CN111784453A - Block chain-based cross-platform medicine collection price synchronization method and related device - Google Patents
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Abstract
The application relates to a block chain-based cross-platform medicine collection price synchronization method and a related device, belonging to the technical field of block chains, wherein the method comprises the following steps: acquiring source information, historical drug bid records and drug price restriction information of each drug centralized purchasing platform; inputting the information of each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform; dividing each medicine centralized purchasing platform into a plurality of platform subsets; partitioning block chains corresponding to each platform subset with platforms in each platform subset as block link point members; and connecting the partition block chains through intermediate nodes to obtain a total platform block chain, and synchronizing the medicine price related information of the total platform block chain by the intermediate nodes. The reliability of cross-platform medicine collection price synchronization is effectively improved.
Description
Technical Field
The application relates to the technical field of block chains, in particular to a cross-platform medicine collection price synchronization method based on a block chain and a related device.
Background
Generally, under the popularization of concentrated medicine purchasing, the aim of changing prices by quantity is achieved by concentrating the medicine purchasing demands of local areas and jointly tendering purchasing, and the expenses of medicine expenses of countries and patients are reduced. The price of the medicine is greatly reduced in centralized purchase of the medicine, but the centralized purchase of the medicine is not unified nationwide but is unified in local areas.
Price information of medical centralized purchasing platforms in various regions is synchronous, the platforms are generally transmitted and shared point to point according to a protocol according to requests, meanwhile, the medical centralized purchasing platforms are more, the medicines are more and less popular, the medical prices are followed by the online, space for committing personal committing personal committing fraud exists, and price information is easy to tamper. Therefore, the related information of the medicine price cannot be effectively synchronized, the reliability of global synchronization is poor, and the medicine price has the problem of many uncoordinated areas.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present application and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.
Disclosure of Invention
The utility model aims to provide a price synchronization scheme is adopted to cross platform medicine collection based on block chain, and then effectively promote the reliability of cross platform medicine collection price synchronization to a certain extent at least.
According to one aspect of the application, a block chain-based cross-platform medicine collection price synchronization method is provided, and comprises the following steps:
acquiring source information and historical drug bidding records of each medical centralized purchasing platform, and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information;
inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the centrality of the price influence of each medicine centralized purchasing platform on the target type medicine;
dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value;
associating platforms in each of said subsets of platforms as a block link point member with a partition block chain for each of said subsets of platforms;
and connecting each partitioned block chain through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chains based on the corresponding block chain link points, the intermediate node synchronizes the medicine price related information of the total platform block chain.
In an exemplary embodiment of the present application, the dividing each of the medical centralized purchasing platforms into a plurality of platform subsets according to the centrality label includes:
and clustering the medicine centralized purchasing platforms based on the centrality labels of the medicine centralized purchasing platforms to obtain a plurality of platform subsets.
In an exemplary embodiment of the present application, the inputting the source information, the historical drug bidding record and the drug price restriction information corresponding to each of the centralized medicine purchasing platforms into a centrality evaluation model to obtain a centrality label corresponding to each of the centralized medicine purchasing platforms includes:
and inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label and a centrality score corresponding to each medicine centralized purchasing platform.
In an exemplary embodiment of the present application, the dividing each of the medical centralized purchasing platforms into a plurality of platform subsets according to the centrality label includes:
acquiring a centrality label corresponding to a centrality score higher than a preset threshold value of each medicine centralized purchasing platform as a classification label;
and based on the classification labels, clustering each medicine centralized purchasing platform to obtain a plurality of platform subsets.
In an exemplary embodiment of the present application, the corresponding of the platforms in each of the subsets of platforms as a block link point member to the partition block chain of each of the subsets of platforms includes:
taking the platform in each platform subset as a block chain node;
dividing the block chain link points corresponding to each platform subset into a plurality of node sets according to the source information of the platform;
and after constructing the region chains based on each node set, connecting all the region chains with each other to obtain the partition block chain corresponding to each platform subset.
In an exemplary embodiment of the present application, the connecting each partition block chain through an intermediate node to obtain an overall platform block chain includes:
selecting one node from each partition block chain as an alliance main node;
and connecting all the allied main nodes through intermediate nodes to obtain the total platform block chain.
