Data processing methods, devices, media and electronic equipment for family doctor rights
By analyzing the historical data on family doctor rights and interests, predicting future demand and sending early warnings, the problem of insufficient service capacity in the existing technology is solved, and medical production capacity is supplemented in advance, avoiding decline in user experience and complaints.
Patent Information
- Application Number
- CN202110366959.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2021-04-06
- Publication Date
- 2024-12-24
- Estimated Expiration
- 2041-04-06
AI Technical Summary
The existing technology is difficult to predict the problem of insufficient family doctor service capacity in advance, resulting in a decline in user experience and an increase in complaints, and the timing of supplementing medical production capacity is inaccurate and passive.
By analyzing historical data on family doctor rights, predicting the contract rate and demand in the future period, and sending early warning information to remind the doctor team to replenish production capacity in advance.
Before the problem of insufficient service capacity arises, provide early warnings for the family doctor team to supplement medical production capacity in advance and avoid user experience declines and complaints.
Smart Images

Figure CN113793675B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of data processing, and in particular to a method, device, medium and electronic device for processing data of family doctor rights and interests. Background Art
[0002] With the rise of the Internet medical industry, family doctors have emerged as a new business model. Users can obtain family doctor rights through purchase and other methods, and enjoy unlimited online consultations and other services during the service period of the rights. Since the number of doctors providing family doctor services is limited, the service capacity is also relatively limited. If the number of users using family doctor rights grows rapidly, there may be insufficient doctor capacity, which will lead to problems such as decreased user experience and complaints. The current technical means is to determine whether it is necessary to remind relevant personnel to supplement doctor capacity (recruit doctors, etc.) based on the saturation level of the consultation service provided by family doctors. The timing of supplementing doctor capacity determined in this way is less accurate, and in this way, reminders are issued to supplement doctor capacity only when the doctor capacity is insufficient. Supplementing doctor capacity itself takes time, and training and other matters are required after capacity is supplemented. Therefore, this method is very passive and can only find ways to solve the problem after the problem of insufficient capacity occurs, but cannot avoid the problem in advance.
[0003] It should be noted that the information disclosed in the above background technology section is only used to enhance the understanding of the background of the present invention, and therefore may include information that does not constitute the prior art known to ordinary technicians in the field. Summary of the invention
[0004] The purpose of the embodiments of the present invention is to provide a data processing method, device, medium and electronic device for family doctor rights and interests, so as to provide an early warning to the family doctor team at least to a certain extent before the problem of insufficient service capacity of the family doctor occurs, informing them that the demand for consultations may increase and the capacity may be insufficient in the next N days, thereby reminding the doctor team to replenish the capacity in advance and avoid the problem.
[0005] Other features and advantages of the present invention will become apparent from the following detailed description, or may be learned in part by practice of the present invention.
[0006] According to a first aspect of an embodiment of the present invention, a method for processing data on family doctor rights and interests is provided, which is characterized by comprising: obtaining historical data on family doctor rights and interests; determining the signing rate of family doctor rights and interests in each contracting cycle based on the historical data on family doctor rights and interests; determining the total number of family doctor rights and interests that were received but not signed every day in the historical period based on the historical data on family doctor rights and interests; determining the total number of family doctor rights and interests that were received and not signed every day in the future period based on the historical data on family doctor rights and interests; determining the total number of family doctor rights and interests that have been signed and not expired every day in the future period based on the historical data on family doctor rights and interests; determining the increase data of family doctor rights and interests signed every day in the future period based on the signing rate of family doctor rights and interests in each contracting cycle, the total number of family doctor rights and interests that were received and not signed every day in the historical period, the total number of family doctor rights and interests that were received and not signed every day in the future period, and the total number of family doctor rights and interests that have been signed and not expired every day in the future period; and sending an early warning message based on the increase data of family doctor rights and interests signed every day in the future period.
[0007] In some embodiments of the present invention, determining the signing rate of family doctor benefits in each contract cycle based on the historical data of the family doctor benefits includes: determining the family doctor benefits included in each family doctor benefits collection type based on the historical data of the family doctor benefits; determining the total number of family doctor benefits included in each family doctor benefits collection type based on the family doctor benefits included in each family doctor benefits collection type; determining the family doctor benefits distributed in each contract cycle in each family doctor benefits collection type based on the family doctor benefits included in each family doctor benefits collection type; determining the total number of family doctor benefits distributed in each contract cycle based on the family doctor benefits distributed in each family doctor benefits collection type; determining the signing rate of family doctor benefits in each contract cycle under each family doctor benefits collection type based on the total number of family doctor benefits included in each family doctor benefits collection type and the total number of family doctor benefits distributed in each contract cycle.
[0008] In some embodiments of the present invention, determining the total number of family doctor benefits that were collected but not signed every day in the historical period based on the historical data of the family doctor benefits includes: determining the total number of family doctor benefits that were collected and not signed every day in the historical period under each family doctor benefits collection type based on the historical data of the family doctor benefits.
[0009] In some embodiments of the present invention, determining the total number of family doctor benefits that are collected and not signed every day in a future time period based on the historical data of the family doctor benefits includes: determining the family doctor benefits included in each family doctor benefits collection type based on the historical data of the family doctor benefits; determining the total number of family doctor benefits included in each family doctor benefits collection type based on the family doctor benefits included in each family doctor benefits collection type; determining the average total number of family doctor benefits collected per day under each family doctor benefits collection type based on the total number of family doctor benefits included in each family doctor benefits collection type; determining the total number of family doctor benefits collected and not signed every day in the future time period under each family doctor benefits collection type based on the average total number of family doctor benefits collected per day under each family doctor benefits collection type.
[0010] In some embodiments of the present invention, determining the increase data of the contracted family doctor rights every day in the future period according to the contract signing rate of family doctor rights in each contract signing cycle, the total number of family doctor rights received and not signed every day in the historical period, the total number of family doctor rights received and not signed every day in the future period, and the total number of family doctor rights that have been signed and not expired every day in the future period includes: determining a first newly signed number of contracted family doctor rights in the future period according to the contract signing rate of family doctor rights in each contract signing cycle and the total number of family doctor rights received and not signed every day in the historical period; determining a second newly signed number of contracted family doctor rights in the future period according to the contract signing rate of family doctor rights in each contract signing cycle and the total number of family doctor rights received and not signed every day in the future period; determining a newly signed number of contracted family doctor rights every day in the future period according to the first newly signed number of contracted family doctor rights in the future period and the second newly signed number of contracted family doctor rights in the future period; determining the increase data of contracted family doctor rights every day in the future period according to the total number of contracted and not expired family doctor rights every day in the future period and the newly signed number of contracted family doctor rights every day in the future period.
[0011] In some embodiments of the present invention, the method also includes: determining the contracted family doctor benefits included in each family doctor benefits collection type based on the historical data of the family doctor benefits; determining the family doctor benefits that expire every day in a future time period based on the contracted family doctor benefits included in each family doctor benefits collection type; determining the total number of family doctor benefits that expire every day in a future time period based on the family doctor benefits that expire every day in the future time period; determining the net increase in the number of contracts for contracted family doctor benefits every day in the future time period based on the total number of family doctor benefits that expire every day in the future time period, the first newly added contract number of contracted family doctor benefits in the future time period, and the second newly added contract number of contracted family doctor benefits in the future time period.
[0012] In some embodiments of the present invention, the method also includes: determining the net increase in the number of contracted family doctor benefits accumulated every day in the future period based on the net increase in the number of contracted family doctor benefits accumulated every day in the future period; determining the increase data of the contracted family doctor benefits every day in the future period based on the net increase in the number of contracted family doctor benefits accumulated every day in the future period and the total number of family doctor benefits that have been signed and have not expired every day in the future period.
[0013] In some embodiments of the present invention, sending warning information based on the increase data of the rights and interests of the contracted family doctor every day in the future time period includes: judging whether the increase data of the rights and interests of the contracted family doctor every day in the future time period is greater than or equal to the increase warning value; if the increase data of the rights and interests of the contracted family doctor every day in the future time period is greater than or equal to the increase warning value, sending the warning information.
[0014] According to a second aspect of an embodiment of the present invention, a data processing device for family doctor rights and interests is provided, characterized in that the device comprises: an acquisition module for acquiring historical data of family doctor rights and interests; a contract signing rate determination module for determining the contract signing rate of family doctor rights and interests in each contract signing cycle according to the historical data of the family doctor rights and interests; a historical rights and interests total determination module for determining the total number of family doctor rights and interests that were received and not signed every day in a historical period according to the historical data of the family doctor rights and interests; a future rights and interests total determination module for determining the total number of family doctor rights and interests that were received and not signed every day in a future period according to the historical data of the family doctor rights and interests; a future expired rights and interests total determination module for determining the total number of family doctor rights and interests that have been signed and not expired every day in a future period according to the historical data of the family doctor rights and interests; a first increase data determination module for determining the increase data of the family doctor rights and interests that are signed every day in a future period according to the contract signing rate of the family doctor rights and interests in each contract signing cycle, the total number of family doctor rights and interests that were received and not signed every day in the historical period, the total number of family doctor rights and interests that were received and not signed every day in the future period, and the total number of family doctor rights and interests that have been signed and not expired every day in the future period; and a sending module for sending warning information according to the increase data of the family doctor rights and interests that are signed every day in the future period.
