CN116661788A - Doctor information display method and device, storage medium and computer equipment - Google Patents
Doctor information display method and device, storage medium and computer equipment Download PDFInfo
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Abstract
The invention discloses a doctor information display method and device, a storage medium and computer equipment, relates to the technical field of data processing and the field of digital medical treatment, and mainly aims to solve the problem that the existing doctor ordering method cannot meet the comprehensive ordering requirement of a multi-dimensional doctor. The method mainly comprises the steps of responding to a doctor list page display instruction, obtaining page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information; and extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, sorting doctors in the doctor data set according to the user information to obtain doctor list data, and rendering the doctor list data to the doctor list page to display doctor information to a user. The method is mainly used for displaying doctor information.
Description
Technical Field
The invention relates to the technical field of data processing and the field of digital medical treatment, in particular to a doctor information display method and device, a storage medium and computer equipment.
Background
With the rapid development of computer and internet technologies, more and more people choose to acquire doctor information through network channels, and more digital medical service platforms provide services such as inquiry, consultation, appointment registration and the like for doctors. In order to improve user experience, the functions of sequencing and recommending doctors are often fused in a list display page of the doctors, so that the doctors can be conveniently selected.
The doctor ordering method in the existing doctor display page mainly takes single type data as the basis of ordering. For example, the doctor's disease is matched with the patient's main statement according to the doctor's good condition, and the degree of disease matching is used as the basis for the doctor's ranking. For another example, the ranking is performed according to the doctor's score, and the doctor's score is used as the basis for ranking. However, the data sources according to the sorting method are all single data sources, and doctors can be sorted only from a single dimension, so that the comprehensive sorting requirement of multi-dimension doctors cannot be met.
Disclosure of Invention
In view of the above, the present invention provides a doctor information display method and apparatus, a storage medium, and a computer device, and is mainly aimed at solving the problem that the existing doctor ordering method cannot meet the comprehensive ordering requirement of a multidimensional doctor.
According to one aspect of the present invention, there is provided a doctor information display method including:
responding to a doctor list page display instruction, acquiring page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information;
extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item;
and rendering the doctor list data to the doctor list page so as to display doctor information to a user.
Further, before said extracting at least one doctor data set matching said disease category configuration information, said business category configuration information, said method further comprises:
acquiring global doctor data, at least one expected business category, and determining at least one doctor grouping strategy based on the expected business category, wherein the doctor grouping strategy is configured based on different expected business categories;
Respectively carrying out grouping processing on the global doctor data based on the doctor grouping strategies to obtain initial doctor grouping sets respectively corresponding to different doctor grouping strategies;
and respectively sorting doctors in the initial doctor data sets according to intra-group doctor sorting strategies related to the doctor sorting strategies aiming at the initial doctor data sets in the initial doctor data sets to obtain doctor data sets under different expected business categories, wherein the doctor data sets comprise at least one doctor data set.
Further, the horizontal dimension data item at least includes one of a business association data item, a diagnosis and treatment data item, a feedback data item, and a history data item, and the sorting processing is performed on the doctors in the initial doctor data group based on the intra-group doctor sorting policy associated with the doctor grouping policy for the initial doctor data group in each initial doctor group set, so as to obtain doctor group sets under different expected business categories, including:
for each doctor in the initial doctor data set, calculating a multidimensional weight coefficient of the doctor according to weight coefficients corresponding to data items with different horizontal dimensions;
And ordering doctors in groups based on the multidimensional weight coefficients to obtain doctor grouping sets under different expected business categories.
Further, the user information includes user history browsing information, and the sorting processing is performed on the doctors in the doctor data set according to the user information, and obtaining doctor list data includes:
if the historical browsing information of the user is empty, sorting doctors in the doctor data set according to a multi-component cross sorting mode to obtain doctor list data;
and if the user history browsing information is non-empty, performing inter-group sorting update and intra-group sorting update on the doctor data set according to the user history browsing information to obtain doctor list data.
Further, the intra-group ranking of the doctor data set is determined based on a weight coefficient of a doctor horizontal dimension data item, and if the user history browsing information is not null, updating the inter-group ranking and the intra-group ranking of the doctor data set according to the user history browsing information, and obtaining doctor list data includes:
if the user history browsing information is non-empty, extracting a target vertical dimension data item and a target horizontal dimension data item according to the user history browsing information;
Calculating the matching degree between the target vertical dimension data item and the grouping attribute of each doctor data set, and sorting the doctor data sets among groups based on the matching degree to obtain a first sorting result among groups of the doctor data sets;
and updating the weight coefficient of the corresponding horizontal dimension data item based on the target horizontal dimension data item for each doctor data set in the first inter-group sorting result, and updating the intra-group sorting of doctors based on the updated weight coefficient to obtain doctor list data.