In an exemplary embodiment of the present application, the connecting each partition block chain through an intermediate node to obtain an overall platform block chain includes:
according to the centrality scores corresponding to the medicine centralized purchasing platforms, one node with the highest centrality score sum is obtained from each partitioned block chain and serves as an alliance main node;
and connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
According to an aspect of the application, a block chain-based cross-platform medicine collection price synchronization device is characterized by comprising:
the acquisition module is used for acquiring source information and historical drug bidding records of each medical centralized purchasing platform and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information;
the evaluation module is used for inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on target type medicines;
the dividing module is used for dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value;
a first building module for corresponding platforms in each of said subsets of platforms as a block link point member to a partition block chain of each of said subsets of platforms;
and the second construction module is used for connecting each partitioned block chain through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chain based on the corresponding block chain link point, the intermediate node synchronizes the medicine price related information of the total platform block chain.
According to an aspect of the application, there is provided a computer readable storage medium having stored thereon program instructions, characterized in that the program instructions, when executed by a processor, implement the method of any of the above.
According to an aspect of the present application, there is provided an electronic device, comprising:
a processor; and
a memory for storing program instructions for the processor; wherein the processor is configured to perform any of the methods described above via execution of the program instructions.
The application relates to a block chain-based cross-platform medicine collection price synchronization method and a related device.
Firstly, acquiring source information and historical drug bidding records of each medical centralized purchasing platform, and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information; the relevant characteristic information forming the medicine price corresponding to each medicine centralized purchasing platform can be completely acquired. Then, inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform; the centrality label of each platform can be reliably evaluated through the centrality evaluation model based on the characteristic information corresponding to each platform, and the centrality label can indicate the centrality of the price influence of each medicine centralized purchasing platform on the target type medicines. Then, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality label; the platforms can be classified based on price impact centrality, so that the price impact centrality for target type drugs among the medical centralized purchasing platforms in the platform subset is similar. Then, taking the platforms in each of the subsets of platforms as block link point members corresponding to the partition block chains of each of the subsets of platforms; because the price of each platform in the partition block chain influences the similarity of the centrality, indexes established by the partition block chain such as price chaining, approximation and the like are easy to realize, and the medicine price related information can be reliably and effectively shared through the partition block chain. And finally, connecting the partitioned block chains through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chains based on the corresponding block link points, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each partition block chain is coupled through the intermediate node, information synchronization among the partition block chains is carried out, on the basis of local effective synchronization of the partition block chains, the global coordination synchronization of the intermediate node is used for guaranteeing the global reliability of medicine price information synchronization, the problem of invalid sharing caused by various differences among different platforms is avoided, the safety and the unchangeability of information are effectively guaranteed through sharing on the chain, and then the reliability of cross-platform medicine collection price synchronization is effectively improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
Fig. 1 schematically illustrates a flow chart of a block chain based cross-platform medical collection price synchronization method.
Fig. 2 schematically illustrates an application scenario example diagram of a block chain-based cross-platform medicine collection price synchronization method.
FIG. 3 schematically illustrates a flow diagram of a method of partitioning into a plurality of platform subsets.
Fig. 4 schematically shows a block diagram of a block chain based cross-platform medical collection price synchronization apparatus.
Fig. 5 schematically illustrates an example block diagram of an electronic device for implementing the blockchain-based cross-platform medical collection price synchronization method described above.
Fig. 6 schematically illustrates a computer-readable storage medium for implementing the blockchain-based cross-platform medical collection price synchronization method described above.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present application.
Furthermore, the drawings are merely schematic illustrations of the present application and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the present exemplary embodiment, a block chain-based cross-platform medicine collection price synchronization method is first provided, and the block chain-based cross-platform medicine collection price synchronization method may be executed on a server, or may be executed on a server cluster or a cloud server, or the like. Referring to fig. 1, the block chain-based cross-platform medicine collection price synchronization method may include the following steps:
step S110, acquiring source information and historical drug bidding records of each medical centralized purchasing platform, and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information;
step S120, inputting source information, historical medicine bid records and medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on target type medicines;
step S130, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value;
step S140, taking the platforms in each platform subset as a block chain link point component corresponding to each platform subset;
and S150, connecting the partitioned block chains through intermediate nodes to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chains based on the corresponding block link points, the intermediate nodes synchronize the medicine price related information of the total platform block chain.