[0015] In some embodiments of the present invention, the above-mentioned contract rate determination module includes: a collection type rights and interests determination module, which is used to determine the family doctor rights and interests included in each family doctor rights and interests collection type according to the historical data of the family doctor rights and interests; a collection type rights and interests total number determination module, which is used to determine the total number of family doctor rights and interests included in each family doctor rights and interests collection type according to the family doctor rights and interests included in each family doctor rights and interests collection type; a period rights and interests determination module, which is used to determine the family doctor rights and interests distributed in each contract cycle in each family doctor rights and interests collection type according to the family doctor rights and interests included in each family doctor rights and interests collection type; a period rights and interests total number determination module, which is used to determine the total number of family doctor rights and interests distributed in each contract cycle according to the family doctor rights and interests distributed in each contract cycle in each family doctor rights and interests collection type; a sub-module of the contract rate determination module, which is used to determine the contract rate of family doctor rights and interests in each contract cycle under each collection family rights and interests type according to the total number of family doctor rights and interests included in each family doctor rights and interests collection type and the total number of family doctor rights and interests distributed in each contract cycle.
[0016] In some embodiments of the present invention, the above-mentioned historical rights and interests total determination module is configured to: determine the total number of family doctor rights and interests that are collected and not signed every day in the historical period under each family doctor rights and interests collection type based on the historical data of the family doctor rights and interests.
[0017] In some embodiments of the present invention, the above-mentioned future total rights determination module includes: a collection type rights determination module, which is used to determine the family doctor rights included in each family doctor rights collection type based on the historical data of the family doctor rights; a collection type total rights determination module, which is used to determine the total number of family doctor rights included in each family doctor rights collection type based on the family doctor rights included in each family doctor rights collection type; an average total rights determination module, which is used to determine the average total number of family doctor rights collected per day under each family doctor rights collection type based on the total number of family doctor rights included in each family doctor rights collection type; a sub-module of the future total rights determination module, which is used to determine the total number of family doctor rights collected and not signed every day in the future period under each family doctor rights collection type based on the average total number of family doctor rights collected per day under each family doctor rights collection type.
[0018] In some embodiments of the present invention, the above-mentioned first increase data determination module includes: a first newly added contract quantity determination module, which is used to determine the first newly added contract quantity of contracted family doctor rights in the future period according to the contract rate of family doctor rights in each contract cycle and the total number of family doctor rights received and not signed every day in the historical period; a second newly added contract quantity determination module, which is used to determine the second newly added contract quantity of contracted family doctor rights in the future period according to the contract rate of family doctor rights in each contract cycle and the total number of family doctor rights received and not signed every day in the future period; the newly added contract quantity determination module is used to determine the newly added contract quantity of contracted family doctor rights every day in the future period according to the first newly added contract quantity of contracted family doctor rights in the future period and the second newly added contract quantity of contracted family doctor rights in the future period; a submodule of the first increase data determination module is used to determine the increase data of contracted family doctor rights every day in the future period according to the total number of family doctor rights that have been signed and not expired every day in the future period and the newly added contract quantity of contracted family doctor rights every day in the future period.
[0019] In some embodiments of the present invention, the device also includes: a module for determining the contracted rights in the collection type, which is used to determine the contracted family doctor rights included in each family doctor rights collection type based on the historical data of the family doctor rights; a module for determining the rights that will expire every day in the future period based on the contracted family doctor rights included in each family doctor rights collection type; a module for determining the total number of rights that will expire every day in the future period, which is used to determine the total number of family doctor rights that will expire every day in the future period based on the family doctor rights that will expire every day in the future period; a module for determining the net increase in the number of contracts signed every day, which is used to determine the net increase in the number of contracts signed for family doctor rights every day in the future period based on the total number of family doctor rights that will expire every day in the future period, the first new contract number of contracted family doctor rights in the future period, and the second new contract number of contracted family doctor rights in the future period.
[0020] In some embodiments of the present invention, the device also includes: a module for determining the net increase in the number of contracts signed as of each day, which is used to determine the net increase in the number of contracts signed for family doctor benefits accumulated every day in the future period based on the net increase in the number of contracts signed for family doctor benefits accumulated every day in the future period; a second module for determining the increase data of the contracted family doctor benefits for each day in the future period based on the net increase in the number of contracts signed for family doctor benefits accumulated every day in the future period and the total number of family doctor benefits that have been signed and have not expired every day in the future period.
[0021] In some embodiments of the present invention, the above-mentioned sending module includes: a judgment module, used to judge whether the increase data of the rights and interests of the contracted family doctor every day in the future time period is greater than or equal to the increase warning value; a sub-module of the sending module, if the increase data of the rights and interests of the contracted family doctor every day in the future time period is greater than or equal to the increase warning value, sends the warning information.
[0022] According to a third aspect of an embodiment of the present invention, there is provided an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the data processing method for family doctor rights and interests as described in the first aspect of the above embodiment.
[0023] According to a fourth aspect of an embodiment of the present invention, a computer-readable medium is provided, on which a computer program is stored. When the program is executed by a processor, the method for processing data on family doctor rights and interests as described in the first aspect of the above embodiment is implemented.
[0024] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:
[0025] In the technical solutions provided by some embodiments of the present invention, the increase data of the rights and interests of family doctors contracted every day in the future period is determined based on the contract signing rate of family doctor rights in each contract signing cycle, the total number of family doctor rights and interests that have been received but not signed every day in the historical period, the total number of family doctor rights and interests that have been received but not signed every day in the future period, and the total number of family doctor rights and interests that have been signed and not expired every day in the future period. According to the increase data of the rights and interests of family doctors contracted every day in the future period, early warning information is sent, so that before the problem of insufficient service capacity of family doctors occurs, an early warning can be provided to the family doctor team, informing them that the demand for consultations may increase and the capacity may be insufficient after N days in the future, and then reminding the doctor team to supplement the capacity in advance to avoid the problem. For example, the capacity of family doctors can be increased according to the increase data of the rights and interests of family doctors contracted every day in the future period.
[0026] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS
[0027] The drawings herein are incorporated into and constitute a part of the specification, showing embodiments consistent with the present invention, and together with the specification, are used to explain the principles of the present invention. Obviously, the drawings described below are only some embodiments of the present invention, and for those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:
[0028] Figure 1 A schematic diagram showing an exemplary system architecture of a method for processing family doctor rights and interests data or a device for processing family doctor rights and interests data to which an embodiment of the present invention may be applied;
[0029] Figure 2 A flowchart schematically shows a method for processing family doctor rights data according to an embodiment of the present invention;
[0030] Figure 3 A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0031] Figure 4 A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0032] Figure 5 A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0033] Figure 6A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0034] Figure 7 A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0035] Figure 8 A flowchart schematically shows a method for processing family doctor rights data according to another embodiment of the present invention;
[0036] Fig. 9 A block diagram schematically shows a data processing device for family doctor rights according to an embodiment of the present invention;
[0037] Fig.10 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0038] Fig.11 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0039] Fig.12 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0040] Fig.13 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0041] Fig.14 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0042] Fig.15 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention;
[0043] Fig.16 A schematic diagram of the structure of a computer system suitable for implementing an electronic device of an embodiment of the present invention is shown. DETAILED DESCRIPTION
[0044] Example embodiments will now be described more fully with reference to the accompanying drawings. However, example embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that the present invention will be more comprehensive and complete and fully convey the concept of the example embodiments to those skilled in the art.
[0045] In addition, the described features, structures or characteristics may be combined in one or more embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the embodiments of the present invention. However, those skilled in the art will appreciate that the technical solution of the present invention can be practiced without one or more of the specific details, or other methods, components, devices, steps, etc. may be adopted. In other cases, known methods, devices, implementations or operations are not shown or described in detail to avoid blurring various aspects of the present invention.
[0046] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities may be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor devices and / or microcontroller devices.
[0047] The flowcharts shown in the accompanying drawings are only exemplary and do not necessarily include all the contents and operations / steps, nor must they be executed in the order described. For example, some operations / steps can be decomposed, and some operations / steps can be combined or partially combined, so the actual execution order may change according to actual conditions.
[0048] Figure 1 A schematic diagram showing an exemplary system architecture of a method for processing family doctor rights and interests data or an apparatus for processing family doctor rights and interests data according to an embodiment of the present invention is applicable.
