CN114386807A

CN114386807A - Public health event emergency system and method

Info

Publication number: CN114386807A
Application number: CN202111652200.1A
Authority: CN
Inventors: 高炜
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2021-12-30
Filing date: 2021-12-30
Publication date: 2022-04-22

Abstract

The embodiment of the application provides a public health incident emergency system and a method, which relate to the technical field of public health, and the technical scheme of the embodiment of the application comprises the following steps: the multi-point triggering monitoring early warning system monitors a plurality of monitoring objects in real time, determines risk levels based on symptom information of the monitoring objects, and sends early warning events to the decision command center system when the risk levels reach preset levels; the decision command center receives and displays the early warning events sent by the multipoint triggering monitoring early warning system, receives confirmation operation of a user on the early warning events, responds to the confirmation operation, acquires a target emergency plan aiming at the early warning events from the emergency plan management system, and triggers the epidemiology investigation system, the emergency resource management system, the medical treatment and treatment system and the laboratory management system to execute the target emergency plan. The emergency public health event can be timely handled.

Description

Public health event emergency system and method

Technical Field

The application relates to the technical field of public health, in particular to a public health event emergency system and a public health event emergency method.

Background

At present, early warning of the emergent public health incident mainly depends on step-by-step reporting of disease infection conditions by each medical institution, then, each grade of health departments manually count the disease infection conditions reported by a plurality of medical institutions, and the emergent public health incident which may exist is found from the counting result. The reporting step by step and the manual statistics efficiency are low, so that sudden public health events cannot be found and responded in time.

Disclosure of Invention

The embodiment of the application aims to provide a public health incident emergency system and a public health incident emergency method, so that sudden public health incidents can be found and processed in time. The specific technical scheme is as follows:

the embodiment of the application provides a public health incident emergency system, includes: the system comprises a multipoint triggering, monitoring and early warning system, a decision command center, an emergency plan management system, an epidemiology investigation system, an emergency resource management system, a medical treatment and treatment system and a laboratory management system;

the multi-point trigger monitoring and early warning system is used for monitoring a plurality of monitoring objects in real time, determining risk levels based on symptom information of the monitoring objects, and sending early warning events to a decision command center system when the risk levels reach preset levels;

the decision command center is used for receiving and displaying the early warning event sent by the multipoint triggering monitoring early warning system, receiving the confirmation operation of the user on the early warning event, responding to the confirmation operation, acquiring a target emergency plan aiming at the early warning event from the emergency plan management system, and triggering the epidemiology investigation system, the emergency resource management system, the medical treatment and treatment system and the laboratory management system to execute the target emergency plan.

In a possible implementation manner, the decision command center is configured to send a query instruction for the early warning event to the emergency plan management system;

and the emergency plan management system is used for receiving the query instruction, responding to the query instruction, querying a target emergency plan matched with the event situation and the event type of the early warning event, and feeding back the target emergency plan to the decision command center.

In a possible implementation manner, the decision command center is specifically configured to send a query command for the target emergency plan to the emergency resource management system;

the emergency resource management system is configured to receive the query command, and in response to the query command, feed back emergency resource information for the target emergency plan to the emergency command center, where the emergency resource information includes any one or more of the following: emergency event personnel, emergency medical institutions, emergency medical supplies;

and the decision command center is also used for receiving and displaying the emergency resource information.

In a possible implementation manner, the decision-making command center is specifically configured to send a flow adjustment command for the warning event to the epidemiology investigation system according to the target emergency plan;

the epidemiology investigation system is used for receiving the flow regulation command, responding to the flow regulation command, creating a flow regulation task aiming at the early warning event, and issuing the flow regulation task; and the flow modulation data feedback device is also used for receiving flow modulation data fed back by flow modulation personnel after the flow modulation task is executed, and feeding back the flow modulation data to the decision command center.

In a possible implementation manner, the epidemiology investigation system is further configured to determine a sampling object based on the flow modulation data, and notify the sampling object to a specified sampling mechanism for sampling;

the laboratory management system is configured to receive and store a sample detection result of each sampling object, and generate sample detection statistical data based on the sample detection result of each sampling object, where the sample detection statistical data includes: the number of detection samples, the number of positives, the cumulative number of detection samples and the cumulative number of positives;

the laboratory management system is also used for sending the sample detection results of the sampling objects and the sample detection statistical data to the epidemiology investigation system and the decision-making command center.

In a possible implementation manner, the decision-making command center is specifically configured to command the medical treatment system to treat a patient according to the target emergency plan;

the medical treatment system is used for managing patient information collected and treated by each medical institution based on the command of the decision command center, and collecting the patient treatment information aiming at the early warning event of each medical institution in real time, wherein the patient treatment information comprises: receiving and treating patient information, transferring out patient information, transferring in patient information and dying patient information; and feeding back the patient treatment information to the decision-making command center.

In one possible implementation, the system further includes: a public opinion monitoring system;

the decision-making command center is also used for sending the early warning event to the public opinion monitoring system;

and the public opinion monitoring system is used for receiving the early warning event and collecting public opinion information aiming at the early warning event in real time.

In one possible implementation, the system further includes: an information distribution system;

the information issuing system is used for issuing the flow regulation data generated by the epidemiology investigation system and the processing progress of the early warning event.

In one possible implementation, the system further includes: an event summary evaluation system;

the event summary evaluation system is used for generating reports aiming at all dimensions of the early warning event.

The embodiment of the application also provides a public health incident emergency method, which comprises the following steps:

monitoring a plurality of monitoring objects in real time, and determining risk levels based on symptom information of the plurality of monitoring objects;

when the risk level reaches a preset level, determining and displaying an early warning event;

receiving confirmation operation of the user on the early warning event;

and responding to the confirmation operation, acquiring a target emergency plan aiming at the early warning event, and executing the target emergency plan.

An embodiment of the present application further provides an electronic device, including:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform any of the method of emergency public health events described above.

Embodiments of the present application also provide a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform any one of the public health event emergency methods described above.

Embodiments of the present application also provide a computer program product containing instructions that, when executed on a computer, cause the computer to perform any of the above-described public health event emergency methods.

By adopting the technical scheme, the symptom information of a plurality of monitored objects can be collected in real time through the multipoint monitoring and early warning system, the early warning information of each medical institution is synthesized, when the risk level of the early warning information reaches the preset level, the early warning event can be sent to the decision-making command center, a user can judge whether the early warning event is a public health event through the decision-making command center, furthermore, when the early warning event is judged to be the public health event, a target emergency plan aiming at the early warning event can be selected from the plan management system, the early warning information of a plurality of medical institutions can be synthesized in real time for early warning, and the target emergency plan can be quickly obtained, so that the public health event can be quickly processed.

Of course, not all advantages described above need to be achieved at the same time in the practice of any one product or method of the present application.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and it is also obvious for a person skilled in the art to obtain other embodiments according to the drawings.

FIG. 1 is a block diagram of a public health event emergency system provided in an embodiment of the present application;

FIG. 2 is a block diagram of another emergency system for public health events provided in an embodiment of the present application;

FIG. 3 is a flow chart of a method for emergency of public health events provided in an embodiment of the present application;

fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments that can be derived by one of ordinary skill in the art from the description herein are intended to be within the scope of the present disclosure.

