144] The rehabilitation follow-up system 606 can group patients according to different diseases, regions and treatment times, and perform corresponding rehabilitation management and follow-up management for patients in different groups through artificial intelligence technology.

[0145] Rehabilitation management includes functions such as patient management, rehabilitation assessment, rehabilitation programs and plans, and patient treatment status monitoring. The rehabilitation follow-up system 606 can enable doctors to manage patient rehabilitation. The rehabilitation program is formulated by clinical doctors and implemented by community rehabilitation doctors.

[0146] Follow-up management refers to the joint follow-up of discharged patients by the AI ​​service desk, hospitals and community doctors. According to different diseases, corresponding follow-up management functions and scripts are developed to provide mobile follow-up management functions for hospital doctors and community doctors respectively. Health management knowledge base and medication guidance knowledge base are provided for community doctors.

[0147] The artificial intelligence follow-up and patient management functions mainly include follow-up management of diseases such as acute myocardial infarction, aortic dissection, tension pneumothorax, and pulmonary embolism.

[0148] The analysis system 607 can collect one or more of the time from the onset of symptoms to the first medical contact, the time from the first medical contact to the acquisition of the first examination data, the time from the acquisition of the first examination data to the diagnosis, the time from the first medical contact to dual antiplatelet treatment, and the length of stay in a non-PCI hospital, to monitor whether the patient's treatment process meets the predetermined standards.

[0149] By collecting the time of the whole process of chest pain treatment from pre-hospital, in-hospital to post-hospital, we can conduct quality control on chest pain treatment. The quality control standard refers to the relevant standards of the National Chest Pain Center. The time parameters mainly include:

[0150] S2FMC time, time from symptom to first medical contact

[0151] FMC2EKG time, time from first medical contact to first electrocardiogram

[0152] Time from first EKG to diagnosis

[0153] Time from first medical contact to dual antiplatelet therapy

[0154] Non-PCI hospital stay

[0155] D2B time

[0156] D2N time

[0157] By analyzing the treatment time, the chest pain treatment capabilities in the entire region can be evaluated, which helps the medical system improve the treatment process and determine the optimal solution.

[0158] The effectiveness of chest pain treatment can be evaluated through the following aspects before, during and after hospital procedures.

[0159] Diagnostic quality control: compliance rate of pre-hospital diagnosis, emergency initial diagnosis, and in-hospital diagnosis, etc.

[0160] Mortality statistics: pre-hospital emergency mortality rate, in-hospital emergency mortality rate, surgical mortality rate, treatment success rate, etc.

[0161] Effect evaluation: first aid effect evaluation, in-hospital treatment effect evaluation, rehabilitation effect evaluation, etc.

[0162] It should be noted that, although the storage system 604, the map system 605, the rehabilitation follow-up system 606, and the analysis system 607 are shown in the medical system 600 according to the second embodiment, the storage system 604, the map system 605, the rehabilitation follow-up system 606, and the analysis system 607 are not necessarily all included. One or more of the storage system 604, the map system 605, the rehabilitation follow-up system 606, and the analysis system 607 may be selectively included to form a new medical system.

[0163] In this way, through the early diagnosis of the remote diagnosis system 402 and the intelligent scheduling of the optimal target hospital by the dispatch center 403, the connection between the pre-hospital and the hospital can be increased, so that the target hospital can prepare the corresponding catheterization room in advance and bypass the emergency process and directly perform the PCI treatment process, thereby greatly reducing the patient's total ischemia time and reducing the mortality rate.

[0164] Through the storage system 604, the map system 605, the rehabilitation follow-up system 606 and the analysis system 607, the data correlation, post-hospital connection and data availability between multiple systems can be increased.

[0165] 1. First application example

[0166] Next, we will refer to Figure 7 The first application example of the medical system 400 or 600 is described. The first application example is an application example in which a patient seeks emergency help through a telephone call.

[0167] Medical system 400 or 600 is applied to a region of a prefecture-level city, for example, which includes four districts, one county, and one prefecture-level city. In this region, three hospitals have PCI capabilities, two hospitals have emergency PCI and elective PCI capabilities, and one hospital has elective PCI capabilities.

