CN111639786B - Resource allocation method, device, storage medium and computer equipment - Google Patents
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Abstract
The invention relates to the technical field of data analysis, and can be applied to intelligent medical scenes. The resource allocation method comprises the following steps: receiving emergency information of a patient, and extracting position information of the patient from the emergency information; judging space grid information of a patient according to the position information of the patient, and acquiring space accessibility information between the patient and each medical institution according to the space grid information; matching emergency institutions and police emergency ambulances for patients according to the space accessibility information between the patients and the medical institutions; and planning an alarm-outputting route for the alarm-outputting emergency ambulance through a preset path planning algorithm according to the geographical position information of the alarm-outputting emergency ambulance, so that the alarm-outputting emergency ambulance executes a patient receiving task. The method considers the matching condition of the emergency resource and the patient information to the greatest extent, can effectively improve the efficiency and reliability of the emergency resource allocation, saves the time cost of emergency work, and improves the efficiency of the rescue work.
Description
Technical Field
The present invention relates to the field of intelligent medical technology, and in particular, to a resource allocation method, apparatus, storage medium, and computer device.
Background
Along with the continuous advancement of informatization construction of medical systems, more and more informatization, digitalization and networking medical resource management systems are derived, and for some medical resource management systems on the market, most medical resource management systems on the market comprise medical institution distribution in a certain city or county, scheduling and distribution of medical resources such as medicines and manpower, and no perfect solution exists in the business related to emergency treatment.
When the existing medical resource management system performs resource allocation, especially when the first-aid resource allocation is performed, only the distance problem between the patient and the medical institution is often considered, but other practical problems, such as the patient receiving capability of the medical institution or the influence of the practical road condition on the patient receiving, are not considered, which can lead to lower efficiency of the first-aid resource allocation, poor reliability, and further the optimal first-aid time of the patient is misused, thus causing irrecoverable results.
Disclosure of Invention
In view of the above, the present application provides a resource allocation method, apparatus, storage medium and computer device, and mainly aims to solve the technical problems of low efficiency and poor reliability of ambulance resource allocation.
According to a first aspect of the present invention, there is provided a resource allocation method, the method comprising:
receiving emergency information of a patient, and extracting position information of the patient from the emergency information;
judging space grid information of a patient according to the position information of the patient, and acquiring space accessibility information between the patient and each medical institution according to the space grid information;
matching emergency institutions and police emergency ambulances for patients according to the space accessibility information between the patients and the medical institutions;
And planning an alarm-outputting route for the alarm-outputting emergency ambulance through a preset path planning algorithm according to the geographical position information of the alarm-outputting emergency ambulance, so that the alarm-outputting emergency ambulance executes a patient receiving task.
According to a second aspect of the present invention, there is provided a resource allocation apparatus, the apparatus comprising:
the first-aid information receiving module is used for receiving first-aid information of a patient and extracting position information of the patient from the first-aid information;
The accessibility information acquisition module is used for judging the space grid information of the patient according to the position information of the patient and acquiring the space accessibility information between the patient and each medical institution according to the space grid information;
the emergency resource matching module is used for matching emergency institutions and police emergency ambulances for patients according to the space accessibility information between the patients and the medical institutions;
and the emergency route planning module is used for planning an emergency route for the emergency ambulance according to the geographical position information of the emergency ambulance through a preset path planning algorithm so as to enable the emergency ambulance to execute a patient receiving task.
According to a third aspect of the present invention, there is provided a storage medium having stored thereon a computer program which when executed by a processor implements the above-described resource allocation method.
According to a fourth aspect of the present invention there is provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the above-mentioned resource allocation method when executing the program.
The resource allocation method, the device, the storage medium and the computer equipment provided by the invention are characterized in that first emergency information of a patient is received, position information of the patient is extracted from the emergency information, then spatial grid information of the patient is judged according to the position information of the patient, spatial accessibility information between the patient and each medical institution is obtained according to the spatial grid information, the traffic convenience degree between the patient and each medical institution and the medical receiving capability of the medical institution can be accurately measured according to the comprehensive index of the spatial accessibility information, furthermore, the emergency institution and the police-outputting emergency vehicle are matched for the patient according to the spatial accessibility information, the resource allocation result can be more in accordance with the actual conditions of the patient and the medical institution, and finally, an police-outputting route is planned for the police-outputting emergency vehicle through a preset path planning algorithm, so that the influence of actual road conditions on the patient receiving can be comprehensively considered. The scheme considers the matching condition of the emergency resource and the patient information to the greatest extent, can effectively improve the efficiency and reliability of the emergency resource allocation, saves the time cost of emergency work, and improves the efficiency of the rescue work.
