CN115631836A - System and method for analyzing and reasonably distributing emergency resources - Google Patents
System and method for analyzing and reasonably distributing emergency resources Download PDFInfo
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- CN115631836A CN115631836A CN202211274269.XA CN202211274269A CN115631836A CN 115631836 A CN115631836 A CN 115631836A CN 202211274269 A CN202211274269 A CN 202211274269A CN 115631836 A CN115631836 A CN 115631836A
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Abstract
The invention relates to the technical field of medical treatment, and discloses a system and a method for analyzing and reasonably distributing emergency resources. The intelligent terminal is one or more of an intelligent mobile phone, a tablet personal computer or a PC terminal, and the server is further connected with a medical insurance terminal. The invention is suitable for emergency treatment and can relieve the internet application program of the current situation of emergency treatment crowding; the method can reduce unnecessary waiting time in the emergency patient treatment process, promote hospital quality control management, and early warn outbreak of regional epidemic diseases.
Description
Technical Field
The invention relates to the technical field of medical treatment, in particular to a system and a method for analyzing and reasonably distributing emergency resources.
Background
With the rapid development of the internet era, the internet has profoundly influenced various aspects of people, and the traditional production and living modes are greatly changed. The rapid rise of internet and medical treatment is gradually changing the traditional medical treatment mode, optimizing the medical treatment process and further improving the medical treatment experience. Under the vigorous guidance of national policies, the development of information-based construction of emergency treatment is also a change day by day.
The emergency treatment in the hospital is the core link of the emergency service system, and the congestion condition of the emergency treatment has a great influence on the medical service efficiency and the service quality, so that the emergency treatment in the hospital is gradually a public health problem concerned by all countries in the world. After emergency treatment, the medical quality is reduced, adverse events are increased, the satisfaction of patients is reduced, the emergency rescue capability of hospitals is reduced and other serious consequences are caused. Although emergency resources under the condition of emergency congestion can be reasonably distributed to a certain extent by emergency pre-inspection triage and graded diagnosis and treatment, the problem of emergency congestion cannot be fundamentally solved. The research of the university of Van der Pauw in America discovers that a reasonable selection of a hospital for emergency treatment of patients is also a main method for solving emergency treatment crowding besides increasing human resources of an emergency department. The data show that among the factors influencing the crowding of the emergency treatment, the factors at the entrance of the emergency treatment mainly comprise the aging of the population and the emergency treatment of non-emergency patients; pre-hospital emergency doctors and patients scheduled for emergency treatment have no knowledge of the crowded status of emergency treatment in the hospital, because of the siphon effect of top-level hospitals in each area, large hospitals are selected blindly, the utilization of medical resources in the areas is unbalanced, and the quantity of patients in the same hospital in different time periods is different, which is an important reason for the crowded status of emergency treatment, the quantity of emergency treatment in the third-level hospitals in the Chongqing city in 2018 is as shown in fig. 1 (different hospitals are respectively replaced by English capital letters A to F), which shows that the huge difference of the quantity of emergency treatment also exists between the same-level hospitals except for the large hospitals and the small hospitals, and the medical resource utilization efficiency of some non-large hospitals and community hospitals is low, and even the situation that the medical resources are idle occurs. Therefore, the hospital emergency treatment condition is transparent and visible, and the method has important significance for guiding emergency patients to visit a proper hospital and transferring pre-hospital emergency doctors to the proper hospital, and improving the emergency treatment crowded condition in the patient hospital by reasonably distributing medical resources in the area
Compared with an emergency treatment perspective system, the system can not bring emergency treatment patients who do not undergo pre-hospital first aid into statistics, can not truly reflect emergency treatment conditions and needs to manually screen hospitals; the system is not open for the masses, and the improvement effect on the current situation of emergency treatment congestion is greatly limited. How to further relieve the emergency call crowding degree according to the emergency call crowding cause in the further development; in addition, no system can integrate the information of dominant subjects, dominant doctors, beds, medical resources and the like of each hospital in each area, so that the patients can not screen the most suitable medical resources according to the conditions of the patients and the conditions of the patients, the doctor hospital resources most matched with the conditions of the patients can not be accurately positioned, the medical treatment information can not be transparent, and the medical resources can not be comprehensively and fully utilized, so that a system and a method for analyzing and reasonably distributing the emergency resources are needed.