[0168] The 120 emergency center in this area is not a regular independent operation system, but relies on 8 emergency stations to dispatch and send vehicles. These emergency stations are also deployed in the hospitals where they belong. When an emergency station in a hospital receives a call from a patient, it will send the order to the 8 emergency stations nearby, including itself, and then the corresponding emergency station will send a vehicle to the hospital to which it belongs.

[0169] By using the medical system 400 or 600 according to the embodiment of the present invention, when a patient feels unwell and calls for emergency assistance, the 120 emergency station receives the task and dispatches the patient to the nearest emergency station.

[0170] The patient's nearest emergency station will immediately send a car after receiving the task.

[0171] The 120 ambulance is dispatched to take the patient to the hospital. In the 120 ambulance, an electrocardiogram test is started and the electrocardiogram is transmitted to the remote diagnosis system (i.e., Figure 6 Mobile doctor workstation in the

[0172] The mobile doctor workstation will make a preliminary diagnosis of STEMI after diagnosis through the artificial intelligence electrocardiogram diagnosis platform or the on-duty doctor team. Then, the preliminary diagnosis result will be sent to the patient's nearest emergency station.

[0173] When the initial diagnosis is STEMI, the nearest emergency station determines the nearest PCI hospital and instructs the ambulance to transport the patient to the determined PCI hospital. If the initial diagnosis is not STEMI, the ambulance can transport the patient to the original target hospital (for example, the nearest non-PCI hospital) or the hospital designated by the patient. The emergency station informs the dispatch center of the final target hospital.

[0174] When the initial diagnosis is STEMI, the patient's opinion can also be consulted. If the patient accepts the target PCI hospital determined by the emergency station, the dispatch center notifies the target PCI hospital to be ready to receive the patient and make corresponding preparations. If the patient does not accept, the ambulance can transport the patient to the hospital designated by the patient. The emergency station informs the dispatch center of the final target hospital.

[0175] When the ambulance arrives at the hospital, the PCI hospital is ready to receive the patient. At this time, the target PCI can refer to the initial diagnosis to further confirm whether it is STEMI. If it is, bypass the emergency room, conduct a preoperative conversation, and enter the catheterization room for PCI interventional treatment. After the treatment is completed, hospitalization and recovery.

[0176] If it is further confirmed that it is not STEMI but other diseases, follow the routine treatment process and conduct other examinations and treatments.

[0177] In this way, within the predetermined area, when the patient has STEMI, the number of transfers can be reduced, allowing the target hospital to prepare the corresponding catheterization room in advance and bypass the emergency process and directly proceed with the PCI treatment process, thereby greatly reducing the patient's total ischemia time and reducing the mortality rate.

[0178] 2. Second application example

[0179] Next, we will refer to Figure 8 The second application example of the medical system 400 or 600 is described. The second application example is an application example in which a patient is transferred from a primary hospital to a PCI hospital.

[0180] The medical system 400 or 600 is applied to a region of a large city, for example. In the region, there are 16 tertiary hospitals, 53 secondary hospitals, 88 community service centers, and 18 hospitals with PCI capabilities.

[0181] In such a large area, when patients feel unwell, they usually choose to go to community health service centers or primary hospitals for treatment. At the community health service center, the electrocardiogram and / or point-of-care testing (POCT) test results are first tested. Community health service centers usually use point-of-care testing equipment to detect routine test data, such as blood pressure, blood sugar, etc. At this time, the community health service center immediately transmits the electrocardiogram data to the remote diagnosis system (i.e., Figure 7The mobile doctor workstation in the computer is used for diagnosis.

[0182] The mobile doctor workstation will make a preliminary diagnosis of STEMI after diagnosis through the artificial intelligence electrocardiogram diagnosis platform or the on-duty doctor team. Then, the preliminary diagnosis result will be sent to the patient's nearest emergency station.

[0183] When the initial diagnosis is STEMI, the mobile doctor workstation returns the initial diagnosis results to the community health service center, which immediately calls the 120 dispatch desk and transmits the electrocardiogram and POCT results to the 120 dispatch desk.