The foregoing description is only an overview of the present application, and is intended to be implemented in accordance with the teachings of the present application in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present application more readily apparent.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
fig. 1 is a schematic flow chart of a resource allocation method according to an embodiment of the present invention;
Fig. 2 is a schematic flow chart of another resource allocation method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a resource allocation device according to an embodiment of the present invention.
Detailed Description
The application will be described in detail hereinafter with reference to the drawings in conjunction with embodiments. It should be noted that, without conflict, the embodiments of the present application and features of the embodiments may be combined with each other.
In one embodiment, as shown in fig. 1, a resource allocation method is provided, and the method is applied to a computer device for illustration, and includes the following steps:
101. First-aid information of a patient is received, and position information of the patient is extracted from the first-aid information.
Specifically, after the emergency call is accessed, the emergency center can extract the position information of the patient from the voice information of the emergency call, wherein the position information of the patient is, for example, information such as city, area, street name, district name, building number and the like where the patient is located, and the position information of the patient can be obtained by synthesizing and converting the information;
In addition, patient condition information can be extracted from the first aid information, and the patient condition information can be obtained by summing up the patient condition information, such as patient identity information, patient number, patient symptoms, disease history, current state of the patient and the like. In this embodiment, the disease information may be compared with patient medical record information, or the disease name or disease type may be searched in the medical record knowledge base according to the symptoms of the patient, so as to obtain more accurate disease information.
102. And judging the space grid information of the patient according to the position information of the patient, and acquiring the space accessibility information between the patient and each medical institution according to the space grid information.
Specifically, the preset space area can be divided into a plurality of space grids through the geographic information system, and the space grids can be divided into equal areas according to longitude and latitude and land kilometers, for example, the space grids are divided into rectangles of 2km by 2 km; the division may also be performed according to the house density, for example, the division is performed according to the residential points (cells or communities), and after the division of the space grids is completed, the space grids and the longitude and latitude information may be mapped, that is, the space grid information of the patient may be obtained by querying the longitude and latitude information of the patient, where in this embodiment, the space grid information may be the number or name of a certain space grid.
Further, the space accessibility information between each space grid and each medical institution can be calculated through the potential energy model, wherein the space accessibility information can represent the convenience degree from a certain resident point to each nearby medical institution, the higher the space accessibility is, the more convenient the space accessibility is from a certain space grid to each nearby medical institution, meanwhile, the space accessibility information can also represent the population scale influence capacity and the medical resource capacity of each medical institution, namely, the space accessibility is high, namely, the space accessibility is not necessarily represented to be closest to or shortest in passing time, but represents the receiving capacity of the medical institution is relatively strong under the condition that the representing distance and the passing time are relatively short. In this embodiment, the spatial accessibility information between the patient and each medical institution can be queried by querying the grid information where the patient is located, where the spatial accessibility information is comprehensive information of traffic impedance information between the patient and each medical institution, medical resource information of the medical institution, and population influence capability information of the medical institution, and the spatial accessibility information is uploaded to the blockchain.
In this embodiment, the preset space region refers to a district, a city, or a manually delimited area, where the space region includes various geographic information data such as roads, rivers, houses, and the like; medical institutions refer to general hospitals except for special hospitals such as psychosis hospitals and tuberculosis hospitals, and specifically include comprehensive hospitals, emergency treatment centers, private hospitals, central sanitariums, village and town sanitariums and the like; medical resources comprise blood banks, medical medicines, emergency equipment and the like, and medical resource information comprises the names, the current quantity, the upper limit and the lower limit of the inventory, the expiration date and the like of the medical resources.
103. According to the space accessibility information between the patient and each medical institution, the emergency institution and the police emergency ambulance are matched for the patient.
Specifically, according to the space accessibility information between the patient and each medical institution, the medical institution with the space accessibility within the preset range is selected as an alternative emergency institution, then the emergency ambulance allocation information of the alternative emergency institutions is acquired, the alternative emergency ambulances are screened out according to the emergency ambulance allocation information and the illness state information of the patient, then the emergency ambulance with the shortest expected reaching time is screened out from the alternative emergency ambulances through a preset path planning algorithm to be used as an emergency exit ambulance, and finally the alternative emergency institution with the largest space accessibility is used as the emergency institution of the patient, wherein the emergency ambulance allocation information refers to the number information, the type information, the use state information, the emergency exit state information and the position information of each emergency ambulance.