Further, the user information includes user service association information, and the sorting processing is performed on the doctors in the doctor data set according to the user information, and obtaining doctor list data includes:
determining a user interest level according to the user service association information, and carrying out grouping sorting processing on the doctor data sets according to the user interest level to obtain a second inter-grouping sorting result;
and ordering the doctors in the group according to the service associated data items corresponding to the doctors aiming at the doctor data groups in the second inter-group ordering result to obtain doctor list data.
Further, after the rendering of the doctor list data to the doctor list page to present doctor information to a user, the method further includes:
acquiring user operation instruction information, and determining real-time browsing information according to the operation instruction information;
and updating the historical browsing information according to the real-time browsing information.
According to another aspect of the present invention, there is provided a doctor information display apparatus including:
the acquisition module is used for responding to the doctor list page display instruction and acquiring page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information;
the processing module is used for extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sequencing doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item;
and the rendering module is used for rendering the doctor list data to the doctor list page so as to display doctor information to a user.
Further, the apparatus further comprises:
the acquisition module is further configured to acquire global doctor data, at least one expected business category, and determine at least one doctor grouping policy based on the expected business category, where the doctor grouping policy is configured based on different expected business categories;
the processing module is further used for respectively carrying out grouping processing on the global doctor data based on the doctor grouping strategies to obtain initial doctor grouping sets respectively corresponding to different doctor grouping strategies;
the sorting module is used for sorting the initial doctor data sets in each initial doctor grouping set, sorting the doctors in the initial doctor data sets based on intra-group doctor sorting strategies associated with the doctor grouping strategies, and obtaining doctor grouping sets under different expected business categories, wherein the doctor grouping sets comprise at least one doctor data set.
Further, the sorting module includes:
the calculating unit is used for calculating the multidimensional weight coefficient of each doctor in the initial doctor data set according to the weight coefficients corresponding to the data items with different horizontal dimensions;
And the sorting unit is used for sorting doctors in groups based on the multidimensional weight coefficients to obtain doctor grouping sets under different expected business categories.
Further, the processing module includes:
the first processing unit is used for sorting doctors in the doctor data set according to a multi-group cross sorting mode if the user history browsing information is empty, so as to obtain doctor list data;
and the second processing unit is used for carrying out sorting update among groups and sorting update in groups on the doctor data group according to the user history browsing information if the user history browsing information is not empty, so as to obtain doctor list data.
Further, in a specific application scenario, the second processing unit is specifically configured to extract a target vertical dimension data item and a target horizontal dimension data item according to the user history browsing information if the user history browsing information is non-null;
calculating the matching degree between the target vertical dimension data item and the grouping attribute of each doctor data set, and sorting the doctor data sets among groups based on the matching degree to obtain a first sorting result among groups of the doctor data sets;
And updating the weight coefficient of the corresponding horizontal dimension data item based on the target horizontal dimension data item for each doctor data set in the first inter-group sorting result, and updating the intra-group sorting of doctors based on the updated weight coefficient to obtain doctor list data.
Further, the processing module includes:
the third processing unit is used for determining the user interest level according to the user service association information, and carrying out grouping sorting processing on the doctor data sets according to the user interest level to obtain a second inter-grouping sorting result;
and the fourth processing unit is used for sequencing the doctors in the group according to the business associated data items corresponding to the doctors aiming at the doctor data groups in the second inter-group sequencing result to obtain doctor list data.
Further, the apparatus further comprises:
the determining module is used for acquiring the operation instruction information of the user and determining real-time browsing information according to the operation instruction information;
and the updating module is used for updating the historical browsing information according to the real-time browsing information.
According to still another aspect of the present invention, there is provided a storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the doctor information presentation method described above.
According to still another aspect of the present invention, there is provided a computer apparatus including: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the doctor information display method.
By means of the technical scheme, the technical scheme provided by the embodiment of the invention has at least the following advantages:
the invention provides a doctor information display method and device, a storage medium and computer equipment, firstly, page display configuration information and user information are obtained in response to a doctor list page display instruction, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information; extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item; and rendering the doctor list data to the doctor list page so as to display doctor information to a user. Compared with the prior art, the embodiment of the invention divides doctors into groups with different vertical dimensions based on service categories and performs inter-group sorting, so that the doctors in each doctor data set are sorted based on user information, and the sorting among the doctors can be laid out and unfolded based on a plurality of dimension information, thereby meeting the comprehensive sorting requirement of multi-dimensional doctors.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 shows a flowchart of a doctor information display method according to an embodiment of the present invention;
FIG. 2 is a flowchart of another doctor information presentation method according to an embodiment of the present invention;
fig. 3 shows a block diagram of a doctor information display apparatus according to an embodiment of the present invention;
fig. 4 shows a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The doctor ordering method in the display page of the existing doctor mainly uses single type data as the basis of ordering. For example, the doctor's disease is matched with the patient's main statement according to the doctor's good condition, and the degree of disease matching is used as the basis for the doctor's ranking. For another example, the ranking is performed according to the doctor's score, and the doctor's score is used as the basis for ranking. However, the data sources according to the sorting method are all single data sources, and doctors can be sorted only from a single dimension, so that the technical problem that comprehensive sorting requirements of multi-dimension doctors cannot be met is solved. The embodiment of the invention provides a doctor information display method, as shown in fig. 1, which comprises the following steps:
101. and responding to the doctor list page display instruction, and acquiring page display configuration information and user information.
