CN112614577A - Medical resource allocation method based on big data analysis - Google Patents
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Abstract
The invention discloses a medical resource allocation method based on big data analysis, which comprises the following specific steps: a user registers and logs in the medical resource distribution system, and the data acquisition module acquires medical data; intelligently distributing medical resources through a medical resource distribution system; the medical resource allocation system is used for realizing reasonable allocation of medical resources, the region division module is used for intelligently dividing regions required by the medical resources, and the resource scheduling module is used for receiving the divided small regions sent by the region division module and scheduling the medical resources for the divided small regions; the medical resource reservation request ordering method and the medical resource reservation system facilitate the medical resource reservation request to be reasonably ordered, the medical resource is orderly allocated, the allocation processing system of the medical resource is optimized, and the disordered allocation of the medical resource is avoided; the medical resource allocation system is convenient for allocating corresponding quantity of medical resources for each region, and avoids the phenomenon that the medical resources are idle and wasted or the medical requirements are difficult to meet.
Description
Technical Field
The invention belongs to the technical field of big data, relates to a medical resource allocation technology, and particularly relates to a medical resource allocation method based on big data analysis.
Background
Medical resources are a general term for production elements providing medical services, and typically include personnel, medical expenses, medical institutions, medical beds, medical facilities and equipment, knowledge skills and information, and the like. The allocation of the health care resources refers to the allocation and flow of the health care resources in the health care industry (or department), and comprises the allocation of the health care resources in two aspects, namely increment allocation and stock adjustment, which are also called as initial allocation and reconfiguration.
The problems of the existing medical resources in the distribution process are as follows: reasonable distribution and allocation between each region and the corresponding local medical resources cannot be achieved, or the medical resources cannot meet local medical requirements, or the medical resources exceed the local medical requirements, so that the medical resources are idle and wasted, and the medical resources are easy to be wasted or difficult to meet the medical requirements due to the deficiency and surplus of the medical resources; when the quantity of medical resources is limited, particularly during the peak period of medical resource use, medical resources in various regions cannot be reasonably distributed, the medical resource distribution cannot be orderly arranged, and the distribution system of the medical resources is not optimized enough.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a medical resource allocation method based on big data analysis.
The technical problem to be solved by the invention is as follows:
(1) reasonable distribution and allocation between each region and the corresponding local medical resources cannot be achieved, or the medical resources cannot meet local medical requirements, or the medical resources exceed the local medical requirements, so that the medical resources are idle and wasted, and the medical resources are easy to be wasted or difficult to meet the medical requirements due to the deficiency and surplus of the medical resources;
(2) when the quantity of medical resources is limited, especially at the peak time of medical resource use, the medical resources cannot be reasonably distributed in various places, the medical resource distribution cannot be orderly arranged, and the distribution system of the medical resources is not optimized.
The purpose of the invention can be realized by the following technical scheme:
a medical resource allocation method based on big data analysis comprises the following specific steps:
the method comprises the following steps: after the user registers, the user logs in a medical resource distribution system, and a data acquisition module acquires medical data;
step two: intelligently distributing medical resources through a medical resource distribution system;
the medical resource distribution system comprises a data acquisition module, a positioning module, a region division module, a resource scheduling module, a distribution planning module and an intelligent reservation module;
the region division module is used for intelligently dividing regions required by medical resources, and the intelligent division steps are as follows:
s1: acquiring medical resource supply points in a region required by medical resources, and inputting a set radius range by a region dividing module so as to establish a circular region taking the medical resource supply points as a center;
s2: the circular area is divided into a plurality of small areas according to fixed angles, and the small areas are marked as j, j is 1, 2, … …, x;
s3: dividing the circular area into a plurality of small areas according to fixed distances, and recording the small areas as k, wherein k is 1, 2, … …, n; a number of small areas are marked as Qjk;
the region dividing module sends the divided small regions to a resource scheduling module; the resource scheduling module is used for receiving the divided small areas sent by the area dividing module and performing medical resource scheduling on the divided small areas, and the medical resource scheduling steps are as follows:
p1: acquiring small areas Qjk divided by an area dividing module;