In the block chain-based cross-platform medicine centralized acquisition price synchronization method, firstly, source information and historical medicine bidding records of each medicine centralized purchasing platform are obtained, and medicine price restriction information of the source of each medicine centralized purchasing platform is obtained according to the source information; the relevant characteristic information forming the medicine price corresponding to each medicine centralized purchasing platform can be completely acquired. Then, inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform; the centrality label of each platform can be reliably evaluated through the centrality evaluation model based on the characteristic information corresponding to each platform, and the centrality label can indicate the centrality of the price influence of each medicine centralized purchasing platform on the target type medicines. Then, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality label; the platforms can be classified based on price impact centrality, so that the price impact centrality for target type drugs among the medical centralized purchasing platforms in the platform subset is similar. Then, taking the platforms in each of the subsets of platforms as block link point members corresponding to the partition block chains of each of the subsets of platforms; because the price of each platform in the partition block chain influences the similarity of the centrality, indexes established by the partition block chain such as price chaining, approximation and the like are easy to realize, and the medicine price related information can be reliably and effectively shared through the partition block chain. And finally, connecting the partitioned block chains through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chains based on the corresponding block link points, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each partition block chain is coupled through the intermediate node, information synchronization among the partition block chains is carried out, on the basis of local effective synchronization of the partition block chains, the global coordination synchronization of the intermediate node is used for guaranteeing the global reliability of medicine price information synchronization, the problem of invalid sharing caused by various differences among different platforms is avoided, the safety and the unchangeability of information are effectively guaranteed through sharing on the chain, and then the reliability of cross-platform medicine collection price synchronization is effectively improved.
Hereinafter, each step in the above block chain based cross-platform medicine collection price synchronization method in the present exemplary embodiment will be explained and explained in detail with reference to the drawings.
In step S110, the source location information and the historical drug bid records of each of the centralized pharmaceutical procurement platforms are acquired, and the drug price restriction information of the source location of each of the centralized pharmaceutical procurement platforms is acquired based on the source location information.
In the embodiment of the present example, referring to fig. 2, the server 210 may obtain the source information and the historical bid information of the centralized medicine purchasing platform from the server 220 of the centralized medicine purchasing platform; meanwhile, the server 210 may obtain the price restriction information of the source of each centralized pharmaceutical procurement platform from the server 230 of the drug administration department associated with the server 220 of the centralized pharmaceutical procurement platform according to the source information. The server 210, the server 220, and the server 230 may be various terminal devices having an instruction processing function and a data storage function, such as a computer and a mobile phone, and are not limited herein.
The medicine centralized purchasing platform is a platform for centralizing medicine purchasing requirements and jointly bidding for purchasing, and different platforms have different bidding situations due to different sources, for example, different prices of the same medicine (possibly with different properties of production places, production parties and the like).
The source information may be set according to actual conditions, such as a city or a county.
The drug price restriction information of the source can be legally acquired from a service center of a drug regulatory agency, and the drug price restriction information can comprise restriction information such as suggested price and purchase restriction.
The historical drug bid records may include the number of users and types of users that each drug historically participated in bidding on each consolidated procurement platform.
The information can be acquired to completely acquire the relevant characteristic information forming the medicine price corresponding to each medicine centralized purchasing platform.
In step S120, the source information, the historical drug bid records, and the drug price constraint information corresponding to each of the centralized medicine purchasing platforms are input into the centrality evaluation model, so as to obtain a centrality label corresponding to each of the centralized medicine purchasing platforms, where the centrality label indicates a centrality of influence of each of the centralized medicine purchasing platforms on the price of the target type of drug.
In the embodiment of the present example, the centrality evaluation model is a deep learning model, for example, a multi-classification decision tree model, trained in advance, for analyzing and evaluating the centralized medicine procurement platform according to the source information, the historical medicine bidding records and the medicine price restriction information.
The centrality label corresponding to the target type of medicine (a certain medicine or a certain series of medicines) can be calibrated for each platform through the centrality evaluation model, the centrality label indicates that the price of the medicine centralized purchasing platform affects the centrality of the target type of medicine, namely the centrality can evaluate the centrality of the influence of each platform on the price of the certain medicine or the certain series of medicines. Centrality tags for example, the centrality tags of platform one may include A, B, C, F type drug center 4 tags and the centrality tags of platform two may include A, B, C, M type drug center 4 tags, where both platform one and platform two have A, B, C type drug center 3 tags, indicating that both platform one and platform two pairs have a certain degree of impact on the price development of A, B, C type drugs, but the degree of impact may be different.