[0049] like Figure 1 As shown, the system architecture 100 may include an interface layer 101 , an application service layer 102 , and a storage layer 103 .
[0050] Among them, the interface layer 101 can be the user interface of the terminal, for example, a data presentation and warning interface, which is used to display data related to family doctor rights and interests, and to display warning information, so as to remind the family doctor team to increase the production capacity of family doctors based on the increase data of the rights and interests of family doctors signed every day in the future period.
[0051] The application service layer 102 and the storage layer 103 may be the application service layer 102 and the storage layer 103 in the server. The application service layer 102 may be used to calculate the historical contract period, calculate the demand for the next 30 days, and provide data presentation and warning processing services. Specifically, the application service layer 102 may determine the contract rate of family doctor rights in each contract period based on the historical data of family doctor rights, determine the total number of family doctor rights that are received and not signed every day in the historical period based on the historical data of family doctor rights, determine the total number of family doctor rights that are received and not signed every day in the future period based on the historical data of family doctor rights, determine the total number of family doctor rights that have been signed and not expired every day in the future period based on the historical data of family doctor rights, determine the contract rate of family doctor rights in each contract period, the total number of family doctor rights that are received and not signed every day in the historical period, the total number of family doctor rights that are received and not signed every day in the future period, and the total number of family doctor rights that are signed and not expired every day in the future period, determine the increase data of the contracted family doctor rights every day in the future period, and send warning information based on the increase data of the contracted family doctor rights every day in the future period. In this embodiment, the above-mentioned interface layer 101 can display the signing rate of family doctor benefits in each of the above-mentioned signing cycles, the total number of family doctor benefits received but not signed every day in the historical period, the total number of family doctor benefits received but not signed every day in the future period, and the total number of family doctor benefits that have been signed and have not expired every day in the future period. It can also display the growth data and warning information of the family doctor benefits signed every day in the future period.
[0052] Storage layer 103 is used to store historical contract data, contract cycle distribution, rights and interests data in the current service, and demand in the next 30 days. Specifically, storage layer 103 can be used to store the contract signing rate of family doctor rights in each contract cycle, the total number of family doctor rights that have been received but not signed every day in the historical period, the total number of family doctor rights that have been received but not signed every day in the future period, and the total number of family doctor rights that have been signed and not expired every day in the future period, and can also be used to store the increase data and early warning information of the family doctor rights signed every day in the future period.
[0053] Figure 2 The flowchart schematically shows a method for processing family doctor rights data according to an embodiment of the present invention.
[0054] like Figure 2 As shown, the data processing method for family doctor rights and interests may include steps S210 to S270.
[0055] In step S210, historical data of family doctor rights and interests is obtained.
[0056] In step S220, the signing rate of the family doctor's rights in each signing cycle is determined based on the historical data of the family doctor's rights.
[0057] In step S230, based on the historical data of the family doctor benefits, the total number of family doctor benefits that were received but not signed every day in the historical period is determined.
[0058] In step S240, the total number of family doctor benefits that are collected but not signed every day in the future period is determined based on the historical data of the family doctor benefits.
[0059] In step S250, the total number of family doctor benefits that have been signed and not expired every day in the future period is determined based on the historical data of the family doctor benefits.
[0060] In step S260, based on the signing rate of family doctor benefits in each signing cycle, the total number of family doctor benefits received but not signed every day in the historical period, the total number of family doctor benefits received but not signed every day in the future period, and the total number of family doctor benefits that have been signed and have not expired every day in the future period, the increase data of the signed family doctor benefits in the future period is determined.
[0061] In step S270, an early warning message is sent according to the daily increase data of the benefits of the contracted family doctors in the future period.
[0062] The method can determine the increase data of the family doctor rights and interests signed every day in the future period according to the signing rate of the family doctor rights and interests in each signing cycle, the total number of family doctor rights and interests received but not signed every day in the historical period, the total number of family doctor rights and interests received but not signed every day in the future period, and the total number of family doctor rights and interests signed and not expired every day in the future period, and send warning information according to the increase data of the family doctor rights and interests signed every day in the future period, so as to provide a warning to the family doctor team before the problem of insufficient service capacity of the family doctor occurs, informing that the demand for consultation may increase and the capacity may be insufficient in the next N days, and then reminding the doctor team to supplement the capacity in advance to avoid the problem. For example, the capacity of the family doctor can be increased according to the increase data of the family doctor rights and interests signed every day in the future period.
[0063] In one embodiment of the present invention, the above-mentioned family doctor rights may be a service that provides medical care to users. The historical data of family doctor rights may include the time when the user received the family doctor rights, the type of family doctor rights received by the user, the time when the user signed a contract with the doctor based on the family doctor rights, the validity period of the family doctor rights, the name of the family doctor rights, the situation of the consultation based on the family doctor rights, etc., but are not limited thereto. In this embodiment, after the user obtains the family doctor rights, he needs to sign a contract with a specific doctor to enjoy services such as online consultation. The present invention is based on the historical data of a large number of users signing contracts with family doctors, evaluates the distribution of users' contract cycles, and then evaluates the daily increase in demand in the next month based on the users' contract cycles and the data on the users' rights and interests (for example, the user obtains the rights and interests on January 1, and the contract cycle is 3 days, so the contract is signed on January 4, and after the contract is signed, the user can start consultations. Therefore, it is considered that the amount of rights and interests of the contracted family doctor is the demand for consultations). In addition, the daily decrease in demand in the next month is evaluated based on the data on the expiration of family doctor rights, so as to calculate the net increase in demand every day in the future, and calculate the percentage increase based on the net increase relative to yesterday's demand, so as to provide a reference for the doctor team to supplement its production capacity, and give a reminder N days in advance if the increase exceeds the threshold.
[0064] In one embodiment of the present invention, the historical data of the above-mentioned family doctor rights and interests may be the family doctor rights and interests data of the past 100 days. Based on the family doctor rights and interests data of the past 100 days, the contract period for obtaining the family doctor rights and interests may be calculated. For example, if a user obtains the family doctor rights and interests on January 1 and signs a contract with the family doctor on January 4, then the contract period is 3 days. In this embodiment, the contract period may be 0, 1, 2, 3, 4, 5...30 days. For example, based on the family doctor rights and interests data of the past 100 days, the distribution of the family doctor rights and interests in each contract period may be calculated.
[0065] Figure 3 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0066] like Figure 3 As shown, the above step 220 may specifically include steps S310 to S350.
[0067] In step S310, the family doctor benefits included in each family doctor benefit claiming type are determined based on the historical data of the family doctor benefits.
[0068] In step S320, the total number of family doctor benefits included in each family doctor benefit collection type is determined based on the family doctor benefits included in each family doctor benefit collection type.
[0069] In step S330, based on the family doctor benefits included in each family doctor benefit collection type, the family doctor benefits distributed in each contract period in each family doctor benefit collection type are determined.
[0070] In step S340, the total number of family doctor benefits distributed in each contract period is determined according to the family doctor benefits distributed in each contract period in each family doctor benefit collection type.
[0071] In step S350, the signing rate of family doctor benefits in each contract period under each family doctor benefit type is determined based on the total number of family doctor benefits included in each family doctor benefit type and the total number of family doctor benefits distributed in each contract period.
[0072] This method can determine the signing rate of family doctor benefits in each contract cycle under each family doctor benefit collection type based on the total number of family doctor benefits included in each family doctor benefit collection type and the total number of family doctor benefits distributed in each contract cycle. This makes it easier to predict the number of newly signed family doctor benefits in future time periods based on the signing rate.
[0073] In one embodiment of the present invention, the family doctor rights included in each family doctor rights collection type are determined based on the historical data of family doctor rights. For example, based on the collection type in the historical data of family doctor rights, each family doctor rights in the historical data of family doctor rights can be classified, and the total number of family doctor rights included in each field type is counted. Then, based on the family doctor rights included in each field type, the contract period of each family doctor right is calculated, the family doctor rights included in each field type are classified according to each contract period, and the total number of family doctor rights distributed in each contract period is counted, and based on the family doctor rights distributed in each contract period, the total number of family doctor rights distributed in each contract period is calculated, and finally, the contract rate of family doctor rights in each contract period under each field type is calculated based on the total number of family doctor rights included in each field type and the total number of family doctor rights distributed in each contract period.