p2: acquiring the number of the permanent population of the small area, and marking the permanent population as RKQjk(ii) a Obtaining the number of motor vehicles in a small area and marking the number of the motor vehicles as CLQjk(ii) a Using the formula Q1YQjk＝a1×RKQjk+a2×CLQjkCalculating to obtain a first area value Q1Y of the small areaQjk；
P3: obtaining the air quality index of a small area and marking the air quality index as KQQjk(ii) a Acquiring the dust amount of a small area, and marking the dust amount as HCQjk(ii) a Obtaining ultraviolet index of small area, and marking the ultraviolet index as ZWQjk(ii) a Using the formula Q2YQjk＝a3×KQQjk+a4×HCQjk+a5×ZWQjkCalculating a second area value Q2Y of the small areaQjk；
P4: acquiring the number of drugstores selling the mask in a small area, and marking the number of the drugstores selling the mask as YDQjk(ii) a Acquiring the number of hospitals selling masks in a small area, and marking the number of hospitals selling masks as YYQjk(ii) a Using the formula Q3YQjk＝a6×YDQjk+a7×YYQjkCalculating to obtain a third region value Q3Y of the small regionQjk(ii) a a1, a2, a3, a4, a5, a6 and a7 are all weight coefficients, and the values of a1, a2, a3, a4, a5, a6 and a7 are all larger than zero;
p5: calculating to obtain the resource value ZY of the small region by using a formulaQjkThe formula is specifically as follows:
p6: counting the total KZ of the mask in all small areasQjkArranging the total amount of the masks in the small area in a descending order to generate a first ordering list; sequencing the resource values of the small areas in a descending order to generate a second sequencing table;
p7: checking the positions of the same small area in the first sorting table and the second sorting table, wherein if the positions of the same small area are the same, the medical resources in the small area do not need to be scheduled; if the positions of the medical resources and the position of the medical resources are different, the medical resources in the small area need to be scheduled, and the medical resources in the small area are scheduled to the corresponding values in the first sequencing list;
step three: the reasonable distribution of medical resources is realized through the medical resource distribution system.
Further, the user terminal is in communication connection with a cloud server of the medical resource distribution system, and the user terminal is in bidirectional connection with the cloud server;
the user terminal is used for registering and logging after a user inputs personal information and sending the personal information to the cloud server for storage; the personal information comprises user name, age, real-name authentication mobile phone number, personal photo and health condition.
Further, the data acquisition module is also used for acquiring environmental data of a small area and sending the environmental data to the resource scheduling module, wherein the environmental data comprises an air quality index, a dust amount and an ultraviolet index.
Further, after logging in the medical resource distribution system through the user terminal, the user publishes medical resource requirements through the user terminal, wherein the medical resource requirements comprise names, types and quantity of medical resources;
the intelligent reservation module is used for intelligently reserving medical resources, and the intelligent reservation steps are as follows:
SS 1: acquiring the number of times that the user terminal sends a medical resource reservation request, and marking the number of times that the user terminal sends the medical resource reservation request as Ci, i is 1, 2, … …, m, i represents the user terminal;
SS 2: acquiring the residual amount Si of the mask corresponding to the user terminal and the appointment duration Ti of the medical resource appointment request; the medical resource reservation request is obtained by subtracting the time of receiving the medical resource reservation request by the cloud server from the current time of the system;
SS 3: calculating a medical resource requirement value Xi of the user terminal by using a formula Xi of Ci × c1+ Si × c2+ Ti × c 3;
SS 4: according to the medical resource emergency value of the user terminal, the medical resource reservation requests are subjected to descending order arrangement, and a longitudinal descending order arrangement table is generated after the descending order arrangement;
SS 5: acquiring a small area where a user terminal is located, and acquiring a resource value Zi corresponding to the small areaQjk(ii) a Acquiring the corresponding medical resource reservation request times Qi in the small area where the user terminal is locatedQjkUsing the formula
Calculating to obtain an obstruction value ZAi of the medical resource in the small area where the user terminal is located; wherein c1,c2, c3, c4, c5 and c6 are all proportional coefficient fixed numerical values, and the values of c1, c2, c3, c4 and c5 are all larger than zero;
SS 6: carrying out ascending arrangement on the corresponding obstruction values in the small area where the user terminal is located, and generating a transverse ascending arrangement list after the ascending arrangement; the longitudinal descending sequence list and the transverse ascending sequence list are combined to form a comprehensive arrangement list of the two elements;
SS 7: the intelligent reservation module selects and sorts the medical resource reservation requests according to the comprehensive arrangement table, and the priority processing principle of the intelligent reservation module is an emergency value and a barrier value in sequence;
the positioning module is used for positioning the position information of the user terminal and sending the position information to the cloud server, and the cloud server receives the position information of the user terminal sent by the positioning module and forwards the position information to the distribution planning module.