[0184] The 120 dispatch station (i.e., information center) immediately dispatches a vehicle after receiving the task from the nearest emergency station for the ECG patient. The information center can determine the optimal PCI hospital based on the distance and CPC catheterization laboratory capacity.

[0185] The 120 ambulance will go to the community center to pick up the patient and take him to the designated target PCI hospital.

[0186] If the initial diagnosis is not STEMI, the ambulance can transport the patient to another destination hospital (eg, the nearest non-PCI hospital) or the patient's designated hospital.

[0187] When the initial diagnosis is STEMI, the patient's opinion can also be consulted. If the patient accepts the target PCI hospital determined by the emergency station, the dispatch center notifies the target PCI hospital to be ready to receive the patient and make corresponding preparations. If the patient does not accept, the ambulance can transport the patient to the hospital designated by the patient.

[0188] When the ambulance arrives at the hospital, the PCI hospital is ready to receive the patient. At this time, the target PCI can refer to the initial diagnosis to further confirm whether it is STEMI. If it is, bypass the emergency room, conduct a preoperative conversation, and enter the catheterization room for PCI interventional treatment. After the treatment is completed, hospitalization and recovery.

[0189] If it is further confirmed that it is not STEMI but other diseases, follow the routine treatment process and conduct other examinations and treatments.

[0190] In this way, within the predetermined area, when the patient has STEMI, the number of transfers can be reduced, allowing the target hospital to prepare the corresponding catheterization room in advance and bypass the emergency process and directly proceed with the PCI treatment process, thereby greatly reducing the patient's total ischemia time and reducing the mortality rate.

[0191] <Third Embodiment>

[0192] Below, we will refer to the attached Fig. 9 A scheduling method according to a third embodiment of the present invention is described.

[0193] like Fig. 9 As shown, the scheduling method 900 according to the third embodiment of the present invention includes the following steps:

[0194] S901: In response to a telephone call from a patient, a target transport tool is determined according to the patient's location information, and task information is pushed to the determined target transport tool, wherein the task information includes instructing the target transport tool to transport the patient to the patient's location and obtaining the patient's test data through a test device in the target transport tool immediately after the patient enters the target transport tool;

[0195] S902: receiving detection data of a patient acquired by a detection device in a target conversion tool, and performing predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient;

[0196] S903: In response to the diagnosis result, determining a hospital within a predetermined range that has the ability to treat the disease as a target hospital; and

[0197] S904: Pushing task information to the determined target transport vehicle, wherein the task information includes instructing the target transport vehicle to transport the patient to the determined target hospital.

[0198] Specifically, in step S901, the 120 dispatch center responds to the patient's phone call and dispatches an ambulance to the patient according to the patient's location information. While dispatching the ambulance, the 120 dispatch center pushes task information to the ambulance, including instructing the ambulance to transport the patient to the patient's location and obtaining the patient's test data, such as an electrocardiogram, through the test equipment in the ambulance immediately after the patient enters the ambulance.

[0199] Then, in step S902, the remote diagnosis system receives the electrocardiogram of the patient sent by the ambulance and makes a diagnosis through the artificial intelligence system or the expert group, for example, determining that the patient has STEMI.

[0200] Then, in step S903, the dispatch center determines, in response to the diagnosis result, a hospital in the city that is closest to the patient and has the ability to treat STEMI as a target hospital.

[0201] The dispatch center then instructs the ambulance to transport the patient directly to the determined target hospital. At the same time, the dispatch center notifies the target PCI hospital to be ready to receive the patient and make corresponding preparations.

[0202] When the ambulance arrives at the hospital, the PCI hospital is ready to receive the patient. At this time, the target PCI can refer to the initial diagnosis to further confirm whether it is STEMI. If it is, bypass the emergency room, conduct a preoperative conversation, and enter the catheterization room for PCI interventional treatment. After the treatment is completed, hospitalization and recovery.

[0203] If it is further confirmed that it is not STEMI but other diseases, follow the routine treatment process and conduct other examinations and treatments.