Disclosure of Invention
The invention aims to provide a system and a method for analyzing and reasonably distributing emergency resources, which are applicable to emergency treatment and can relieve the current situation of emergency treatment congestion; not only can reduce unnecessary waiting time in the process of seeing a doctor of an emergency patient, promote quality control management of a hospital, but also can early warn outbreak of regional epidemic diseases.
The invention is realized by the following steps:
the invention provides a system for analyzing and reasonably distributing emergency resources, which comprises an information monitoring end, a hospital end and a user end, wherein the hospital end and the user end are respectively connected with the information monitoring end through the Internet, the hospital end comprises a plurality of hospital resource information acquisition systems respectively connected with a hospital information system, the user end comprises a plurality of intelligent terminals, and the information monitoring end comprises a server respectively connected with the plurality of hospital resource information acquisition systems and the plurality of intelligent terminals.
Furthermore, the intelligent terminal is one or more of an intelligent mobile phone, a tablet computer or a PC terminal. The server is further connected with a medical insurance terminal, wherein the smart phone and the tablet personal computer are connected with the server in a mode including but not limited to small programs and APP.
Further, the invention provides a method for reasonably distributing the analysis emergency resources, which is specifically implemented according to the following steps:
S 1 accessing emergency call information systems of hospitals in areas of various regions through a hospital information acquisition system, and collecting current situation information of emergency call receiving of the hospitals in real time by a monitoring end; wherein the current status information of emergency treatment and consultation of each hospital comprises the waiting number of emergency patients at all levels and the observing roomThe number of the rest beds, the diagnosis and treatment range, the grade of a doctor and the diagnosis and treatment range of the doctor;
S 2: calculating the average time of the emergency treatment stay of each level of patients in each hospital according to the data of the previous patients at each level;
S 3 a patient who is scheduled to go to a hospital for emergency treatment or a pre-hospital emergency doctor fills in the basic condition, symptoms, past history and scheduled hospital information of the patient through an intelligent terminal;
S 4 planning the shortest route to a hospital, the critical condition of a patient, the emergency waiting condition of each hospital and the treatment capability condition of each hospital according to the real-time positioning of the intelligent terminal, matching the proper hospitals and sequencing;
S 5 the comprehensive information is carried out on the patients through the intelligent terminal, and the patients are ranked and recommended to the user side according to the shortest diagnosis time, the shortest distance to the hospital and the adaptive matching degree of symptoms. For example, a patient or a pre-hospital emergency doctor can log in by a WeChat applet, input simple information such as sex, age, symptoms, whether the patient is in the gestational period and the like, and recommend to preliminarily match a proper hospital after the patient is ready to see the congestion condition of the hospital emergency, and the patient can select the hospital according to the will of the patient and obtain the current information of the hospital emergency. In the matching process, conditional hospitals are first screened according to patient complaints and basic conditions, such as: a hospital with pediatric emergency capacity matched with children under 4 years old; hospitals with matched emergency capacity of stomatology department such as gum swelling and pain, bleeding and the like; psychiatric system diseases are matched with hospitals with psychiatric diagnosis and treatment capability. Then, the time required for the patient to reach each hospital is estimated through a program built-in navigation system; the hospital with the shortest arrival distance and the shortest emergency waiting time is a preferential recommendation hospital, and meanwhile, the patient can independently select a nearby hospital to check the current emergency treatment and waiting condition.
Further, in step S 3 The information filled in at the user side through the intelligent terminal comprises an information input module, a patient self-evaluation module, a recommended hospital module and an autonomous selection hospital module, wherein the information input module comprises information of name, age, sex, whether pregnant women are pregnant or not and symptoms, and the patient self-evaluation module comprises symptoms, a push buttonThe method comprises the following steps of recommending a hospital and a travel mode, wherein the travel mode comprises self-driving, public transportation, walking or ambulance, and the recommending hospital module and the autonomously selecting hospital module comprise information for displaying the current clinic condition of the hospital, critical patients, non-critical patients, infusion information and hospital brief introduction.
Further, in step S 4 In the method, the user side selects the target treatment area by self-positioning or means selection positioning through the intelligent terminal.
