CN115829621B - Medical instrument marketing recommendation method and system - Google Patents
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Abstract
The invention provides a medical instrument marketing recommendation method and system, which are characterized in that a micro-service module is deployed in a small program of a medical institution or a hospital to collect registration information and a payment bill, a background system obtains corresponding medical instrument marketing data through analyzing and processing the registration information and/or the payment bill, obtains medical instrument demand information of the corresponding medical institution/hospital after counting the medical instrument marketing data, and generates a medical instrument marketing recommendation list for the medical instrument producer through matching the medical instrument demand information with the medical instrument producer, thereby realizing automatic statistical analysis of the medical instrument marketing data, reducing the labor investment of the medical instrument producer and helping the medical instrument producer to determine marketing objects.
Description
Technical Field
The invention relates to the technical field of drug-mechanical marketing management systems, in particular to a drug-mechanical marketing recommendation method and system.
Background
Pharmaceutical appliance manufacturers gain benefits through the production of medicines and medical appliances required by people, and medical institutions, hospitals and the like are main places for people to purchase pharmaceutical appliances. Different clinics with medical technical advantages can lead to different numbers of patients attracted by the same type of clinic in different hospitals, and further different marketing amounts of medical instruments for treating related diseases are affected. In order to market out the medical instruments, the medical instrument production enterprises need to communicate with different medical institutions/hospitals in a butt joint mode, and in order to further improve marketing quantity of the medical instruments, the marketing condition of certain medical instruments in the medical institutions and the hospitals is very necessary to be known, and the medical instrument production enterprises can be helped to know demands of the medical institutions and the hospitals on certain medical instruments. At present, the work can only be manually researched and understood, and more manpower and time are needed to be input, so that medical institutions and hospitals with higher requirements on produced medical instruments are difficult to determine by medical instrument production enterprises, and the production and management benefits are difficult to improve.
Disclosure of Invention
Accordingly, it is an object of the present invention to provide a method for providing a medicated marketing recommendation to overcome or at least partially solve the above-mentioned problems of the prior art.
In order to achieve the above object, a first aspect of the present invention provides a pharmaceutical tool marketing recommendation method, comprising the steps of:
s101, deploying a micro-service module to a target applet, wherein the target applet is an applet of a medical institution or a hospital, and the target applet at least can realize on-line registration and on-line checkout functions;
s102, when a user terminal sends a registration request to a third-party server or receives a bill paid by a medicine instrument from the third-party server, the micro-service module records at least one of registration information and the bill paid;
s103, the micro-service module sends the registration information and/or the bill to a background system, and the background system analyzes and processes the registration information and/or the bill to obtain corresponding medical instrument marketing data;
s104, the background system counts the marketing data of the medical instruments based on registration information and/or the sources of bill payment to obtain the medical instrument demand information of the corresponding medical institution/hospital;
s105, the background system is matched with the medical instrument production enterprises according to the medical instrument demand information of different medical institutions/hospitals, and a medical instrument marketing recommendation list is generated for the medical instrument production enterprises.
Further, before step S101, the method further includes the following steps:
s201, acquiring privacy data acquisition limiting information of a target applet;
s202, acquiring limit information according to privacy data of the target applet, and selecting different micro service modules to be deployed to the target applet.
Further, when the micro service module records registration information and a bill for payment at the same time and sends the registration information and the bill for payment to the background system, the background system processes the registration information and the bill for payment, and specifically comprises the following steps:
s301, extracting the diagnosis room information from registration information through a keyword extraction algorithm;
s302, extracting the information of the medicine to be paid from the bill to be paid through a keyword extraction algorithm;
s303, inquiring corresponding medical institution/hospital records in a medical institution sales database according to the target applet information deployed by the micro-service module for uploading the data, and updating medical institution sales data in the medical institution/hospital records according to the medical institution information to be paid;
s304, updating the associated medical instrument information recorded in the corresponding consulting room and the sales data of the corresponding medical instrument in the consulting room database according to the consulting room information and the medical instrument information.