[0204] In this way, when the patient has STEMI, the number of transfers can be reduced, allowing the target hospital to prepare the corresponding catheterization room in advance and bypass the emergency process and directly proceed to the PCI treatment process, which can greatly reduce the patient's total ischemia time and reduce the mortality rate.

[0205] <Fourth Embodiment>

[0206] Below, we will refer to the attached Fig.10 A scheduling method according to a fourth embodiment of the present invention is described.

[0207] like Fig.10 As shown, the scheduling method 1000 according to the fourth embodiment of the present invention includes the following steps:

[0208] S1001: receiving test data of a patient acquired by a test device of a first hospital, and performing predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient;

[0209] S1002: In response to the diagnosis result, determining whether the first hospital has the ability to treat the disease;

[0210] S1003: When it is determined that the first hospital does not have the ability to treat the disease, a second hospital within a predetermined range that has the ability to treat the disease is determined as a target hospital;

[0211] S1004: Determine the target transport vehicle according to the location information of the first hospital; and

[0212] S1005: Pushing task information to the determined target transport vehicle, wherein the task information includes instructing the target transport vehicle to transport the patient to the determined target hospital.

[0213] Specifically, in step S1001, when the patient first tests the electrocardiogram and / or point-of-care testing (POCT) test results at the hospital where he / she is being treated, the hospital where he / she is being treated transmits the electrocardiogram data and / or POCT test results to the remote diagnosis system for diagnosis.

[0214] The mobile doctor workstation will make a preliminary diagnosis of STEMI after diagnosis through the artificial intelligence electrocardiogram diagnosis platform or the on-duty doctor team.

[0215] In step S1002, the dispatch center 120 determines whether the hospital has the ability to treat STEMI disease in response to the diagnosis result.

[0216] In step S1003, when the 120 dispatch center determines that the hospital where the patient is treated does not have the ability to treat STEMI, the 120 dispatch center determines the hospital closest to the patient in the city and having the ability to treat STEMI as the target hospital.

[0217] Then, in step S1004, the dispatch center 120 determines the ambulance to be dispatched based on the location of the hospital being treated.

[0218] Finally, in step S1005, the 120 dispatch center instructs the ambulance to directly transport the patient to the determined target hospital. At the same time, the dispatch center notifies the target PCI hospital to be ready to receive the patient and make corresponding preparations.

[0219] When the ambulance arrives at the hospital, the PCI hospital is ready to receive the patient. At this time, the target PCI can refer to the initial diagnosis to further confirm whether it is STEMI. If it is, bypass the emergency room, conduct a preoperative conversation, and enter the catheterization room for PCI interventional treatment. After the treatment is completed, hospitalization and recovery.

[0220] If it is further confirmed that it is not STEMI but other diseases, follow the routine treatment process and conduct other examinations and treatments.

[0221] In this way, when the patient has STEMI, the number of transfers can be reduced, allowing the target hospital to prepare the corresponding catheterization room in advance and bypass the emergency process and directly proceed to the PCI treatment process, which can greatly reduce the patient's total ischemia time and reduce the mortality rate.

[0222] It should be noted that the above embodiments are merely used as examples, and the present application is not limited to such examples, but various changes can be made.

[0223] It should be noted that, in this specification, the terms "include", "comprises" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0224] Finally, it should be noted that the above series of processing includes not only processing executed in time series in the order described here, but also processing executed in parallel or separately rather than in time series.

[0225] Through the description of the above implementation methods, those skilled in the art can clearly understand that the present application can be implemented by means of software plus the necessary hardware platform, and of course it can also be implemented entirely by hardware. Based on such an understanding, all or part of the contribution of the technical solution of the present application to the background technology can be embodied in the form of a software product, and the computer software product can be stored in a storage medium, such as ROM (read-only memory) / RAM (random access memory), a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application or some parts of the embodiments.

