CN115641946B - Intelligent medical management system and method based on big data - Google Patents
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Abstract
The invention discloses an intelligent medical management system and method based on big data, which relate to the field of medical management and are used for solving the problems that the traditional medical management system cannot analyze users and doctors and cannot reasonably distribute, so that the matching degree of the users and the doctors is not high, adverse effects are generated, the distribution efficiency is low, and the appointment registering efficiency is influenced; the intelligent medical management system comprises a user registration module, a user management module, a medical management platform, a data storage module, a data acquisition module and a resource allocation module; the intelligent medical management system analyzes the user and the doctor by utilizing big data, thereby comprehensively considering the user and the doctor, and automatically distributing and reserving the user and the doctor, not only improving the efficiency of medical service management, but also having high intelligent degree, high matching degree and more reasonable distribution.
Description
Technical Field
The invention relates to the field of medical management, in particular to an intelligent medical management system and method based on big data.
Background
The informatization construction brings a lot of changes to the medical field, and the use of electronic medical records, advocations of mobile medical treatment and online reservation of medical services make the medical field enter a brand new era. With the development of the internet, mobile internet and intelligent hardware technology. Smartphones continue to spread and more people tend to use mobile smartterminals to obtain services. It can be seen that the information age products such as big data and cloud computing have produced a great impact on the architecture of traditional medical systems.
The patent with the application number of CN201611196942.7 discloses an intelligent registration appointment and management system of a hospital, which comprises an initialization module, a template calling module and a slot position distribution module, wherein the initialization module, the template calling module and the slot position distribution module are connected in sequence. According to the set register limit, reservation limit and other parameters, the out-call time of a doctor is divided into different slots, the reserved registered patient and the on-site registered patient are distributed to specific slots, and meanwhile, a registered patient list is generated. The medical management system cannot analyze the users and doctors, cannot reasonably and properly distribute the users, so that the users and the doctors are not high in matching degree, adverse effects are generated, and the distribution efficiency is low, so that the appointment registering efficiency is influenced.
Disclosure of Invention
In order to overcome the technical problems described above, the present invention aims to provide a smart medical management system and method based on big data: the medical information of the user is acquired through the user management module, the medical management platform obtains the distribution priority value through analyzing the medical information, the doctor information is analyzed through the data acquisition module to obtain the resource priority value, and accordingly the selected doctor information is obtained, the selected ordering information is matched with the selected doctor information through the resource distribution module, and the problems that an existing medical management system cannot analyze the user and the doctor and cannot reasonably distribute the user, the doctor matching degree of the user is low, adverse effects are generated, the distribution efficiency is low, and the appointment registering efficiency is affected are solved.
The aim of the invention can be achieved by the following technical scheme:
an intelligent medical management system based on big data, comprising:
the user registration module is used for submitting user information to register, sending the user information which is successfully registered to the user management module, wherein the user information comprises the name, the mobile phone number and the identity card number of the user, and the user registration module is also used for logging in by using the user information;
the user management module is used for carrying out login verification according to the user information and the registration information, and collecting medical information of the user, wherein the medical information comprises ordering information, a registration priority value ZY, a reservation priority value YY and a medical priority value LY, and the medical information is sent to the medical management platform;
the medical management platform is used for obtaining a data sorting instruction and a distribution priority value FY according to medical information, sending the data sorting instruction to the data storage module and sending the distribution priority value FY to the resource distribution module;
the data storage module is used for acquiring all doctor information of the category to which the corresponding medical project belongs after receiving the data arrangement instruction, and transmitting all doctor information qualified in matching to the data acquisition module;
the data acquisition module is used for acquiring selected doctor information according to the doctor information and sending the selected doctor information to the resource allocation module;
and the resource allocation module is used for obtaining the selected ordering information according to the allocation priority value FY and matching the selected ordering information with the selected doctor information.