Further, the intelligent terminal of the user side comprises a patient user side and a medical care management user side, wherein the medical care management user side and the patient user side are classified through identity authentication in the server. The medical care management user side carries out authentication through a medical practitioner license number or hospital-assigned official authentication information, and the server provides the medical care management user side with the information of disease occurrence in the statistical area according to time and the information of disease occurrence in the statistical area according to symptoms. When abnormal conditions occur according to the information of the morbidity condition in the time counting region and the information of the morbidity condition in the symptom counting region, the server sends early warning information to the medical care management user side.
Compared with the prior art, the invention has the beneficial effects that:
1. the Internet application program is suitable for emergency treatment and can relieve the current situation of emergency treatment crowding; can reduce unnecessary waiting time in the process of seeing a doctor by an emergency patient and promote quality control management of a hospital.
2. Although waiting time is obviously needed for a short treatment, intelligent shunting of emergency patients in the region can be realized through server calculation, and the current situation of emergency congestion is solved; meanwhile, the system can also carry out reasonable triage according to general information and symptoms provided by the patient by fully evaluating the diagnosis ability of each hospital in the area, and can greatly reduce the patient referral rate.
3. The hospital can evaluate the waiting condition of the patient at different times through the medical care management user side, and reasonably arrange human resources at the peak time of the treatment; meanwhile, the time for treating the same kind of patients by different hospitals is compared, the problems and the defects in the diagnosis and treatment process are found, and the improvement of the medical quality is supervised and urged; finally, the system can be used for counting the initial symptoms of emergency patients in the region, further epidemiological statistics can be performed, early warning can be performed on outbreaks of the epidemic diseases in the region, and the system is of great importance for early control of various epidemic situations.
4. The patient can be precisely matched with the most suitable doctor and the most reliable medical resource according to the illness state of the patient, and the patient can walk at a minimum during the treatment. The system can help doctors to better meet the requirements of patients, reduce the difficulty of doctor-patient communication, improve the satisfaction degree of patients in medical treatment, reduce the emergency treatment quantity of part of non-emergency patients through internet self-diagnosis, and reduce the current situation of emergency treatment crowding.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a system diagram of the present invention;
FIG. 2 is a flow chart of the method of the present invention;
FIG. 3 is a diagram of intelligent terminal interface display information of the present invention;
FIG. 4 is a statistical chart of visit information for a staged healthcare management user side of the present invention;
fig. 5 is a statistical chart of the current visit information viewed by the medical care management user terminal of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
Referring to fig. 1-5, a system and method for analyzing emergency resources for rational allocation,
in this embodiment, the system for analyzing and reasonably distributing emergency resources provided by the present invention includes an information monitoring end, and a hospital end and a user end that are connected to the information monitoring end through the internet, respectively, where the hospital end includes multiple hospital resource information acquisition systems connected to the hospital information system, respectively, the user end includes multiple intelligent terminals, and the information monitoring end includes servers connected to the multiple hospital resource information acquisition systems and the multiple intelligent terminals, respectively.
In this embodiment, the intelligent terminal is one or more of a smart phone, a tablet computer or a PC terminal. The server is further connected with a medical insurance terminal, wherein the smart phone and the tablet personal computer are connected with the server in a mode including but not limited to small programs and APP.
In this embodiment, the invention provides a method for reasonably allocating analysis emergency resources, which is specifically executed according to the following steps:
S 1 accessing each hospital emergency call information system in each area through a hospital information acquisition system, and collecting the current emergency call receiving status information of each hospital in real time by a monitoring end; the current emergency treatment and consultation status information of each hospital comprises the waiting number of emergency patients at all levels, the number of remaining beds in observation rooms, the diagnosis and treatment range, the doctor level and the information of the doctor in the good diagnosis and treatment range;
S 2: calculating the average time of the emergency treatment stay of each level of patients in each hospital according to the data of the previous patients at each level;
S 3 a patient who is scheduled to go to a hospital for emergency treatment or a pre-hospital emergency doctor fills in the basic condition of the patient through an intelligent terminal,Symptoms, past history, proposed hospital information; the information filled in by the intelligent terminal at the user side comprises an information input module, a patient self-evaluation module, a recommended hospital module and an autonomous selection hospital module, wherein the information input module comprises information of name, age, sex, whether pregnant women exist or not and symptoms, the patient self-evaluation module comprises symptoms, a recommended hospital and a travel mode, the travel mode comprises self-driving, public transportation, walking or ambulance, and the recommended hospital module and the autonomous selection hospital module comprise information for displaying current diagnosis conditions of the hospital, critical patients, non-critical patients, infusion information and hospital brief introduction.