104. And planning an alarm-outputting route for the alarm-outputting emergency ambulance through a preset path planning algorithm according to the geographic position information of the alarm-outputting emergency ambulance, so that the alarm-outputting emergency ambulance executes a patient receiving task.
The preset path planning algorithm comprises one algorithm or a fusion algorithm of a plurality of algorithms of ant colony algorithm, C-W saving algorithm, A-algorithm, large-scale neighborhood search, hyper-heuristic algorithm, genetic algorithm, distributed parallelization algorithm, reinforcement learning algorithm and the like.
Specifically, real-time road condition information in a preset area and geographic position information of an emergency exit ambulance can be obtained through a global positioning system, then an emergency exit route is planned for the emergency exit ambulance through a preset path planning algorithm, and further, the emergency exit ambulance can execute a patient receiving task according to the planned route.
According to the resource allocation method provided by the embodiment, first, emergency information of a patient is received, position information of the patient is extracted from the emergency information, then space grid information of the patient is judged according to the position information of the patient, space accessibility information between the patient and each medical institution is obtained according to the space grid information, the traffic convenience degree between the patient and each medical institution and the medical receiving capacity of the medical institution can be accurately measured according to the comprehensive index of the space accessibility information, furthermore, the emergency institution and the emergency vehicle for police are matched for the patient according to the space accessibility information, the resource allocation result can be more in accordance with the actual conditions of the patient and the medical institution, finally, an alarm route is planned for the emergency vehicle for police by a preset path planning algorithm, and the influence of actual road conditions on the patient receiving can be comprehensively considered. The scheme considers the matching condition of the emergency resource and the patient information to the greatest extent, can effectively improve the efficiency and reliability of the emergency resource allocation, saves the time cost of emergency work, and improves the efficiency of the rescue work. The scheme of the application can be applied to the scenes of intelligent security, such as security monitoring, and the like, thereby promoting the construction of intelligent cities.
Further, as a refinement and extension of the specific implementation manner of the foregoing embodiment, in order to fully describe the implementation process of this embodiment, a resource allocation method is provided, as shown in fig. 2, and the method includes the following steps:
201. first-aid information of a patient is received, and position information and illness state information of the patient are extracted from the first-aid information.
Specifically, after the emergency call is accessed, the emergency center can upload the recording information to the medical resource management system, and the medical resource management system can extract two types of keywords in the call through the voice recognition function, wherein one type is a disease condition keyword and the other type is a patient position keyword. The patient position keywords comprise information such as cities, areas, street names, cell names, building marks and the like where the patient is located, and the patient position information can be obtained by synthesizing and converting the information; the disease keywords comprise information such as patient identity information, patient number, patient symptoms, disease history, current state of the patient and the like, and the most likely at least one disease type can be matched by searching a case knowledge base, patient personal history medical records and family genetic history through the disease keywords, wherein the specific flow is as follows: when the disease is matched through the knowledge base, if a plurality of possibilities exist, the personal medical record can be queried, if similar symptoms exist, the disease type priority is higher, if the history medical record does not exist, family genetic history can be searched, if the disease type priority is matched, the disease type priority can be improved, and in this way, a plurality of disease types which are ordered according to the priority are finally matched, so that disease information is obtained.
In addition, the medical resource management system can also inquire the number of cases of the same disease type in a preset time and a preset range according to the position information and the disease information of the patient, then determine whether the disease grade is a large-scale group burst symptom, a medium-scale group burst symptom or a small-scale group burst symptom according to the number of cases of the same disease type in the preset time and the preset range, and finally configure medical resources related to the disease type in advance according to the disease grade. For example, in the XX street area in XX area, when 10 cases of food poisoning are judged in about 5 hours, the system automatically judges that food poisoning is likely to occur in the area, and related first-aid resources are scheduled in advance.
202. And judging the space grid information of the patient according to the position information of the patient, and acquiring the space accessibility information between the patient and each medical institution according to the space grid information.
Specifically, the medical resource management system can divide a preset space area into a plurality of space grids through the geographic information system, and the space grids can be divided into equal areas according to longitude and latitude and land kilometers, such as a rectangle of 2km by 2 km; the division may also be performed according to the house density, for example, division is performed according to the residential points, and after division of the space grids is completed, the space grids and the longitude and latitude information may be mapped, that is, the space grid information of the patient may be obtained by querying the longitude and latitude information of the patient, where in this embodiment, the space grid information may be the number or name of a certain space grid.