Further, after step S304, the method further includes the following steps:
s401, based on data stored in a database of the consulting rooms, calculating sales data of associated medical instruments of each consulting room in different historical periods with the same time length;
s402, calculating median values of corresponding medicine marketing data based on sales data of associated medicines in different historical periods, and finishing calculation of the median values of sales data of all associated medicines in each consulting room;
s403, creating corresponding counters for different consulting rooms, and enabling the counters to update a medicine sales database according to the median value of sales data of each associated medicine of the consulting rooms when the counters are triggered.
Further, when the micro service module only records registration information and sends the registration information to the background system, the background system processes the registration information, and specifically comprises the following steps:
s501, extracting the diagnosis room information from registration information through a keyword extraction algorithm;
s502, every time information of a consulting room is extracted, the counter corresponding to the consulting room counts up by 1, and when the counter counts up to be greater than a preset counting threshold value, the counter is triggered;
s503, when the counter is triggered, the counter is cleared, and the counting is restarted.
Further, before calculating the median value of the sales data of the associated medicine in the different periods based on the sales data of the associated medicine, the method further comprises the following steps:
s601, calculating the distance value of sales data of any two historical periods according to sales data of the same medical instrument in different historical periods;
s602, inputting the distance value into a local outlier factor algorithm to calculate outlier factors corresponding to marketing data of each historical period of the same medicine;
s603, comparing the outlier factors corresponding to the marketing data of each historical period with a preset threshold, and if the outlier factors are larger than the preset threshold, not considering the marketing data corresponding to the outlier factors when calculating the median of the marketing data.
Further, when the micro service module only records the bill for payment and sends the bill to the background system, the background system processes the bill for payment, and specifically comprises the following steps:
s701, extracting the information of the medicine to be paid from the bill to be paid through a keyword extraction algorithm;
s702, inquiring corresponding medical institution/hospital records in a medical institution sales database according to target applet information deployed by the micro-service module for uploading data, and updating medical institution marketing data in the medical institution/hospital records according to the medical institution information to be paid.
Further, the step S104 specifically includes the following steps:
s801, a background system counts sales data of different medical instruments in a preset time interval of each medical institution/hospital based on a medical instrument sales database;
s802, the background system sorts different medical instruments of the same medical institution/hospital according to sales data from large to small, and thus medical instrument demand information is obtained.
Further, the step S105 specifically includes the following steps:
s901, a background system acquires marketing product information and expected sales volume information of a drug manufacturing enterprise;
s902, matching the medical instrument demand information according to the marketing product information, and adding medical institutions/hospitals corresponding to the matched medical instrument demand information into a primary screening list;
s903, performing secondary screening on the medical institutions/hospitals in the primary screening list, and removing medical institutions/hospitals with the sales data of the medical instruments lower than the expected sales quantity from the primary screening list to obtain a medical instrument marketing recommended list.
The second aspect of the invention provides a pharmaceutical tool marketing recommendation system, which comprises a deployment module, a micro-service module and a background system,
the deployment module is used for deploying the micro-service module to a target applet, wherein the target applet is an applet of a medical institution and a hospital, and the target applet at least can realize the functions of on-line registration and on-line checkout;
the micro-service module is used for recording at least one of registration information and bill payment when the user terminal sends a registration request to the third-party server or receives the bill payment of medicines and medicines from the third-party server;
the background system is used for analyzing and processing the registration information and/or the bill payment when the micro-service module sends the registration information and/or the bill payment to the background system, and corresponding medical instrument marketing data are obtained.
Compared with the prior art, the invention has the beneficial effects that:
according to the medical instrument marketing recommendation method and system, the micro-service module is deployed in the small program of the medical institution/hospital to collect registration information and payment bills, the background system obtains corresponding medical instrument marketing data through analysis and processing of the registration information and/or the payment bills, obtains medical instrument demand information of the corresponding medical institution/hospital after statistics of the medical instrument marketing data, and generates a medical instrument marketing recommendation list for the medical instrument producer through matching of the medical instrument demand information, so that automatic statistical analysis of the medical instrument marketing data is achieved, labor investment of the medical instrument producer is reduced, and the medical instrument producer is helped to determine marketing objects.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only preferred embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic overall flow chart of a pharmaceutical marketing recommendation method according to an embodiment of the present invention.