As a further scheme of the invention: the specific process of login verification by the user management module is as follows:
marking the successfully registered user as a registered user according to the user information, and marking the user information of the registered user as registration information;
and comparing the user information with the registration information, if the user information is completely consistent with the registration information, verifying successfully, allowing login, and connecting the registration login module with the medical management platform through the Internet, if the user information is not completely consistent with the registration information, verifying unsuccessfully, not allowing login, and prohibiting the registration login module from being connected with the medical management platform through the Internet.
As a further scheme of the invention: the specific process of the user management module for collecting the medical information of the user is as follows:
acquiring the existing time and the current time of registration information, acquiring registration time ZC according to the time difference of the two time, acquiring the number of times of Internet connection between a registration login module and a medical management platform, marking the number of times as the visit number FC, and summing the registration time ZC and the visit number FC to obtain a registration priority value ZY;
acquiring ordering information of users, wherein the ordering information comprises medical items, user information, ordering time and reservation date, acquiring ordering information of all the users, classifying and collecting the ordering time according to the same reservation date, acquiring time difference between the ordering time and the reservation date, and marking the time difference as a reservation priority value YY;
obtaining medical treatment times YS, default times SS, order withdrawal times TS and change times GS of users according to user information in order information, substituting the medical treatment times YS, the default times SS, the order withdrawal times TS and the change times GS into a formula LY=q1×YS-q2×SS-q3×TS-q4×GS to obtain a medical treatment priority value LY, wherein q1, q2, q3 and q4 are preset weight coefficients of the medical treatment times YS, the default times SS, the order withdrawal times TS and the change times GS respectively, and q1+q2+q3+q4=1, q1=0.57, q2=0.31, q3=0.08 and q4=0.04; the medical treatment times YS represent the total times of medical treatment of a user, wherein the medical treatment times YS are increased by one after the user reservation is successful and the medical treatment is carried out in the reservation date, the default times SS represent the total times of medical treatment which is not carried out after the user reservation is successful, the default times SS are increased by one after the user reservation is successful and the medical treatment is not carried out in the reservation date, the order withdrawal times TS represent the total times of order withdrawal, the order withdrawal times TS are increased by one after the user reservation is successful and the order withdrawal is successful in the preset time, the change times GS represent the total times of user change reservation dates, and the change times GS are increased by one after the user reservation is successful and the reservation date is successfully changed in the preset time.
As a further scheme of the invention: the specific process of the data acquisition module for obtaining the selected doctor information is as follows:
after receiving the data acquisition instruction, acquiring doctor evaluation scores, doctor's service years, successful reservation number and reservation name of a doctor through doctor information, and marking the doctor evaluation scores, the slave annual value CN, the about person value YR and the about quota value YE respectively;
substituting the medical score YP, the annual value CN, the about person value YR and the about amount value YE into the formula zy=d1×yp+d2×cn-d3×yp+d4×ye to obtain a resource priority value ZY, wherein d1, d2, d3, d4 are the medical scores YP,
Taking d1=0.23, d2=0.30, d3=0.28, d4=0.19 from preset scaling factors of the year value CN, the about person value YR, and the about amount value YE, and d1+d2+d3+d4=1;
sequencing doctor information according to the sequence of the resource priority value ZY from large to small, and marking the doctor information at the first position as selected doctor information;
and sending the selected doctor information to the resource allocation module.
As a further scheme of the invention: the specific process of matching the selected ordering information with the selected doctor information by the resource allocation module is as follows:
ordering the order information according to the order of the distribution priority value FY from large to small, marking the information order information positioned at the first position as selected order information, generating a data acquisition instruction at the same time, and sending the data acquisition instruction to a data acquisition module;
matching the selected ordering information with the selected doctor information fed back by the data acquisition module, successfully generating a reservation success instruction by matching, and sending the reservation success instruction to the registration login module and the data acquisition module.