A public health event emergency system provided by an embodiment of the present application is described in detail below, and as shown in fig. 1, the system includes: the system comprises a multipoint triggering, monitoring and early warning system 102, a decision command center 101, an emergency plan management system 103, an epidemiology investigation system 105, an emergency resource management system 104, a medical treatment and cure system 107 and a laboratory management system 106;

the multipoint triggering monitoring early warning system 102 is configured to monitor a plurality of monitoring objects in real time, determine a risk level based on symptom information of the plurality of monitoring objects, and send an early warning event to the decision-making command center 101 when the risk level reaches a preset level.

The monitored subject may be a person who meets a specified syndrome, for example, the specified syndrome may be an infectious disease.

The multi-point triggering detection early warning system 102 may also monitor each medical institution in the early warning area, and when the proportion of patients with the same symptom received and treated by each medical institution in a preset time period reaches the proportion set by the risk level, the multi-point triggering detection early warning system 102 will send an early warning event to the decision command center 101.

The proportion corresponding to each risk level can be adjusted by a technician, and the embodiment of the application is not particularly limited.

For example, when the proportion of the number of the febrile patients received by each medical institution on the same day accounts for 10% of the total number of the febrile patients received by each medical institution on the same day, the multi-trigger monitoring and early warning system 102 will send a warning event that a new coronary epidemic situation is likely to occur to the decision command center 101.

The decision-making command center 101 is configured to receive and display an early warning event sent by the multipoint triggering monitoring early warning system 102, receive a confirmation operation of a user on the early warning event, obtain a target emergency plan for the early warning event from the emergency plan management system 103 in response to the confirmation operation, and trigger the epidemiology investigation system 105, the emergency resource management system 104, the medical treatment system 107, and the laboratory management system 106 to execute the target emergency plan.

When the decision-making command center 101 receives the early warning event, the medical expert may judge whether the early warning event is an emergency public health event, and if it is determined that the early warning event is the emergency public health event, the decision-making command center 101 may obtain a target emergency plan from the emergency plan management system 103, and call other systems to handle the early warning event according to the target emergency plan.

The public health incident emergency system provided by the embodiment of the application can collect the symptom information of the monitored objects of a plurality of medical institutions in real time through the multipoint monitoring and early warning system 102, synthesize the early warning information of each medical institution, when the risk level of the early warning information reaches the preset level, the early warning event can be sent to the decision command center 101, a user can judge whether the early warning event is an emergent public health incident through the decision command center 101, further, when the early warning event is judged to be the emergent public health incident, a target emergency plan for the early warning event can be selected from the plan management system 103, the early warning information of a plurality of medical institutions which are synthesized in real time is timely early warned, the target emergency plan can be quickly obtained, other systems are called according to the target emergency plan, and the public health incident can be quickly processed.

In another embodiment of the present application, the decision command center 101 is configured to send a query instruction for an early warning event to the emergency plan management system 103;

the emergency plan management system 103 is configured to receive the query instruction, query, in response to the query instruction, a target emergency plan matched with the event situation and the event type of the early warning event, and feed back the target emergency plan to the decision command center 101.

The emergency plan management system 103 stores various types of emergency plans for different types of early warning events and event situations, where the types of emergency plans include but are not limited to: by integrating the emergency plans, the special emergency plans and the like, the user can modify, add or delete the plans in the emergency plan management system 103 according to actual needs.

The event situation may refer to national emergency public health event classification rules.

By adopting the embodiment of the application, the target emergency plan can be quickly found and the early warning event can be quickly processed under the condition that the early warning event is an emergent public health event by pre-storing various types of emergency plans aiming at the early warning event.

In another embodiment of the present application, the decision command center 101 is specifically configured to issue a query command for a target emergency plan to the emergency resource management system 104.

The emergency resource management system 104 is configured to receive the query command, and in response to the query command, feed back emergency resource information for the target emergency plan to the emergency command center 101, where the emergency resource information includes any one or more of the following: emergency event personnel, emergency medical institutions, emergency medical supplies;

the emergency event personnel are personnel for processing the emergent public events in the target emergency plan and can be medical experts, emergency disposal personnel and the like corresponding to the emergent public health events; the medical institution is a hospital and other medical institutions capable of handling emergent public health events; the emergency medical supplies are the quantity and the places of medical supplies required for processing emergent public health events, such as masks, disinfection drugs, treatment drugs and the like.

The decision-making command center 101 is further configured to receive and display emergency resource information.

The decision-making command center 101 can display the emergency resource information to the commander handling the emergency public health event, so that the commander can quickly find out the information of the personnel, medical institutions and medical supplies handling the emergency public health event.

By adopting the embodiment of the application, various resources required for processing the emergent public health event in the target emergency plan are stored in advance in the emergency resource management system 104, and the emergency resource management system 104 can show the information of the resources to emergency processing personnel, so that an emergency processing team can be established quickly, and the emergent public health event can be processed quickly.

In another embodiment of the present application, the decision-making command center 101 is specifically configured to issue a flow adjustment command for an early warning event to the epidemiology investigation system 105 according to a target emergency plan;

the epidemiology investigation system 105 is used for receiving the flow regulation command, responding to the flow regulation command, creating a flow regulation task aiming at the early warning event, and issuing the flow regulation task; and the system is also used for receiving the flow modulation data fed back by the flow modulation personnel after executing the flow modulation task and feeding back the flow modulation data to the decision-making command center 101.

The epidemiology survey system 105 may display the epidemiology survey task to the investigator or the surveying institution, so that the investigator or the surveying institution can perform epidemiology survey on the early warning event according to the epidemiology survey task.

The flow regulation data is obtained after the flow regulation mechanism carries out epidemiological investigation on the early warning event, and the flow regulation data includes but is not limited to: the number of dispatchers, the travel information of infected personnel, the travel information of joint sealing personnel and the like.

By adopting the embodiment of the application, the epidemiology investigation system 105 can issue the epidemiology investigation task to the epidemiology operators or the epidemiology organization, so that the related personnel can perform the epidemiology investigation according to the epidemiology plan in the target emergency plan, thereby obtaining the epidemiology data, and feeding the epidemiology data back to the decision-making command center 101, so that the commander can accurately grasp the development situation of the current early warning event.

In another embodiment of the present application, the epidemiology survey system 105 is further configured to determine a sampling object based on the flow modulation data, and notify the sampling object to a designated sampling mechanism for sampling;

in the embodiment of the present application, the epidemiology survey system 105 may determine a sampling object that needs to be sampled and detected according to the close contact person information in the flow modulation data, and the sampling person may directly sample the sampling object, or may notify the sampling object to go to a designated sampling mechanism for sampling and detecting.

By adopting the embodiment of the application, the epidemiology survey system 105 can determine the sampling object according to the flow regulation data, namely, determine the possibly infected person, and inform the sampling object to perform sampling detection, thereby effectively avoiding the spreading risk of epidemic diseases.

The laboratory management system 106 is configured to receive and store a sample detection result of each sampling object, and generate sample detection statistical data based on the sample detection result of each sampling object, where the sample detection statistical data includes: number of test samples, number of positives, cumulative number of test samples, and cumulative number of positives.

In the embodiment of the present application, the laboratory management system 106 may generate sample detection statistical data, for example, count the number of detection samples, the number of positives, and the like in a specified time period, and may present the sample detection statistical data to the user in a graph form.

The laboratory management system 106 is further configured to send the sample detection result and the sample detection statistical data of each sampling object to the epidemiology investigation system 105 and the decision-making command center 101.