[0226] The above is a detailed introduction to the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A medical system based on a remote data center, the system comprising: At least one remote data center, including: a remote diagnosis system configured to receive detection data about a patient received from at least one detection device, perform predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient; and The dispatching system is configured to determine a target transport vehicle and a target hospital within a predetermined range according to the patient's location information and the diagnosis result, and push task information to the determined target transport vehicle and the target hospital, so as to dispatch the target transport vehicle to transport the patient to the target hospital. Wherein, the remote diagnosis system is further configured to: analyze the detection data using a corresponding artificial intelligence-based analysis technology according to the type of the detection device to automatically generate a diagnosis result, wherein the diagnosis result includes one or more diagnosis results related to the user's disease, wherein the diagnosis result is associated with the type of the detection device; The data center also includes an analysis system configured to collect one or more of the following information: the time from the onset of symptoms to the first medical contact, the time from the first medical contact to the acquisition of the first examination data, the time from the acquisition of the first examination data to the diagnosis, the time from the first medical contact to dual antiplatelet treatment, and the length of stay in the hospital for non-percutaneous coronary intervention (PCI), to monitor whether the patient's treatment process meets the predetermined standards.

2. The medical system of claim 1, wherein: The at least one detection device includes at least detection devices arranged in a transport vehicle, a multi-level hospital and a patient's home.

3. The medical system of claim 2, wherein: The dispatch system responds to the patient's telephone call, determines the target transport vehicle according to the patient's location information, and pushes task information to the determined target transport vehicle, the task information including a task number, instructing the target transport vehicle to transport the patient to the patient's location, and obtaining the patient's test data through the test equipment in the target transport vehicle immediately after the patient enters the target transport vehicle; as well as The remote diagnosis system receives test data of a patient acquired by a test device in a target conversion tool, and performs predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient.

4. The medical system of claim 3, wherein: The scheduling system is further configured as: In response to the diagnosis result, determining a hospital within the predetermined range that has the ability to treat the disease as a target hospital; and The task information is pushed to the determined target transport vehicle, wherein the task information includes instructions for the target transport vehicle to transport the patient to the determined target hospital.

5. The medical system of claim 2, wherein: The remote diagnosis system receives test data of a patient acquired by a test device of a first hospital, and performs predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient.

6. The medical system of claim 5, wherein: The scheduling system is further configured as: In response to the diagnosis result, determining whether the first hospital has the ability to treat the disease; When it is determined that the first hospital does not have the ability to treat the disease, determining a second hospital within the predetermined range that has the ability to treat the disease as a target hospital; as well as Determine the target transport vehicle based on the location information of the first hospital; as well as The task information is pushed to the determined target transport vehicle, wherein the task information includes a task number, patient information, and instructions to the target transport vehicle to transport the patient to the determined target hospital.

7. The medical system of claim 1, wherein: The remote diagnosis system is further configured as follows: Receive a diagnosis result generated by a doctor after analyzing the detection data, wherein the diagnosis result includes one or more diagnosis results and / or corresponding prompt information related to the user's disease, wherein the diagnosis result is associated with the type of the detection device.

8. The medical system according to claim 1 or 7, wherein: The detection device includes an electrocardiogram testing instrument, and the detection data includes electrocardiogram data of a patient.

9. The medical system of claim 8, wherein: The disease is a chest pain disease, including acute myocardial infarction-type disease, which includes one or more of the following: acute coronary syndrome (ACS), aortic dissection (AD), acute pulmonary embolism (APE), and tension pneumothorax.

10. The medical system of claim 9, wherein: The scheduling system is further configured as: In response to the diagnosis result indicating that the patient's disease belongs to acute myocardial infarction (STEMI), determining a hospital with percutaneous coronary intervention (PCI) capability as a target hospital; The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly performs the PCI treatment procedure.

11. The medical system of claim 9, wherein: The scheduling system is further configured as: In response to the diagnosis result indicating that the patient's disease is aortic dissection, determining a hospital with corresponding treatment capabilities as a target hospital according to the classification of dissection; The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

12. The medical system of claim 9, wherein: The scheduling system is further configured as: In response to the diagnosis result indicating that the patient's disease is acute pulmonary embolism, determining a hospital with corresponding treatment capabilities as a target hospital; The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

13. The medical system of claim 9, wherein: The scheduling system is further configured as: In response to the diagnosis result indicating that the patient's disease is tension pneumothorax, determining a hospital with corresponding treatment capabilities as a target hospital; The notification information is pushed to the target hospital, where the target hospital bypasses the emergency procedure for the patient and directly carries out the treatment procedure.