As a further scheme of the invention: the intelligent medical management method based on big data comprises the following steps:
step one: the user submits user information to register by using the user registration module, and sends the user information which is successfully registered to the user management module;
step two: the user management module marks the successfully registered user as a registered user according to the user information, and marks the user information of the registered user as registration information;
step three: the user management module compares the user information with the registration information, if the user information is completely consistent with the registration information, the authentication is successful, the registration login module is allowed to be connected with the medical management platform through the Internet, and if the user information is not completely consistent with the registration information, the authentication is unsuccessful, the registration is not allowed, and the registration login module is forbidden to be connected with the medical management platform through the Internet;
step four: the user management module acquires the existing time and the current time of registration information, acquires the registration time ZC according to the time difference of the existing time and the current time, acquires the number of times of internet connection between the registration login module and the medical management platform, marks the number of times as the visit number of times FC, and sums the registration time ZC and the visit number of times FC to obtain a registration priority value ZY;
step five: the user management module collects the ordering information of the users, wherein the ordering information comprises medical items, user information, ordering time and reservation date, obtains the ordering information of all the users, classifies and gathers the ordering time according to the same reservation date, obtains the time difference between the ordering time and the reservation date, and marks the time difference as a reservation priority value YY;
step six: the user management module obtains the medical treatment times YS, the default times SS, the order return times TS and the modification times GS of the user according to the user information in the order-placing information, substitutes the medical treatment times YS, the default times SS, the order return times TS and the modification times GS into a formula LY=q1×YS-q2×SS-q3×TS-q4×GS to obtain a medical treatment priority value LY, wherein q1, q2, q3 and q4 are preset weight coefficients of the medical treatment times YS, the default times SS, the order return times TS and the modification times GS respectively, and q1+q2+q3+q4=1, q1=0.57, q2=0.31, q3=0.08 and q4=0.04; the medical treatment times YS represent the total times of medical treatment of a user, wherein the medical treatment times YS are increased by one after the user reservation is successful and the medical treatment is carried out in the reservation date, the default times SS represent the total times of medical treatment which is not carried out after the user reservation is successful, the default times SS are increased by one after the user reservation is successful and the medical treatment is not carried out in the reservation date, the order withdrawal times TS represent the total times of order withdrawal, the order withdrawal times TS are increased by one after the user reservation is successful and the order withdrawal is successful in the preset time, the change times GS represent the total times of user change reservation date, and the change times GS are increased by one after the user reservation is successful and the reservation date is successfully changed in the preset time;
step seven: the user management module sends the order information, the registration priority value ZY, the reservation priority value YY and the medical priority value LY to the medical management platform;
step eight: the medical management platform generates a data arrangement instruction according to the medical project after receiving the order information, and sends the data arrangement instruction to the data storage module;
step nine: after receiving the registration priority value ZY, the reservation priority value YY and the medical priority value LY, the medical management platform substitutes the three values into a formulaObtain the distribution priority value FY, wherein alpha, beta and gammaPreset weight factors of a registration priority value ZY, a reservation priority value YY and a medical priority value LY respectively, wherein gamma is larger than beta is larger than alpha and larger than 2.536;
step ten: the medical management platform sends the allocation priority value FY to the resource allocation module;
step eleven: the resource allocation module sorts the order information according to the order of the allocation priority value FY from large to small, marks the information order information positioned at the first position as the selected order information, simultaneously generates a data acquisition instruction, and sends the data acquisition instruction to the data acquisition module;
step twelve: the data storage module receives the data arrangement instruction and then acquires all doctor information of the class to which the corresponding medical project belongs, wherein the doctor information comprises doctor names, doctor evaluation scores, doctor practical years and a scheduling table, the matching is carried out according to the scheduling table and the reservation time, all doctor information which is qualified in matching is sent to the data acquisition module, and the qualified in matching indicates that a doctor is on duty when the reservation date;
step thirteen: the data acquisition module receives the data acquisition instruction, acquires doctor evaluation scores, doctor's years of practice, successful reservation number and reservation name of doctors through doctor information, and marks the doctor evaluation scores YP, the slave annual value CN, the about person value YR and the about value YE respectively;