In this embodiment, the laboratory management system 106 may further provide a function of querying a detection result for the user, and the user may query the detection result according to the identity information of the sampling object.

By adopting the embodiment of the application, the laboratory management system 106 can count and display the sample detection data and provide the user with the detection result query, so that the emergency treatment personnel can know the information of the infected person in time, and the infected person can be conveniently treated.

In another embodiment of the present application, the decision-making command center 101 is specifically configured to command the medical treatment system 107 to treat a patient according to a target emergency plan;

the medical treatment system 107 may record patient information in the event of an emergency public health event. The medical treatment system 107 is configured to manage patient information collected by each medical institution based on the command of the decision command center 101, and collect patient treatment information for the early warning event in each medical institution in real time, where the patient treatment information includes: receiving and treating patient information, transferring out patient information, transferring in patient information and dying patient information; the patient treatment information is fed back to the decision command center 101.

By adopting the embodiment of the application, the medical treatment system 107 can collect the treatment information of the patients related to the emergent public health events in real time, so that emergency treatment personnel can know the current number of the patients and the distribution condition of the patients in real time, and further, the medical institutions such as hospitals and the like can be coordinated, and the treatment process can be further optimized.

In another embodiment of the present application, the public health event emergency system further comprises: a public opinion monitoring system;

the decision-making command center 101 is also used for sending an early warning event to the public opinion monitoring system;

and the public opinion monitoring system is used for receiving the early warning event and collecting the public opinion information aiming at the early warning event in real time.

Public opinion information includes, but is not limited to: the public sentiment monitoring system can collect the public sentiment information of relevant early warning events in real time and can send out public sentiment warning through the decision command center 101 in time, so that related personnel can process the public sentiment in time and the public sentiment events are avoided being formed.

By adopting the embodiment of the application, the public sentiment monitoring system collects the public sentiment information of the relevant early warning events in real time, so that technical personnel can find the public sentiment events in time, and then can send out an alarm to avoid the further deterioration of the public sentiment events.

In another embodiment of the present application, the public health event emergency system further comprises: an information distribution system;

and the information issuing system is used for issuing the flow regulation data generated by the epidemiology investigation system 105 and the processing progress of the early warning event.

The public can know the processing progress of the emergent public health events in real time from the information distribution system.

By adopting the embodiment of the application, the information issuing system can timely publish the processing progress of the emergent public health event to the public, and can avoid causing public panic.

In another embodiment of the present application, the public health event emergency system further comprises: an event summary evaluation system;

and the event summary evaluation system is used for generating reports aiming at all dimensions of the early warning event.

Reports for each dimension include, but are not limited to: the system comprises a flow adjustment summary report, an event summary report, a risk assessment report and the like, wherein the event summary assessment system stores and archives all dimension reports, a user can inquire all dimension reports from the system, and adjust emergency plans in the emergency plan management system according to all dimension reports.

By adopting the embodiment of the application, the event summary evaluation system can generate reports of all dimensions, and further, emergency treatment personnel can synthesize the reports of all dimensions to further optimize the emergency plan.

The public health event emergency system provided by the present application is described below with reference to specific embodiments, as shown in fig. 2, the public health event emergency system includes: a public health emergency management platform, an application support platform and a fifth Generation Mobile Communication Technology (5G) cloud network.

Wherein, emergent management platform of public health includes: the system comprises a decision-making command center, a multi-point triggering monitoring early warning system, an emergency plan management system, an emergency resource management system, an epidemiology investigation system, a laboratory management system, a medical treatment system, a public opinion monitoring system, an information release system and an event summary evaluation system.

The application support platform provides general services for various applications, including partial data services and technical support services, and is particularly used for providing application support for the public health emergency management platform. The application support platform may include: the System comprises a Geographic Information comprehensive management System, a data center library management System, an online video monitoring docking management System, a mobile network docking service, a data encryption component, a unified authentication service, a task scheduling service, a Geographic Information System (GIS) map service, an audio and video service and an Artificial Intelligence (AI) service.

The 5G cloud network is used for providing cloud service support for the public health emergency management platform, and the 5G cloud network may include: cloud security, cloud hosts, cloud storage, cloud desktops, cloud disaster recovery, what is known as Edge Computing (MEC), 4G and 5G customized networks, narrowband Internet of Things (NB-loT) communication technology, FIRST (FIRST) private medical network, the Internet and satellite network.

In the public health emergency management platform, the multipoint triggering, monitoring and early warning system can comprise a sentry point monitoring module, an emergency reporting module, an intelligent disease early warning module and an intelligent risk early warning module.

The multipoint triggering monitoring early warning system can be used for automatically sending out an early warning signal according to syndrome monitoring and disease risk prediction by depending on the multipoint triggering monitoring early warning system, so that the early prevention and event reporting of public health events are realized. The reporting of the event comprises the following steps: "first reporting", "process reporting", and "protocol settlement reporting". The main contents of the information report comprise: event name, event category, place of occurrence, time, geographical area involved, number of people, chief complaints and signs, possible causes, measures that have been taken, trends in the event, work plans to go next, etc.

The sentry point monitoring module is used for managing, maintaining and managing the sentry point basic information of all levels of mechanisms in the whole monitoring and early warning area.

The emergency reporting module is used for reporting the public health events in the sentry point in a mode that workers fill in an event reporting card, and the detailed event information such as the content, time, information category and address related to the events needs to be filled in, and is reported to a superior institution to be screened and confirmed by a manager. After reporting, the details of the preliminary report of the event can be checked through a sentinel event module.

The intelligent disease early warning module is used for monitoring the monitored symptoms in space and time dimensions, judging the risk level of a monitored object based on the intelligent early warning model according to the baseline of the intelligent early warning model, carrying out early warning prompt on the monitoring dimension reaching high risk, and providing an intelligent disease matching analysis function according to the symptom outbreak condition. Once epidemic situation and disease condition are discovered, real-time monitoring is carried out on the activity of an individual infected with the disease, timely epidemiological investigation and sampling analysis can be carried out, the disease condition is prevented from spreading, and on the premise of comprehensive analysis and scientific judgment, an early warning signal is sent out to remind relevant departments and society to carry out relevant coping and preparation work, so that the disease is prevented in the bud.

The intelligent risk early warning module is used for realizing visual supervision of syndrome crowds based on the big data service of the national health information platform and the electronic medical record data of the national health information platform by taking the syndrome and the symptom data of the syndrome crowd library as standards, and can visually look up the integration of the data of the archive library and the increment condition of the case data. The tracking analysis is carried out on the cases which are included in the symptom crowd, and the cases which are not improved or aggravated are listed as a list to be confirmed, so that the staff is reminded to intervene in the investigation.

In addition, the multipoint triggering, monitoring and early warning system also comprises an event progress case management module which is used for recording data into a sentry point monitoring module for infectious disease case monitoring mainly by means of various medical institutions and sentry point workers, namely monitoring people meeting the syndrome characteristics according to specific infectious disease symptoms. For suspected infectious disease patients, automatically bringing into an infectious disease early warning module, and further confirming by a medical institution and a disease prevention control center;

the multipoint triggering, monitoring and early warning system also comprises a process event management module which is used for developing and changing sudden public health events, handling processes, diagnosing and causing the events or possible factors, evaluating potential states, controlling measures and the like. Meanwhile, the information report card related to the emergent public health incident which is reported for the first time is supplemented and corrected. Major and particularly major public health incidents are reported on a schedule by at least day-to-day basis.