[0074] In one embodiment of the present invention, the total number of family doctor rights included in each field type, the total number of family doctor rights distributed in each contract period, and the signing rate of family doctor rights in each contract period under each field type are stored in the database. Specifically, as shown in the signing rate table:
[0075] Benefit collection type Number of benefits received Contract signing period Equity Signing rate Data calculation date Buy something and give it as a gift 1000 Day 0 40 4% 2020-12-01 Buy something and give it as a gift 1000 1 day 79 7.9% 2020-12-01 Buy something and give it as a gift 1000 …… …… …… 2020-12-01 Buy something and give it as a gift 1000 30 days 32 3.2% 2020-12-01 User paid to purchase 2000 Day 0 55 2.25% 2020-12-01 User paid to purchase 2000 1 day 94 4.7% 2020-12-01 User paid to purchase 2000 …… …… …… 2020-12-01 User paid to purchase 2000 30 days 17 0.85% 2020-12-01 …… …… …… …… …… ……
[0076] Among them, the type of benefits received is the type of family doctor benefits received by the user, the total number of benefits received is the total number of family doctor benefits included in each field type, the number of benefits is the total number of family doctor benefits distributed in each contract cycle, and the contract rate is the contract rate of family doctor benefits in each contract cycle under each field type.
[0077] In some embodiments of the present invention, determining the total number of family doctor benefits that were collected and not signed every day in the historical period based on the historical data of the family doctor benefits includes: determining the total number of family doctor benefits that were collected and not signed every day in the historical period under each family doctor benefit collection type based on the historical data of the family doctor benefits. For example, based on the historical data of family doctor benefits over the past 100 days, take the benefit records for each family doctor benefit collection type that have been collected within the past 30 days and have not yet been signed, and count the number of benefits, that is, the total number of family doctor benefits that were collected and not signed every day in the historical period under each family doctor benefit collection type.
[0078] Figure 4 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0079] like Figure 4 As shown, the above step 240 may specifically include steps S410 to S440.
[0080] In step S410, the family doctor benefits included in each family doctor benefit claiming type are determined based on the historical data of the family doctor benefits.
[0081] In step S420, the total number of family doctor benefits included in each family doctor benefit collection type is determined based on the family doctor benefits included in each family doctor benefit collection type.
[0082] In step S430, based on the total number of family doctor benefits included in each family doctor benefit collection type, the average total number of family doctor benefits collected per day under each family doctor benefit collection type is determined.
[0083] In step S440, the total number of family doctor benefits that are received and not signed every day in the future period under each family doctor benefit collection type is determined based on the average daily total number of family doctor benefits collected under each family doctor benefit collection type.
[0084] This method can determine the average total number of family doctor benefits received per day under each family doctor benefit collection type based on the total number of family doctor benefits included in each family doctor benefit collection type, and then determine the total number of family doctor benefits received and not signed every day in the future time period under each family doctor benefit collection type based on the average total number of family doctor benefits received per day under each family doctor benefit collection type. In this way, the total number of family doctor benefits to be received by users every day in the future time period can be quickly predicted based on the historical data of family doctor benefits.
[0085] In one embodiment of the present invention, the total number of family doctor benefits received per day under each family doctor benefit collection type is determined according to the total number of family doctor benefits included in each family doctor benefit collection type. For example, the historical data of family doctor benefits is the historical data of family doctor benefits over the past 100 days. In this case, the total number of family doctor benefits included in each family doctor benefit collection type is divided by 100 to obtain the total number of family doctor benefits received per day under each family doctor benefit collection type.
[0086] In one embodiment of the present invention, the total number of family doctor benefits that are received and not signed every day in the future period under each family doctor benefit collection type is determined based on the total number of family doctor benefits received on average every day under each family doctor benefit collection type. For example, the total number of family doctor benefits received on average every day under each family doctor benefit collection type is used as a reference value for the number of newly received family doctor benefits every day in the next 30 days.
[0087] In one embodiment of the present invention, the total number of family doctor benefits received and not signed every day in the historical period under each family doctor benefit collection type and the total number of family doctor benefits received and not signed every day in the future period under each family doctor benefit collection type are stored in the benefit collection table, specifically as the benefit collection table:
[0088]
[0089] Among them, the type of benefits received is the type of family doctor benefits received by the user, the date of receipt is the time when the user received the family doctor benefits in the past period and the time when the user receives the family doctor benefits in the future period, and the number of benefits received but not signed is the total number of family doctor benefits received and not signed every day in the historical period under each family doctor benefit receipt type and the total number of family doctor benefits received and not signed every day in the future period under each family doctor benefit receipt type. It should be noted that the past period and the future period are bounded by the current date.
[0090] In one embodiment of the present invention, the above-mentioned signing rate table and the benefit collection table are associated through the "benefit collection type" field, so that a Cartesian product will appear between the collection date and the signing period, thereby generating a Cartesian product result table, as shown in the following Cartesian product result table:
[0091]
[0092] Among them, the benefit collection type is the type of family doctor benefit collection type by the user, the collection date is the time when the user collected the family doctor benefits in the past period and the time when the user collects the family doctor benefits in the future period, the number of unsigned benefits collected is the total number of family doctor benefits collected and not signed every day in the historical period under each family doctor benefit collection type and the total number of family doctor benefits collected and not signed every day in the future period under each family doctor benefit collection type, the contract period is the contract period of the family doctor benefits, and the contract rate is the contract rate for each contract period under each family doctor benefit collection type.
[0093] Figure 5 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0094] like Figure 5 As shown, the above step 260 may specifically include steps S510 to S540.
[0095] In step 510, the first number of newly signed contracts for family doctor benefits in the future period is determined based on the contract signing rate of family doctor benefits in each contract signing cycle and the total number of family doctor benefits received but not signed every day in the historical period.
[0096] In step S520, the second number of newly signed contracts for family doctor benefits in the future period is determined based on the contract signing rate of family doctor benefits in each contract signing cycle and the total number of family doctor benefits received but not signed every day in the future period.
[0097] In step S530, the number of new contracts for contracted family doctor benefits every day in the future period is determined based on the first number of new contracts for contracted family doctor benefits in the future period and the second number of new contracts for contracted family doctor benefits in the future period.
[0098] In step S540, the increase data of the family doctor benefits contracted every day in the future period is determined based on the total number of family doctor benefits that have been contracted and not expired every day in the future period and the number of newly signed family doctor benefits contracted every day in the future period.
[0099] This method can determine the increase data of the contracted family doctor benefits in the future period every day based on the total number of family doctor benefits that have been signed and not expired and the number of newly signed family doctor benefits in the future period every day. This will facilitate the subsequent replenishment of family doctor production capacity based on the increase data of the contracted family doctor benefits in the future period, and can quickly and accurately determine the timing of sending an early warning based on the increase data of the contracted family doctor benefits in the future period.
[0100] In one embodiment of the present invention, the first newly added contracted number of contracted family doctor rights in the future period is determined based on the contract signing rate of family doctor rights in each contract signing cycle and the total number of family doctor rights that were received but not signed every day in the historical period. For example, based on the contract signing rate of family doctor rights in each contract signing cycle in the above Cartesian product result table and the total number of family doctor rights that were received and not signed every day in the historical period, the number of contracted family doctor rights for each contract signing date in the future period can be calculated, that is, the first newly added contracted number of contracted family doctor rights in the future period. It should be noted that for each contract signing date, the "receipt date" plus the "contract signing cycle" can be used as the "contract signing date", and the "number of rights received but not signed" is multiplied by the corresponding "contract signing rate" to obtain the "number of newly added contracted rights". Specifically, as shown in the first newly added contract number table:
[0101]
[0102] Among them, the signing date is the time when the user signs a contract with the family doctor in the future period, and the number of contract rights is the first new contract number for signing family doctor rights on each signing date in the future period.
[0103] In one embodiment of the present invention, the second newly added contracted number of contracted family doctor rights in the future period is determined based on the contract signing rate of family doctor rights in each contract signing cycle and the total number of family doctor rights that are received and not signed every day in the future period. For example, based on the contract signing rate of family doctor rights in each contract signing cycle and the total number of family doctor rights that are received and not signed every day in the future period in the above-mentioned Cartesian product result table, the number of contracted family doctor rights for each contract signing date in the future period can be calculated, that is, the second newly added contracted number of contracted family doctor rights in the future period. It should be noted that for each contract signing date, the "receipt date" plus the "contract signing cycle" can be used as the "contract signing date", and the "number of unsigned rights received" is multiplied by the corresponding "contract signing rate" to obtain the "number of newly signed rights". Specifically, as shown in the second newly added contract number table:
[0104]
[0105] Among them, the signing date is the time when the user signs a contract with the family doctor in the future period, and the number of contract rights is the number of second new contracts for signing family doctor rights on each signing date in the future period.
[0106] In one embodiment of the present invention, the number of newly signed contracts for the rights and interests of family doctors in the future period is determined based on the first number of newly signed contracts for the rights and interests of family doctors in the future period and the second number of newly signed contracts for the rights and interests of family doctors in the future period. For example, based on the data in the above-mentioned first number of newly signed contracts table and the second number of newly signed contracts table, the number of newly signed contracts for the rights and interests of family doctors in the future period is calculated. Specifically, group by "rights collection type" and "contract date" to obtain the total contract data for each contract date under each type. In this embodiment, only the data results for "contract date" 30 days after the current date can be retained. Then, based on the data results 30 days after the current date, the newly signed contracts for each collection type in the next 30 days are grouped by contract date, and the types are merged to obtain the newly signed contracts for all types every day in the next 30 days.
