CN109658269B

CN109658269B - Medicine information processing method, device, medium and electronic equipment

Info

Publication number: CN109658269B
Application number: CN201811543889.2A
Authority: CN
Inventors: 高英明; 叶韶蘅
Original assignee: Taikang Insurance Group Co Ltd
Current assignee: Taikang Insurance Group Co Ltd
Priority date: 2018-12-17
Filing date: 2018-12-17
Publication date: 2021-02-26
Anticipated expiration: 2038-12-17
Also published as: CN109658269A

Abstract

The embodiment of the invention provides a medicine information processing method, a device, a medium and electronic equipment, wherein the medicine information processing method comprises the following steps: acquiring input medicine information; searching medicine classification information corresponding to the medicine information of each hierarchy in a medicine hierarchy classification model according to the medicine information; and acquiring expense payment rule data corresponding to the medicine information based on the medicine classification information. According to the technical scheme provided by the embodiment of the disclosure, the work efficiency is improved and the maintenance cost is reduced through the medicine level classification model.

Description

Medicine information processing method, device, medium and electronic equipment

Technical Field

The invention relates to the technical field of computers, in particular to a medicine information processing method, a medicine information processing device, a medicine information processing medium and electronic equipment.

Background

When the medical claims are checked, workers are required to check various information such as diseases, operations, medicines and the like, whether the information conforms to the responsibility range or not, and whether the information is false or not or whether the information is over-treated or not are met, so that the reasonable expense is controlled. When setting the drug inspection rule, different inspection rules may need to be set for drugs of the same active ingredient if the specifications or manufacturers of the drugs are different. Since this belongs to different goods from the point of view of goods management. Such a situation may require a lot of maintenance work, and once the maintenance is not timely, the fee control rule may be vulnerable.

In terms of prescriptions provided by clients when applying for medical claims, the habits of doctors are different, so that the quality of medicine data is different, some prescriptions provide detailed medicine information, and some prescriptions only have rough medicine information, which increases difficulty for medical claim examination.

Therefore, how to flexibly set the charge control rule and how to accurately position the medicine information are problems to be solved urgently at present.

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 invention 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 embodiment of the invention aims to provide a medicine information processing method, a medicine information processing device, a medicine information processing medium and electronic equipment.

Additional features and advantages of the invention will be set forth in the detailed description which follows, or may be learned by practice of the invention.

According to a first aspect of embodiments of the present invention, there is provided a medicine information processing method, including: acquiring input medicine information; searching medicine classification information corresponding to the medicine information of each hierarchy in a medicine hierarchy classification model according to the medicine information; and acquiring expense payment rule data corresponding to the medicine information based on the medicine classification information.

In some embodiments of the present invention, based on the foregoing solution, before searching, in a drug level classification model, drug classification information corresponding to the drug information of each level according to the drug information, the method further includes: establishing a drug level classification model, wherein the drug level classification model comprises: each level of medicine classification information and the membership between each level of medicine classification information, each sub-classification having one or more different parent classifications, and pay rule data set for each medicine classification information.

In some embodiments of the present invention, based on the foregoing solution, the finding, in a drug level classification model according to the drug information, drug classification information corresponding to the drug information of each level includes: and matching and judging the medicine information and the sub-classification in the Nth level in the medicine level classification model until all the sub-classifications of the same level are traversed, wherein N is a natural number.

In some embodiments of the present invention, based on the foregoing scheme, the traversing all the sub-classifications of the same hierarchy further comprises: and if the current level has the upper level, matching and judging the medicine information and the sub-classification of the upper level until all levels are traversed.

In some embodiments of the present invention, based on the foregoing scheme, the determining that the medicine information matches with a sub-classification in an nth level in the medicine level classification model further includes: and if the medicine information is matched with the subcategories, continuing to perform marking judgment on the subcategories, and if the subcategories are not marked, marking the subcategories and the corresponding expense payment rule data thereof.