Detailed Description
The principles and features of the present invention are described below with reference to the drawings, the illustrated embodiments are provided for the purpose of illustrating the invention and are not to be construed as limiting the scope of the invention.
Referring to fig. 1, the present embodiment provides a pharmaceutical marketing recommendation method, which includes the following steps:
s101, deploying the micro-service module to a target applet, wherein the target applet is an applet of a medical institution or a hospital, and a user can realize online registration at the corresponding medical institution/hospital through the target applet and online checkout payment of a medical instrument bill in a code scanning mode and the like.
S102, when the user terminal sends a registration request to the third-party server or receives a bill paid by a medicine instrument from the third-party server, the micro-service module records at least one of registration information and the bill paid.
S103, the micro-service module sends the registration information and/or the bill to a background system, and the background system analyzes and processes the registration information and/or the bill to obtain corresponding drug marketing data.
And S104, the background system counts the marketing data of the medical instruments based on registration information and/or the sources of bill payment to obtain the medical instrument demand information of the corresponding medical institution/hospital.
S105, the background system is matched with the medical instrument production enterprises according to the medical instrument demand information of different medical institutions/hospitals, and a medical instrument marketing recommendation list is generated for the medical instrument production enterprises.
According to the medical instrument marketing recommendation method provided by the embodiment, the micro-service modules are deployed on official applets of different medical institutions/hospitals, registration information and/or payment bills of users are collected and transmitted to the background system, the background system performs analysis processing according to the registration information and/or the payment bills, corresponding medical instrument marketing data are obtained, statistics is performed based on the medical instrument marketing data, medical instrument demand information of the corresponding medical institutions or hospitals is obtained, medical instrument production enterprises are matched according to the medical instrument demand information, and a medical instrument marketing recommendation list is generated for the medical instrument production enterprises, so that the medical instrument production enterprises can be helped to quickly master the medical instrument demands of the medical institutions/hospitals under the condition that excessive manpower is not required to be input, and the medical instrument marketing activities can be developed in a targeted manner.
As a preferred example, before step S101, the method further includes the steps of:
s201, acquiring the private data acquisition limit information of the target applet.
S202, acquiring limit information according to privacy data of the target applet, and selecting different micro service modules to be deployed to the target applet. It will be appreciated that different target applets may have different limitations on the third party's acquisition of data to avoid revealing of user privacy data. In this embodiment, before the micro-service module is deployed to the target applet, the target applet acquires the restriction information for the private data to know which data the target applet can acquire, and deploys the micro-service module with the function of acquiring the type of data to the corresponding applet according to the type of the data that can be acquired. The micro service module with the multiple data type acquisition functions is larger in size than the micro service module capable of acquiring only single data, and the micro service module with the corresponding data acquisition capability adapted to different target applets can reduce the influence on the operation of the target applets and improve the deployment efficiency.
When the micro-service module can record registration information and a bill payment bill from the target applet and send the registration information and the bill payment bill to the background system, the background system processes the registration information and the bill payment bill, and specifically comprises the following steps:
s301, extracting the diagnosis room information from registration information through a keyword extraction algorithm. The consulting room information is the consulting room related information registered for consulting by the user and at least comprises the consulting room name.
S302, extracting the pharmacy information to be paid from the bill to be paid through a keyword extraction algorithm. The medication information includes at least the name, number, and unit price of the medication.
S303, inquiring corresponding medical institution/hospital records in the medical institution sales database according to the target applet information deployed by the micro-service module for uploading the data, and updating medical institution sales data in the medical institution/hospital records according to the medical institution information to be paid. The medical instrument sales database stores sales data of various medical instruments in different medical institutions and hospitals.
S304, updating the associated medical instrument information recorded in the corresponding consulting room and the sales data of the corresponding medical instrument in the consulting room database according to the consulting room information and the medical instrument information. The database of the consulting room records the relevant information of various relevant medicines and instruments under different consulting rooms and sales data of the corresponding medicines and instruments.