In the embodiment of the invention, the doctor list page is a page used for displaying a doctor in the digital medical platform, and can be a doctor consultation page, a doctor brief introduction page, a appointment registration page and the like. The digital medical platform is a service platform which has association relation with other related services, for example, a doctor consultation platform, a registration platform and the like which are associated with insurance services and are used by an insurance client, and the embodiment of the invention is not particularly limited. The page display configuration information is information for accompanying the displayed doctor by the user based on the superior page or the current page, and at least comprises one of disease type configuration information and business type configuration information. The disease type configuration information is information for configuring diagnosis and treatment contents of doctors, for example, the displayed doctor is a hematology doctor if the disease type configuration information is a hematology, and the displayed doctor is a surgeon if the disease type configuration information is a surgery. The service class configuration information is information for configuring the service relevance of the doctor, for example, the service class configuration information may be a service relevance class or a non-service relevance class. The business association category, i.e. the current doctor display, needs to be divided by taking the business association attribute of the doctor as the division basis, for example, dividing the doctor in the platform into a doctor in the platform, a non-known doctor of each hospital outside the platform, and a nationally known doctor. The non-business association category is based on the attribute of the doctor, for example, the doctor summarized by the platform is classified into western doctor, chinese doctor and Chinese and western doctor combined doctor.
102. And extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data.
In the embodiment of the invention, in order to show doctors, candidate doctors matched with the disease category are acquired from a doctor database according to the disease category. Wherein the candidate doctors are stored in the form of doctor data sets, doctors in the respective doctor data sets are identical, the difference between the data sets is a difference in grouping manner, and the different doctor data sets are results of grouping according to different business categories, each including at least one doctor data set. After determining the candidate doctor, all of the doctor data sets in the doctor data set corresponding to the business category are further retrieved from the candidate doctor based on the business category. After obtaining the doctor data set, the doctors in the doctor data set are ordered according to the user information, wherein the user information can comprise the history browsing information of the user, the user service associated information and the like. The user service related information is part of information of the user in other service systems, and the part of information is related to services which can be enjoyed by doctor consultation, registration and the like in the current system. Such as user rating, points, rights, etc. of the user in the insurance business system. The order between the doctor data sets may be determined based on the historical browsing information and/or the user business association information, thereby obtaining doctor listing data. The method for sequentially obtaining doctor list data between doctor data sets may be that the doctor list data is sorted by taking the group as a whole, for example, A, B, C three doctor data sets, and A, B, C has a sorting result of B, C, A, then all doctors in B are displayed in the doctor list, all doctors in C are displayed, and finally all doctors in a are displayed, or each doctor data set may be displayed in a cross manner, for example, one doctor in group a is placed in a first order, one doctor in group B is placed in a second order, one doctor in group C is placed in a third order, and accordingly, the students in A, B, C are sequentially sorted. In addition, the ordering of the doctors in each doctor data set can be adjusted according to the historical browsing information and/or the user service related information.
It is to be noted that, based on the disease category configuration information and the service category configuration information, the doctor data sets are matched, and then the arrangement sequence among the doctor data sets and the sequence in each doctor data set are adjusted according to the historical browsing information and/or the user service association information, so that the doctors in the doctor list can comprehensively sort based on the information of multiple dimensions such as the disease, the service category, the associated service information, the historical browsing information, and the like, flexible and dynamic adjustment of doctor sorting is realized, fine particle division of the doctor information is also realized, the applicable scene of doctor sorting is improved, and the requirement of multidimensional sorting of the doctors is met.
103. And rendering the doctor list data to the doctor list page so as to display doctor information to a user.
In the embodiment of the present invention, each doctor in the doctor data set also carries the horizontal dimension information of the doctor, i.e. the information related to the doctor, including but not limited to the hospital to which the doctor belongs, the grade of the hospital, the age of the doctor, the reputation, the title, the condition of tampering, the qualification rate, the evaluation waiting time, the number of visits, the number of people concerned, whether the equity can be withheld, the external doctor, the platform internal self-use, etc. The doctor is displayed according to the determined sequence, detailed relevant information of the doctor is displayed in a doctor list page, the doctor is ordered according to groups, the doctor is displayed from the vertical dimension, and detailed information of the doctor is displayed on the horizontal dimension information of the doctor, so that multidimensional display of doctor information is realized, and the multidimensional viewing requirement of a user on the doctor is met.