The multipoint triggering monitoring early warning system also comprises an end case management module which is used for carrying out end case information report management after the event is finished. After the emergency public health event reaching the classification standard of 'national emergency plan for public health event' is finished, the corresponding grade health administration department organizes and evaluates the emergency public health event, summarizes the occurrence and processing conditions of the event within 2 weeks after the event is confirmed to be finished, analyzes the reasons and the influence factors, and provides the prevention and treatment suggestions of similar events in the future. All the events which have already been filed are saved in a filed event list and managed.

The multipoint triggering, monitoring and early warning system further comprises a syndrome management module which is used for providing syndrome crowd classified management, daily maintenance, starting and stopping of the syndrome classification so as to realize dynamic management of the syndrome crowd and dynamic monitoring of infectious disease monitoring. Including fever with respiratory syndrome, fever with diagnosis syndrome, fever with hemorrhage syndrome, diarrhea syndrome, encephalitis meningitis syndrome, etc. And updating the data of the sudden infection symptoms in real time according to the result of the dynamic monitoring of the infectious diseases.

The emergency plan management system comprises: the system comprises an emergency plan checking module, an emergency plan updating module, an emergency plan library management module and a visual plan module.

The emergency plan management is according to the situation of the event: the method comprises the steps of I-level response (particularly important), II-level response (important), III-level response (larger), IV-level response (general), and the type of an event, wherein a plan is prepared, and when the event occurs, the corresponding plan can be flexibly called to play an important role in scheduling and handling of the event. The emergency plan management comprises the following steps: plan retrieval, plan management, plan type.

The emergency plan checking module is used for searching the required plan by the user, and only the name of the plan is searched accurately or fuzzily at present.

The emergency plan updating module is used for modifying, deleting and inquiring the existing plan, and can also be used for adding a new plan, and the plan can be edited in a modularized manner according to different plan types when the new plan is added.

The emergency plan management module is used for classifying the plans according to the emergency public emergency events, dividing the plans into multiple plan types such as comprehensive emergency plans and special emergency plans, and maintaining the plan types.

The emergency resource management system comprises an emergency material management module, an emergency drilling management module, an emergency expert management module and an emergency team management module.

Various resources required in the process of emergent public health events are managed so as to better support decision making and respond in time. The emergency resource management system provides a comprehensive query function and an analysis function for resources for a user, and provides assistance and support for command and decision of the user.

The emergency resource management mainly realizes the management and maintenance of the storage and calling conditions of emergency guarantee resources. The method mainly comprises the following steps: emergency materials, emergency institutions, emergency teams, emergency personnel, emergency experts, emergency plans, emergency drilling management, regulation standards and the like.

The emergency material management module is used for checking data through cities, districts and specific mechanisms (taking the administrative districts as the reference), checking all states of materials in all regions, and maintaining material data in a material library.

And the emergency drilling management module is used for performing operations such as drilling plan making, drilling process information recording, drilling summary evaluation, drilling information reporting and the like. The comprehensive prevention capability of dealing with sudden public health accidents can be further improved.

And the emergency expert management module is used for maintaining an expert and an expert consultation committee database in the system, and a user can search the expert database, dispatch an expert task and establish a health emergency team through the emergency expert management module. The experts are classified according to different research fields of the experts, and management and browsing of users are facilitated. The user can manage the expert classifications as desired.

And the emergency team management module is used for managing the health emergency team database, managing the emergency personnel database according to the user requirements, for example, building a health emergency team and emergency team equipment, and providing personnel retrieval service for the user. According to the different emergency event handling ranges of emergency teams, the emergency teams are classified, for example: the major infectious disease epidemic situation health emergency team, the group unknown cause disease health emergency team, the major poisoning incident health emergency team and the like, and the user can add, delete or modify the team classification according to the needs.

In addition, the emergency resource management system also comprises an emergency material library, which is used for performing maintenance operations such as adding, deleting, changing and checking on material information and the like, and meanwhile, the materials in the material library can be maintained in detail in the established emergency material library.

The emergency resource management system also comprises a regulation standard library which is used for realizing the management of the basic information of the laws and regulations related to the health emergency, adding, deleting and modifying the basic information of the laws and regulations and providing retrieval service according to the requirements of users. The legal and legal rule library attribute fields are consistent with the system of the department level, and simultaneously, the user can add corresponding attribute fields according to the requirement, and the main information items comprise: the law and regulation names, the law and regulation categories, the issuing units, the issuing time, the issuing numbers, the effective dates, the failure dates, the law and regulation contents, remarks and the like are convenient for other organizations at all levels to train, study and check.

The emergency resource management system further comprises an emergency personnel management module, which is used for storing information of personnel of an emergency team, and comprises: name, phone, work unit, etc.

The epidemiology investigation system comprises a case investigation module, a joint investigation module, a prevention and control investigation module and a flow regulation report module.

The epidemiology investigation system consists of an epidemiology investigation mobile terminal and an epidemiology investigation system. The full-service coverage of a disease control mechanism from event receiving and reporting, task planning, task issuing, individual case flow adjustment, joint inspection, prevention and control inspection, report generation, report reporting and the like is realized.

The individual case investigation module is used for epidemiological investigation and research and collects data related to investigation and research contents, wherein a tool for collecting the data is mainly an epidemiological individual case questionnaire (abbreviated as an epidemiological questionnaire). The epidemiological investigation system automatically specifies the flow regulation report template according to different disease types to complete the registration of the flow regulation information of individual cases.

And the close contact investigation module is used for providing a close contact person information registration function for investigators, mainly recording the basic information, the travel information and the like of the close contact person, and providing decision guidance for subsequent dispatching work.

And the flow modulation report module is used for automatically generating flow modulation reports at different stages based on flow modulation data and providing decision support for epidemic situation prevention and control. The flow regulation report can be divided into a primary report, a progress report and an end plan report.

And the prevention and control investigation module is used for providing a novel coronavirus prevention and control investigation function for the basic medical health institution. The basic condition of the mobile personnel in the district, the activity record in the district, the contact personnel record and the like are reported quickly by the basic level health professional staff.

The epidemiology investigation system also comprises a task receiving module, which is used for receiving the dispatching task issued by the emergency platform command center, receiving the dispatching task through the task, automatically creating the task, and the dispatching task with case information, wherein the dispatching personnel do not need to repeatedly fill the case basic information; and simultaneously, task elimination can be carried out, and the flow regulation state is ended. When the task receiving module receives the flow scheduling task, the user can be reminded of receiving a new flow scheduling task in the to-do matters displayed on the web end on line, and short message notification reminding can be triggered.

The epidemiology investigation system also comprises a task newly-built module which is used for providing an emergency time registration function when an emergency public health event occurs, mainly recording the occurrence time, the occurrence place and the situation description of the event and providing basic decision guidance for the subsequent flow regulation work.

The epidemiology investigation system also comprises a plan management module which is used for the investigation mechanism to make a preliminary investigation plan according to the epidemiology investigation system flow regulation task. The survey plan comprises a surveyor plan and a survey time plan, and the plan is used as a reminding and effect assessment basis for subsequent work and provides work reminding for the flow adjustment personnel.

The epidemiology investigation system also comprises an issuing management module which is used for issuing an event task, and the investigation mechanism issues the epidemiology task needing to be completed by a subordinate mechanism according to the event task of the epidemiology investigation system, namely appointing a related mechanism to complete the epidemiology investigation and simultaneously supports the superior mechanism to supervise the epidemiology condition of the issuing mechanism.