The training method of the centrality evaluation model comprises the following steps: collecting information sample sets of source information, historical drug bidding records and drug price restriction information corresponding to each medical centralized purchasing platform, wherein each information sample is calibrated by an expert to form a corresponding centrality label and a centrality score; then, the information samples in the information sample set are respectively input into a centrality evaluation model, the output centrality label and the centrality bisection similarity corresponding to the expert calibration are controlled to be higher than a preset threshold value through adjusting model parameters, and training is completed when the preset accuracy is reached.
And evaluating the centrality label of each platform by the centrality evaluation model reliably based on the characteristic information corresponding to each platform, wherein the centrality label can reliably indicate the centrality of the price influence of each medicine centralized purchasing platform on the target type medicine.
In step S130, each medicine centralized purchasing platform is divided into a plurality of platform subsets according to the centrality label, and the centrality label similarity between each medicine centralized purchasing platform in the platform subsets exceeds a predetermined threshold.
In the embodiment of the present example, the predetermined threshold may be set according to the requirement of sharing accurate management.
The central degree label similarity between the medicine centralized purchasing platforms in the platform subset exceeds a predetermined threshold, which may be that the number of the same labels between the medicine centralized purchasing platforms exceeds a predetermined number, for example, the first platform and the second platform belong to the same platform subset, and the number of the same labels of the first platform and the second platform is greater than 3. For example, the central label set of the first platform may include A, B, C, F type drug centers 4 labels, the central label set of the second platform may include A, B, C, M type drug centers 4 labels, the first platform and the second platform belong to the same platform subset, and the similarity of the label set between the first platform and the second platform is 75%, and the similarity is greater than 70%.
Dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality label; the platforms can be classified based on price impact centrality, so that the price impact centrality of each medicine centralized purchasing platform in the platform subset to the target type medicine is similar. The centrality labels of the medicine centralized purchasing platforms are compared with each other, then the similar medicine centralized purchasing platforms are divided into one type, the medicine centralized purchasing platforms in the platform subset have similarity in medicine management or price mechanism, and the medicine centralized purchasing platforms can be effectively shared at the same level. The reliability of the subsequent medicine price synchronization is improved, for example, a certain medicine price only has the referential property in the medicine centralized purchasing platform in the platform subset, and does not need to be synchronized with other platforms.
In one embodiment, dividing each centralized medicine procurement platform into a plurality of platform subsets according to the centrality label comprises:
and based on the centrality label of each medicine centralized purchasing platform, clustering each medicine centralized purchasing platform to obtain a plurality of platform subsets.
Performing clustering processing on each medicine centralized purchasing platform, wherein the existing unsupervised clustering model can be used for training, and the clustering model can aggregate platforms with the centrality degree label similarity exceeding a preset threshold value; and then, inputting the centrality label data sets of the medicine centralized purchasing platforms into a clustering model, and automatically clustering to obtain a plurality of platform subsets.
In one embodiment, the method for inputting the source information, the historical drug bid record and the drug price restriction information corresponding to each medical centralized purchasing platform into the centrality evaluation model to obtain the centrality label corresponding to each medical centralized purchasing platform includes:
and inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into the centrality evaluation model to obtain the centrality label and the centrality score corresponding to each medicine centralized purchasing platform.
The centrality score indicates the central degree of influence of the centralized medicine purchasing platform on the price of the target type medicine, namely, the centrality score can evaluate the centrality degree of influence of each platform on the price of a certain medicine or a series of medicines. For example, the centrality label of the first platform may include an a label, and the centrality label of the second platform may also include an a label, where the centrality label of the first platform may include a centrality score of 60 points corresponding to the a label, and the centrality label of the second platform may also include a centrality score of 80 points corresponding to the a label, which indicates that the price formation of the first platform and the second platform on the type a medicine has a certain influence, but the influence degree is that the first platform is smaller than the second platform.
In one embodiment, referring to fig. 3, dividing the medical centralized purchasing platforms into a plurality of platform subsets according to the centrality label includes:
step S310, acquiring centrality labels corresponding to centrality scores, which are higher than a preset threshold, of each medicine centralized purchasing platform as classification labels;
and step S320, clustering the medicine centralized purchasing platforms based on the classification labels to obtain a plurality of platform subsets.