In some embodiments of the present invention, based on the foregoing scheme, the performing a labeling judgment on the sub-classification includes: and judging whether the child classification has a parent classification, and if the child classification has the parent classification at the previous level to which the current level belongs, marking the parent classification and the corresponding expense claim rule data thereof.

In some embodiments of the present invention, based on the foregoing scheme, the sub-classification having a parent classification at a level above a current level includes: setting the parent classification as an N +1 th level child classification; and judging whether the N +1 level sub-classification exists in the parent classification or not until all levels are traversed.

According to a second aspect of embodiments of the present invention, there is provided a medicine information processing apparatus including: the data acquisition module is configured to acquire input medicine information; the information searching module is configured to search medicine classification information corresponding to the medicine information of each level in a medicine level classification model according to the medicine information; and the data acquisition module is configured to acquire the fee payment rule data corresponding to the medicine information based on the medicine classification information.

According to a third aspect of embodiments of the present invention, there is provided a computer-readable medium having stored thereon a computer program which, when executed by a processor, implements the method of processing drug information as described in the first aspect of the embodiments above.

According to a fourth aspect of embodiments of the present invention, there is provided an electronic apparatus, including: one or more processors; a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method for processing drug information as described in the first aspect of the embodiments above.

In the technical scheme provided by some embodiments of the invention, after the medicine hierarchical classification model and the flexible fee claim rule data are set, different hierarchical classifications in the medicine hierarchical classification model can be positioned according to different data detail degrees, no matter fuzzy medicine information or detailed medicine information is provided, proper medicine classification data and fee claim rule data can be positioned, and the medicine hierarchical classification model reduces the workload of workers, improves the working efficiency of the workers and simplifies the working process.

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 invention, as claimed.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort. In the drawings:

fig. 1 schematically shows a flow chart of a drug information processing method according to an embodiment of the present disclosure;

FIG. 2 schematically shows a flow chart of a method of drug information processing according to another embodiment of the present disclosure;

FIG. 3 schematically illustrates a schematic diagram of a drug level classification model according to an embodiment of the disclosure;

FIG. 4 schematically shows a flow chart of a method of drug information processing according to an embodiment of the present disclosure;

FIG. 5 is a schematic diagram illustrating a drug level classification model using the method of FIG. 4 in an embodiment of the present disclosure;

fig. 6 schematically shows a block diagram of a drug information processing apparatus according to an embodiment of the present disclosure;

fig. 7 schematically shows a block diagram of a drug information processing apparatus according to another embodiment of the present disclosure;

FIG. 8 illustrates a schematic structural diagram of a computer system suitable for use in implementing the electronic device of an embodiment of the present disclosure.

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.

Furthermore, 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 provide a thorough understanding of embodiments of the invention. One skilled in the relevant art will recognize, however, that the invention may 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 methods, devices, implementations or operations have not been shown or described in detail to avoid obscuring aspects of the invention.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. 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 means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

Fig. 1 schematically shows a flowchart of a drug information processing method according to an embodiment of the present disclosure.

Referring to fig. 1, a medicine information processing method according to an embodiment of the present disclosure includes steps S101-S103.

Step S101, input medicine information is acquired.

When the user inquires according to the prescription prescribed by the doctor, the user needs to input information of the medicine, and the medicine information may be a product name of the medicine, a specification of the medicine, a type of the medicine, or the like, which is not limited in the present disclosure.

And S102, searching medicine classification information corresponding to the medicine information of each level in a medicine level classification model according to the medicine information.

The medicine level classification model manages the medicine information in a layered classification manner, for example, medicines with the same information except for different sizes of packaging units do not need to be set in the medicine level classification model respectively, and can be set as one classification.

Step S103, acquiring the fee payment rule data corresponding to the medicine information based on the medicine classification information.