It should be noted that, because the ordering of the doctors is determined based on the historical browsing information, when the user clicks, expands and views a doctor, the historical browsing information is updated in real time, and each time the expanded page of the doctor returns to the doctor list page, the doctor list page display instruction is regenerated.
In one embodiment of the present invention, for further explanation and limitation, before the step of extracting at least one doctor data set matching the disease category configuration information and the service category configuration information, as shown in fig. 2, the method further includes:
201. global physician data, at least one expected traffic class is obtained, and at least one physician grouping strategy is determined based on the expected traffic class.
202. And respectively carrying out grouping processing on the global doctor data based on the doctor grouping strategies to obtain initial doctor grouping sets respectively corresponding to different doctor grouping strategies.
203. And respectively sequencing doctors in the initial doctor data sets based on intra-group doctor sequencing strategies associated with the doctor grouping strategies aiming at the initial doctor data sets in the initial doctor data sets to obtain doctor grouping sets under different expected business categories.
In the embodiment of the invention, the doctor grouping strategy is configured based on different expected business categories. The expected business category is a business category which is expected to be related by the business platform where the current doctor list display page is located, and is used for configuring selectable content in a business category configuration component of the doctor list page, wherein the selectable content is at least one of the expected business categories. Each expected service type is configured with a corresponding doctor grouping strategy, and the global doctor data is respectively grouped according to different doctor grouping strategies. The doctor grouping policy may be a doctor grouping policy based on a doctor employment relationship or a business association, for example, the doctor is divided into an internal doctor, a cooperative hospital doctor and a non-cooperative hospital doctor, or may be a doctor grouping policy based on a query mode, for example, the doctor is grouped according to an off-line query, an on-line query (on-line), or an on-line query (off-line), and the doctor grouping policy may be customized according to a requirement of a specific business type, which is not specifically limited in embodiments of the present invention. The doctor data groups which are grouped according to each doctor grouping strategy are stored in a corresponding initial doctor grouping set, doctors in each initial doctor data group in the initial doctor grouping set are further ordered to obtain a doctor grouping set comprising at least one doctor data group, so that after responding to a doctor list page display instruction, the doctor data groups can be matched to the corresponding doctor grouping set based on business category configuration information, and all doctor data groups in the doctor grouping set are further fetched. The method for sorting doctors in each initial doctor data set may be random sorting, or sorting doctors according to one or more doctor data sets, which is not particularly limited in the embodiment of the present invention.
It should be noted that, the doctor grouping strategy corresponding to the service scenario may be configured in advance based on the expected likely need, and the doctors are grouped according to the grouping strategy, so that coarse granularity classification can be performed on the doctors from the vertical data dimension, so that the classification and the service requirement have a large direction match, for example, the patient wants to consult the platform to apply the doctor, the doctor of the cooperation hospital, or the well-known doctor of the non-cooperation hospital. The doctors in the group are further ranked, and particularly the doctors can be ranked according to different weights based on a plurality of different horizontal dimension data, and the method is a process of dividing the fine granularity based on detailed data of the doctors, so that accurate recommendation of the doctors is realized.
In an embodiment of the present invention, for further explanation and limitation, the step of sorting, for each initial doctor data set in the initial doctor data set based on an intra-group doctor sorting policy associated with the doctor sorting policy, the steps of obtaining a doctor data set under different expected business categories include:
for each doctor in the initial doctor data set, calculating a multidimensional weight coefficient of the doctor according to weight coefficients corresponding to data items with different horizontal dimensions;
And ordering doctors in groups based on the multidimensional weight coefficients to obtain doctor grouping sets under different expected business categories.
In the embodiment of the invention, each doctor in the initial doctor data corresponds to at least one horizontal dimension data item, wherein the horizontal dimension data item at least comprises one of a business association data item, a diagnosis and treatment data item, a feedback data item and a history data item. The service association data item may include a equity score deduction value, for example, the equity score of other services may be used to pay consultation, registration fee, and apply for level association, for example, doctor can only free for clients above level 2 of application level, etc. The diagnosis and treatment data items can comprise the re-diagnosis rate, the reply speed, the number of patients receiving diagnosis, the consultation queuing time and the like. The feedback data items may include doctor score, doctor attention, doctor review, etc. The biographical data items may include reputation the doctor obtains, doctor's school, doctor's title, hospital grade to which the doctor belongs, etc. The doctor data sets under each doctor grouping strategy correspond to intra-group doctor ordering strategies associated with the doctor grouping strategy, and the doctor grouping strategy mainly comprises weight coefficients corresponding to data items with different horizontal dimensions. For example, a physician group is engaged, and clients faced by the group are more inclined to use the benefit points, so that higher weight coefficients are configured for the business-related data items; a group of cooperating hospital doctors, the clients facing the group are prone to the requirement of doctor reply speed to be expected to be larger, and higher weight coefficients are configured for diagnosis and treatment data items; the clients of the group are more prone to doctors of doctors than the well-known doctors of the non-cooperative hospitals, higher weight coefficients are allocated to the historical data items and the feedback data items, and the specific weight allocation mode of the horizontal dimension data items can be customized according to the requirements of specific application scenes, so that the embodiment of the invention is not particularly limited. The implementation process of determining the doctor sorting based on the weight coefficient may be that, for each doctor, the horizontal dimension data item of the doctor is multiplied by the corresponding weight coefficient (for the content of the non-numerical item, 1 is marked, and 0 is not marked), and the obtained products of each horizontal dimension data item and the corresponding weight coefficient are summed to obtain the score of the corresponding doctor, and then sorting is performed according to the score, and of course, sorting may also be performed according to the horizontal dimension data item and the weight coefficient based on other modes.