After step S304, the method further includes the steps of:
s401, based on data stored in a database of the consulting rooms, sales data of associated medical instruments of each consulting room in different historical periods with the same time length are counted. The sales data is mainly sales volume.
And S402, calculating the median of the marketing data of the corresponding pharmacy based on the sales data of the associated pharmacy in different historical periods, and completing the calculation of the median of the sales data of all the associated pharmacy in each consulting room.
S403, creating corresponding counters for different consulting rooms, and enabling the counters to update a medicine sales database according to the median value of sales data of each associated medicine of the consulting rooms when the counters are triggered.
When the micro-service module only records registration information and sends the registration information to the background system, the background system processes the registration information and specifically comprises the following steps:
s501, extracting the diagnosis room information from registration information through a keyword extraction algorithm.
S502, every time information of a consulting room is extracted, the counter corresponding to the consulting room counts by 1, and when the counter count is greater than a preset count threshold value, the counter is triggered.
S503, when the counter is triggered, the counter is cleared, and the counting is restarted.
For the target applet which limits the micro-service module to only acquire the registration information of the user, the specific sales of the medical instruments can not be directly mastered through the bill payment, so that statistics are replaced by the median of sales data of the same medical instruments in the same clinical laboratory in a period of historical time. The background system counts the occurrence times of the situations which only provide registration information through the counter, when the occurrence times of the situations exceed a preset counting threshold, the counter is triggered to update the medicine sales database through the median of sales data of corresponding medicine, and the value of the preset counting threshold can be set and adjusted according to actual requirements.
As a preferred example, before calculating the median value of the sales data of the respective pharmaceutical machines based on the sales data of the associated pharmaceutical machines in the different periods, the method further comprises the steps of:
s601, calculating the distance value of the sales data of any two historical periods according to the sales data of the same medicine in different historical periods. The calculation formula of the distance value is shown as follows:
wherein D (A, B) represents the distance value between sales data A and sales data B, SA A For sales of sales data A, SA B For sales of sales data B, exp is an exponential function based on e.
S602, inputting the distance value into a local outlier factor algorithm to calculate outlier factors corresponding to marketing data of each historical period of the same medicine.
S603, comparing the outlier factors corresponding to the marketing data of each historical period with a preset threshold, and if the outlier factors are larger than the preset threshold, not considering the marketing data corresponding to the outlier factors when calculating the median of the marketing data. In this embodiment, the outlier factors of different sales data of the same medicine are determined by calculating the distance values between different sales data and by using the local outlier factor algorithm, and for sales data with outlier factors greater than a preset threshold, the sales data is larger in change and worse in representativeness compared with other sales data, so that corresponding sales data is not considered in subsequent median calculation, and the representativeness of the median in the sales data is improved.
When the micro service module only records the bill for payment and sends the bill to the background system, the background system processes the bill for payment, and the method specifically comprises the following steps:
and S701, extracting the pharmacy information to be paid from the bill to be paid through a keyword extraction algorithm.
S702, inquiring corresponding medical institution/hospital records in a medical institution sales database according to target applet information deployed by the micro-service module for uploading data, and updating medical institution marketing data in the medical institution/hospital records according to the medical institution information to be paid.
The background system counts the marketing data of the medical instruments based on registration information and/or the sources of bill payment to obtain the medical instrument demand information of the corresponding medical institution/hospital, and specifically comprises the following steps:
s801, the background system counts sales data of different medical instruments in a preset time interval of each medical institution/hospital based on the medical instrument sales database.
S802, the background system sorts different medical instruments of the same medical institution/hospital according to sales data from large to small, and acquires medical instrument demand information of the corresponding medical institution or hospital. According to the information, the medical equipment requirement information of all medical institutions and hospitals is obtained.
On the basis, the background system matches the medical instrument production enterprises according to the medical instrument demand information of different medical institutions/hospitals, and generates a medical instrument marketing recommendation list for the medical instrument production enterprises, and the method specifically comprises the following steps:
s901, a background system acquires sales product information and expected sales volume information of a drug manufacturing enterprise.