Acquiring a centrality label corresponding to a centrality score higher than a predetermined threshold value of each medicine centralized purchasing platform as a classification label, for example, a centrality label set of the first platform may include 4 labels of A, B, C, F type medicine centers, and the centrality scores corresponding to the 4 labels are 30, 60, 55, and 90 in sequence; the predetermined threshold may be 50, at which time platform one, B, C, F type drug center 3 labels are obtained as classification labels.
And based on the classification labels, clustering the medicine centralized purchasing platforms to obtain a plurality of platform subsets. The reliability of platform subset partitioning can be further guaranteed.
In one embodiment, dividing each medical centralized purchasing platform into a plurality of platform subsets according to centrality labels, wherein the centrality label similarity between each medical centralized purchasing platform in the platform subsets exceeds a predetermined threshold value comprises: when the number of the medical centralized purchasing platforms is smaller than the preset number of the platforms, the similarity of the labels between the platforms is directly compared pairwise, and when the similarity of the central degree labels between the medical centralized purchasing platforms exceeds a preset threshold value, the platforms are divided into a group.
In step S140, a platform in each of the platform subsets is assigned to the partition block chain of each of the platform subsets as a block link point member.
In the embodiment of the example, by acquiring information of platform node devices constructed by each medical centralized procurement platform, adding the information into a pre-established price chain intelligent contract template, and constructing a partitioned block chain by interconnecting the node devices in the platform subset as block chain nodes, each node in the partitioned block chain can safely share medical price information.
Because the price of each platform in the partition block chain influences the similarity of the centrality, indexes established by the partition block chain such as price chaining, approximation and the like are easy to realize, and the medicine price related information can be reliably and effectively shared through the partition block chain.
In one embodiment, the partition block chain corresponding to each platform subset with platforms in each platform subset as the block link point member comprises:
taking the platforms in each platform subset as block chain nodes;
dividing block chain link points corresponding to each platform subset into a plurality of node sets according to source information of the platform;
after the region chains are constructed based on each node set, all the region chains are connected with each other to obtain a partition block chain corresponding to each platform subset.
The platforms corresponding to the platform subsets are divided into a plurality of node sets according to the source information among the platforms in the platform subsets, and the node sets in the area may be obtained by dividing the platforms originating from the same region range (for example, the same province or the distance between the platforms is smaller than a predetermined distance).
After the region chains are constructed based on each node set, all the region chains are connected with each other to obtain the partition block chain corresponding to each platform subset, and the complexity of the node connection relationship of the partition block chain can be reduced.
In step S150, the partition block chains are connected by an intermediate node to obtain a total platform block chain, so that after the medicine centralized procurement platforms synchronize the medicine price related information in the partition block chains based on the corresponding block link points, the intermediate node synchronizes the medicine price related information of the total platform block chain.
In the embodiment of the present example, the intermediate node is a node connected between partition block chains, each partition block chain is connected by the intermediate node to obtain a total platform block chain, and the intermediate node synchronizes the medicine price related information of the total platform block chain, so that the node coupling degree between the partition block chains can be reduced.
When the number of the intermediate nodes is multiple, each intermediate node may be connected with several partition block chains respectively, and then the intermediate nodes are interconnected.
Meanwhile, all the subarea block chains are connected through the intermediate node to obtain a total platform block chain, so that after the medicine price related information of all the medicine centralized purchasing platforms is synchronized in the subarea block chains based on the corresponding block chain link points, the intermediate node synchronizes the medicine price related information of the total platform block chain. After each partition block chain is coupled through the intermediate node, information synchronization among the partition block chains is carried out, on the basis of local effective synchronization of the partition block chains, the global coordination synchronization of the intermediate node is used for guaranteeing the global reliability of medicine price information synchronization, the problem of invalid sharing caused by various differences among different platforms is avoided, the safety and the unchangeability of information are effectively guaranteed through sharing on the chain, and then the reliability of cross-platform medicine collection price synchronization is effectively improved.
In one embodiment, connecting the partition block chains through an intermediate node to obtain an overall platform block chain includes:
selecting one node from each partition block chain as an alliance main node;
and connecting all alliance main nodes through intermediate nodes to obtain a total platform block chain.
One node is selected from each partition block chain as an alliance node, namely, one randomly selected block chain node is used as an alliance node, and the alliance node can represent the partition block chain.
All alliance main nodes are connected through intermediate nodes to obtain a total platform block chain, and the alliance main nodes and the intermediate nodes can cooperate to share information among the block chains.