S 4 Planning the shortest route to a hospital, the critical condition of a patient, the emergency waiting condition of each hospital and the treatment capability condition of each hospital according to the real-time positioning of the intelligent terminal, matching the proper hospitals and sequencing; the user side selects the target treatment area by self-positioning or selecting positioning by means of the intelligent terminal.
S 5 The comprehensive information is carried out on the patients through the intelligent terminal, and the patients are ranked and recommended to the user side according to the shortest diagnosis time, the shortest distance to the hospital and the adaptive matching degree of symptoms. For example, a patient or a pre-hospital emergency doctor can log in by a WeChat applet, input simple information such as sex, age, symptoms, whether the patient is in the gestational period and the like, and recommend to preliminarily match a proper hospital after the patient is ready to see the congestion condition of the hospital emergency, and the patient can select the hospital according to the will of the patient and obtain the current information of the hospital emergency. In the matching process, conditional hospitals are first screened according to patient complaints and basic conditions, such as: a hospital with pediatric emergency capacity matched with children under 4 years old; hospitals with matched emergency capacity of stomatology department such as gum swelling and pain, bleeding and the like; psychiatric system diseases are matched with hospitals with psychiatric diagnosis and treatment capability. Then, the time required for the patient to reach each hospital is estimated through a program built-in navigation system; the hospital with the shortest arrival distance and the shortest emergency waiting time is a preferential recommendation hospital, and meanwhile, the patient can independently select a nearby hospital to check the current emergency treatment and waiting condition.
In this embodiment, the intelligent terminal of the user side includes a patient user side and a medical care management user side, where the medical care management user side is classified with the patient user side by performing identity authentication in the server. The medical care management user side carries out authentication through a medical practitioner license number or hospital-assigned official authentication information, and the server provides information for counting the morbidity in the area according to time and the morbidity in the area according to symptoms for the medical care management user side. When abnormal conditions occur according to the information of the morbidity condition in the time counting area and the information of the morbidity condition in the symptom counting area, the server sends early warning information to the medical care management client.
In the embodiment, the immediate emergency condition of the emergency medical center in Chongqing city is evaluated by 5 times of tests performed by testers at different time, and the waiting time for seeing a doctor is estimated. The current situation and the reality of the emergency treatment are completely in accordance with each other; the tester further simulates the patient waiting for a visit, with the waiting time being similar to the initial estimated time (less than or equal to 10 minutes).
Patient latency comparison during commissioning
The system of the present invention is commissioned from 8/2020 to 12/2020, with 249 visits during the period, 35 non-febrile III/IV patients in the hospital after the visit, 1 visit without leaving, and a waiting time from the preliminary screening triage to the visit as an example, the median waiting time for 34 patients is: 2 (3-1) min; 12180 patients who have not used the system in advance to the non-febrile III/IV patients in the emergency treatment of the hospital in the same period, the information is completely registered for 10299 patients, and the median after triage until the waiting time for the treatment is as follows: score 5 (10-3), analyzed using the kruskal-walis (K-W) test, showed a significant difference between the two, P < 0.05, as shown in table one.
TABLE 1 comparison of the waiting times of different hospital-type patients during the test
In this embodiment, as shown in fig. 4, the statistical results of the patients during the operation period show that the symptoms in the region are counted in real time during the trial operation period from 8 months in 2020 to 12 months in 2020, and the disease incidence in the region is counted according to the time and the symptoms, respectively.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A system for analyzing emergency resources for reasonable distribution is characterized in that: including the information monitoring end, and with information monitoring end respectively through hospital end and the user side of internet connection, the hospital end includes a plurality of hospital resource information acquisition systems who are connected with hospital information system respectively, the user side includes a plurality of intelligent terminal, the information monitoring end includes the server of being connected with a plurality of hospital resource information acquisition systems, a plurality of intelligent terminal respectively.
2. The system for analyzing and reasonably distributing emergency resources according to claim 1, wherein the intelligent terminal is one or more of a smart phone terminal, a tablet computer terminal or a PC terminal, and the server is further connected with a medical insurance terminal.
3. The system for analyzing emergency resources for rational distribution according to claim 2, wherein a smart phone or a tablet computer is connected to said server by means including but not limited to applet or APP.