In an embodiment of the present invention, for further explanation and limitation, the step of sorting the doctors in the doctor data set according to the user information to obtain doctor list data includes:
if the historical browsing information of the user is empty, sorting doctors in the doctor data set according to a multi-component cross sorting mode to obtain doctor list data;
and if the user history browsing information is non-empty, performing inter-group sorting update and intra-group sorting update on the doctor data set according to the user history browsing information to obtain doctor list data.
In the embodiment of the invention, when the user history browsing information is empty, which indicates that the user is browsing the doctor list page for the first time and cannot determine the doctor selection tendency of the user, a mode of cross ordering doctors in a plurality of doctor data sets, namely, the overall ordering among the doctor data sets is disordered, for example, each doctor data set is ordered by taking one doctor, for example, there are A, B, C groups, the sequence among the groups is A-B-C, and the cross ordering results are a1, B1, C1, a2, B2, C2 … … an, bn and cn in sequence, wherein a1 is a first order doctor of group A, B1 is a first order doctor of group B, C1 is a first order doctor of group C, an, bn and cn are n order doctors of group A, group B and group C in sequence. When the historical browsing information of the user is non-empty, which indicates that the user has browsed the doctor list page before, the tendency of the current user can be determined according to the browsed doctor, for example, the occupation of the inner doctor in the doctor clicked in the previous browsing process is higher, the whole group of doctors in the doctor data set corresponding to the inner doctor is arranged before, the doctors in other doctor data sets are arranged behind in sequence, and the doctors in each doctor data set can be ordered in groups according to the horizontal dimension data item of the clicked doctor, so that finally the doctor list data for display is obtained.
It should be noted that, when a user clicks a specific doctor in the doctor list page, after developing a detailed description page of the doctor, the clicked information is updated to the historical browsing information of the current user, and when the user ends the browsing of the doctor brief description page and returns to the doctor list page, the inter-group sorting and intra-group sorting of the doctor data set are updated according to the updated historical browsing information, so that the doctor recommendation data in the doctor list page is dynamically adjusted in real time in the process of browsing by the user, the recommendation sequence of the doctor is more suitable for the user's requirement, and the effectiveness of doctor information display and recommendation accuracy are improved.
In an embodiment of the present invention, for further explanation and limitation, if the user history browsing information is not null, the step of updating the inter-group ordering and the intra-group ordering of the doctor data set according to the user history browsing information includes:
if the user history browsing information is non-empty, extracting a target vertical dimension data item and a target horizontal dimension data item according to the user history browsing information;
Calculating the matching degree between the target vertical dimension data item and the grouping attribute of each doctor data set, and sorting the doctor data sets among groups based on the matching degree to obtain a first sorting result among groups of the doctor data sets;
and updating the weight coefficient of the corresponding horizontal dimension data item based on the target horizontal dimension data item for each doctor data set in the first inter-group sorting result, and updating the intra-group sorting of doctors based on the updated weight coefficient to obtain doctor list data.
In the embodiment of the invention, the target vertical dimension data item is determined based on the grouping attribute of the doctor focused (clicked) in the historical browsing information of the user, and represents the grouping attribute corresponding to the doctor focused by the user, for example, the user clicks 10 doctors, wherein five doctors are inner-joint doctor groups, and the other five doctors are scattered in the cooperative hospital doctor groups and the non-cooperative hospital doctor groups, the inner-joint doctors are determined as the target vertical dimension data item, and then the inter-group ordering of the doctor data group with high matching degree with the target vertical dimension data item is set to the top, so that the dynamic adjustment of the inter-group ordering is realized. The matching pair may be text similarity between the target vertical dimension data item and the doctor data group attribute, or may be a vector distance, such as euclidean distance, which is not limited in the embodiment of the present invention. The target horizontal dimension data item is determined based on the horizontal dimension data item of the doctor concerned (clicked) in the historical browsing information of the user, and represents the doctor concerned by the user, for example, the user clicks 10 doctors, wherein 7 positions of equity point exchange are included, the reply speed is higher than 6 positions of a preset threshold, the weight coefficients respectively corresponding to equity point exchange and the reply speed are increased, the weight coefficient corresponding to the data item with low coincidence degree is correspondingly reduced, and then the ordering of the doctors in the group is updated again according to the adjusted weight coefficient. The method for specifically adjusting the updated weight coefficient can be adjusted based on the product of the adjusted coefficient and the original weight coefficient, or can be modified by adding or subtracting the original weight coefficient, and the embodiment of the invention is not particularly limited.