The epidemiology investigation system also comprises a report reporting module, which is used for reporting the flow regulation reports of different stages for the issued events, and the superior organization can check and supervise the reported flow regulation reports.

The epidemiological survey mobile terminal can provide a flow regulation function for the flow regulation mechanism. The flow regulating mechanism can check the event information of the event which is planned by the mechanism through the epidemiological investigation mobile terminal.

And the individual case investigation module is also used for carrying out individual case addition and flow adjustment registration on the event of which the flow adjustment mechanism finishes planning through the individual case flow adjustment module, and the finished flow adjustment registration information is automatically uploaded to the flow adjustment pc end.

And the close contact checking module is also used for registering the information of the close contact person and uploading the close contact registration information to the end of the flow regulator pc.

The epidemiological investigation system also comprises a flow chart counting module which is used for counting the final condition of the flow chart in the district according to the data recorded in the investigation and the administrative division. The main statistical dimensions include total event number of the dispatches, total number of people of the dispatches, statistics of control conditions and the like.

The epidemiological investigation system also comprises a investigation statistic module for counting the final investigation condition in the region according to the administrative division by investigating the input data. The main statistical dimensions include the total number of the checked people, statistics can be carried out according to the checked state classification, and people can be gathered according to different sources.

The epidemiology investigation system also comprises a detection registration module which is used for carrying out real-name check on the object to be sampled and simultaneously completing the process of carrying out association binding on the test tube and the object to be sampled.

The information of the detected person can be manually input by a sampling person, and then the sample classification, the sampling mode and the sampling item of the detected person can be selected.

The epidemiology investigation system further comprises a sample boxing module, wherein the sample boxing module is used for associating sample test tubes after sampling with the transfer box by field workers of a sampling mechanism after sampling is completed on site, the boxing workers firstly need to scan numbers for filling the sample transfer box, then select sampling tubes to be transferred, and click to determine to complete sample boxing.

The epidemiology investigation system further comprises a sample submission module, wherein the sample submission module is used for binding the sample transfer box and the vehicle at a mobile phone end after the sampling staff finishes the operation of transferring the sample into the box, and the transfer box bound after the sample submission module can be sent to an experimental mechanism by the truck to wait for the receiving of the experimental mechanism.

The epidemiology investigation system also comprises a sample receiving module, laboratory personnel click the sample to receive, and the two-dimensional code on the scanning transfer box can finish warehousing and receiving the submitted sample.

The epidemiology investigation system also comprises a data statistics module which is used for providing the inquiry function of the sample submission condition through the data statistics function. The sample inspection condition can be inquired in a combined manner through time, a detection test tube and an identification card number. In the data statistics page, sampling staff can set query time or input a detection test tube and an identification number by themselves to check sampling samples.

The medical treatment system includes: the system comprises a roll-out management module, a roll-in management module, a treatment management module and a death management module;

the medical treatment system is based on a medical treatment mechanism, a set of complete public health medical treatment management platform is constructed, and the medical treatment system can realize the report of treatment data and the report of emergency treatment materials; meanwhile, the patient can be subjected to receiving, receiving and treating and referral work by depending on the electronic medical record database and the health archive database.

The treatment management module is used for carrying out patient information management on the patient receiving and treating, making a diagnosis for the patient, making a prescription, managing the prescription, supporting the order, diagnosing subjective data, consulting a log and the like, recording the condition of the patient in detail and ensuring subsequent treatment.

And the transfer-out management module is used for judging whether the received hospital can not diagnose the patient, initiating a transfer-out process if the received hospital meets the transfer-out condition, setting a hierarchical diagnosis and treatment office according to the received hospital, applying whether the patient meets the transfer-out condition by the department, distributing the patient to the corresponding department if the patient meets the transfer-out condition, and checking and confirming by the master of the corresponding department. Meanwhile, the referral situation can be inquired and counted according to the authority.

The transfer-in management module comprises: the functions of referral information reminding, transfer information confirmation, patient reporting, transfer information recording and the like. The patient accords with the rotation condition in the patient with stable state of illness or needing rehabilitation treatment in the hospital, and initiates a rotation process. The transfer is initiated by the qualified hospital clinicians, the examination is carried out by the department chief and the classification diagnosis office, the transferred hospital is examined by the classification diagnosis office and the department chief, the patient can report the examination to the transferred hospital by holding a paper transfer sheet after the examination is confirmed by the corresponding department clinician.

The death management module is used for managing the death medical record, closed-loop flow management is carried out on death cases by an informatization means, compared with a paper document, information extraction is more convenient, and the comprehensive management level of a hospital is improved. The system can be also butted with a public security system, and a death medical record can be directly pushed to the public security system through a death management module, so that family members can conveniently log out the family mouths, and an electronic version of death medical certification can be provided in time.

The laboratory management system comprises a sample information management module, a submission management module, a detection result management module and a report statistics module.

The sample detection laboratory adopts an Application program (APP) end to carry out information acquisition, sample boxing, sample submission, sample receiving and other processes, and a Personal Computer (PC) end to carry out submission and auditing operation of detection information.

The information acquisition management module is used for displaying the work billboard contents of the current sampling work at the top of a home page of a World Wide Web (Web) end, wherein the work billboard contents comprise the number of people detecting nucleic acids at this day, the number of test tubes which have been sent for detection, the number of people needing to be matched and the number of people detecting nucleic acids accumulated in this month;

the middle lower part of the home page of the sampling web end is displayed as a sampling object list, and sampling workers can perform combined query on sampling objects through sampling test tube numbers, transfer box numbers, acquisition time, names, identification card numbers, sampling mechanisms and detection results;

a user can configure boxing information at a laboratory webpage end, and add, modify, inquire and delete the number of the transport boxes.

Censorship management module, the transport box is sent to the in-process in laboratory by sampling mechanism and need carry out the loading operation to the transport box, submits vehicle information at the APP end after, can carry out transport box associated information inquiry and recipient, receiving laboratory inquiry at the web end.

The sample information management module mainly provides the following functions:

the method comprises the steps of detecting and inputting functions, wherein a sample list after APP end samples are received can be displayed to workers of an experimental mechanism on a sample information management module interface, and the list comprises related information such as a sampling sample test tube number, a transfer box number, a submission date, a sampling place, a sample type, a detection item, a detection result, a report state and the like;

the sample list supports the functions of exporting and inquiring, and the conditions such as transfer box number, sampling date, inspection date, sampling mechanism, name of sampling object, certificate number, contact mode, detection result and the like are combined or inquired in a single way; the detailed information of the sample can be checked by clicking the list; and when the detection result is input, the batch setting of the detection result is supported. After the detection result is clicked and set, secondary verification is needed, the verification is carried out, the confirmation button is clicked without error, and then the input of the detection result can be finished formally.

And (4) a detection result auditing function: the detection result interface can display a Web end sample detection result list to the rechecking staff of the experimental institution, wherein the list comprises a transfer box number, a sampling tube number, a sampling date, a submission date, a user name, a certificate number, a contact mode and a detection result; the sample structure list supports the functions of exporting and inquiring, and the conditions such as a transport case number, a sampling tube number, a sampling date, a check date, a user name, a certificate number, a contact way, a detection result and the like are combined or a single item of inquiry is carried out, and whether the sample setting is passed or reset is carried out; the detailed information of the sample can be checked by clicking the list; and the batch setting of the auditing states is supported during the rechecking of the detection result. The input result is correct, and a pass button is clicked; and if the input result is wrong, clicking to return, and rechecking the detection result.