Further, spatial accessibility information between each spatial grid and each medical institution can be calculated through a potential energy model, wherein the spatial accessibility information can represent the convenience degree from a certain resident point to each nearby medical institution, and population scale influence capacity and medical resource capacity of each medical institution. In this embodiment, the spatial accessibility information between the patient and each medical facility can be queried by querying the grid information where the patient is located.
Specifically, the step of obtaining the space accessibility information between each space grid and each medical institution includes the following steps: firstly, acquiring population quantity information in each space grid and medical resource information of each medical institution through some government websites, and acquiring time information, distance information and travel friction information between each space grid and each medical institution through a geographic information system, wherein the medical resource information of each medical institution can be represented by the number of staff of each medical institution or the number of beds; then, according to the specific position information of each space grid and each medical institution, calculating to obtain time information, distance information and travel friction information between each space grid and each medical institution, and according to the information, obtaining traffic impedance information between each space grid and each medical institution, wherein the travel friction coefficient can be automatically generated according to the actual traffic condition in a period of time so as to obtain traffic impedance information matched with the actual condition, and then, according to population quantity information in each space grid and traffic impedance information between each space grid and each medical institution, population scale influence information of each medical institution can be calculated in sequence through a potential energy model, wherein the population scale influence information of the medical institution is in direct proportion to the population quantity in each space grid and is in inverse proportion to the traffic impedance between each space grid and the medical institution; finally, according to population size influence information of each medical institution, medical resource information of each medical institution and traffic impedance information between each space grid and each medical institution, space accessibility information between each space grid and each medical institution is calculated in sequence through a potential energy model, wherein the space accessibility information is in direct proportion to the medical resource information of the medical institution and in inverse proportion to the traffic impedance information between each space grid and the medical institution and the population size influence information of the medical institution. The spatial reachability information is uploaded into the blockchain.
In this embodiment, the use rate of the medical resources of each medical institution may also be acquired, and the weight of the space reachability information may be adjusted according to the use rate of the medical resources of each medical institution. In particular, the spatial reachability value may be adjusted according to the load condition of the medical resources of each medical institution, i.e., the usage rate of personnel or equipment of each medical institution, for example, the spatial reachability may be adjusted to be lower for the overloaded medical institution. In this embodiment, the weight of the space reachability may be adjusted by a piecewise function, for example, when the usage rate of medical resources of the medical institution is 50% or less, the weight of the space reachability is 100%; when the utilization rate of medical resources of the medical institution is 50% -80%, the weight of the space accessibility is 70%; when the utilization rate of medical resources of the medical institution is more than 80%, the weight of the space accessibility is 20%.
203. According to the space accessibility information between the patient and each medical institution, the emergency institution and the police emergency ambulance are matched for the patient.
Specifically, a medical institution with larger space accessibility can be selected as an alternative emergency institution according to space accessibility information between a patient and each medical institution, then emergency ambulance allocation information of the alternative emergency institutions is acquired, the alternative emergency ambulances are screened out according to the emergency ambulance allocation information and illness state information of the patient, then the emergency ambulance with shortest expected reaching time is screened out from the alternative emergency ambulances through a preset path planning algorithm to be used as an emergency ambulance for outputting an alarm, and the alternative emergency institution with the largest space accessibility is used as an emergency institution of the patient.
Specifically, when the emergency ambulance is screened, first, the emergency equipment required by the patient can be judged according to the illness symptoms in the illness state information of the patient and the type of the pre-judged illness, and then, the type of the emergency ambulance required by the patient is determined according to the emergency equipment, so that the delay of the emergency opportunity of the patient is avoided to the greatest extent. For example, the symptoms of a disease of a patient are very dependent on a device that is only equipped on a guardian ambulance, and the type of ambulance that is matched to the patient is guardian ambulance. Further, the medical resource management system can match the types of emergency vehicles required by the patient with each emergency vehicle in the emergency vehicle combination set, screen out the emergency vehicles with the matched types, then screen out the emergency vehicles which do not go police from the emergency vehicles with the matched types as alternative emergency vehicles according to the allocation information of the emergency vehicles, namely the use state information, the police-out state information and the like of the emergency vehicles, finally acquire real-time road condition information in a preset area through a global positioning system, screen out the alternative emergency vehicles with the shortest predicted arrival time from a plurality of alternative emergency vehicles according to the road condition and the distance of the positions of the alternative emergency vehicles to the positions of the patient, and serve as the police-out emergency vehicles.