step fourteen: the data acquisition module substitutes the medical score YP, the annual value CN, the about person value YR and the about forehead value YE into a formula zy=d1×yp+d2×cn-d3×yp+d4×ye to obtain a resource priority value ZY, wherein d1, d2, d3, d4 are preset proportionality coefficients of the medical score YP, the annual value CN, the about person value YR and the about forehead value YE respectively, d1+d2+d3+d4=1 is taken, d1=0.23, d2=0.30, d3=0.28, d4=0.19;
fifteen steps: the data acquisition module sorts the doctor information according to the sequence of the resource priority value ZY from high to low, and marks the doctor information at the first position as selected doctor information;
step sixteen: the data acquisition module sends the selected doctor information to the resource allocation module;
seventeenth step: the resource allocation module matches the selected ordering information with the selected doctor information fed back by the data acquisition module, successfully generates a reservation success instruction after matching, and sends the reservation success instruction to the registration login module and the data acquisition module;
eighteenth step: the user registration module displays a reservation success instruction and doctor information after receiving the reservation success instruction;
nineteenth step: the data acquisition module receives the reservation success instruction and then adds one to the person value YR of the corresponding doctor information;
twenty steps: after medical treatment, the user evaluates doctor evaluation scores in corresponding doctor information by using a user registration module within a preset time to generate user evaluation scores, and the user evaluation scores are sent to a data storage module, wherein the score is 5, the score is 3, the score is 1, and the score is defaulted to be good when the preset time is exceeded;
step twenty-one: and after receiving the user evaluation score, the data storage module updates the doctor evaluation score in such a way that the doctor evaluation score=the sum of the doctor evaluation score and the doctor evaluation score.
The invention has the beneficial effects that:
according to the intelligent medical management system and method based on big data, medical information of a user is collected through a user management module, the medical information comprises ordering information, registration priority values, reservation priority values and medical priority values, the registration priority values represent the longer registration time and the more and more priority distribution of access times, the reservation priority values represent the earlier ordering time and the more priority distribution of the user, the medical priority values represent the influence of behaviors after reservation success of the user on priority distribution, a medical management platform obtains distribution priority values through analysis of the medical information, the more corresponding users with larger distribution priority values are preferentially distributed according to the distribution priority values, and the more probability of reservation success is higher, the doctor information is analyzed through a data collection module to obtain resource priority values, so that selected doctor information is obtained, and the selected ordering information is matched with the selected doctor information through a resource distribution module; the intelligent medical management system analyzes the user and the doctor by utilizing big data, thereby comprehensively considering the user and the doctor, and automatically distributing and reserving the user and the doctor, not only improving the efficiency of medical service management, but also having high intelligent degree, high matching degree and more reasonable distribution.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of a big data based intelligent medical management system in the present invention.
Detailed Description
The technical solutions of the embodiments of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention, and it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1:
referring to fig. 1, the present embodiment is an intelligent medical management system based on big data, including:
the user registration module is used for submitting user information to register, sending the user information which is successfully registered to the user management module, wherein the user information comprises the name, the mobile phone number and the identity card number of the user, and the user registration module is also used for logging in by using the user information;
the user management module is used for carrying out login verification according to the user information and the registration information, and collecting medical information of the user, wherein the medical information comprises ordering information, a registration priority value ZY, a reservation priority value YY and a medical priority value LY, and the medical information is sent to the medical management platform;
the medical management platform is used for obtaining a data sorting instruction and a distribution priority value FY according to medical information, sending the data sorting instruction to the data storage module and sending the distribution priority value FY to the resource distribution module;
the data storage module is used for acquiring all doctor information of the category to which the corresponding medical project belongs after receiving the data arrangement instruction, and transmitting all doctor information qualified in matching to the data acquisition module;
the data acquisition module is used for acquiring selected doctor information according to the doctor information and sending the selected doctor information to the resource allocation module;
and the resource allocation module is used for obtaining the selected ordering information according to the allocation priority value FY and matching the selected ordering information with the selected doctor information.