The report statistics module can realize the following functions:

after logging in a supervision web terminal, a supervision mechanism in the jurisdiction can enter a comprehensive billboard interface of the supervision mechanism, and the interface can display relevant data of a nucleic acid detection sample acquisition mechanism and an experimental mechanism detection mechanism in the supervision jurisdiction in an all-dimensional manner.

And displaying the current real-time data: the number of people detected today, the number of samples collected today, the number of samples transported today, the number of reports reported today, and the number of positive people today.

And displaying accumulated detection data: the number of detected persons is accumulated, the number of collected samples is accumulated, the number of transported samples is accumulated, the number of reports is accumulated, and the number of positive persons is accumulated.

Displaying a data accumulation statistical result in the district: and displaying the sampled and detected data of each area in the district in a form of a chart.

The report management function is as follows: and displaying a report through data reported by the core acid detection sampling mechanism and the experiment mechanism detection mechanism in the district, wherein the report mainly comprises a comprehensive management report interface, a collection progress report interface, a result progress report interface and an individual case query page.

The comprehensive management function is as follows: the supervision mechanism carries out comprehensive supervision on the reported data of the nucleic acid detection sampling mechanism and the detection mechanism of the experiment mechanism through a comprehensive management interface, and the list supports the functions of exporting, printing and inquiring. The contents comprise city states, regions, sampling mechanisms, samplers, testing mechanisms, the number of collected persons, the number of sampled persons, the number of delivered results, the number of to-be-delivered results and the number of detected persons.

The acquisition progress function: the supervision mechanism checks and supervises the reported data of the nucleic acid detection sampling mechanism through the acquisition progress interface, and the list supports the functions of exporting, printing and inquiring. The contents include city state, region, sampling mechanism, number of persons sampled, number of samples sampled, number of delivered inspection, number of persons to be delivered inspection, number of persons detected.

The result progress function: the supervision mechanism checks and supervises the reported data of the detection mechanism of the experimental mechanism through a result progress interface, and the list supports the functions of exporting, printing and inquiring. The contents include city state, region, experimental organization, sampler, number of reported people, number of report waiting to be reported, and number of detected people.

Individual case inquiry function: the case inquiry page can be used for checking the detection samples in detail. The supervision organization checks the data in detail through the conditions of the transfer box number, the sampling test tube number, the vehicle to be checked, the sampling date, the report date, the name of the detected object, the certificate number, the contact way, the detection result and the like. Export and printing functions are supported.

The mobile terminal is mainly used for filling and managing a series of processes of laboratory sample collection, boxing, submission, receiving and the like. The safety and reliability of the sample in the transportation process are ensured.

The laboratory management system further comprises a mobile terminal detection and registration module, real-name check is carried out on the object to be sampled by field workers of the sampling mechanism, the process that the test tube is associated and bound with the object to be sampled is completed simultaneously, and the field workers of the sampling mechanism open a mobile terminal APP to enter a home page and enter a detection and registration page.

The laboratory management system also comprises a mobile terminal information acquisition module, wherein the mobile terminal information acquisition module is used for selecting specimen classification, and the specimen shares four classifications of personnel, materials, host animals and the like; secondly, selecting a sampling mode to be divided into individual sampling (single individual sampling), 1+ N sampling (sampling different parts of one sampling individual or materials, clothes and close contact persons of the personnel), and N +1 sampling (mixed sampling of different sampling individuals); the sampling item is then selected (currently only supporting nucleic acid detection). Clicking the right scanning icon to scan the test tube bar code or manually inputting the test tube bar code number; and after the scanning is finished, selecting a sampling mode, wherein the default mode is an upper respiratory tract specimen. When the detected person information is collected, the health trip code can be scanned or collected by manual input. And after all information is acquired, clicking a button to finish detection and registration. If the personnel do not add the information, the temporary storage can be clicked, the system can automatically store the adding information, and the adding is convenient for the personnel to continue adding.

Laboratory management system still includes removal end sample vanning module for the sampling object is after the on-the-spot completion sampling, and the sample test tube after the sampling of sampling mechanism site work personnel will be sampled carries out the process that is correlated with the transfer box:

the sample collection staff need carry out sample vanning work after accomplishing the batch collection of sample, need click sample vanning this moment and get into sample vanning function after. And clicking the upper right corner scanning icon of the sample packing page, and automatically identifying the serial number of the transfer box by the system after scanning the two-dimensional code or the bar code of the transfer box. Can demonstrate the sample test tube list of treating the vanning automatically at the transfer vanning page (here can the automatic display detect the test tube of waiting to the vanning after the registration, can select more), click after the test tube of needs vanning can bind test tube and transfer case, accomplish the transfer vanning operation.

Laboratory management system still examines the module including removing the end sample censorship for after the sampling staff has accomplished the transportation vanning operation, carry out binding of sample transport case and vehicle at the cell-phone end, the transport case after binding after submitting can be sent to the experimental institution with the loading, waits for the experimental institution to receive.

On-site workers of the sampling mechanism open the APP at the mobile terminal to enter a home page and enter a sample submission page. And filling in the number of the censorship license plate. Clicking a code scanning icon on the right side, scanning a two-dimensional code or a bar code of a transfer box to be submitted and inspected, associating the transfer box to be submitted and inspected with a vehicle (the two-dimensional code or the bar code can be added for multiple times), and clicking to confirm completion of sample submission operation after successful addition.

The sampling personnel can query the sample submission condition through a data statistics function. And performing combined query through time, a detection test tube and an identity card number. The sampling staff gets into the data statistics page at APP home page, and the sampling staff can set up the inquiry time by oneself or input and detect test tube, the view of identification card number sample.

The laboratory management system further comprises a mobile terminal sample receiving module, the laboratory organization staff can complete login operation after needing to input account numbers, passwords and verification codes which are configured in advance, and the user can enter an APP home page after login is completed. The experiment mechanism staff jumps immediately after clicking the sample to receive and sweeps a code function, and the experiment mechanism staff finishes the sample receiving work by scanning the two-dimensional code or the bar code of the transfer box at the moment.

Public opinion monitoring system includes: the public opinion analyzing system comprises a public opinion detecting module, a public opinion counting module, a public opinion classification reporting module and a special public opinion analyzing module;

the public opinion detection module can find public opinions in time in the face of sudden public health events, kill the seedling of a crisis at the germination stage, and directly influence success or failure of public opinion management work. By utilizing big data public sentiment monitoring and analysis, sensitive words or related news, articles, comments and the like can be monitored in real time, public sentiments can be found at the first time and automatically identified, once crisis is in the first place, an alarm can be given to a user in time in a mode of WeChat, short message, mail and client, the prompt delay can be within 30 seconds at the fastest time, and a first chance is created for the public sentiment crisis.

The public opinion statistic module is used for comprehensively and comprehensively analyzing the whole network public opinions, analyzing hot topics, propagation websites, propagation media, key propagation nodes and the like at each stage in the evolution process of the public opinion events, counting charts, classifying and integrating, automatically generating daily and weekly reports, facilitating the user to master the venation of public opinion development and making effective prediction.