Generally, the matching method of the emergency ambulance in the embodiment is performed according to the fastest resource matching principle. For example, the disease type of a patient depends on a certain device, and the emergency ambulance provided with the corresponding emergency equipment is preferentially inquired, and then the emergency ambulance which can arrive most quickly is selected as an alarm emergency ambulance according to the position of the emergency ambulance and the position of the patient and the real-time road condition information; if the patient is not very dependent on a certain emergency equipment, the fastest arriving emergency ambulance is prioritized as an out-of-alert emergency ambulance.
204. And planning an alarm-outputting route for the alarm-outputting emergency ambulance through a preset path planning algorithm according to the geographical position information of the alarm-outputting emergency ambulance, so that the alarm-outputting emergency ambulance executes a patient receiving task.
Specifically, after determining the police ambulance, the medical resource management system can allocate the corresponding police ambulance to the patient position to execute the receiving task, after the police ambulance arrives at the patient position to receive the patient, the medical staff on the ambulance can perform preliminary diagnosis on the condition of the patient, and then, the medical staff can input the preliminary diagnosis information of the patient into the equipment and upload the preliminary diagnosis information to the medical resource management system.
205. Medical resource information of each medical institution in a preset area is acquired, and stock allowance of each medical resource in the medical resource information is extracted.
Specifically, the resource management system may extract the remaining stock of medical resources such as blood banks, medical drugs, and protective supplies from the acquired medical resource management information.
206. And obtaining the estimated use time of each medical resource in each medical institution through a pre-trained medical resource early warning model according to the stock allowance of each medical resource.
Specifically, the resource management system can input the inventory allowance of each extracted medical resource into a trained medical resource early warning model based on the deep learning network, and obtain the estimated use time of each medical resource in each medical institution through model output.
The training method of the medical resource early warning model comprises the following steps of: collecting historical inventory data of medical resources in each medical institution and patient case information of each medical institution to obtain service conditions and incidence trends of past medical emergency materials, then carrying out pretreatment such as data cleaning and structuring treatment on the collected data to obtain sample data, dividing the sample data into a training set and a testing set, then inputting the sample data in the training set into a deep learning network such as a neural network, training the deep learning network by using a regression algorithm to obtain a prediction model, and finally carrying out parameter revision on the prediction model according to the sample data in the testing set to obtain a medical resource early warning model based on the deep learning network, wherein the medical resource early warning model can predict inventory change conditions and expected service time of each medical resource of each medical institution in a future period.
207. And generating medical resource early warning information and a medical resource allocation scheme according to the expected use time of each medical resource in each medical institution.
Specifically, when the stock of medical first-aid materials of a certain medical institution in a preset area reaches an early warning value, early warning information is generated in a medical resource management system, wherein the early warning information comprises an early warning type, an early warning object and early warning content, the early warning type comprises a blood bank, medicines and checking equipment, the early warning object comprises blood types, medicine names and checking equipment names, and the early warning content is the value of the current medical first-aid resource and the predicted residual time.
Further, the medical resource management system may automatically generate a medical emergency resource allocation scheme according to the stock of medical emergency materials of each medical institution, and in this embodiment, the generation principle of the medical emergency resource allocation scheme mainly includes an internal priority principle and a nearby principle, and meanwhile, when generating the allocation scheme, a dynamic planning algorithm is used in combination with the past resource usage situation to generate the medical resource unified allocation scheme. When the internal resources are insufficient, the configuration scheme recommends an external purchase mode, and the purchase principle also needs to make purchase recommendation according to the past use condition.
In addition, in the present embodiment, the corresponding digest information may be obtained based on the spatial reachability information, and specifically, the digest information is obtained by hashing the spatial reachability information, for example, by using the sha256s algorithm. Uploading summary information to the blockchain can ensure its security and fair transparency to the user. The user device may download the summary information from the blockchain to verify whether the spatial reachability information has been tampered with.
The blockchain is a novel application mode of computer technologies such as distributed data storage, point-to-point transmission, consensus mechanism, encryption algorithm and the like. The blockchain (Blockchain), essentially a de-centralized database, is a string of data blocks that are generated in association using cryptographic methods, each of which contains information from a batch of network transactions for verifying the validity (anti-counterfeit) of its information and generating the next block. The blockchain may include a blockchain underlying platform, a platform product services layer, an application services layer, and the like.