[0107] In one embodiment of the present invention, the increase data of the family doctor rights and interests signed every day in the future period is determined based on the total number of family doctor rights and interests that have been signed and have not expired every day in the future period and the number of newly signed contracts for family doctor rights and interests that have been signed every day in the future period. For example, the increase data of the family doctor rights and interests signed every day in the future period is obtained by dividing the number of newly signed contracts for family doctor rights and interests that have been signed and have not expired every day in the future period. Specifically, as shown in the first increase data table:
[0108] Forecast Date Yesterday's effective equity Forecast of new contract signings Increase Data calculation date 2020-12-01 10000 100 1% 2020-12-01 2020-12-02 10000 200 2% 2020-12-01 2020-12-03 10000 350 3.5% 2020-12-01 …… 10000 …… …… 2020-12-01 2020-12-30 10000 1200 12% 2020-12-01
[0109] Among them, the number of valid rights yesterday is the total number of family doctor rights that have been signed and have not expired every day in the future period, the predicted number of new contracts is the number of new contracts for family doctor rights signed every day in the future period, and the increase is the increase data of family doctor rights signed every day in the future period.
[0110] Figure 6 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0111] like Figure 6 As shown, the above method also includes steps S610 to S640.
[0112] In step S610, based on the historical data of the family doctor benefits, the contracted family doctor benefits included in each family doctor benefit collection type are determined.
[0113] In step S620, the family doctor benefits that expire every day in the future period are determined based on the contracted family doctor benefits included in each family doctor benefit collection type.
[0114] In step S630, the total number of family doctor benefits expiring every day in the future period is determined based on the family doctor benefits expiring every day in the future period.
[0115] In step S640, the net increase in the number of contracts for family doctor benefits contracted every day in the future period is determined based on the total number of family doctor benefits that expire every day in the future period, the first number of new contracts for family doctor benefits contracted in the future period, and the second number of new contracts for family doctor benefits contracted in the future period.
[0116] The method can determine the net increase in the number of contracts signed for family doctor benefits every day in the future period based on the total number of family doctor benefits that expire every day in the future period, the first new number of contracts signed for family doctor benefits in the future period, and the second new number of contracts signed for family doctor benefits in the future period. In this way, the net increase in the number of contracts signed for family doctor benefits every day in the future period can be quickly obtained, so that the increase data can be calculated later based on the net increase in the number of contracts signed for family doctor benefits every day in the future period.
[0117] In one embodiment of the present invention, the net increase in the number of contracts for the rights and interests of the contracted family doctors every day in the future period is determined according to the total number of family doctor rights and interests that expire every day in the future period, the first number of newly added contracts for the rights and interests of the contracted family doctors in the future period, and the second number of newly added contracts for the rights and interests of the contracted family doctors in the future period. For example, the number of newly added contracts for the rights and interests of the contracted family doctors every day in the future period is determined according to the first number of newly added contracts for the rights and interests of the contracted family doctors in the future period and the second number of newly added contracts for the rights and interests of the contracted family doctors in the future period, and then the net increase in the number of contracts for the rights and interests of the contracted family doctors every day in the future period is determined according to the total number of family doctor rights and interests that expire every day in the future period and the number of newly added contracts for the rights and interests of the contracted family doctors every day in the future period. For example, the net increase in the number of contracts for the rights and interests of the contracted family doctors every day in the next 30 days is obtained by subtracting the total number of family doctor rights and interests that expire every day in the next 30 days from the number of newly added contracts for the rights and interests of the contracted family doctors every day in the next 30 days.
[0118] Figure 7 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0119] like Figure 7 As shown, the above method also includes steps S710 to S720.
[0120] In step S710, the net increase in the number of contracts for contracted family doctor benefits accumulated every day in the future period is determined according to the net increase in the number of contracts for contracted family doctor benefits every day in the future period.
[0121] In step S720, the increase data of the contracted family doctor benefits for each day in the future period is determined based on the net increase in the number of contracted family doctor benefits accumulated by the end of each day in the future period and the total number of family doctor benefits that have been signed and have not expired every day in the future period.
[0122] This method can determine the increase data of contracted family doctor benefits for each day in the future period based on the net increase in the number of contracted family doctor benefits accumulated by the end of each day in the future period and the total number of family doctor benefits that have been signed and have not expired every day in the future period, thereby further improving the accuracy of the increase data.
[0123] In one embodiment of the present invention, the net increase in the number of contracts for the rights and interests of contracted family doctors every day in the future period is determined based on the net increase in the number of contracts for the rights and interests of contracted family doctors every day in the future period. For example, the net increase in the number of contracts for the rights and interests of contracted family doctors every day in the future period is a net increase of 10 on the 1st, a net increase of 15 on the 2nd, and a net increase of 20 on the 3rd, then the cumulative net increase on the 2nd = 10 + 15, and the cumulative net increase on the 3rd = 10 + 15 + 20. In this embodiment, the net value increase and the contract date are calculated by the window function in SQL.
[0124] In one embodiment of the present invention, the increase data of the contracted family doctor rights and interests for each day in the future period is determined based on the net increase in the number of contracted family doctor rights and interests accumulated by the end of each day in the future period and the total number of contracted and unexpired family doctor rights and interests for each day in the future period. For example, the increase data of the contracted family doctor rights and interests for each day in the future period is obtained by dividing the net increase in the number of contracted family doctor rights and interests accumulated by the end of each day in the future period by the total number of contracted and unexpired family doctor rights and interests for each day in the future period. Specifically, it is shown in the second increase data table:
[0125] Forecast Date Yesterday's effective equity Forecasted net increase in contracts Increase Data calculation date 2020-12-01 10000 100 1% 2020-12-01 2020-12-02 10000 300 3% 2020-12-01 2020-12-03 10000 700 4.5% 2020-12-01 …… 10000 …… …… 2020-12-01 2020-12-30 10000 1200 12% 2020-12-01
[0126] Among them, the number of effective rights yesterday is the total number of family doctor rights that have been signed and have not expired every day in the future period. The predicted net increase in contracts is the net increase in the number of contracted family doctor rights accumulated by the end of each day in the future period, and the increase is the increase data of the contracted family doctor rights every day in the future period.
[0127] In one embodiment of the present invention, the warning setting supports matching the forecast date and the corresponding increase. For example, a warning value can be set for the increase data of each day. In this embodiment, the warning value can be set to a maximum of 29 days later, as shown in the warning value table:
[0128] N Days Later Increase warning value 7 2% 15 5% 29 10%
[0129] In one embodiment of the present invention, the system reads the final calculation result table and the warning setting information. When it is determined that the demand increase obtained by calculating the current date + the set date reaches or exceeds the corresponding increase warning value, an email is sent to issue an alarm.
[0130] Figure 8 The following schematically shows a flow chart of a method for processing data on family doctor rights and interests according to another embodiment of the present invention.
[0131] like Figure 8 As shown, the above step S270 may specifically include step S810 and step S820.
[0132] In step S810, it is determined whether the increase data of the benefits of the contracted family doctor every day in the future period is greater than or equal to the increase warning value.
[0133] In step S820, if the daily increase data of the contracted family doctor benefits in the future period is greater than or equal to the increase warning value, the warning information is sent.
[0134] The method can determine whether the daily increase data of the contracted family doctor rights in the future period is greater than or equal to the increase warning value. If the daily increase data of the contracted family doctor rights in the future period is greater than or equal to the increase warning value, the warning information is sent, so that the family doctor team can be notified in time to supplement the family doctor's production capacity in time according to the daily increase data of the contracted family doctor rights in the future period.
[0135] Fig. 9 A block diagram schematically shows a data processing device for family doctor rights according to an embodiment of the present invention.
[0136] like Fig. 9 As shown, the data processing device 900 for family doctor rights includes an acquisition module 901, a contract signing rate determination module 902, a historical rights total determination module 903, a future rights total determination module 904, a future due rights total determination module 905, a first increase data determination module 906 and a sending module 907.
[0137] Specifically, the acquisition module 901 is used to obtain historical data of family doctor rights and interests.
[0138] The signing rate determination module 902 is used to determine the signing rate of family doctor rights in each signing cycle based on the historical data of the family doctor rights.
[0139] The historical rights and interests total determination module 903 is used to determine the total number of family doctor rights and interests that have been received but not signed every day in the historical period based on the historical data of the family doctor rights and interests.
[0140] The future benefit total determination module 904 is used to determine the total number of family doctor benefits that are collected but not signed every day in the future period based on the historical data of the family doctor benefits.
[0141] The module 905 for determining the total number of benefits that will expire in the future is used to determine the total number of family doctor benefits that have been signed and have not expired every day in the future period based on the historical data of the family doctor benefits.