In an embodiment of the present invention, for further explanation and limitation, the step of sorting the doctors in the doctor data set according to the user information to obtain doctor list data includes:
and determining the user interest level according to the user service association information, and carrying out grouping sorting processing on the doctor data sets according to the user interest level to obtain a second inter-grouping sorting result.
And ordering the doctors in the group according to the service associated data items corresponding to the doctors aiming at the doctor data groups in the second inter-group ordering result to obtain doctor list data.
In the embodiment of the invention, the user information comprises user service association information, wherein the user service association information is used for representing the benefit information of the current user in other associated services, such as the user grade of the current user in medical insurance service and the user grade in life insurance service. According to the user service association information, the interest level of the user in the doctor service platform can be determined, for example, the current level of the user in the medical insurance service is the highest level, the corresponding interest level is the 5 level, and the interests of service cost and service priority can be enjoyed in the consultation and registration service of the global doctor; the current user has the next highest level in the medical insurance business, and the corresponding equity level is 4, so that the user can enjoy the equity of service cost and service priority in both the recruited doctor and the cooperated hospital doctor. The corresponding relation between the user service association information and the equity levels, and the doctor service equity corresponding to the different equity levels can be customized according to the requirements of the actual service scene, and the embodiment of the invention is not particularly limited. After determining the benefit level of the current user, sorting doctor data sets among groups according to the benefit level corresponding to the user, if the benefit level is higher, covering a global doctor, placing other high-level doctor data sets which do not enjoy the benefit at other low-level benefits in a first order, sorting other doctor data sets in turn, and if the benefit level is lower, sorting doctor data sets which can enjoy the benefit according to the doctor level, for example, placing non-cooperative hospital famous doctor data sets in the first order, cooperative hospital doctor data sets in a second order, and inner-engaging doctor data sets in a third order.
It should be noted that, according to the service association information of the user, the interests of the user in the doctor service platform are determined, and further, according to the interests, the arrangement order of the doctors in the doctor list page is determined, and the recommendation order of the doctor list page can be adjusted according to the information of the current user in other service platforms, so as to meet the recommendation demands of the doctors in the doctor service scene of the associated service association interests.
In one embodiment of the present invention, for further explanation and limitation, after the step of rendering the doctor list data to the doctor list page to present doctor information to the user, the method further comprises:
acquiring user operation instruction information, and determining real-time browsing information according to the operation instruction information;
and updating the historical browsing information according to the real-time browsing information.
In the embodiment of the invention, the real-time browsing information of the doctor by the user is determined by acquiring and analyzing the real-time operation instruction information of the user, and then the history browsing information of the current user is updated according to the real-time browsing information, and when the doctor list page is updated each time, the ordering of the doctor in the doctor list page can be dynamically updated based on the previous browsing record of the user, so that the ordering of the doctor in the doctor list page is dynamically adjusted along with the real-time browsing of the user, and the ordering of the doctor is more close to the requirements of the user, thereby improving the flexibility and accuracy of doctor recommendation.
The invention provides a doctor information display method, which comprises the steps of firstly, responding to a doctor list page display instruction, obtaining page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information; extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item; and rendering the doctor list data to the doctor list page so as to display doctor information to a user. Compared with the prior art, the embodiment of the invention divides doctors into groups with different vertical dimensions based on service categories and performs inter-group sorting, so that the doctors in each doctor data set are sorted based on user information, and the sorting among the doctors can be laid out and unfolded based on a plurality of dimension information, thereby meeting the comprehensive sorting requirement of multi-dimensional doctors.
Further, as an implementation of the method shown in fig. 1, an embodiment of the present invention provides a doctor information display apparatus, as shown in fig. 3, where the apparatus includes:
An obtaining module 31, configured to obtain page display configuration information and user information in response to a doctor list page display instruction, where the page display configuration information at least includes one of disease category configuration information and service category configuration information;
the processing module 32 is configured to extract at least one doctor data set matched with the disease category configuration information and the service category configuration information, and perform sorting processing on doctors in the doctor data set according to the user information to obtain doctor list data, where each doctor in the doctor data set carries at least one horizontal dimension data item;
and the rendering module 33 is used for rendering the doctor list data to the doctor list page so as to display doctor information to a user.