S902, matching the medical instrument demand information according to the sales product information, and adding the medical institution/hospital corresponding to the matched medical instrument demand information into the primary screening list. Illustratively, when there is a pharmaceutical product in the pharmaceutical demand information that is the same as the sales product of the pharmaceutical manufacturing company, then it is matched, otherwise it is not matched.
S903, performing secondary screening on the medical institutions/hospitals in the primary screening list, and removing medical institutions/hospitals with the sales data of the medical instruments lower than the expected sales quantity from the primary screening list to obtain a medical instrument marketing recommended list.
Based on the foregoing method embodiments, another embodiment of the present invention provides a pharmaceutical marketing recommendation system, which includes a deployment module, a micro-service module, and a background system, based on the same inventive concept.
The deployment module is used for deploying the micro-service module to a target applet, wherein the target applet is an applet of a medical institution or a hospital, and the target applet at least can realize on-line registration and on-line checkout functions.
The micro-service module is used for recording at least one of registration information and bill payment when the user terminal sends a registration request to the third-party server or receives the bill payment of medicines and medicines from the third-party server.
The background system is used for analyzing and processing the registration information and/or the bill payment when the micro-service module sends the registration information and/or the bill payment to the background system, and corresponding medical instrument marketing data are obtained.
The system embodiment and the method embodiment are based on the same inventive concept, and the working principle and technical effects thereof can refer to the method embodiment and are not described herein.
The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.
Claims (8)
1. A method of pharmaceutical marketing recommendation, the method comprising the steps of:
s101, deploying a micro-service module to a target applet, wherein the target applet is an applet of a medical institution or a hospital, and the target applet at least can realize on-line registration and on-line checkout functions;
s102, when a user terminal sends a registration request to a third-party server or receives a bill paid by a medicine instrument from the third-party server, the micro-service module records at least one of registration information and the bill paid;
s103, the micro-service module sends the registration information and/or the bill to a background system, and the background system analyzes and processes the registration information and/or the bill to obtain corresponding medical instrument marketing data;
s104, the background system counts the marketing data of the medical instruments based on registration information and/or the sources of bill payment to obtain the medical instrument demand information of the corresponding medical institution/hospital;
s105, the background system matches the medical instrument production enterprises according to the medical instrument demand information of different medical institutions/hospitals, and generates a medical instrument marketing recommendation list for the medical instrument production enterprises;
when the micro-service module records registration information and a bill payment bill simultaneously and sends the registration information and the bill payment bill to the background system, the background system processes the registration information and the bill payment bill, and specifically comprises the following steps:
s301, extracting the diagnosis room information from registration information through a keyword extraction algorithm;
s302, extracting the information of the medicine to be paid from the bill to be paid through a keyword extraction algorithm;
s303, inquiring corresponding medical institution/hospital records in a medical institution sales database according to the target applet information deployed by the micro-service module for uploading the data, and updating medical institution sales data in the medical institution/hospital records according to the medical institution information to be paid;
s304, updating the associated medical instrument information recorded in the corresponding consulting room and the sales data of the corresponding medical instrument in the consulting room database according to the consulting room information and the medical instrument information;
after step S304, the method further includes the steps of:
s401, based on data stored in a database of the consulting rooms, calculating sales data of associated medical instruments of each consulting room in different historical periods with the same time length;
s402, calculating median values of corresponding medicine marketing data based on sales data of associated medicines in different historical periods, and finishing calculation of the median values of sales data of all associated medicines in each consulting room;
s403, creating corresponding counters for different consulting rooms, and enabling the counters to update a medicine sales database according to the median value of sales data of each associated medicine of the consulting rooms when the counters are triggered.
2. The method of claim 1, further comprising, prior to step S101, the steps of:
s201, acquiring privacy data acquisition limiting information of a target applet;
s202, acquiring limit information according to privacy data of the target applet, and selecting different micro service modules to be deployed to the target applet.
3. The method for recommending drug mechanical marketing according to claim 1, wherein when the micro-service module records only registration information and transmits the registration information to the background system, the background system processes the registration information, and the method specifically comprises the following steps:
s501, extracting the diagnosis room information from registration information through a keyword extraction algorithm;
s502, every time information of a consulting room is extracted, the counter corresponding to the consulting room counts up by 1, and when the counter counts up to be greater than a preset counting threshold value, the counter is triggered;
s503, when the counter is triggered, the counter is cleared, and the counting is restarted.