Example 2:
referring to fig. 1, the embodiment is an intelligent medical management method based on big data, which includes the following steps:
step one: the user submits user information to register by using the user registration module, and sends the user information which is successfully registered to the user management module;
step two: the user management module marks the successfully registered user as a registered user according to the user information, and marks the user information of the registered user as registration information;
step three: the user management module compares the user information with the registration information, if the user information is completely consistent with the registration information, the authentication is successful, the registration login module is allowed to be connected with the medical management platform through the Internet, and if the user information is not completely consistent with the registration information, the authentication is unsuccessful, the registration is not allowed, and the registration login module is forbidden to be connected with the medical management platform through the Internet;
step four: the user management module acquires the existing time and the current time of registration information, acquires the registration time ZC according to the time difference of the existing time and the current time, acquires the number of times of internet connection between the registration login module and the medical management platform, marks the number of times as the visit number of times FC, and sums the registration time ZC and the visit number of times FC to obtain a registration priority value ZY;
step five: the user management module collects the ordering information of the users, wherein the ordering information comprises medical items, user information, ordering time and reservation date, obtains the ordering information of all the users, classifies and gathers the ordering time according to the same reservation date, obtains the time difference between the ordering time and the reservation date, and marks the time difference as a reservation priority value YY;
step six: the user management module obtains the medical treatment times YS, the default times SS, the order return times TS and the modification times GS of the user according to the user information in the order-placing information, substitutes the medical treatment times YS, the default times SS, the order return times TS and the modification times GS into a formula LY=q1×YS-q2×SS-q3×TS-q4×GS to obtain a medical treatment priority value LY, wherein q1, q2, q3 and q4 are preset weight coefficients of the medical treatment times YS, the default times SS, the order return times TS and the modification times GS respectively, and q1+q2+q3+q4=1, q1=0.57, q2=0.31, q3=0.08 and q4=0.04; the medical treatment times YS represent the total times of medical treatment of a user, wherein the medical treatment times YS are increased by one after the user reservation is successful and the medical treatment is carried out in the reservation date, the default times SS represent the total times of medical treatment which is not carried out after the user reservation is successful, the default times SS are increased by one after the user reservation is successful and the medical treatment is not carried out in the reservation date, the order withdrawal times TS represent the total times of order withdrawal, the order withdrawal times TS are increased by one after the user reservation is successful and the order withdrawal is successful in the preset time, the change times GS represent the total times of user change reservation date, and the change times GS are increased by one after the user reservation is successful and the reservation date is successfully changed in the preset time;
step seven: the user management module sends the order information, the registration priority value ZY, the reservation priority value YY and the medical priority value LY to the medical management platform;
step eight: the medical management platform generates a data arrangement instruction according to the medical project after receiving the order information, and sends the data arrangement instruction to the data storage module;
step nine: after receiving the registration priority value ZY, the reservation priority value YY and the medical priority value LY, the medical management platform substitutes the three values into a formulaObtaining a distribution priority value FY, wherein alpha, beta and gamma are preset weight factors of a registration priority value ZY, a reservation priority value YY and a medical priority value LY respectively, and gamma is larger than beta than alpha is larger than 2.536;
step ten: the medical management platform sends the allocation priority value FY to the resource allocation module;
step eleven: the resource allocation module sorts the order information according to the order of the allocation priority value FY from large to small, marks the information order information positioned at the first position as the selected order information, simultaneously generates a data acquisition instruction, and sends the data acquisition instruction to the data acquisition module;
step twelve: the data storage module receives the data arrangement instruction and then acquires all doctor information of the class to which the corresponding medical project belongs, wherein the doctor information comprises doctor names, doctor evaluation scores, doctor practical years and a scheduling table, the matching is carried out according to the scheduling table and the reservation time, all doctor information which is qualified in matching is sent to the data acquisition module, and the qualified in matching indicates that a doctor is on duty when the reservation date;