Further, as a specific implementation of the methods shown in fig. 1 and fig. 2, the present embodiment provides a resource allocation apparatus, as shown in fig. 3, including: an emergency information receiving module 31, an accessibility information obtaining module 32, an emergency resource matching module 33, an emergency route planning module 34, wherein:
the first-aid information receiving module 31 is configured to receive first-aid information of a patient and extract position information of the patient from the first-aid information;
the reachability information acquisition module 32 is configured to determine spatial grid information to which the patient belongs according to the position information of the patient, and acquire spatial reachability information between the patient and each medical institution according to the spatial grid information;
an emergency resource matching module 33, which can be used for matching emergency institutions and emergency police emergency vehicles for patients according to the space accessibility information between the patients and the medical institutions;
The emergency route planning module 34 is configured to plan an emergency route for the emergency exit ambulance according to the geographical location information of the emergency exit ambulance through a preset path planning algorithm, so that the emergency exit ambulance performs a patient receiving task.
In a specific application scenario, the reachability information acquisition module 32 may be specifically configured to acquire latitude and longitude information of a patient according to position information of the patient; judging the space grid information of the patient according to the longitude and latitude information; acquiring space accessibility information between each space grid and each medical institution through a potential energy model; and according to the space accessibility information between each space grid and each medical institution and the space grid information to which the patient belongs, obtaining the space accessibility information between the patient and each medical institution, and uploading the space accessibility information into the blockchain.
In a specific application scenario, the reachability information acquisition module 32 may be specifically configured to acquire population number information in each spatial grid, medical resource information of each medical institution, and time information, distance information and trip friction information between each spatial grid and each medical institution; according to the time information, the distance information and the travel friction information between each space grid and each medical institution, obtaining traffic impedance information between each space grid and each medical institution; obtaining population scale influence information of each medical institution according to population quantity information in each space grid and traffic impedance information between each space grid and each medical institution; and obtaining space accessibility information between each space grid and each medical institution according to the population scale influence information of each medical institution, the medical resource information of each medical institution and the traffic impedance information between each space grid and each medical institution.
In a specific application scenario, the emergency resource matching module 33 may be specifically configured to screen out, according to the space accessibility information between the patient and each medical institution, a medical institution whose space accessibility is within a preset range as an alternative emergency institution; obtaining ambulance configuration information of an alternative ambulance organization, and screening available ambulances to be used as alternative ambulances according to the ambulance configuration information; screening out the emergency ambulance with the shortest predicted reaching time from the alternative emergency ambulances as an alarm emergency ambulance by a preset path planning algorithm; the emergency facility is matched for the patient based on spatial accessibility information between the patient and each of the alternative emergency facilities.
In a specific application scenario, the emergency resource matching module 33 may be specifically further configured to extract patient condition information from the emergency information, and match at least one disease type for the patient according to the patient condition information; matching the type of the needed ambulance for the patient according to the at least one disease type; and screening out the emergency ambulances which do not give police from the emergency ambulance aggregate as alternative emergency ambulances according to the type of the emergency ambulances required by the patient and the configuration information of the emergency ambulances.
In a specific application scenario, the device further includes: an inventory information extraction module 35, a use time prediction module 36, and an early warning information generation module 37;
the inventory information extraction module 35 is configured to obtain medical resource information of each medical institution in a preset area, and extract an inventory allowance of each medical resource in the medical resource information;
the usage time prediction module 36 is configured to obtain, according to the inventory balance of each medical resource, a predicted usage time of each medical resource in each medical institution through a pre-trained medical resource early warning model;
the early warning information generating module 37 is configured to generate early warning information of medical resources and a medical resource allocation scheme according to the expected use time of each medical resource in each medical institution.
In a specific application scenario, the device further comprises a model training module 38, wherein the model training module can be used for collecting historical inventory data of medical resources in each medical institution and patient case information of each medical institution and performing pre-training to obtain sample data; dividing sample data into a training set and a testing set; inputting sample data in a training set into a deep learning network, and training the deep learning network by using a regression algorithm to obtain a prediction model; and carrying out parameter revision on the prediction model according to sample data of the test set to obtain the medical resource early warning model based on the deep learning network.
It should be noted that, other corresponding descriptions of each functional unit related to the resource allocation apparatus provided in this embodiment may refer to corresponding descriptions in fig. 1 and fig. 2, and are not described herein again.
Based on the above methods shown in fig. 1 and fig. 2, correspondingly, the present embodiment further provides a storage medium, on which a computer program is stored, which when executed by a processor, implements the above resource allocation method shown in fig. 1 and fig. 2.
Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, where the software product to be identified may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disc, a mobile hard disk, etc.), and include several instructions for causing a computer device (may be a personal computer, a server, or a network device, etc.) to execute the method described in the various implementation scenarios of the present application.
Based on the method shown in fig. 1 and fig. 2 and the embodiment of the resource allocation apparatus shown in fig. 3, in order to achieve the above objective, this embodiment further provides an entity device for resource allocation, which may specifically be a personal computer, a server, a smart phone, a tablet computer, a smart watch, or other network devices, where the entity device includes a storage medium and a processor; a storage medium storing a computer program; a processor for executing a computer program to implement the method as shown in fig. 1 and 2.
Optionally, the physical device may further include a user interface, a network interface, a camera, radio Frequency (RF) circuitry, sensors, audio circuitry, WI-FI modules, and the like. The user interface may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), etc., and the optional user interface may also include a USB interface, a card reader interface, etc. The network interface may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface), etc.
It will be appreciated by those skilled in the art that the structure of the entity device of one resource configuration provided in this embodiment is not limited to the entity device, and may include more or fewer components, or some components may be combined, or different arrangements of components.
The storage medium may also include an operating system, a network communication module. The operating system is a program for managing the entity equipment hardware and the software resources to be identified, and supports the operation of the information processing program and other software and/or programs to be identified. The network communication module is used for realizing communication among all components in the storage medium and communication with other hardware and software in the information processing entity equipment.
From the above description of the embodiments, it will be apparent to those skilled in the art that the present application may be implemented by means of software plus necessary general hardware platforms, or may be implemented by hardware. By applying the technical scheme of the application, the most suitable police emergency ambulance and emergency organization can be matched for the patient according to the position information and illness state information of the patient and by combining the medical resource information, emergency ambulance information and real-time road condition information of the medical institution acquired by the system. Compared with the prior art, the method can effectively save the time cost of medical resource allocation in emergency work and improve the efficiency of rescue work.
Those skilled in the art will appreciate that the drawing is merely a schematic illustration of a preferred implementation scenario and that the modules or flows in the drawing are not necessarily required to practice the application. Those skilled in the art will appreciate that modules in an apparatus in an implementation scenario may be distributed in an apparatus in an implementation scenario according to an implementation scenario description, or that corresponding changes may be located in one or more apparatuses different from the implementation scenario. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above-mentioned inventive sequence numbers are merely for description and do not represent advantages or disadvantages of the implementation scenario. The foregoing disclosure is merely illustrative of some embodiments of the application, and the application is not limited thereto, as modifications may be made by those skilled in the art without departing from the scope of the application.
Claims (9)
1. A method of resource allocation, the method comprising:
Receiving emergency information of a patient, and extracting position information of the patient from the emergency information;
Judging the space grid information of the patient according to the position information of the patient, and acquiring space accessibility information between each space grid and each medical institution through a potential energy model; obtaining space accessibility information between the patient and each medical institution according to the space accessibility information between each space grid and each medical institution and the space grid information to which the patient belongs;
According to the space accessibility information between the patient and each medical institution, screening out medical institutions with space accessibility within a preset range as alternative emergency institutions;
Obtaining emergency ambulance allocation information of an alternative emergency organization, and screening out available emergency ambulances as alternative emergency ambulances according to the emergency ambulance allocation information;
Screening out the emergency ambulance with the shortest expected reaching time from the alternative emergency ambulances as an emergency ambulance, and determining the alternative emergency agency with the largest space accessibility as the emergency agency of the patient by a preset path planning algorithm;
Planning an alarm-outputting route for the alarm-outputting emergency ambulance through a preset path planning algorithm according to the geographic position information of the alarm-outputting emergency ambulance, so that the alarm-outputting emergency ambulance executes a patient receiving task;
The step of obtaining the space accessibility information between each space grid and each medical institution through the potential energy model comprises the following steps: acquiring population quantity information in each space grid, medical resource information of each medical institution, time information, distance information and trip friction information between each space grid and each medical institution; according to the time information, the distance information and the travel friction information between each space grid and each medical institution, obtaining traffic impedance information between each space grid and each medical institution; obtaining population scale influence information of each medical institution according to population quantity information in each space grid and traffic impedance information between each space grid and each medical institution; and obtaining space accessibility information between each space grid and each medical institution according to the population scale influence information of each medical institution, the medical resource information of each medical institution and the traffic impedance information between each space grid and each medical institution.
2. The method of claim 1, wherein determining spatial grid information to which the patient belongs based on the position information of the patient comprises:
Acquiring longitude and latitude information of a patient according to the position information of the patient;
and judging the space grid information of the patient according to the longitude and latitude information.