And searching corresponding medicine information in the medicine hierarchical classification model based on the medicine classification information, wherein each medicine information has corresponding expense claim rule data.

According to the technical scheme provided by the embodiment shown in fig. 1, the medicine classification information and the fee claim rule data can be quickly and accurately acquired through the medicine hierarchical classification model, so that the working efficiency is improved, and the maintenance cost is reduced.

Fig. 2 schematically shows a flowchart of a drug information processing method according to another embodiment of the present disclosure.

Referring to fig. 2, a medicine information processing method according to another embodiment of the present disclosure includes steps S201-S204.

Step S201, a medicine level classification model is established.

In some embodiments of the invention, the drug level classification model comprises: each level of medicine classification information and the membership between each level of medicine classification information, each sub-classification having one or more different parent classifications, and pay rule data set for each medicine classification information.

When the medicines are classified hierarchically, common features can be extracted from similar medicines according to medical standards, and then related classification can be performed according to medical features, for example, the categories of the medicines (belonging to traditional Chinese medicines or western medicines), the specifications of the medicines, the dosage forms of the medicines, the indications of the medicines or the contraindications of the medicines, which is not limited in the disclosure.

For example, since the medicines A with the same generic name may have different actions due to different administration modes, dosages, and usages, the sub-classifications corresponding to the medicines A may be medicine A1 (generic name: medicine A, usage: oral), medicine A2 (generic name: medicine A, usage: injection), medicine A is the parent classification of medicine A1 (generic name: medicine A, usage: oral), and medicine A is also the parent classification of medicine A2 (generic name: medicine A, usage: injection).

The medicine can be flexibly classified according to the required levels, and the levels can be set by self and the related medicines can be classified, which is not limited by the disclosure.

By constructing a medicine hierarchical classification model, the hierarchical relationship and classification relationship of multi-level medicines can be clearly shown, and flexible fee paying rule data can be set for different medicine classification information.

In step S202, the input medicine information is acquired.

Step S203, searching medicine classification information corresponding to the medicine information of each hierarchy in a medicine hierarchy classification model according to the medicine information.

And step S204, acquiring expense payment rule data corresponding to the medicine information based on the medicine classification information.

In the embodiment, the classification information of the medicines is subjected to the hierarchical classification and the fee claim rule data are set through the establishment of the medicine hierarchical classification model, so that the medicine classification information and the fee claim rule data can be accurately positioned, and the efficiency of later-stage data maintenance is improved.

For ease of understanding, the embodiment of the present disclosure provides a structural schematic diagram of a medicine level classification model. It should be noted that the structure of the medicine hierarchical classification model in fig. 3 is only an example, and the present disclosure does not limit the number of hierarchical levels, the number of classifications, and the like of the model.

As shown in fig. 3, in the drug hierarchy classification model, the classification n, m refers to the mth classification located in the hierarchy n, for example, the classification 1.2 refers to the second classification located in the hierarchy 1. Located in level 3 are class 3.1 and class 3.2, and located in level 2 are class 2.1, class 2.2 and class 2.3. Both class 2.1 and class 2.2 are sub-classes of class 3.1, and class 2.3 is a sub-class of class 3.2. Located in level 1 are class 1.1, class 1.2, class 1.3 and class 1.4. Class 1.1 and class 1.2 are child classes of class 2.1, and class 1.2, class 1.3 and class 1.4 are child classes of class 2.2, so class 1.2 has two parent classes, class 2.1 and class 2.2.

In the embodiment, both fuzzy medicine classification information and detailed medicine classification information can be set in proper hierarchy and classification, and subsequent data input of both coarse granularity and fine granularity can be positioned to corresponding results in the medicine hierarchy classification model.

Fig. 4 schematically shows a flowchart of a drug information processing method according to an embodiment of the present disclosure.

As shown in fig. 4, a medicine information processing method according to an embodiment of the present disclosure includes steps S401 to S411.

In step S401, the input medicine information is acquired.