step thirteen: the data acquisition module receives the data acquisition instruction, acquires doctor evaluation scores, doctor's years of practice, successful reservation number and reservation name of doctors through doctor information, and marks the doctor evaluation scores YP, the slave annual value CN, the about person value YR and the about value YE respectively;
step fourteen: the data acquisition module substitutes the medical score YP, the annual value CN, the about person value YR and the about forehead value YE into a formula zy=d1×yp+d2×cn-d3×yp+d4×ye to obtain a resource priority value ZY, wherein d1, d2, d3, d4 are preset proportionality coefficients of the medical score YP, the annual value CN, the about person value YR and the about forehead value YE respectively, d1+d2+d3+d4=1 is taken, d1=0.23, d2=0.30, d3=0.28, d4=0.19;
fifteen steps: the data acquisition module sorts the doctor information according to the sequence of the resource priority value ZY from high to low, and marks the doctor information at the first position as selected doctor information;
step sixteen: the data acquisition module sends the selected doctor information to the resource allocation module;
seventeenth step: the resource allocation module matches the selected ordering information with the selected doctor information fed back by the data acquisition module, successfully generates a reservation success instruction after matching, and sends the reservation success instruction to the registration login module and the data acquisition module;
eighteenth step: the user registration module displays a reservation success instruction and doctor information after receiving the reservation success instruction;
nineteenth step: the data acquisition module receives the reservation success instruction and then adds one to the person value YR of the corresponding doctor information;
twenty steps: after medical treatment, the user evaluates doctor evaluation scores in corresponding doctor information by using a user registration module within a preset time to generate user evaluation scores, and the user evaluation scores are sent to a data storage module, wherein the score is 5, the score is 3, the score is 1, and the score is defaulted to be good when the preset time is exceeded;
step twenty-one: and after receiving the user evaluation score, the data storage module updates the doctor evaluation score in such a way that the doctor evaluation score=the sum of the doctor evaluation score and the doctor evaluation score.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative and explanatory of the invention, as various modifications and additions may be made to the particular embodiments described, or in a similar manner, by those skilled in the art, without departing from the scope of the invention or exceeding the scope of the invention as defined in the claims.
Claims (1)
1. The intelligent medical management method based on the big data is characterized by being realized through an intelligent medical management system based on the big data, and comprises the following steps of:
step one: the user submits user information to register by using the user registration module, and sends the user information which is successfully registered to the user management module;
step two: the user management module marks the successfully registered user as a registered user according to the user information, and marks the user information of the registered user as registration information;
step three: the user management module compares the user information with the registration information, if the user information is completely consistent with the registration information, the authentication is successful, the registration login module is allowed to be connected with the medical management platform through the Internet, and if the user information is not completely consistent with the registration information, the authentication is unsuccessful, the registration is not allowed, and the registration login module is forbidden to be connected with the medical management platform through the Internet;
step four: the user management module acquires the existing time and the current time of registration information, acquires the registration time ZC according to the time difference of the existing time and the current time, acquires the number of times of internet connection between the registration login module and the medical management platform, marks the number of times as the visit number of times FC, and sums the registration time ZC and the visit number of times FC to obtain a registration priority value ZY;
step five: the user management module collects the ordering information of the users, wherein the ordering information comprises medical items, user information, ordering time and reservation date, obtains the ordering information of all the users, classifies and gathers the ordering time according to the same reservation date, obtains the time difference between the ordering time and the reservation date, and marks the time difference as a reservation priority value YY;