In one embodiment, connecting the partition block chains through an intermediate node to obtain an overall platform block chain includes:
acquiring a node with the highest centrality score sum from each partition block chain as an alliance main node according to the centrality score corresponding to each medicine centralized purchasing platform;
and connecting the allied main nodes through intermediate nodes to obtain a total platform block chain.
For example, the centrality label set of the platform one may include A, B, C, F type medicine centers with 4 labels, the centrality scores corresponding to the 4 labels are 30, 60, 55 and 90 in sequence, the centrality score sum of the platform one is 235, and if the centrality score sum in the partition block chain is 235, the platform one is selected as the alliance master node.
In one embodiment, after step S150, the method further includes:
each medicine centralized purchasing platform uploads medicine price related information to a partition block chain corresponding to each medicine centralized purchasing platform based on the corresponding node;
the union main node in each partition block chain generates a medicine price report based on the medicine price related information uploaded by each node, and synchronizes the medicine price report to the intermediate node;
and the intermediate node determines a synchronous party of each medicine price report based on the broadcast chain request information of each partition block chain by using the collected medicine price reports of each partition block chain, and synchronizes the medicine price reports to the determined synchronous party.
The chain request information of each partition block chain indicates the medicine synchronization requirements of the nodes in each partition block chain or each partition block chain, wherein the chain request information may include information characteristics such as the quantity scale of a medicine centralized purchasing platform and the type scale of medicines on each partition block chain.
The synchronizer may be a certain partition block chain, or a certain target node,
furthermore, the intermediate node can perform global coordination and sharing in the block chain according to the chain request information.
The application also provides a cross-platform medicine collection price synchronizing device based on the block chain. Referring to fig. 4, the block chain-based cross-platform medicine collection price synchronizing apparatus may include an acquisition module 410, an evaluation module 420, a division module 430, a first construction module 440, and a second construction module 450. Wherein:
the obtaining module 410 may be configured to obtain source location information and historical drug bid records of each centralized medicine purchasing platform, and obtain drug price restriction information of the source location of each centralized medicine purchasing platform according to the source location information;
the evaluation module 420 may be configured to input the source location information, the historical drug bid record, and the drug price restriction information corresponding to each of the centralized medicine purchasing platforms into a centrality evaluation model to obtain a centrality label corresponding to each of the centralized medicine purchasing platforms, where the centrality label indicates a centrality of a price influence of each of the centralized medicine purchasing platforms on a target type of drug;
the dividing module 430 may be configured to divide each of the medical centralized purchasing platforms into a plurality of platform subsets according to the centrality label, so that the centrality label similarity between each of the medical centralized purchasing platforms in the platform subsets exceeds a predetermined threshold;
a first building module 440 may be configured to correspond platforms in each of the subsets of platforms to a partition chain of each of the subsets of platforms as a block link point member;
the second building module 450 may be configured to connect each of the partition block chains through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each of the medicine centralized procurement platforms is synchronized in the partition block chains based on the corresponding block link points, the intermediate node synchronizes the medicine price related information of the total platform block chain.
The specific details of each module in the above block chain-based cross-platform medicine collection price synchronization device have been described in detail in the corresponding block chain-based cross-platform medicine collection price synchronization method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
Moreover, although the steps of the methods herein are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the depicted steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application 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 disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a mobile terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, there is also provided an electronic device capable of implementing the above method.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 510 may execute step S110 shown in fig. 1, acquire source information and historical drug bidding records of each centralized medicine purchasing platform, and acquire drug price restriction information of the source of each centralized medicine purchasing platform according to the source information; step S120, inputting the source information, the historical medicine bid record and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on target type medicines; step S130, dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value; step S140, using the platforms in each of the platform subsets as block link point members to correspond to the partition block chains of each of the platform subsets; step S150, connecting each of the partition block chains through an intermediate node to obtain a total platform block chain, so that after each of the centralized medicine procurement platforms synchronizes the medicine price related information in the partition block chains based on the corresponding block link points, the intermediate node synchronizes the medicine price related information of the total platform block chain.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
The electronic device 500 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a client to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interface 550, and may also include a display unit 540 coupled to input/output (I/O) interface 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 560. As shown, the network adapter 560 communicates with the other modules of the electronic device 500 over the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application 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 disk, a removable hard disk, etc.) or on a network, and includes several instructions to make a computing device (which can be a personal computer, a server, a terminal device, or a network device, etc.) execute the method according to the embodiments of the present application.