In step S402, the sub-category 1 in level 1 is acquired.

Step S403, determining whether the medicine information includes or is equal to the information of the current sub-classification, if not, executing step S404, and if so, executing step S408.

Step S404, determining whether there is a next sub-classification in the current hierarchy, if not, performing step S405, and if so, performing step S407.

Step S405, determining whether the current level has the previous level, if yes, performing step S406, otherwise, ending the query.

In step S406, the sub-classification 1 of the previous level to which the current level belongs is obtained, and the step S403 is continuously executed.

Step S407, acquiring a next sub-classification of the current hierarchy, and continuing to execute step S403.

Step S408, determine whether the current sub-classification is marked, if yes, execute step S404, otherwise execute step S409.

In step S409, the current sub-category and the pay-off rule data are marked.

Step S410, determining whether the current sub-classification has a parent classification, if yes, performing step S411, and if no, performing step S404.

In step S411, the parent classification is set as the current child classification, and step S410 is continued.

In the above embodiment, all the medicine classification information related to the input medicine information is located by traversing each sub-classification in the medicine hierarchical classification model, so that the user can obtain the corresponding medicine classification information and the fee payment rule data.

If the embodiment of the present invention is taken as an example in conjunction with the medicine level classification model shown in fig. 5, the processing procedure shown in fig. 4 is utilized to perform the processing, as shown in fig. 5, the medicine level classification model has n levels, the 1 st classification at level 3 is the medicine with the classification number CAT _3_1 (medicine DA. classification 3.1), and the classification at level 2 is the medicine with the classification number CAT _2_1 (medicine DA, oral injection classification 2.1), the medicine with the classification number CAT _2_2 (medicine DA, eye ointment classification 2.2) and the medicine with the classification number CAT _2_3 (medicine Dn, ointment classification 2.3). The classifications at level 1 are, in order, a drug with classification number a0001 (drug DA, injection, 5 ml. classification 1.1), a drug with classification number a0002 (drug DA, injection, 10 ml. classification 1.2), a drug with classification number a0003 (drug DA, oral, 5 ml. classification 1.3), a drug with classification number a0004 (drug DA, oral, 10 ml. classification 1.4), a drug with classification number a0005 (drug DA, eye ointment, 5 ml. classification 1.5), and a drug with classification number a0006 (drug Dn, ointment, classification 1.6), and so on.

Corresponding fee payment rule data is set for the medicines, and the rule data and the corresponding medicine classification information can be stored in a tabular form, for example, the fee payment rule data can be as shown in table 1:

TABLE 1

If the prescription prescribed by the doctor is (medicine DA, oral injection, disease DS1) and the customer makes a claim based on the prescription, then the classification number CAT _2_1 can be located according to "medicine DA, oral injection" and the corresponding application rules are R0001, marking rules R0001 and CAT _2_1, and marking the parent classification of CAT _2_1 and its rules, i.e., CAT _3_1 and application rule R0004. If the disease DS1 meets the indication range of rule R00001 or R0004, the corresponding reimbursement rule is executed.

If the prescription prescribed by the doctor is (drug DA, disease B), then CAT _3_1 can be located according to "drug DA", applying rule R0004, marking both. If the disease DS2 meets the indication range of the rule R0004, the corresponding reimbursement rule is executed.

According to the technical scheme provided by the embodiment shown in fig. 5, the medicine hierarchical classification model can be used for positioning to different hierarchical classifications in the medicine hierarchical classification model according to different data detail degrees, and the appropriate medicine classification data and the appropriate expense payment rule data can be positioned no matter fuzzy medicine information or detailed medicine information is provided.

Fig. 6 schematically shows a block diagram of a medicine information processing apparatus according to an embodiment of the present disclosure.

Referring to fig. 6, a medicine information processing apparatus 600 according to an embodiment of the present disclosure includes: a medicine information acquisition module 601, a classification information search module 602, and a rule data acquisition module 603.