Further, the two elements are divided into a horizontal element and a vertical element, and the horizontal element and the vertical element correspond to an emergency value of the user terminal and an obstruction value of the user terminal, respectively.
Compared with the prior art, the invention has the beneficial effects that:
1. the medical resource reservation system intelligently allocates reservation requests of medical resources through the intelligent reservation module, and a comprehensive sequencing table of medical resource reservation is formed by acquiring medical resource emergency values of the user terminals and medical resource barrier values of the areas where the user terminals are located and arranging the medical resource emergency values and the medical resource barrier values of the areas where the user terminals are located as two elements of the table;
2. according to the invention, the region where the user terminal is located is divided by the region dividing module, medical resources in the divided region are distributed and scheduled by the resource scheduling module, the resource values of the region are obtained by obtaining the first region value, the second region value and the third region value of each region and calculating, the resource values are counted in the second sorting table and are mutually mapped and compared with the first sorting table, whether the medical resources of the region are scheduled or not is judged, the design is convenient for allocating corresponding quantity of medical resources for each region, and the phenomenon that the medical resources are idle and wasted or the medical requirements are difficult to meet is avoided.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is a flow chart of the present invention for a method of medical resource allocation based on big data analysis;
fig. 2 is a system block diagram of a medical resource allocation method based on big data analysis according to the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-2, a medical resource allocation method based on big data analysis includes the following steps:
the method comprises the following steps: after the user registers, the user logs in a medical resource distribution system, and a data acquisition module acquires medical data;
step two: intelligently distributing medical resources through a medical resource distribution system;
the medical resource distribution system comprises a data acquisition module, a positioning module, a region division module, a resource scheduling module, a distribution planning module and an intelligent reservation module;
the user terminal is in communication connection with a cloud server of the medical resource distribution system, and the user terminal is in bidirectional connection with the cloud server;
the user terminal is used for registering and logging after a user inputs personal information and sending the personal information to the cloud server for storage; the personal information comprises user name, age, real-name authentication mobile phone number, personal photo, health condition and the like; the region division module is used for intelligently dividing regions required by medical resources, and the intelligent division steps are as follows:
s1: acquiring medical resource supply points in a region required by medical resources, and inputting a set radius range by a region dividing module so as to establish a circular region taking the medical resource supply points as a center;
s2: the circular area is divided into a plurality of small areas according to fixed angles, and the small areas are marked as j, j is 1, 2, … …, x;
s3: dividing the circular area into a plurality of small areas according to fixed distances, and recording the small areas as k, wherein k is 1, 2, … …, n; a number of small areas are marked as Qjk;
the region dividing module sends the divided small regions to a resource scheduling module; the data acquisition module is also used for acquiring environmental data of a small area and sending the environmental data to the resource scheduling module, wherein the environmental data comprises an air quality index, water quality, dust amount, an ultraviolet index and the like; the resource scheduling module is used for receiving the divided small areas sent by the area dividing module and performing medical resource scheduling on the divided small areas, and the medical resource scheduling steps are as follows:
p1: acquiring small areas Qjk divided by an area dividing module;
p2: acquiring the number of the permanent population of the small area, and marking the permanent population as RKQjk(ii) a Obtaining the number of motor vehicles in a small area and marking the number of the motor vehicles as CLQjk(ii) a Using the formula Q1YQjk＝a1×RKQjk+a2×CLQjkCalculating to obtain a first area value Q1Y of the small areaQjk；
P3: obtaining the air quality index of a small area and marking the air quality index as KQQjk(ii) a Obtaining the dust amount of a small area and marking the dust amount as HCQjk(ii) a Obtaining ultraviolet index of small area, and marking the ultraviolet index as ZWQjk(ii) a Using the formula Q2YQjk＝a3×KQQjk+a4×HCQjk+a5×ZWQjkCalculating a second area value Q2Y of the small areaQjk；
P4: acquiring the number of drugstores selling the mask in a small area, and marking the number of the drugstores selling the mask as YDQjk(ii) a Acquiring the number of hospitals selling masks in a small area, and marking the number of hospitals selling masks as YYQjk(ii) a Using the formula Q3YQjk＝a6×YDQjk+a7×YYQjkCalculating to obtain a third region value Q3Y of the small regionQjk(ii) a a1, a2, a3, a4, a5, a6 and a7 are all weight coefficients, and the values of a1, a2, a3, a4, a5, a6 and a7 are all larger than zero;
p5: calculating to obtain the resource value ZY of the small region by using a formulaQjkThe formula is specifically as follows:
p6: counting the total KZ of the mask in all small areasQjkArranging the total amount of the masks in the small area in a descending order to generate a first ordering list; sequencing the resource values of the small areas in a descending order to generate a second sequencing table;
p7: checking the positions of the same small area in the first sorting table and the second sorting table, wherein if the positions of the same small area are the same, the medical resources in the small area do not need to be scheduled; if the positions of the medical resources and the position of the medical resources are different, the medical resources in the small area need to be scheduled, and the medical resources in the small area are scheduled to the corresponding values in the first sequencing list;
after a user logs in a medical resource distribution system through a user terminal, the user terminal issues medical resource requirements, wherein the medical resource requirements comprise names, types, quantity and the like of medical resources; the intelligent reservation module is used for intelligently reserving medical resources, and the intelligent reservation steps are as follows:
SS 1: acquiring the number of times that the user terminal sends a medical resource reservation request, and marking the number of times that the user terminal sends the medical resource reservation request as Ci, i is 1, 2, … …, m, i represents the user terminal;
SS 2: acquiring the residual amount Si of the mask corresponding to the user terminal and the appointment duration Ti of the medical resource appointment request; the medical resource reservation request is obtained by subtracting the time of receiving the medical resource reservation request by the cloud server from the current time of the system;
SS 3: calculating a medical resource requirement value Xi of the user terminal by using a formula Xi of Ci × c1+ Si × c2+ Ti × c 3;
SS 4: according to the medical resource emergency value of the user terminal, the medical resource reservation requests are subjected to descending order arrangement, and a longitudinal descending order arrangement table is generated after the descending order arrangement;
SS 5: acquiring a small area where a user terminal is located, and acquiring a resource value Zi corresponding to the small areaQjk(ii) a Acquiring the corresponding medical resource reservation request times Qi in the small area where the user terminal is locatedQjkUsing the formula
Calculating to obtain an obstruction value ZAi of the medical resource in the small area where the user terminal is located; in the formula, c1, c2, c3, c4, c5 and c6 are all proportional coefficient fixed numerical values, and the values of c1, c2, c3, c4 and c5 are all larger than zero;
SS 6: carrying out ascending arrangement on the corresponding obstruction values in the small area where the user terminal is located, and generating a transverse ascending arrangement list after the ascending arrangement; the longitudinal descending sequence list and the transverse ascending sequence list are combined to form a comprehensive arrangement list of the two elements; the two elements are divided into a transverse element and a longitudinal element, and the transverse element and the longitudinal element respectively correspond to an emergency value of the user terminal and an obstruction value of the user terminal;
SS 7: the intelligent reservation module selects and sorts the medical resource reservation requests according to the comprehensive arrangement table, and the priority processing principle of the intelligent reservation module is an emergency value and a barrier value in sequence;
the positioning module is used for positioning the position information of the user terminal and sending the position information to the cloud server, and the cloud server receives the position information of the user terminal sent by the positioning module and then forwards the position information to the distribution planning module;
the medical resource distribution system also comprises a distribution planning module and a simulation operation unit; the simulation operation unit is used for simulating operation of a medical resource distribution route, the distribution planning module is combined with the simulation operation unit and used for carrying out distribution planning on medical resources needing to be scheduled, and the distribution planning process is as follows:
q1: acquiring the geographical position of a user terminal and the geographical position of a medical resource distribution point, and acquiring a road traffic map communicating the user terminal and the medical resource distribution through a cloud server;
q2: acquiring a plurality of driving routes for medical resource distribution, and marking the driving routes as o; selecting a plurality of driving routes to a simulation operation unit for simulation operation to obtain a simulation driving distance Jo;
q3: acquiring the traffic flow of a driving route, and marking the traffic flow as Cu; acquiring the number of traffic lights of a driving route, and marking the number of the traffic lights as Du;
q5: the driving values XSu of the driving routes are calculated by using a formula, wherein the formula is as follows:
q6: selecting a first-arranged driving value after the driving values are arranged in a descending order, and taking a driving route corresponding to the driving value as a driving route for medical resource distribution;
it should be noted that the detection device of the traffic flow may specifically be a traffic flow detection radar on the driving route, or may also be a traffic flow monitoring vehicle parked on the driving route, which is not limited herein;
step three: the reasonable distribution of medical resources is realized through the medical resource distribution system.