4. The method of claim 1, further comprising the steps of, prior to calculating the median value of sales data for the respective medication machine based on sales data for associated medication machines over different periods of time:
s601, calculating the distance value of sales data of any two historical periods according to sales data of the same medical instrument in different historical periods;
s602, inputting the distance value into a local outlier factor algorithm to calculate outlier factors corresponding to marketing data of each historical period of the same medicine;
s603, comparing the outlier factors corresponding to the marketing data of each historical period with a preset threshold, and if the outlier factors are larger than the preset threshold, not considering the marketing data corresponding to the outlier factors when calculating the median of the marketing data.
5. The method of claim 1, wherein when the micro-service module records only the bill for payment and sends the bill to the background system, the background system processes the bill for payment, and the method specifically comprises the following steps:
s701, extracting the information of the medicine to be paid from the bill to be paid through a keyword extraction algorithm;
s702, inquiring corresponding medical institution/hospital records in a medical institution sales database according to target applet information deployed by the micro-service module for uploading data, and updating medical institution marketing data in the medical institution/hospital records according to the medical institution information to be paid.
6. The method of claim 1, wherein the step S104 specifically comprises the steps of:
s801, a background system counts sales data of different medical instruments in a preset time interval of each medical institution/hospital based on a medical instrument sales database;
s802, the background system sorts different medical instruments of the same medical institution/hospital according to sales data from large to small, and thus medical instrument demand information is obtained.
7. The method of claim 6, wherein step S105 comprises the steps of:
s901, a background system acquires marketing product information and expected sales volume information of a drug manufacturing enterprise;
s902, matching the medical instrument demand information according to the marketing product information, and adding medical institutions/hospitals corresponding to the matched medical instrument demand information into a primary screening list;
s903, performing secondary screening on the medical institutions/hospitals in the primary screening list, and removing medical institutions/hospitals with the sales data of the medical instruments lower than the expected sales quantity from the primary screening list to obtain a medical instrument marketing recommended list.
8. A pharmaceutical marketing recommendation system is characterized in that the system comprises a deployment module, a micro-service module and a background system,
the deployment module is used for deploying the micro-service module to a target applet, wherein the target applet is an applet of a medical institution and a hospital, and the target applet at least can realize the functions of on-line registration and on-line checkout;
the micro-service module is used for recording at least one of registration information and bill payment when the user terminal sends a registration request to the third-party server or receives the bill payment of medicines and medicines from the third-party server;
the background system is used for analyzing and processing the registration information and/or the bill payment when the micro-service module sends the registration information and/or the bill payment to the background system, so as to obtain corresponding medical instrument marketing data;
when the micro service module records registration information and a bill for payment at the same time and sends the registration information and the bill for payment to the background system, the background system is further used for processing the registration information and the bill for payment according to the following steps:
s301, extracting the diagnosis room information from registration information through a keyword extraction algorithm;
s302, extracting the information of the medicine to be paid from the bill to be paid through a keyword extraction algorithm;
s303, inquiring corresponding medical institution/hospital records in a medical institution sales database according to the target applet information deployed by the micro-service module for uploading the data, and updating medical institution sales data in the medical institution/hospital records according to the medical institution information to be paid;
s304, updating the associated medical instrument information recorded in the corresponding consulting room and the sales data of the corresponding medical instrument in the consulting room database according to the consulting room information and the medical instrument information;
after step S304, the method further includes the steps of:
s401, based on data stored in a database of the consulting rooms, calculating sales data of associated medical instruments of each consulting room in different historical periods with the same time length;
s402, calculating median values of corresponding medicine marketing data based on sales data of associated medicines in different historical periods, and finishing calculation of the median values of sales data of all associated medicines in each consulting room;
s403, creating corresponding counters for different consulting rooms, and enabling the counters to update a medicine sales database according to the median value of sales data of each associated medicine of the consulting rooms when the counters are triggered.
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