A medicine information acquiring module 601 configured to acquire input medicine information;

a classification information searching module 602 configured to search, according to the drug information, drug classification information corresponding to the drug information of each level in a drug level classification model;

the rule data obtaining module 603 is configured to obtain fee payment rule data corresponding to the drug information based on the drug classification information.

In the embodiment, the classification information searching module and the rule data acquiring module can quickly and accurately acquire the medicine classification information and the fee claim rule data, so that the working efficiency is improved, and the maintenance cost is reduced.

Fig. 7 schematically shows a block diagram of a medicine information processing apparatus according to another embodiment of the present disclosure.

Referring to fig. 7, a medicine information processing apparatus 700 according to an embodiment of the present invention includes: the system comprises a level model establishing module 701, a medicine information obtaining module 702, a classification information searching module 703 and a rule data obtaining module 704.

A hierarchical model building module 701 configured to build a medicine hierarchical classification model.

A drug information acquisition module 702 configured to acquire input drug information;

the classification information searching module 703 is configured to search, according to the drug information, drug classification information corresponding to the drug information of each level in a drug level classification model;

a rule data obtaining module 704 configured to obtain the fee payment rule data corresponding to the drug information based on the drug classification information.

In some embodiments of the present disclosure, the drug hierarchical classification model established by the hierarchical model establishing module 701 includes: each sub-classification has one or more different parent classifications. The hierarchy model establishing module 701 may further include a claim rule management module configured to set fee claim rule data for each medicine classification information. A schematic diagram of the drug level classification model is shown in fig. 3.

In the embodiment, the classification information of the medicine is subjected to hierarchical classification and the fee claim rule data are set through the hierarchical model establishing module and the claim rule management module, so that the medicine classification information and the fee claim rule data can be accurately positioned, the later maintenance cost is reduced, and the working efficiency is improved.

In addition, the functions of each module in the systems shown in fig. 6 and fig. 7 refer to the related description in the above method embodiments, and are not described again here.

Referring now to FIG. 8, shown is a block diagram of a computer system 800 suitable for use in implementing the electronic devices of embodiments of the present disclosure. The computer system 800 of the electronic device shown in fig. 8 is only an example, and should not bring any limitation to the function and the scope of use of the embodiments of the present invention.

As shown in fig. 8, the computer system 800 includes a Central Processing Unit (CPU)801 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)802 or a program loaded from a storage section 808 into a Random Access Memory (RAM) 803. In the RAM 803, various programs and data necessary for system operation are also stored. The CPU 801, ROM 802, and RAM 803 are connected to each other via a bus 804. An input/output (I/O) interface 805 is also connected to bus 804.

The following components are connected to the I/O interface 805: an input portion 806 including a keyboard, a mouse, and the like; an output section 807 including a signal such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage portion 808 including a hard disk and the like; and a communication section 809 including a network interface card such as a LAN card, a modem, or the like. The communication section 809 performs communication processing via a network such as the internet. A drive 810 is also connected to the I/O interface 805 as necessary. A removable medium 811 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 810 as necessary, so that a computer program read out therefrom is mounted on the storage section 808 as necessary.

In particular, according to an embodiment of the present invention, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the invention include a computer program product comprising a computer program embodied on a computer-readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program can be downloaded and installed from a network through the communication section 809 and/or installed from the removable medium 811. The computer program executes the above-described functions defined in the system of the present application when executed by the Central Processing Unit (CPU) 801.

It should be noted that the computer readable medium shown in the present invention can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer 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 of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, 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. In the present invention, a computer 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. In the present invention, however, a computer readable signal medium may include a propagated data signal with computer 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 computer readable signal medium may also be any computer readable medium that is not a computer 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 computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present invention may be implemented by software, or may be implemented by hardware, and the described units may also be disposed in a processor. Wherein the names of the elements do not in some way constitute a limitation on the elements themselves.