The above formulas are all calculated by taking the numerical value of the dimension, the formula is a formula which obtains the latest real situation by acquiring a large amount of data and performing software simulation, and the preset parameters in the formula are set by the technical personnel in the field according to the actual situation.
The working principle is as follows: the method comprises the following steps of intelligently dividing a region required by medical resources through a region dividing module to obtain medical resource supply points in the region required by the medical resources, inputting a set radius range through the region dividing module, and thus establishing a circular region taking the medical resource supply points as a center, wherein the circular region is divided into a plurality of small regions according to a fixed angle and a fixed distance;
the region dividing module sends the divided small regions to the resource scheduling module, the data acquisition module is also used for acquiring environment data of the small regions and sending the environment data to the resource scheduling module, medical resource scheduling is carried out on the divided small regions through the resource scheduling module, the small regions divided by the region dividing module are firstly acquired, the number of the living people and the number of the motor vehicles of the small regions are acquired, a first region value of the small regions is calculated by using a formula, and then the air quality index, the dust amount and the ultraviolet index of the small regions are acquired; calculating a second area value of a small area by using a formula, finally obtaining the number of pharmacies selling masks and the number of hospitals selling masks in the small area, calculating a third area value of the small area by using the formula, calculating a resource value of the small area by using the formula, counting the total amount of masks in all the small areas, arranging the total amount of the masks in the small area in a descending order to generate a first sequencing table, arranging the resource values in the small area in a descending order to generate a second sequencing table, checking the positions of the same small area in the first sequencing table and the second sequencing table, and if the positions of the two are the same, not scheduling medical resources in the small area; if the positions of the medical resources and the position of the medical resources are different, the medical resources in the small area need to be scheduled, and the medical resources in the small area are scheduled to the corresponding values in the first sequencing list;
after a user logs in a medical resource distribution system through a user terminal, the user terminal issues medical resource requirements, an intelligent reservation module intelligently reserves medical resources to obtain the times of medical resource reservation requests sent by the user terminal, then obtains the residual amount of a mask and the reservation duration of the medical resource reservation requests corresponding to the user terminal, calculates the medical resource requirement value of the user terminal by using a formula, performs descending arrangement on the medical resource reservation requests according to the medical resource emergency value of the user terminal, generates a longitudinal descending arrangement table after the descending arrangement, finally obtains the small area where the user terminal is located to obtain the resource value of the small area where the user terminal is located, obtains the times of the medical resource reservation requests corresponding to the small area where the user terminal is located, calculates the barrier value of the medical resources in the small area where the user terminal is located by using the formula, the method comprises the steps that corresponding obstruction values in a small area where a user terminal is located are arranged in an ascending order, a transverse ascending order arrangement table is generated after the ascending order arrangement, a longitudinal descending order arrangement table and a transverse ascending order arrangement table are combined to form a comprehensive arrangement table of two elements, an intelligent reservation module selects to carry out ordering processing on medical resource reservation requests according to the comprehensive arrangement table, and the priority processing principle of the intelligent reservation module is an emergency value and the obstruction value in sequence;
the method comprises the steps of simulating operation of a medical resource distribution route through a simulation operation unit, carrying out distribution planning on medical resources to be dispatched by a distribution planning module in combination with the simulation operation unit, firstly obtaining the geographic position of a user terminal and the geographic position of a medical resource distribution point, obtaining a road traffic map for communicating the user terminal and the medical resource distribution through a cloud server, obtaining a plurality of driving routes for medical resource distribution, selecting the plurality of driving routes to the simulation operation unit for simulation operation to obtain a simulated driving distance, obtaining the traffic flow and the traffic light number of the driving routes, calculating the driving values of the plurality of driving routes by using a formula, selecting the driving value at the head of arrangement after the driving values are arranged in a descending order, and taking the driving route corresponding to the driving value as the driving route for medical resource distribution.