In an exemplary embodiment of the present application, referring to fig. 6, there is also provided a computer readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 6, a program product 600 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the client computing device, partly on the client device, as a stand-alone software package, partly on the client computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the client computing device over any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., over the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the application being indicated by the following claims.
Claims (10)
1. A block chain-based cross-platform medicine collection price synchronization method is characterized by comprising the following steps:
acquiring source information and historical drug bidding records of each medical centralized purchasing platform, and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information;
inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the centrality of the price influence of each medicine centralized purchasing platform on the target type medicine;
dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, wherein the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value;
associating platforms in each of said subsets of platforms as a block link point member with a partition block chain for each of said subsets of platforms;
and connecting each partitioned block chain through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chains based on the corresponding block chain link points, the intermediate node synchronizes the medicine price related information of the total platform block chain.
2. The method of claim 1, wherein said dividing each of said medical intensive procurement platforms into a plurality of platform subsets according to said centrality label comprises:
and clustering the medicine centralized purchasing platforms based on the centrality labels of the medicine centralized purchasing platforms to obtain a plurality of platform subsets.
3. The method of claim 1, wherein the inputting the source information, the historical drug bidding record and the drug price restriction information corresponding to each centralized medicine purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each centralized medicine purchasing platform comprises:
and inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label and a centrality score corresponding to each medicine centralized purchasing platform.
4. The method of claim 3, wherein said dividing each of said medical intensive procurement platforms into a plurality of platform subsets according to said centrality label comprises:
acquiring a centrality label corresponding to a centrality score higher than a preset threshold value of each medicine centralized purchasing platform as a classification label;
and based on the classification labels, clustering each medicine centralized purchasing platform to obtain a plurality of platform subsets.
5. The method of claim 1, wherein said associating platforms in each of said subsets of platforms as a block link point member with a partition block chain for each of said subsets of platforms comprises:
taking the platform in each platform subset as a block chain node;
dividing the block chain link points corresponding to each platform subset into a plurality of node sets according to the source information of the platform;
and after constructing the region chains based on each node set, connecting all the region chains with each other to obtain the partition block chain corresponding to each platform subset.
6. The method of claim 1, wherein connecting each partition block chain via an intermediate node to obtain an overall platform block chain comprises:
selecting one node from each partition block chain as an alliance main node;
and connecting all the allied main nodes through intermediate nodes to obtain the total platform block chain.
7. The method of claim 3, wherein connecting each partition block chain via an intermediate node to obtain an overall platform block chain comprises:
according to the centrality scores corresponding to the medicine centralized purchasing platforms, one node with the highest centrality score sum is obtained from each partitioned block chain and serves as an alliance main node;
and connecting the alliance main nodes through intermediate nodes to obtain the total platform block chain.
8. A block chain-based cross-platform medicine collection price synchronizer is characterized by comprising:
the acquisition module is used for acquiring source information and historical drug bidding records of each medical centralized purchasing platform and acquiring drug price restriction information of the source of each medical centralized purchasing platform according to the source information;
the evaluation module is used for inputting the source information, the historical medicine bidding records and the medicine price restriction information corresponding to each medicine centralized purchasing platform into a centrality evaluation model to obtain a centrality label corresponding to each medicine centralized purchasing platform, wherein the centrality label indicates the price influence centrality of each medicine centralized purchasing platform on target type medicines;
the dividing module is used for dividing each medicine centralized purchasing platform into a plurality of platform subsets according to the centrality labels, so that the centrality label similarity between the medicine centralized purchasing platforms in the platform subsets exceeds a preset threshold value;
a first building module for corresponding platforms in each of said subsets of platforms as a block link point member to a partition block chain of each of said subsets of platforms;
and the second construction module is used for connecting each partitioned block chain through an intermediate node to obtain a total platform block chain, so that after the medicine price related information of each medicine centralized purchasing platform is synchronized in the partitioned block chain based on the corresponding block chain link point, the intermediate node synchronizes the medicine price related information of the total platform block chain.
9. A computer readable storage medium having stored thereon program instructions, characterized in that the program instructions, when executed by a processor, implement the method of any of claims 1-7.
10. An electronic device, comprising:
a processor; and
a memory for storing program instructions for the processor; wherein the processor is configured to perform the method of any of claims 1-7 via execution of the program instructions.
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