14. The medical system of claim 1, wherein: The remote data center also includes a storage system configured to convert detection data from at least one detection device into a unified data standard format and store the converted detection data in association with patient information.

15. The medical system of claim 1, wherein: The dispatch system also includes a map system configured to provide route information in real time according to the location of the transport vehicle and the target hospital, and push the route information to the transport vehicle.

16. The medical system of claim 15, wherein the dispatch system is further configured to communicate with a traffic control system within the predetermined range so as to control traffic lights in the route.

17. The medical system as described in claim 1, wherein the data center also includes a rehabilitation follow-up management system configured to group patients according to different diseases, regions and treatment times, and perform corresponding rehabilitation management and follow-up management for patients in different groups through artificial intelligence technology.

18. The medical system of claim 1, wherein the predetermined range is an administrative area, including a county-level area or a combination of multiple county-level areas, a city-level area or a combination of multiple city-level areas, or a provincial-level area or a combination of multiple provincial-level areas.

19. A scheduling method based on a remote data center, comprising: In response to a telephone call from a patient, a target transport vehicle is determined according to the patient's location information, and task information is pushed to the determined target transport vehicle, the task information including instructing the target transport vehicle to transport the patient to the patient's location and obtaining the patient's test data through a test device in the target transport vehicle immediately after the patient enters the target transport vehicle; receiving detection data of a patient acquired by a detection device in a target conversion tool, and performing predetermined processing on the detection data to obtain a diagnosis result indicating a disease of the patient; In response to the diagnosis result, determining a hospital within a predetermined range that has the ability to treat the disease as a target hospital; as well as Pushing task information to the determined target transport vehicle, wherein the task information includes instructing the target transport vehicle to transport the patient to the determined target hospital, The receiving of the detection data of the patient acquired by the detection device in the target conversion tool, and performing predetermined processing on the detection data to obtain a diagnosis result indicating the disease of the patient, comprises: According to the type of the detection device, using a corresponding artificial intelligence-based analysis technology to analyze the detection data to automatically generate a diagnosis result, the diagnosis result including one or more diagnosis results related to the user's disease, wherein the diagnosis result is associated with the type of the detection device; The scheduling method also includes collecting one or more of the time from the onset of symptoms to the first medical contact, the time from the first medical contact to the acquisition of the first examination data, the time from the acquisition of the first examination data to the diagnosis, the time from the first medical contact to dual antiplatelet treatment, and the length of stay in a hospital for non-percutaneous coronary intervention (PCI), to monitor whether the patient's treatment process meets predetermined standards.

20. A scheduling method based on a remote data center, comprising: receiving test data of a patient acquired by a test device of a first hospital, and performing predetermined processing on the test data to obtain a diagnosis result indicating a disease of the patient; In response to the diagnosis result, determining whether the first hospital has the ability to treat the disease; When it is determined that the first hospital does not have the ability to treat the disease, determining a second hospital within a predetermined range that has the ability to treat the disease as a target hospital; Determine the target transport vehicle based on the location information of the first hospital; as well as Pushing task information to the determined target transport vehicle, wherein the task information includes instructing the target transport vehicle to transport the patient to the determined target hospital, The receiving of the test data of the patient acquired by the test equipment of the first hospital and performing predetermined processing on the test data to obtain a diagnosis result indicating the disease of the patient includes: According to the type of the detection device, using a corresponding artificial intelligence-based analysis technology to analyze the detection data to automatically generate a diagnosis result, the diagnosis result including one or more diagnosis results related to the user's disease, wherein the diagnosis result is associated with the type of the detection device; The scheduling method also includes collecting one or more of the time from the onset of symptoms to the first medical contact, the time from the first medical contact to the acquisition of the first examination data, the time from the acquisition of the first examination data to the diagnosis, the time from the first medical contact to dual antiplatelet treatment, and the length of stay in a hospital for non-percutaneous coronary intervention (PCI), to monitor whether the patient's treatment process meets predetermined standards.

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