3. The method of claim 1, wherein after obtaining spatial accessibility information of the patient to each medical facility, the method further comprises:
and uploading the space reachability information into a blockchain.
4. The method of claim 1, wherein the screening available ambulances as alternative ambulances according to the ambulance configuration information comprises:
Extracting illness state information of a patient from the first-aid information, and matching at least one disease type for the patient according to the illness state information;
matching the type of the needed ambulance for the patient according to the at least one disease type;
and screening out the emergency ambulances which do not give police from the emergency ambulance aggregate as alternative emergency ambulances according to the type of the emergency ambulances required by the patient and the configuration information of the emergency ambulances.
5. The method according to any one of claims 1-4, further comprising:
acquiring medical resource information of each medical institution in a preset area, and extracting stock information of each medical resource in the medical resource information;
according to the inventory information of each medical resource, the predicted use time of each medical resource in each medical institution is obtained through a pre-trained medical resource early warning model;
And generating medical resource early warning information and a medical resource allocation scheme according to the expected use time of each medical resource in each medical institution.
6. The method of claim 5, wherein the training method of the medical resource pre-warning model comprises:
Collecting historical inventory data of medical resources in each medical institution and patient case information of each medical institution and preprocessing to obtain sample data;
dividing the sample data into a training set and a testing set;
inputting the sample data in the training set into a deep learning network, and training the deep learning network by using a regression algorithm to obtain a prediction model;
and according to the sample data of the test set, carrying out parameter revision on the prediction model to obtain a medical resource early warning model based on the deep learning network.
7. A resource allocation apparatus, the apparatus comprising:
the emergency information receiving module is used for receiving the emergency information of the patient and extracting the position information of the patient from the emergency information;
the accessibility information acquisition module is used for judging the space grid information of the patient according to the position information of the patient and acquiring the space accessibility information between each space grid and each medical institution through a potential energy model; obtaining space accessibility information between the patient and each medical institution according to the space accessibility information between each space grid and each medical institution and the space grid information to which the patient belongs; the step of obtaining the space accessibility information between each space grid and each medical institution through the potential energy model comprises the following steps: acquiring population quantity information in each space grid, medical resource information of each medical institution, time information, distance information and trip friction information between each space grid and each medical institution; according to the time information, the distance information and the travel friction information between each space grid and each medical institution, obtaining traffic impedance information between each space grid and each medical institution; obtaining population scale influence information of each medical institution according to population quantity information in each space grid and traffic impedance information between each space grid and each medical institution; obtaining space accessibility information between each space grid and each medical institution according to the population scale influence information of each medical institution, the medical resource information of each medical institution and the traffic impedance information between each space grid and each medical institution;
The emergency resource matching module is used for screening out medical institutions with space accessibility within a preset range as alternative emergency institutions according to the space accessibility information between the patient and each medical institution; obtaining emergency ambulance allocation information of an alternative emergency organization, and screening out available emergency ambulances as alternative emergency ambulances according to the emergency ambulance allocation information; screening out the emergency ambulance with the shortest expected reaching time from the alternative emergency ambulances as an emergency ambulance, and determining the alternative emergency agency with the largest space accessibility as the emergency agency of the patient by a preset path planning algorithm;
And the emergency route planning module is used for planning an emergency route for the emergency ambulance according to the geographical position information of the emergency ambulance through a preset path planning algorithm so as to enable the emergency ambulance to execute a patient receiving task.
8. A storage medium having stored thereon a computer program, which when executed by a processor, implements the steps of the method of any of claims 1 to 6.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the computer program when executed by the processor implements the steps of the method according to any one of claims 1 to 6.
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| CN113362923B (en) * | 2021-06-03 | 2022-05-13 | 南通市第一人民医院 | Intelligent path planning method and system for osteoporosis patient |
| CN113506618A (en) * | 2021-07-29 | 2021-10-15 | 江苏海洋大学 | Ambulance information management system |
| CN113936782A (en) * | 2021-10-18 | 2022-01-14 | 哈尔滨工业大学 | Emergency medical resource allocation optimization method considering position distribution |
| CN117928592B (en) * | 2024-03-21 | 2024-06-07 | 四川省医学科学院·四川省人民医院 | Emergency ambulance route planning and arrival time estimating method and system |
| CN118398185A (en) * | 2024-06-28 | 2024-07-26 | 天津市急救中心 | Automatic dispatching method, equipment and medium for emergency medical rescue vehicle |
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