[0142] The first increase data determination module 906 is used to determine the increase data of the family doctor benefits signed every day in the future period based on the signing rate of family doctor benefits in each signing cycle, the total number of family doctor benefits received but not signed every day in the historical period, the total number of family doctor benefits received and not signed every day in the future period, and the total number of family doctor benefits that have been signed and have not expired every day in the future period.
[0143] The sending module 907 is used to send warning information according to the increase data of the rights and interests of the contracted family doctors every day in the future period.
[0144] The data processing device 900 of the family doctor's rights and interests can determine the increase data of the family doctor's rights and interests signed every day in the future period according to the signing rate of the family doctor's rights and interests in each contracting cycle, the total number of family doctor's rights and interests that have been received and not signed every day in the historical period, the total number of family doctor's rights and interests that have been received and not signed every day in the future period, and the total number of family doctor's rights and interests that have been signed and not expired every day in the future period, and send warning information according to the increase data of the family doctor's rights and interests signed every day in the future period, so that before the problem of insufficient service capacity of the family doctor occurs, the family doctor team can be provided with a warning, informing that the demand for consultation may increase and the capacity may be insufficient after N days in the future, and then reminding the doctor team to supplement the capacity in advance to avoid the problem. For example, the capacity of the family doctor can be increased according to the increase data of the family doctor's rights and interests signed every day in the future period.
[0145] According to an embodiment of the present invention, the data processing device 900 for family doctor rights can be used to implement Figure 2 The embodiment describes a method for processing data on family doctor rights.
[0146] Fig.10 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0147] like Fig.10As shown, the above-mentioned signing rate determination module 902 can specifically include a collection type benefit determination module 1001, a collection type benefit total amount determination module 1002, a period benefit determination module 1003, a period benefit total amount determination module 1004, and a submodule 1005 of the signing rate determination module.
[0148] Specifically, the collection type rights and interests determination module 1001 is used to determine the family doctor rights and interests included in each family doctor rights and interests collection type based on the historical data of the family doctor rights and interests.
[0149] The module 1002 for determining the total number of benefits of each collection type is used to determine the total number of family doctor benefits included in each family doctor benefit collection type based on the family doctor benefits included in each family doctor benefit collection type.
[0150] The cycle benefit determination module 1003 is used to determine the family doctor benefits distributed in each contract cycle in each family doctor benefit collection type according to the family doctor benefits included in each family doctor benefit collection type.
[0151] The module 1004 for determining the total number of benefits in a cycle is used to determine the total number of family doctor benefits distributed in each contract cycle according to the family doctor benefits distributed in each contract cycle in each family doctor benefit collection type.
[0152] Submodule 1005 of the signing rate determination module is used to determine the signing rate of family doctor benefits in each contract period under each family doctor benefit collection type based on the total number of family doctor benefits included in each family doctor benefit collection type and the total number of family doctor benefits distributed in each contract period.
[0153] The signing rate determination module 902 can determine the signing rate of family doctor benefits in each contract period under each family doctor benefit collection type based on the total number of family doctor benefits included in each family doctor benefit collection type and the total number of family doctor benefits distributed in each contract period, so that it is convenient to subsequently predict the number of newly signed family doctor benefits in future time periods based on the signing rate.
[0154] According to an embodiment of the present invention, the signing rate determination module 902 can be used to implement Figure 3 The embodiment describes a method for processing data on family doctor rights.
[0155] Fig.11 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0156] like Fig.11As shown, the above-mentioned future equity total determination module 904 can specifically include a collection type equity determination module 1101, a collection type equity total determination module 1102, an average collection total equity determination module 1103 and a submodule 1104 of the future equity total determination module.
[0157] Specifically, the collection type rights and interests determination module 1101 is used to determine the family doctor rights and interests included in each family doctor rights and interests collection type based on the historical data of the family doctor rights and interests.
[0158] The module 1102 for determining the total number of benefits of each collection type is used to determine the total number of family doctor benefits included in each family doctor benefit collection type based on the family doctor benefits included in each family doctor benefit collection type.
[0159] The module 1103 for determining the average total number of benefits received is used to determine the average total number of family doctor benefits received per day for each family doctor benefit receipt type based on the total number of family doctor benefits included in each family doctor benefit receipt type.
[0160] Submodule 1104 of the future benefits total determination module is used to determine the total number of family doctor benefits received and not signed every day in the future period under each family doctor benefits collection type based on the average daily total number of family doctor benefits collected under each family doctor benefits collection type.
[0161] The future total benefits determination module 904 can determine the average daily total number of family doctor benefits received under each family doctor benefits collection type based on the total number of family doctor benefits included in each family doctor benefits collection type, and then determine the total number of family doctor benefits received and not signed every day in the future time period under each family doctor benefits collection type based on the average daily total number of family doctor benefits received under each family doctor benefits collection type. In this way, the total number of family doctor benefits to be collected by users every day in the future time period can be quickly predicted based on the historical data of family doctor benefits.
[0162] According to an embodiment of the present invention, the future equity total determination module 904 can be used to implement Figure 4 The embodiment describes a method for processing data on family doctor rights.
[0163] Fig.12 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0164] like Fig.12As shown, the first increase data determination module 906 may specifically include a first new contract quantity determination module 1201 , a first new contract quantity determination module 1202 , a new contract quantity determination module 1203 and a submodule 1204 of the first increase data determination module.
[0165] Specifically, the first new contract quantity determination module 1201 is used to determine the first new contract quantity of contracted family doctor benefits in the future period based on the contract rate of family doctor benefits in each contract cycle and the total number of family doctor benefits received but not contracted every day in the historical period.
[0166] The first newly added contract quantity determination module 1202 is used to determine the second newly added contract quantity of contracted family doctor benefits in the future period according to the contract rate of family doctor benefits in each contract cycle and the total number of family doctor benefits received but not signed every day in the future period.
[0167] The new contract quantity determination module 1203 is used to determine the new contract quantity of contracted family doctor rights and interests every day in the future period based on the first new contract quantity of contracted family doctor rights and interests in the future period and the second new contract quantity of contracted family doctor rights and interests in the future period.
[0168] Submodule 1204 of the first increase data determination module is used to determine the increase data of the contracted family doctor benefits for each day in the future period based on the total number of family doctor benefits that have been signed and not expired each day in the future period and the number of new contracts for the contracted family doctor benefits for each day in the future period.
[0169] The first increase data determination module 906 can determine the increase data of the contracted family doctor rights and interests in the future time period according to the total number of family doctor rights and interests that have been signed and have not expired and the number of newly signed family doctor rights and interests in the future time period. This makes it easier to supplement the production capacity of family doctors according to the increase data of the contracted family doctor rights and interests in the future time period, and to quickly and accurately determine the timing of sending an early warning according to the increase data of the contracted family doctor rights and interests in the future time period.
[0170] According to an embodiment of the present invention, the first increase data determination module 906 can be used to implement Figure 5 The embodiment describes a method for processing data on family doctor rights.
[0171] Fig.13 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0172] like Fig.13As shown, the data processing device 900 for the above-mentioned family doctor rights and interests may also include a module 908 for determining the contract rights and interests in the collection type, a module 909 for determining the rights and interests that will expire every day in the future, a module 910 for determining the total number of rights and interests that will expire every day in the future, and a module 911 for determining the net increase in the number of contracts signed every day.
[0173] Specifically, the contracted rights and interests determination module 908 in the collection type is used to determine the contracted family doctor rights and interests included in each family doctor rights and interests collection type based on the historical data of the family doctor rights and interests.
[0174] The module 909 for determining benefits expiring every day in the future is used to determine the family doctor benefits expiring every day in the future period according to the signed family doctor benefits included in each family doctor benefit collection type.
[0175] The module 910 for determining the total number of benefits that will expire every day in the future is used to determine the total number of family doctor benefits that will expire every day in the future period according to the family doctor benefits that will expire every day in the future period.
[0176] The module 911 for determining the net increase in the number of contracts signed each day is used to determine the net increase in the number of contracts signed for family doctor benefits each day in the future period based on the total number of family doctor benefits that expire each day in the future period, the first number of new contracts signed for family doctor benefits in the future period, and the second number of new contracts signed for family doctor benefits in the future period.
[0177] The data processing device 900 for family doctor rights and interests can determine the net increase in the number of contracts signed for family doctor rights and interests every day in the future period based on the total number of family doctor rights and interests that expire every day in the future period, the first number of new contracts signed for family doctor rights and interests in the future period, and the second number of new contracts signed for family doctor rights and interests in the future period. In this way, the net increase in the number of contracts signed for family doctor rights and interests every day in the future period can be quickly prepared, so that the increase data can be calculated later based on the net increase in the number of contracts signed for family doctor rights and interests every day in the future period.