And the public opinion classification report module is used for classifying and sorting the collected data and accessing the public opinion analysis model for automatic judgment. And producing related reports according to different dimensions of the public sentiment analysis of the emergency.

The special public opinion analysis module can be used for creating special analysis, the system carries out cluster analysis on special events according to preset keywords and other information, monitoring and analysis progress of creating the special can be automatically refreshed, major and sensitive topics are concerned and accumulated for a long time, public opinion analysis indexes are refined, long-term and deep analysis reports are formed based on technologies such as semantic analysis, rules and development trends of specific topic events are analyzed, and further development situations of the events are judged in advance.

The public opinion monitoring system also comprises an information acquisition module, and multiple public opinion distribution areas usually only concentrate on certain websites with larger active quantity, or only need to meet the related annotation requirements of a certain field, and do not need to acquire the public opinions of the whole network. The system can utilize the directional collection function of the keywords/websites of the public opinion collection system to freely combine and flexibly set the keywords with labels in industries, fields and the like, or lists websites needing important collection one by one, and can help to accurately collect the public opinions without the interference of repeated similar information, thereby managing and disposing the public opinions in a targeted manner.

The public opinion monitoring system further comprises a whole-network whole-media acquisition module, the internet generates a large amount of public opinion information which is used as a public opinion management worker, and the public opinion management worker cannot accurately judge which channels are serious disaster areas with frequent public opinions. Therefore, in order to improve the comprehensiveness of public opinion collecting work, network public opinion information needs to be collected in a whole network and in a whole media mode. By means of a whole-network whole-media acquisition module of the public opinion acquisition system, the user can check the whole-network news, the microblogs, the self-media articles and the like which are concerned at any time only by setting a simple subscription theme.

In order to collect the first hand public sentiment in real time, a public sentiment collecting information system can be used for collecting the network public sentiment information in real time for 7 x 24 hours.

The public opinion monitoring system further comprises a report management module, wherein the report management module is used for analyzing important data by combining all dimension depth data of events and respectively generating a conventional report, a thematic report and a comprehensive report according to different templates.

The information distribution system includes: the event real-time broadcasting module and the event dynamic display module.

The system mainly comprises functional modules of epidemic situation self-checking, event tracking, online inquiry and health information. The epidemic situation self-checking module can carry out self preliminary diagnosis and data collection through automatically filling the epidemic situation self-checking card, the event tracking can track the current public health events related to the location, and the inquiry is that: event progress, confirmed case travel and medical treatment information.

The event real-time broadcasting module is used for adding a current event or defining an event; and (4) performing addition, deletion, modification and check on the event process, namely selecting an event to add. By default there is only one process per event. And stream tuning track addition can be carried out on the defined events according to the searched actual situation, and a plurality of events can be added.

And the event dynamic display module is used for establishing a novel real-time dynamic update page of the coronavirus pneumonia epidemic situation. Includes two parts of epidemic situation map and real-time broadcast. On the page of the epidemic situation map, the summary situation and the regional distribution of confirmed cases, suspected cases and cured cases in all regions of China are presented in real time. On the 'real-time broadcasting' page, the whole point is updated and the latest report progress everywhere and important measures and means for dealing with pneumonia everywhere are gathered.

The event summary evaluation system comprises: the system comprises an event filing module, a risk assessment module and a summary reporting module, wherein the risk assessment module comprises a special risk assessment module and a daily risk assessment module. The summary reporting module comprises a flow adjustment summary reporting module and an event summary reporting module.

Since the decision of the public health incident is made in an unconventional state, and thus there may be deviation, it is necessary to call an expert database after the incident, re-evaluate the incident according to the progress of the incident, control the processing result, and so on, give an opinion, and update the incident processing plan and the case processing information at the same time, so as to provide a reference for the processing and handling of the next emergency.

The event summary report module is mainly used for evaluating the emergency response process of the emergent public events, matching with local departments to carry out evaluation, compiling emergency summary reports and proposing the accountants and specific work contents for revising the suggestions of the plan. The main matters and contents of the assessment and the summary are definitely made, and documents are formed and filed after meeting learning and discussion.

The special risk assessment module is mainly used for confirming whether the content of the emergency plan conforms to the current situation of the emergent public health event, and if the content of the emergency plan is changed greatly, the emergency plan needs to be revised again, for example, newly increased risks exist in newly increased projects, the emergency command organization is changed due to leadership adjustment, and the situation that the content of the emergency plan is contradictory or inconsistent with the content of the emergency plan is found in emergency drilling.

And the decision command center carries out whole-course tracking on the event in an emergency state, realizes event reporting, data acquisition and plan uploading and issuing, and assists leaders in making decisions. Meanwhile, the handling force is timely mobilized by means of systems such as emergency consultation, command scheduling, linkage combat and the like. The method mainly comprises the steps of event comprehensive monitoring, video conference, dynamic instruction issuing and event handling. The method mainly comprises real-time event reporting, current event dynamic, regional emergency materials and the like.

The decision-making command center usually knows the overall situation of various public health events at all levels in the area in real time from dimensions such as event types, event levels, event distribution and the like. In wartime, major public health events around the current occurrence are monitored and analyzed in multiple dimensions such as event dynamics, material conditions, case conditions, public opinion information, emergency attendance and the like.

The decision-making command center can also know the emergency material storage condition in the region in real time from the dimensions of material classification, emergency personnel condition, material quantity and the like. And in wartime, the emergency material scheduling condition required by the event is carried out in the event processing, and the material supply information is displayed in real time.

The decision-making command center also comprises a syndrome infectious disease early warning model based on machine learning, compared with the traditional early warning model, a known infectious disease type knowledge base is fused, the current popular neural network machine learning method and big data analysis technology are based, the syndrome information such as patient symptoms, physical signs, laboratory examination and imaging results recorded in a hospital is classified and judged to be a known or unknown abnormal syndrome, the neural network method and the clustering technology in machine learning are utilized, the diagnosis and treatment history big data are referred, the current multi-point abnormal syndrome is analyzed, and whether an early warning signal is sent or not is judged. The performance of the model can significantly exceed that of the existing traditional model on the main early warning performance evaluation indexes through simulation experiments.

The decision-making command center can know the disease case trend condition, the key population distribution condition, the case distribution condition, the isolated population condition, the population distribution condition and the like in the grid area in real time in a grid monitoring mode.

The whole process supervision of the event handling condition is realized, including the flow regulation condition, the confirmed diagnosis condition, the blind receiver investigation condition, the medical treatment condition, the death condition, the laboratory detection condition and the like.

Meanwhile, the public health incident emergency system provided by the embodiment of the application is docked with a plurality of platforms, and comprises the following components: the system is connected with a national emergency platform, a national health information platform, a health archive database, an electronic medical record database and a whole population database.

The national emergency platform is uniformly connected with signal resources of departments such as health, epidemic prevention, first aid, public security and the like, network data of all emergency management departments can be collected, mass data can be integrated, a centralized control data resource pool can be formed, and the efficiency of joint analysis can be improved through uniform information distribution and calling. The system realizes the hierarchical management of emergency and epidemic situation by butting the national emergency platform, and provides scientific data basis for leaders to command decisions.

The national health information platform, the public health incident emergency system and the data of the national health platform are in butt joint, and health files are taken as an example, so that the health files can be built and used everywhere. Not only the patients can enjoy safer, more convenient and high-quality diagnosis and treatment services, but also individual medical records faced by hospitals are changed into a public emergency common health emergency platform used for big data analysis of epidemic disease trend prediction and monitoring early warning.