In the embodiments provided in the present invention, it should be understood that the disclosed apparatus, device and method can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof.
The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any accompanying claims should not be construed as limiting the claim concerned.
Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention is described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.
Claims (5)
1. A medical resource allocation method based on big data analysis is characterized by comprising the following specific steps:
the method comprises the following steps: after the user registers, the user logs in a medical resource distribution system, and a data acquisition module acquires medical data;
step two: intelligently distributing medical resources through a medical resource distribution system;
the medical resource distribution system comprises a data acquisition module, a positioning module, a region division module, a resource scheduling module, a distribution planning module and an intelligent reservation module;
the region division module is used for intelligently dividing regions required by medical resources, and the intelligent division steps are as follows:
s1: acquiring medical resource supply points in a region required by medical resources, inputting a set radius range by a region dividing module, and establishing a circular region taking the medical resource supply points as a center;
s2: the circular area is divided into a plurality of small areas according to fixed angles, and the small areas are marked as j, j is 1, 2, … …, x;
s3: dividing the circular area into a plurality of small areas according to fixed distances, and recording the small areas as k, wherein k is 1, 2, … …, n; a number of small areas are marked as Qjk;
the region dividing module sends the divided small regions to a resource scheduling module; the resource scheduling module is used for receiving the divided small areas sent by the area dividing module and performing medical resource scheduling on the divided small areas, and the medical resource scheduling steps are as follows:
p1: acquiring small areas Qjk divided by an area dividing module;
p2: acquiring the number of the permanent population of the small area, and marking the permanent population as RKQjk(ii) a Obtaining the number of motor vehicles in a small area and marking the number of the motor vehicles as CLQjk(ii) a Using the formula Q1YQjk＝a1×RKQjk+a2×CLQjkCalculating to obtain a first area value Q1Y of the small areaQjk；
P3: obtaining the air quality index of a small area and marking the air quality index as KQQjk(ii) a Obtaining the dust amount of a small area, anMarking the dust amount as HCQjk(ii) a Obtaining ultraviolet index of small area, and marking the ultraviolet index as ZWQjk(ii) a Using the formula Q2YQjk＝a3×KQQjk+a4×HCQjk+a5×ZWQjkCalculating a second area value Q2Y of the small areaQjk；
P4: acquiring the number of drugstores selling the mask in a small area, and marking the number of the drugstores selling the mask as YDQjk(ii) a Acquiring the number of hospitals selling masks in a small area, and marking the number of hospitals selling masks as YYQjk(ii) a Using the formula Q3YQjk＝a6×YDQjk+a7×YYQjkCalculating to obtain a third region value Q3Y of the small regionQjk(ii) a In the formula, a1, a2, a3, a4, a5, a6 and a7 are all weight coefficients, and the values of a1, a2, a3, a4, a5, a6 and a7 are all larger than zero;
p5: calculating to obtain the resource value ZY of the small region by using a formulaQjkThe formula is specifically as follows:
p6: counting the total KZ of the mask in all small areasQjkArranging the total amount of the masks in the small area in a descending order to generate a first ordering list; sequencing the resource values of the small areas in a descending order to generate a second sequencing table;
p7: checking the positions of the same small area in the first sorting table and the second sorting table, wherein if the positions of the same small area in the first sorting table and the second sorting table are the same, the medical resources in the small area do not need to be scheduled; if the positions of the medical resources and the position of the medical resources are different, the medical resources in the small area need to be scheduled, and the medical resources in the small area are scheduled to the corresponding values in the first sequencing list;
step three: the reasonable distribution of medical resources is realized through the medical resource distribution system.