[0178] According to an embodiment of the present invention, the data processing device 900 for family doctor rights can be used to implement Figure 6 The embodiment describes a method for processing data on family doctor rights.
[0179] Fig.14 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0180] like Fig.14 As shown, the data processing device 900 for the family doctor's rights and interests may also include a module 912 for determining the net increase in the number of contracts signed per day and a module 913 for determining the second increase data.
[0181] Specifically, the module 912 for determining the net increase in the number of contracts signed each day is used to determine the net increase in the number of contracts signed for family doctor benefits accumulated each day in the future period based on the net increase in the number of contracts signed for family doctor benefits each day in the future period.
[0182] The second increase data determination module 913 is used to determine the increase data of the contracted family doctor benefits for each day in the future period based on the net increase in the number of contracted family doctor benefits accumulated by the end of each day in the future period and the total number of family doctor benefits that have been signed and have not expired every day in the future period.
[0183] The data processing device 900 for family doctor rights can determine the increase data of the contracted family doctor rights for each day in the future period based on the net increase in the number of contracted family doctor rights accumulated by the end of each day in the future period and the total number of family doctor rights that have been signed and have not expired every day in the future period, thereby further improving the accuracy of the increase data.
[0184] According to an embodiment of the present invention, the data processing device 900 for family doctor rights can be used to implement Figure 7 The embodiment describes a method for processing data on family doctor rights.
[0185] Fig.15 A block diagram schematically shows a data processing device for family doctor rights according to another embodiment of the present invention.
[0186] like Fig.15 As shown, the sending module 907 may specifically include a determining module 1501 and a submodule 1502 of the sending module.
[0187] Specifically, the judgment module 1501 is used to judge whether the increase data of the rights and interests of the contracted family doctors every day in the future period is greater than or equal to the increase warning value.
[0188] The submodule 1502 of the sending module sends the warning information if the increase data of the benefits of the contracted family doctors every day in the future period is greater than or equal to the increase warning value.
[0189] The sending module 907 can determine whether the daily increase data of the contracted family doctor rights in the future period is greater than or equal to the increase warning value. If the daily increase data of the contracted family doctor rights in the future period is greater than or equal to the increase warning value, the warning information is sent, so that the family doctor team can be notified in time to supplement the family doctor's production capacity in time according to the daily increase data of the contracted family doctor rights in the future period.
[0190] According to an embodiment of the present invention, the sending module 907 can be used to implement Figure 8 The embodiment describes a method for processing data on family doctor rights.
[0191] Since each module of the data processing 900 of the family doctor rights and interests of the exemplary embodiment of the present invention can be used to implement the above 2~ Figure 8 The steps of an example embodiment of the method for processing data on family doctor rights are described, so for details not disclosed in the embodiment of the device of the present invention, please refer to the embodiment of the method for processing data on family doctor rights of the present invention mentioned above.
[0192] It can be understood that the acquisition module 901, the signing rate determination module 902, the historical equity total determination module 903, the future equity total determination module 904, the future due equity total determination module 905, the first increase data determination module 906, the sending module 907, the signing equity determination module 908 in the collection type, the future daily due equity determination module 909, the future daily due equity total determination module 910, the daily net increase in the number of signed determination module 911, the daily net increase in the number of signed determination module 912, the second increase data determination module 913, the collection type equity determination module 1001, the periodic equity determination module 1002, the periodic equity total determination module Block 1003, contract rights determination module 1004, submodule 1005 of contract rate determination module, claim type rights determination module 1101, claim type rights total number determination module 1102, average claim total number determination module 1103, submodule 1104 of future rights total number determination module, first newly added contract number determination module 1201, first newly added contract number determination module 1202, newly added contract number determination module 1203, submodule 1204 of first increment data determination module, judgment module 1501, and submodule 1502 of sending module can be implemented in one module, or any one of the modules can be split into multiple modules. Alternatively, at least part of the functions of one or more of these modules can be combined with at least part of the functions of other modules and implemented in one module.According to an embodiment of the present invention, an acquisition module 901, a contract signing rate determination module 902, a historical equity total determination module 903, a future equity total determination module 904, a future due equity total determination module 905, a first increase data determination module 906, a sending module 907, a contract signing equity determination module 908 in the collection type, a future daily due equity determination module 909, a future daily due equity total determination module 910, a daily net increase in the number of contracts determined module 911, a daily net increase in the number of contracts determined module 912, a second increase data determination module 913, a collection type equity determination module 1001, a periodic equity determination module 1002, a periodic equity total determination module 1003, a contract equity determination module 1004, a submodule 1005 of the contract signing rate determination module, a collection type equity determination module 1101, a collection type At least one of the module 1102 for determining the total number of type benefits, the module 1103 for determining the total number of average benefits received, the sub-module 1104 of the module for determining the total number of future benefits, the module 1201 for determining the first number of newly signed contracts, the module 1202 for determining the first number of newly signed contracts, the module 1203 for determining the number of newly signed contracts, the sub-module 1204 of the module for determining the first increase data, the judgment module 1501, and the sub-module 1502 of the sending module can be at least partially implemented as a hardware circuit, such as a field programmable gate array (FPGA), a programmable logic array (PLA), a system on a chip, a system on a substrate, a system on a package, an application-specific integrated circuit (ASIC), or can be implemented in hardware or firmware in any other reasonable way of integrating or packaging circuits, or in an appropriate combination of software, hardware, and firmware.Alternatively, acquisition module 901, signing rate determination module 902, historical equity total determination module 903, future equity total determination module 904, future due equity total determination module 905, first increase data determination module 906, sending module 907, signing equity determination module 908 in the claim type, future daily due equity determination module 909, future daily due equity total determination module 910, daily net increase signing quantity determination module 911, daily net increase signing quantity determination module 912, second increase data determination module 913, claim type equity determination module 1001, period equity determination module 1002, period equity total determination module 1003, signing equity At least one of the benefit determination module 1004, the sub-module 1005 of the signing rate determination module, the collection type rights and interests determination module 1101, the collection type rights and interests total number determination module 1102, the average collection total number of rights and interests determination module 1103, the sub-module 1104 of the future total number of rights and interests determination module 1201, the first new signing number determination module 1202, the new signing number determination module 1203, the sub-module 1204 of the first increase data determination module, the judgment module 1501, and the sub-module 1502 of the sending module can be at least partially implemented as a computer program module, and when the program is run by a computer, the function of the corresponding module can be executed.
[0193] Reference below Fig.16 , which shows a schematic diagram of the structure of a computer system 1600 of an electronic device suitable for implementing an embodiment of the present invention. Fig.16 The computer system 1600 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.
[0194] like Fig.16 As shown, the computer system 1600 includes a central processing unit (CPU) 1601, which can perform various appropriate actions and processes according to the program stored in the read-only memory (ROM) 1602 or the program loaded from the storage part 1608 to the random access memory (RAM) 1603. In the RAM 1603, various programs and data required for system operation are also stored. The CPU 1601, the ROM 1602, and the RAM 1603 are connected to each other through a bus 1604. An input / output (I / O) interface 1605 is also connected to the bus 1604.
[0195] The following components are connected to the I / O interface 1605: an input section 1606 including a keyboard, a mouse, etc.; an output section 1607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 1608 including a hard disk, etc.; and a communication section 1609 including a network interface card such as a LAN card, a modem, etc. The communication section 1609 performs communication processing via a network such as the Internet. A drive 1610 is also connected to the I / O interface 1605 as needed. A removable medium 1611, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 1610 as needed, so that a computer program read therefrom is installed into the storage section 1608 as needed.
[0196] In particular, according to an embodiment of the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present invention includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication section 1609, and / or installed from a removable medium 1611. When the computer program is executed by a central processing unit (CPU) 1601, the above-mentioned functions defined in the system of the present application are executed.
[0197] It should be noted that the computer-readable medium shown in the present invention may be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present invention, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present invention, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.
[0198] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each box in the flow chart or block diagram can represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of a code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flow chart, and the combination of the boxes in the block diagram or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.
[0199] The units involved in the embodiments of the present invention may be implemented by software or hardware, and the units described may also be arranged in a processor. The names of these units do not, in some cases, limit the units themselves.
[0200] As another aspect, the present application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiment; or may exist independently without being assembled into the electronic device. The above computer-readable medium carries one or more programs, and when the above one or more programs are executed by an electronic device, the electronic device implements the data processing method of family doctor rights and interests as described in the above embodiment.