step six: the user management module obtains the medical treatment times YS, the default times SS, the order return times TS and the modification times GS of the user according to the user information in the order-placing information, substitutes the medical treatment times YS, the default times SS, the order return times TS and the modification times GS into a formula LY=q1×YS-q2×SS-q3×TS-q4×GS to obtain a medical treatment priority value LY, wherein q1, q2, q3 and q4 are preset weight coefficients of the medical treatment times YS, the default times SS, the order return times TS and the modification times GS respectively, and q1+q2+q3+q4=1, q1=0.57, q2=0.31, q3=0.08 and q4=0.04; the medical treatment times YS represent the total times of medical treatment of a user, wherein the medical treatment times YS are increased by one after the user reservation is successful and the medical treatment is carried out in the reservation date, the default times SS represent the total times of medical treatment which is not carried out after the user reservation is successful, the default times SS are increased by one after the user reservation is successful and the medical treatment is not carried out in the reservation date, the order withdrawal times TS represent the total times of order withdrawal, the order withdrawal times TS are increased by one after the user reservation is successful and the order withdrawal is successful in the preset time, the change times GS represent the total times of user change reservation date, and the change times GS are increased by one after the user reservation is successful and the reservation date is successfully changed in the preset time;
step seven: the user management module sends the order information, the registration priority value ZY, the reservation priority value YY and the medical priority value LY to the medical management platform;
step eight: the medical management platform generates a data arrangement instruction according to the medical project after receiving the order information, and sends the data arrangement instruction to the data storage module;
step nine: after receiving the registration priority value ZY, the reservation priority value YY and the medical priority value LY, the medical management platform substitutes the three values into a formulaObtaining a distribution priority value FY, wherein alpha, beta and gamma are preset weight factors of a registration priority value ZY, a reservation priority value YY and a medical priority value LY respectively, and gamma is larger than beta than alpha is larger than 2.536;
step ten: the medical management platform sends the allocation priority value FY to the resource allocation module;
step eleven: the resource allocation module sorts the order information according to the order of the allocation priority value FY from large to small, marks the information order information positioned at the first position as the selected order information, simultaneously generates a data acquisition instruction, and sends the data acquisition instruction to the data acquisition module;
step twelve: the data storage module receives the data arrangement instruction and then acquires all doctor information of the class to which the corresponding medical project belongs, wherein the doctor information comprises doctor names, doctor evaluation scores, doctor practical years and a scheduling table, the matching is carried out according to the scheduling table and the reservation time, all doctor information which is qualified in matching is sent to the data acquisition module, and the qualified in matching indicates that a doctor is on duty when the reservation date;
step thirteen: the data acquisition module receives the data acquisition instruction, acquires doctor evaluation scores, doctor's years of practice, successful reservation number and reservation name of doctors through doctor information, and marks the doctor evaluation scores YP, the slave annual value CN, the about person value YR and the about value YE respectively;
step fourteen: the data acquisition module substitutes the medical score YP, the annual value CN, the about person value YR and the about forehead value YE into a formula zy=d1×yp+d2×cn-d3×yp+d4×ye to obtain a resource priority value ZY, wherein d1, d2, d3, d4 are preset proportionality coefficients of the medical score YP, the annual value CN, the about person value YR and the about forehead value YE respectively, d1+d2+d3+d4=1 is taken, d1=0.23, d2=0.30, d3=0.28, d4=0.19;
fifteen steps: the data acquisition module sorts the doctor information according to the sequence of the resource priority value ZY from high to low, and marks the doctor information at the first position as selected doctor information;
step sixteen: the data acquisition module sends the selected doctor information to the resource allocation module;
seventeenth step: the resource allocation module matches the selected ordering information with the selected doctor information fed back by the data acquisition module, successfully generates a reservation success instruction after matching, and sends the reservation success instruction to the registration login module and the data acquisition module;
eighteenth step: the user registration module displays a reservation success instruction and doctor information after receiving the reservation success instruction;
nineteenth step: the data acquisition module receives the reservation success instruction and then adds one to the person value YR of the corresponding doctor information;
twenty steps: after medical treatment, the user evaluates doctor evaluation scores in corresponding doctor information by using a user registration module within a preset time to generate user evaluation scores, and the user evaluation scores are sent to a data storage module, wherein the score is 5, the score is 3, the score is 1, and the score is defaulted to be good when the preset time is exceeded;