The public health incident emergency system is in butt joint with a health archive database of a national health information platform, the health and disease problems and health services (or intervention measures) of personnel involved in emergent public incidents are taken as targets, the health and disease problems, targeted health service activities (or intervention measures) and recorded related information of the personnel are organically related, and the recorded massive information is scientifically classified and abstractly described, so that the recorded massive information is systematized, organized and structured, and the information is regulated and detected for subsequent information regulation, information detection and the like to support data.

The main butt joint comprises: the system comprises basic information of resident health records, public health data, clinical diagnosis and treatment information, basic medical service information, physical examination information of medical institutions and external system data.

The electronic medical record database, the public health incident emergency system and the electronic medical record database of the national health information platform are in butt joint, starting from three aspects of the time of seeing a doctor, the reason of seeing a doctor and the medical service for the personnel involved in the emergent public incident, the time of seeing a doctor, the reason of seeing a doctor, the specific medical service activity and the recorded relevant information of the individual in the medical institution are organically related by taking the individual as a main line, and the recorded massive information is scientifically classified and abstractly described so as to be systematized, organized and structured. Ensures that the patient can be timely treated and tracked during the medical treatment.

The main butt joint comprises: summary of medical records: for example: basic information of patients, basic health information, abstract of sanitary events, clinic (emergency) diagnosis and treatment records, hospitalization diagnosis and treatment records, referral (hospital) records, legal medical certification and report and the like.

The whole population database, the public health incident emergency system and the whole population database of the national health information platform are in butt joint, so that prevention, control, investigation and close contact of people in an area are guaranteed to be associated with population information, the emergent public health incident is guaranteed to be timely dispatched, early warning is timely monitored at the initial stage of the incident, and the situation is prevented from being expanded.

The data of the whole population database mainly comprises the following data: population personal case information, childbearing women and childbearing condition information, birth control management related information, birth population information, family information special for birth control, birth control registration service information, population monthly reports, annual reports, various rosters and registration books, population data required by national monitoring and the like.

By adopting the embodiment of the application, the advance prevention, the rapid treatment in the process and the after summary of the emergent public health events can be realized. The system takes a multipoint trigger monitoring and early warning system, an emergency plan management system and an emergency resource management system as cores, achieves early discovery, early reporting, early warning and early disposal, and achieves early prevention of public health events. The system comprises a decision command center, an epidemiology investigation system, a laboratory management system, a medical treatment system, a public opinion monitoring system and an information release system, and realizes the rapid disposal of the whole process of an event; the events are summarized and filed through the event summarizing system, daily risk assessment is carried out regularly, and the capability of dealing with emergent public health events is improved.

It should be noted that the public health event emergency system provided in the embodiment of the present application may be operated in one electronic device, or may be operated in a plurality of different electronic devices, and the use permissions of the public health event emergency system by people of different organizations are different.

Corresponding to the above system embodiment, as shown in fig. 3, the present application embodiment further provides a public health event emergency method, including:

s301, monitoring a plurality of monitoring objects in real time, and determining risk levels based on symptom information of the plurality of monitoring objects.

Wherein the monitored subject may be a population meeting a specified syndrome signature, e.g., the specified syndrome signature may be a syndrome of an infectious disease

And S302, when the risk level reaches a preset level, determining and displaying the early warning event.

And when the proportion of the patients with the same symptom received by each medical institution within the preset time period reaches the proportion set by the risk level, determining and displaying the early warning event.

For example, when the proportion of the number of fever patients admitted to the medical institutions on the same day accounts for 10% of the total number of all patients admitted to the medical institutions on the same day, it is determined and shown that a new coronary epidemic situation early warning event is likely to occur.

And S303, receiving confirmation operation of the user on the early warning event.

And judging whether the early warning event is an emergent public health event or not by the medical expert, and if so, determining that the early warning event is the emergent public health event.

S304, responding to the confirmation operation, acquiring a target emergency plan aiming at the early warning event, and executing the target emergency plan.

If the early warning event is determined to be an emergent public health event, a target emergency plan for the early warning event can be obtained from a plan library.

Wherein, obtain the emergent scheme of target to the early warning incident, can realize as: and inquiring a target emergency plan matched with the event situation and the event type of the early warning event.

The preset corresponding relation between the event situation and the time type and the emergency plan is stored in advance, and the target emergency plan can be searched from the preset corresponding relation according to the event situation and the event type of the current early warning event.

By adopting the embodiment of the application, the symptom information of a plurality of monitoring objects can be collected in real time, the early warning information of each medical institution is synthesized, when the risk level of the symptom information reaches the preset level, the early warning event can be displayed, a user can judge whether the early warning event is an emergent public health event, furthermore, when the early warning event is judged to be the emergent public health event, a target emergency plan aiming at the early warning event can be selected from a plan library, the symptom information of a plurality of detection objects is synthesized in real time to carry out early warning in time, the target emergency plan can be quickly obtained, and the public health event is quickly processed according to the target emergency plan.

The embodiment of the present application further provides an electronic device, as shown in fig. 4, which includes a processor 401, a communication interface 402, a memory 403, and a communication bus 404, where the processor 401, the communication interface 402, and the memory 403 complete mutual communication through the communication bus 404,

a memory 403 for storing a computer program;

the processor 401 is configured to implement the method steps in the above-described method embodiments when executing the program stored in the memory 403.

The communication bus mentioned in the electronic device may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.

The communication interface is used for communication between the electronic equipment and other equipment.

The Memory may include a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.

The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components.

In yet another embodiment provided herein, there is also provided a computer readable storage medium having a computer program stored therein, the computer program when executed by a processor implementing the steps of any of the above-described public health event emergency methods.

In yet another embodiment provided herein, there is also provided a computer program product containing instructions that, when executed on a computer, cause the computer to perform any of the above-described method of public health event emergencies.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, as for the method embodiment, since it is substantially similar to the system embodiment, the description is simple, and the relevant points can be referred to the partial description of the system embodiment.

The above description is only for the preferred embodiment of the present application and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application are included in the protection scope of the present application.

Claims

1. A public health incident emergency system, comprising: the system comprises a multipoint triggering, monitoring and early warning system, a decision command center, an emergency plan management system, an epidemiology investigation system, an emergency resource management system, a medical treatment and treatment system and a laboratory management system;

2. The system of claim 1,

the decision command center is used for sending a query instruction aiming at the early warning event to the emergency plan management system;

3. The system according to claim 1 or 2,

the decision command center is specifically configured to send a query command for the target emergency plan to the emergency resource management system;

4. The system according to claim 1 or 2,

the decision-making command center is specifically used for sending a flow regulation command aiming at the early warning event to the epidemiology investigation system according to the target emergency plan;

5. The system of claim 4,

the epidemiology investigation system is also used for determining a sampling object based on the flow modulation data and informing the sampling object to a specified sampling mechanism for sampling;

6. The system of claim 1,

the decision command center is specifically used for commanding the medical treatment system to treat the patient according to the target emergency plan;

7. The system of claim 1, further comprising: a public opinion monitoring system;

8. The system of claim 4, further comprising: an information distribution system;

9. The system of claim 1, further comprising: an event summary evaluation system;

10. A method of emergency public health events, the method comprising:

receiving confirmation operation of the user on the early warning event;