4. A method for reasonably distributing analysis emergency resources is characterized by comprising the following steps:
S 1 accessing hospital emergency information systems in areas of various regions through hospital information acquisition systemsThe monitoring end collects the current situation information of the emergency call of each hospital in real time;
S 2 calculating the average time of emergency treatment stay of patients at all levels in each hospital according to the data of the patients at all levels in the past;
S 3 a patient who is scheduled to arrive at a hospital for emergency treatment by oneself or a pre-hospital emergency doctor fills in the basic condition, symptom, past history and information of the scheduled hospital by an intelligent terminal;
S 4 planning the shortest route to a hospital, the critical condition of a patient, the emergency waiting condition of each hospital and the treatment capability condition of each hospital according to the real-time positioning of the intelligent terminal, matching the proper hospitals and sequencing;
S 5 the comprehensive information is carried out on the patients through the intelligent terminal, and the patients are ranked and recommended to the user side according to the shortest diagnosis time, the shortest distance to the hospital and the adaptive matching degree of symptoms.
5. The method as claimed in claim 4, wherein the status information of emergency treatment of each hospital includes information of waiting number of emergency patients, remaining number of beds in observation room, diagnosis range, doctor grade and doctor's adept range.
6. An analysis emergency resource allocation method according to claim 4, wherein in step S 3 The information filled in at the user side through the intelligent terminal comprises an information input module, a patient self-evaluation module, a recommended hospital module and an autonomous hospital selection module, wherein the information input module comprises information of name, age, sex, whether pregnant women exist or not and symptoms, the patient self-evaluation module comprises symptoms, a recommended hospital and a travel mode, the travel mode comprises self-driving, public transportation, walking or ambulance, and the recommended hospital module and the autonomous hospital selection module comprise information for displaying current diagnosis conditions of the hospital, critical patients, non-critical patients, infusion information and hospital brief introduction.
7. An assay according to claim 4The reasonable distribution method of the emergency resources is characterized in that the reasonable distribution method is carried out in step S 4 In the method, the user side selects the target treatment area by self-positioning or means selection positioning through the intelligent terminal.
8. The method of claim 4, wherein the intelligent terminal of the user end comprises a patient user end and a medical care management user end, wherein the medical care management user end comprises a classification with the patient user end by performing identity authentication in the server.
9. The method of claim 8, wherein the medical management client is authenticated by a medical practitioner's license number or hospital-assigned official authentication information, and the server provides the medical management client with information on the occurrence of a disease in the time-based statistical region and information on the occurrence of a disease in the symptom-based statistical region.
10. The method of claim 9, wherein the server sends the pre-warning information to the medical care management client when the abnormal condition occurs according to the information of the disease condition in the time counting area and the information of the disease condition in the symptom counting area.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116313018A (en) * | 2023-05-18 | 2023-06-23 | 北京大学第三医院（北京大学第三临床医学院） | System and method for improving emergency efficiency of skiing field and near-field hospital |
| CN117371563A (en) * | 2023-10-09 | 2024-01-09 | 成都青羊殊德中西医门诊有限公司 | Internet-based intelligent online reservation diagnosis and treatment management system and method |
| CN117936054A (en) * | 2024-03-25 | 2024-04-26 | 四川互慧软件有限公司 | Emergency emergency treatment quality control index flexible display statistical method based on big data |
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2022
- 2022-10-18 CN CN202211274269.XA patent/CN115631836A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116313018A (en) * | 2023-05-18 | 2023-06-23 | 北京大学第三医院（北京大学第三临床医学院） | System and method for improving emergency efficiency of skiing field and near-field hospital |
| CN116313018B (en) * | 2023-05-18 | 2023-09-15 | 北京大学第三医院（北京大学第三临床医学院） | Emergency system and method for skiing field and near-field hospital |
| CN117371563A (en) * | 2023-10-09 | 2024-01-09 | 成都青羊殊德中西医门诊有限公司 | Internet-based intelligent online reservation diagnosis and treatment management system and method |
| CN117936054A (en) * | 2024-03-25 | 2024-04-26 | 四川互慧软件有限公司 | Emergency emergency treatment quality control index flexible display statistical method based on big data |
| CN117936054B (en) * | 2024-03-25 | 2024-05-17 | 四川互慧软件有限公司 | Emergency emergency treatment quality control index flexible display statistical method based on big data |
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