2. The medical resource allocation method based on big data analysis according to claim 1, wherein the user terminal is in communication connection with a cloud server of the medical resource allocation system, and the user terminal is in bidirectional connection with the cloud server;
the user terminal is used for registering and logging after a user inputs personal information and sending the personal information to the cloud server for storage; the personal information comprises the name, age, real-name authentication mobile phone number, personal photo and health condition of the user.
3. The medical resource allocation method based on big data analysis according to claim 1, wherein the data collection module is configured to collect environmental data of a small area, and send the environmental data to the resource scheduling module, wherein the environmental data includes an air quality index, a dust amount, and an ultraviolet index.
4. The medical resource allocation method based on big data analysis according to claim 1, wherein after a user logs in the medical resource allocation system through a user terminal, the user terminal issues medical resource requirements, wherein the medical resource requirements include names, types and quantities of medical resources;
the intelligent reservation module is used for intelligently reserving medical resources, and the intelligent reservation steps are as follows:
SS 1: acquiring the number of times that the user terminal sends a medical resource reservation request, and marking the number of times that the user terminal sends the medical resource reservation request as Ci, i is 1, 2, … …, m, i represents the user terminal;
SS 2: acquiring the residual amount Si of the mask corresponding to the user terminal and the appointment duration Ti of the medical resource appointment request; the medical resource reservation request is obtained by subtracting the time of receiving the medical resource reservation request by the cloud server from the current time of the system;
SS 3: calculating a medical resource requirement value Xi of the user terminal by using a formula Xi of Ci × c1+ Si × c2+ Ti × c 3;
SS 4: according to the medical resource emergency value of the user terminal, the medical resource reservation requests are subjected to descending order arrangement, and a longitudinal descending order arrangement table is generated after the descending order arrangement;
SS5：acquiring a small area where a user terminal is located, and acquiring a resource value Zi corresponding to the small areaQjk(ii) a Acquiring the corresponding medical resource reservation request times Qi in the small area where the user terminal is locatedQjkUsing the formula
Calculating to obtain an obstruction value ZAi of the medical resource in the small area where the user terminal is located; in the formula, c1, c2, c3, c4, c5 and c6 are all proportional coefficient fixed numerical values, and the values of c1, c2, c3, c4 and c5 are all larger than zero;
SS 6: carrying out ascending arrangement on the corresponding obstruction values in the small area where the user terminal is located, and generating a transverse ascending arrangement list after the ascending arrangement; the longitudinal descending sequence list and the transverse ascending sequence list are combined to form a comprehensive arrangement list of the two elements;
SS 7: the intelligent reservation module selects and sorts the medical resource reservation requests according to the comprehensive arrangement table, and the priority processing principle of the intelligent reservation module is an emergency value and a barrier value in sequence;
the positioning module is used for positioning the position information of the user terminal and sending the position information to the cloud server, and the cloud server receives the position information of the user terminal sent by the positioning module and forwards the position information to the distribution planning module.
5. The medical resource allocation method based on big data analysis according to claim 4, wherein the two elements are divided into a horizontal element and a vertical element, and the horizontal element and the vertical element respectively correspond to the emergency value of the user terminal and the obstruction value of the user terminal.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113673733A (en) * | 2021-08-27 | 2021-11-19 | 深圳创维－Rgb电子有限公司 | Laboratory appointment method and device, laboratory appointment equipment and storage medium |
| CN115759614A (en) * | 2022-11-15 | 2023-03-07 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| 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 |
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2020
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113673733A (en) * | 2021-08-27 | 2021-11-19 | 深圳创维－Rgb电子有限公司 | Laboratory appointment method and device, laboratory appointment equipment and storage medium |
| CN115759614A (en) * | 2022-11-15 | 2023-03-07 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| CN115759614B (en) * | 2022-11-15 | 2023-08-08 | 立昂旗云(广州)科技有限公司 | Resource management system and resource management method |
| 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 |
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