Further, the apparatus further comprises:
the acquiring module 31 is further configured to acquire global doctor data, at least one expected service class, and determine at least one doctor grouping policy based on the expected service class, where the doctor grouping policy is configured based on different expected service classes;
the processing module 32 is further configured to perform grouping processing on the global doctor data based on the doctor grouping policies, to obtain initial doctor grouping sets respectively corresponding to different doctor grouping policies;
The sorting module is used for sorting the initial doctor data sets in each initial doctor grouping set, sorting the doctors in the initial doctor data sets based on intra-group doctor sorting strategies associated with the doctor grouping strategies, and obtaining doctor grouping sets under different expected business categories, wherein the doctor grouping sets comprise at least one doctor data set.
Further, the sorting module includes:
the calculating unit is used for calculating the multidimensional weight coefficient of each doctor in the initial doctor data set according to the weight coefficients corresponding to the data items with different horizontal dimensions;
and the sorting unit is used for sorting doctors in groups based on the multidimensional weight coefficients to obtain doctor grouping sets under different expected business categories.
Further, the processing module 32 includes:
the first processing unit is used for sorting doctors in the doctor data set according to a multi-group cross sorting mode if the user history browsing information is empty, so as to obtain doctor list data;
and the second processing unit is used for carrying out sorting update among groups and sorting update in groups on the doctor data group according to the user history browsing information if the user history browsing information is not empty, so as to obtain doctor list data.
Further, in a specific application scenario, the second processing unit is specifically configured to extract a target vertical dimension data item and a target horizontal dimension data item according to the user history browsing information if the user history browsing information is non-null;
calculating the matching degree between the target vertical dimension data item and the grouping attribute of each doctor data set, and sorting the doctor data sets among groups based on the matching degree to obtain a first sorting result among groups of the doctor data sets;
and updating the weight coefficient of the corresponding horizontal dimension data item based on the target horizontal dimension data item for each doctor data set in the first inter-group sorting result, and updating the intra-group sorting of doctors based on the updated weight coefficient to obtain doctor list data.
Further, the processing module 32 includes:
the third processing unit is used for determining the user interest level according to the user service association information, and carrying out grouping sorting processing on the doctor data sets according to the user interest level to obtain a second inter-grouping sorting result;
and the fourth processing unit is used for sequencing the doctors in the group according to the business associated data items corresponding to the doctors aiming at the doctor data groups in the second inter-group sequencing result to obtain doctor list data.
Further, the apparatus further comprises:
the determining module is used for acquiring the operation instruction information of the user and determining real-time browsing information according to the operation instruction information;
and the updating module is used for updating the historical browsing information according to the real-time browsing information.
The invention provides a doctor information display device, which is characterized in that firstly, page display configuration information and user information are obtained in response to a doctor list page display instruction, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information; extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item; and rendering the doctor list data to the doctor list page so as to display doctor information to a user. Compared with the prior art, the embodiment of the invention divides doctors into groups with different vertical dimensions based on service categories and performs inter-group sorting, so that the doctors in each doctor data set are sorted based on user information, and the sorting among the doctors can be laid out and unfolded based on a plurality of dimension information, thereby meeting the comprehensive sorting requirement of multi-dimensional doctors.
According to one embodiment of the present invention, there is provided a storage medium storing at least one executable instruction for performing the doctor information presentation method in any of the above-described method embodiments.
Fig. 4 is a schematic structural diagram of a computer device according to an embodiment of the present invention, and the specific embodiment of the present invention is not limited to the specific implementation of the computer device.
As shown in fig. 4, the computer device may include: a processor 402, a communication interface (Communications Interface) 404, a memory 406, and a communication bus 408.
Wherein: processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.
A communication interface 404 for communicating with network elements of other devices, such as clients or other servers.
The processor 402 is configured to execute the program 410, and may specifically perform relevant steps in the above-described doctor information display method embodiment.
In particular, program 410 may include program code including computer-operating instructions.
The processor 402 may be a central processing unit CPU, or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included in the computer device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 406 for storing programs 410. Memory 406 may comprise high-speed RAM memory or may also include non-volatile memory (non-volatile memory), such as at least one disk memory.
Program 410 may be specifically operable to cause processor 402 to:
responding to a doctor list page display instruction, acquiring page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information;
extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item;
and rendering the doctor list data to the doctor list page so as to display doctor information to a user.
It will be appreciated by those skilled in the art that the modules or steps of the invention described above may be implemented in a general purpose computing device, they may be concentrated on a single computing device, or distributed across a network of computing devices, they may alternatively be implemented in program code executable by computing devices, so that they may be stored in a memory device for execution by computing devices, and in some cases, the steps shown or described may be performed in a different order than that shown or described, or they may be separately fabricated into individual integrated circuit modules, or multiple modules or steps within them may be fabricated into a single integrated circuit module for implementation. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only of the preferred embodiments of the present invention and is not intended to limit the present invention, but various modifications and variations can be made to the present invention by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A doctor information display method, comprising:
responding to a doctor list page display instruction, acquiring page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information;
extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sorting doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item;
and rendering the doctor list data to the doctor list page so as to display doctor information to a user.