[0201] For example, the electronic device can implement Figure 2 As shown in: In step S210, historical data of family doctor rights and interests are obtained. In step S220, the signing rate of family doctor rights and interests in each contracting cycle is determined according to the historical data of family doctor rights and interests. In step S230, the total number of family doctor rights and interests that are received and not signed every day in the historical period is determined according to the historical data of family doctor rights and interests. In step S240, the total number of family doctor rights and interests that are received and not signed every day in the future period is determined according to the historical data of family doctor rights and interests. In step S250, the total number of family doctor rights and interests that have been signed and not expired every day in the future period is determined according to the historical data of family doctor rights and interests. In step S260, the increase data of the family doctor rights and interests signed every day in the future period is determined according to the signing rate of family doctor rights and interests in each contracting cycle, the total number of family doctor rights and interests that are received and not signed every day in the historical period, the total number of family doctor rights and interests that are received and not signed every day in the future period, and the total number of family doctor rights and interests that have been signed and not expired every day in the future period. In step S270, according to the increase data of the family doctor rights and interests signed every day in the future period, an early warning message is sent.
[0202] It should be noted that, although several modules or units of the equipment for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to an embodiment of the present invention, the features and functions of two or more modules or units described above can be embodied in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into being embodied by multiple modules or units.
[0203] Through the description of the above implementation, it is easy for those skilled in the art to understand that the example implementation described here can be implemented by software, or by software combined with necessary hardware. Therefore, the technical solution according to the implementation of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, including several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the implementation of the present invention.
[0204] Those skilled in the art will readily appreciate other embodiments of the present invention after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses or adaptations of the present invention that follow the general principles of the present invention and include common knowledge or customary techniques in the art that are not disclosed by the present invention. The specification and examples are to be considered exemplary only, and the true scope and spirit of the present invention are indicated by the following claims.
[0205] It should be understood that the present invention is not limited to the exact construction that has been described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.
Claims
1. A data processing method for family doctor rights, characterized in that: The method includes: Obtain historical data on family doctor benefits; Determine the signing rate of the family doctor benefits in each signing cycle based on the historical data of the family doctor benefits; Based on the historical data of the family doctor benefits, determine the total number of family doctor benefits that were received and not signed every day during the historical period; According to the historical data of the family doctor's rights and interests, the total number of family doctor's rights and interests that are collected but not signed every day in the future period is determined; wherein, according to the historical data of the family doctor's rights and interests, the total number of family doctor's rights and interests that are collected and not signed every day in the future period is determined, including: determining the average total number of family doctor's rights and interests collected every day under each family doctor's rights and interests collection type from the historical data; according to the average total number of family doctor's rights and interests collected every day under each family doctor's rights and interests collection type, determining the total number of family doctor's rights and interests that are collected and not signed every day in the future period under each family doctor's rights and interests collection type; Determine the total number of family doctor benefits that have been signed and have not expired each day in a future period based on the historical data of the family doctor benefits; Determine the number of new contracts for family doctor benefits signed every day in the future period based on the signing rate of family doctor benefits in each signing cycle, the total number of family doctor benefits received but not signed every day in the historical period, and the total number of family doctor benefits received but not signed every day in the future period; Determine the increase data of the family doctor rights and interests signed every day in the future period according to the total number of family doctor rights and interests that have been signed and have not expired every day in the future period and the number of newly signed family doctor rights and interests signed every day in the future period; Sending early warning information based on the daily increase in the rights and interests of contracted family doctors in the future period; Among them, the number of newly signed contracts for family doctor benefits signed every day in the future period is determined based on the signing rate of family doctor benefits in each signing cycle, the total number of family doctor benefits received but not signed every day in the historical period, and the total number of family doctor benefits received but not signed every day in the future period, including: Determine the first number of new contracts for family doctor benefits in the future period based on the contract signing rate of family doctor benefits in each contract signing cycle and the total number of family doctor benefits received but not signed every day in the historical period; Determine the second number of additional contracts for contracted family doctor benefits in the future period based on the contract signing rate of family doctor benefits in each contract signing cycle and the total number of family doctor benefits received but not signed every day in the future period; The number of new contracts for contracting family doctor benefits every day in the future period is determined based on the first number of new contracts for contracting family doctor benefits in the future period and the second number of new contracts for contracting family doctor benefits in the future period.
2. The method according to claim 1, characterized in that Determining the signing rate of family doctor rights in each signing cycle based on the historical data of the family doctor rights includes: Determine, from the historical data, the total number of family doctor benefits included in each family doctor benefit claim type and the total number of family doctor benefits distributed in each contract period; Based on the total number of family doctor benefits included in each family doctor benefit collection type and the total number of family doctor benefits distributed in each contract period, the signing rate of family doctor benefits in each contract period under each family doctor benefit collection type is determined.
3. The method according to claim 2, characterized in that The determination of the total number of family doctor benefits included in each family doctor benefit claim type includes: Determine the family doctor benefits included in each family doctor benefit claim type based on the historical data of the family doctor benefits; Based on the family doctor benefits included in each family doctor benefits collection type, determine the total number of family doctor benefits included in each family doctor benefits collection type.
4. The method according to claim 2, characterized in that: The total amount of family doctor benefits distributed in each contract period includes: According to the family doctor benefits included in each family doctor benefit collection type, determine the family doctor benefits distributed in each contract period in each family doctor benefit collection type; Based on the family doctor benefits distributed in each contract period in each family doctor benefit collection type, the total number of family doctor benefits distributed in each contract period is determined.
5. The method according to claim 1, characterized in that Determining the average daily total number of family doctor benefits received under each family doctor benefit collection type from the historical data includes: Determine the family doctor benefits included in each family doctor benefit claim type based on the historical data of the family doctor benefits; Determine the total number of family doctor benefits included in each family doctor benefit collection type based on the family doctor benefits included in each family doctor benefit collection type; Based on the total number of family doctor benefits included in each family doctor benefits collection type, the average daily total number of family doctor benefits collected under each family doctor benefits collection type is determined.
6. The method according to claim 1, characterized in that The method further includes: Based on the total number of family doctor benefits that expire every day in the future period and the number of new contracts for family doctor benefits signed every day in the future period, the net increase in the number of contracts for family doctor benefits signed every day in the future period is determined.
7. The method according to claim 6, characterized in that The method further includes: Based on the net increase in the number of contracted family doctor benefits accumulated every day in the future period and the total number of family doctor benefits that have been signed and not expired every day in the future period, the increase data of the contracted family doctor benefits for each day in the future period is determined.
8. The method according to claim 1, characterized in that According to the daily increase in the benefits of contracted family doctors in the future period, the warning information sent includes: Determine whether the daily increase data of the contracted family doctor's rights and interests in the future period is greater than or equal to the increase warning value; If the daily increase data of the contracted family doctor benefits in the future period is greater than or equal to the increase warning value, the warning information is sent.
9. A data processing device for family doctor rights, characterized in that: The device includes: The acquisition module is used to obtain historical data on family doctor rights; A contract signing rate determination module, used to determine the contract signing rate of family doctor rights in each contract signing cycle based on the historical data of the family doctor rights; A historical rights and interests total determination module, used to determine the total number of family doctor rights and interests that have been received and not signed every day in a historical period according to the historical data of the family doctor rights and interests; A future rights and interests total determination module, used to determine the total number of family doctor rights and interests that have been received and not signed every day in the future period based on the historical data of the family doctor rights and interests; The future total number of benefits determination module is further used to determine the average daily total number of family doctor benefits received under each family doctor benefit collection type from the historical data; according to the average daily total number of family doctor benefits received under each family doctor benefit collection type, determine the total number of family doctor benefits received and not signed in the future period under each family doctor benefit collection type; A module for determining the total number of rights due in the future, used to determine the total number of family doctor rights that have been signed and have not expired every day in the future period based on the historical data of the family doctor rights; The first increase data determination module is used to determine the number of newly signed contracts for family doctor benefits signed every day in the future period according to the signing rate of family doctor benefits in each contract period, the total number of family doctor benefits received but not signed every day in the historical period, and the total number of family doctor benefits received but not signed every day in the future period; The first increase data determination module is further used to determine the increase data of the family doctor rights and interests signed every day in the future period according to the total number of family doctor rights and interests that have been signed and have not expired every day in the future period and the number of newly signed family doctor rights and interests signed every day in the future period; A sending module, used to send warning information according to the increase data of the rights and interests of the contracted family doctors every day in the future period; The first increase data determination module is also used to determine the first new number of contracts for contracted family doctor benefits in the future period based on the contract rate of family doctor benefits in each contract cycle and the total number of family doctor benefits received but not signed every day in the historical period; determine the second new number of contracts for contracted family doctor benefits in the future period based on the contract rate of family doctor benefits in each contract cycle and the total number of family doctor benefits received and not signed every day in the future period; determine the new number of contracts for contracted family doctor benefits every day in the future period based on the first new number of contracts for contracted family doctor benefits in the future period and the second new number of contracts for contracted family doctor benefits in the future period.
10. An electronic device comprising: one or more processors; as well as A storage device, used for storing one or more programs, when the one or more programs are executed by the one or more processors, enables the one or more processors to implement the method according to any one of claims 1 to 8.
11. A computer readable medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the method according to any one of claims 1 to 8 is implemented.