step twenty-one: the data storage module updates the doctor evaluation score after receiving the user evaluation score in such a way that the doctor evaluation score=the sum of the doctor evaluation score and the doctor evaluation score;
the intelligent medical management system based on big data comprises:
the user registration module is used for submitting user information to register by a user, sending the user information which is successfully registered to the user management module, and logging in by the user by using the user information;
the user management module is used for carrying out login verification according to the user information and the registration information, and collecting medical information of the user, wherein the medical information comprises ordering information, registration priority value, reservation priority value and medical priority value, and the medical information is sent to the medical management platform;
the medical management platform is used for obtaining a data arrangement instruction and an allocation priority value according to medical information, sending the data arrangement instruction to the data storage module and sending the allocation priority value to the resource allocation module;
the data storage module is used for acquiring all doctor information of the category to which the corresponding medical project belongs after receiving the data arrangement instruction, and transmitting all doctor information qualified in matching to the data acquisition module;
the data acquisition module is used for acquiring selected doctor information according to the doctor information and sending the selected doctor information to the resource allocation module;
the resource allocation module obtains selected order information according to the allocation priority value and matches the selected order information with selected doctor information;
the specific process of login verification by the user management module is as follows:
marking the successfully registered user as a registered user according to the user information, and marking the user information of the registered user as registration information;
comparing the user information with the registration information, if the user information is completely consistent with the registration information, verifying successfully, allowing login, and connecting the registration login module with the medical management platform through the Internet, if the user information is not completely consistent with the registration information, verifying unsuccessfully, not allowing login, and prohibiting the registration login module from connecting with the medical management platform through the Internet;
the specific process of the user management module for collecting the medical information of the user is as follows:
acquiring the existing time and the current time of registration information, acquiring registration time according to the time difference of the existing time and the current time, acquiring the number of times of Internet connection between a registration login module and a medical management platform, marking the number of times as the number of access, and summing the registration time and the number of access to obtain a registration priority value;
acquiring ordering information of users, wherein the ordering information comprises medical items, user information, ordering time and reservation date, acquiring ordering information of all the users, classifying and collecting the ordering time according to the same reservation date, acquiring time difference between the ordering time and the reservation date, and marking the time difference as a reservation priority value;
acquiring the medical treatment times, the default times, the return times and the change times of the user according to the user information in the order information, and analyzing the medical treatment times, the default times, the return times and the change times to obtain medical treatment priority values;
the specific process of the data acquisition module for obtaining the selected doctor information is as follows:
after receiving the data acquisition instruction, acquiring doctor evaluation scores, doctor's years of practice, successful reservation number and reservation name of a doctor through doctor information, and marking the doctor evaluation scores, the slave years, the about person value and the about value respectively;
analyzing the medical score, the annual value, the about person value and the about amount value to obtain a resource priority value;
sorting doctor information according to the sequence of the resource priority values from high to low, and marking the doctor information at the first position as selected doctor information;
transmitting the selected doctor information to a resource allocation module;
the specific process of matching the selected ordering information with the selected doctor information by the resource allocation module is as follows:
ordering the order information according to the order of the distribution priority values from large to small, marking the information order information positioned at the first position as selected order information, generating a data acquisition instruction at the same time, and sending the data acquisition instruction to a data acquisition module;
matching the selected ordering information with the selected doctor information fed back by the data acquisition module, successfully generating a reservation success instruction by matching, and sending the reservation success instruction to the registration login module and the data acquisition module.
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