2. The method of claim 1, wherein prior to said extracting at least one physician data set matching the disease category configuration information, the business category configuration information, the method further comprises:
Acquiring global doctor data, at least one expected business category, and determining at least one doctor grouping strategy based on the expected business category, wherein the doctor grouping strategy is configured based on different expected business categories;
respectively carrying out grouping processing on the global doctor data based on the doctor grouping strategies to obtain initial doctor grouping sets respectively corresponding to different doctor grouping strategies;
and respectively sorting doctors in the initial doctor data sets according to intra-group doctor sorting strategies related to the doctor sorting strategies aiming at the initial doctor data sets in the initial doctor data sets to obtain doctor data sets under different expected business categories, wherein the doctor data sets comprise at least one doctor data set.
3. The method of claim 2, wherein the horizontal dimension data items include at least one of a business-related data item, a diagnosis and treatment data item, a feedback data item, and a history data item, and wherein for each of the initial doctor data groups in the initial doctor grouping set, sorting the doctors in the initial doctor data group based on an intra-group doctor sorting policy associated with the doctor grouping policy, respectively, to obtain doctor grouping sets under different expected business categories includes:
For each doctor in the initial doctor data set, calculating a multidimensional weight coefficient of the doctor according to weight coefficients corresponding to data items with different horizontal dimensions;
and ordering doctors in groups based on the multidimensional weight coefficients to obtain doctor grouping sets under different expected business categories.
4. The method of claim 1, wherein the user information includes user history browsing information, and wherein the sorting of the doctors in the doctor data set according to the user information to obtain doctor list data includes:
if the historical browsing information of the user is empty, sorting doctors in the doctor data set according to a multi-component cross sorting mode to obtain doctor list data;
and if the user history browsing information is non-empty, performing inter-group sorting update and intra-group sorting update on the doctor data set according to the user history browsing information to obtain doctor list data.
5. The method of claim 4, wherein the intra-group ordering of the physician data set is determined based on a weight coefficient of a physician horizontal dimension data item, and wherein if the user history browsing information is non-null, performing an inter-group ordering update, an intra-group ordering update, on the physician data set according to the user history browsing information, to obtain physician list data comprises:
If the user history browsing information is non-empty, extracting a target vertical dimension data item and a target horizontal dimension data item according to the user history browsing information;
calculating the matching degree between the target vertical dimension data item and the grouping attribute of each doctor data set, and sorting the doctor data sets among groups based on the matching degree to obtain a first sorting result among groups of the doctor data sets;
and updating the weight coefficient of the corresponding horizontal dimension data item based on the target horizontal dimension data item for each doctor data set in the first inter-group sorting result, and updating the intra-group sorting of doctors based on the updated weight coefficient to obtain doctor list data.
6. The method of claim 1, wherein the user information includes user business related information, and wherein the sorting of the doctors in the doctor data set according to the user information to obtain doctor list data includes:
determining a user interest level according to the user service association information, and carrying out grouping sorting processing on the doctor data sets according to the user interest level to obtain a second inter-grouping sorting result;
And ordering the doctors in the group according to the service associated data items corresponding to the doctors aiming at the doctor data groups in the second inter-group ordering result to obtain doctor list data.
7. The method of claim 1, wherein after rendering the doctor listing data to the doctor listing page to present doctor information to a user, the method further comprises:
acquiring user operation instruction information, and determining real-time browsing information according to the operation instruction information;
and updating the historical browsing information according to the real-time browsing information.
8. A doctor information display apparatus, comprising:
the acquisition module is used for responding to the doctor list page display instruction and acquiring page display configuration information and user information, wherein the page display configuration information at least comprises one of disease type configuration information and business type configuration information;
the processing module is used for extracting at least one doctor data set matched with the disease category configuration information and the business category configuration information, and sequencing doctors in the doctor data set according to the user information to obtain doctor list data, wherein each doctor in the doctor data set carries at least one horizontal dimension data item;
And the rendering module is used for rendering the doctor list data to the doctor list page so as to display doctor information to a user.
9. A storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the doctor information presentation method of any one of claims 1-7.
10. A computer device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the doctor information presentation method according to any one of claims 1 to 7.
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| CN202310813168.3A CN116661788A (en) | 2023-07-04 | 2023-07-04 | Doctor information display method and device, storage medium and computer equipment |
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| CN202310813168.3A CN116661788A (en) | 2023-07-04 | 2023-07-04 | Doctor information display method and device, storage medium and computer equipment |
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