As another aspect, the present application also provides a computer-readable medium, which may be contained in the electronic device described in the above embodiments; or may exist separately without being assembled into the electronic device. The computer readable medium carries one or more programs which, when executed by the electronic device, cause the electronic device to implement the drug information processing method as described in the above embodiments.

For example, the electronic device may implement the following as shown in fig. 1: step S101, acquiring input medicine information; step S102, searching medicine classification information corresponding to the medicine information of each level in a medicine level classification model according to the medicine information; step S103, acquiring the fee payment rule data corresponding to the medicine information based on the medicine classification information.

As another example, the electronic device may implement the various steps shown in fig. 2-5.

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 invention. 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.

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 embodiment 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 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 touch terminal, or a network device, etc.) to execute the method according to the embodiment of the present invention.

Other embodiments of the invention 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 invention 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 invention being indicated by the following claims.

It will be understood that the invention is not limited to the precise arrangements 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 invention is limited only by the appended claims.

Claims

1. A method for processing drug information, comprising:

acquiring input medicine information;

searching medicine classification information corresponding to the medicine information of each level in a medicine level classification model according to the medicine information, wherein the medicine classification information comprises fuzzy medicine classification information and/or detailed medicine classification information, and the medicine level classification model comprises: each sub-classification has one or more different father classifications, and pay rule data is set for each medicine classification information;

acquiring expense claim rule data corresponding to the medicine information based on the medicine classification information;

the searching for the medicine classification information corresponding to the medicine information of each hierarchy in the medicine hierarchy classification model according to the medicine information includes:

matching and judging the medicine information with sub-classifications in an Nth level in the medicine level classification model, if the medicine information is matched with the sub-classifications, continuing marking and judging the sub-classifications, and if the sub-classifications are not marked, marking the sub-classifications and corresponding expense claim payment rule data until all sub-classifications in the same level are traversed, wherein N is a natural number;

and if the current level has the upper level, matching and judging the medicine information and the sub-classification of the upper level until all levels are traversed.

2. The method of claim 1, wherein the searching for the drug classification information corresponding to the drug information of each level in a drug level classification model according to the drug information further comprises:

and establishing a medicine level classification model.

3. The method of claim 1, wherein said making a labeling decision for said sub-classification further comprises:

and judging whether the child classification has a parent classification, and if the child classification has the parent classification at the previous level to which the current level belongs, marking the parent classification and the corresponding expense claim rule data thereof.

4. The method of claim 3, wherein the sub-classification having a parent classification at a level above a current level comprises:

setting the parent classification as an N +1 th level child classification;

and judging whether the N +1 level sub-classification exists in the parent classification or not until all levels are traversed.

5. A medicine information processing apparatus characterized by comprising:

a medicine information acquisition module configured to acquire input medicine information;

a classification information searching module configured to search, according to the drug information, drug classification information corresponding to the drug information of each level in a drug level classification model, where the drug classification information includes fuzzy drug classification information and/or detailed drug classification information, and the drug level classification model includes: each sub-classification has one or more different father classifications, and pay rule data is set for each medicine classification information; the method specifically comprises the following steps: matching and judging the medicine information with sub-classifications in an Nth level in the medicine level classification model, if the medicine information is matched with the sub-classifications, continuing marking and judging the sub-classifications, and if the sub-classifications are not marked, marking the sub-classifications and corresponding expense claim payment rule data until all sub-classifications in the same level are traversed, wherein N is a natural number; if the current level has the upper level, matching and judging the medicine information and the sub-classification of the upper level until all levels are traversed;

and the rule data acquisition module is configured to acquire the fee payment rule data corresponding to the medicine information based on the medicine classification information.

6. A computer-readable medium on which a computer program is stored, the program, when executed by a processor, implementing the drug information processing method according to any one of claims 1 to 4.

7. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the drug information processing method according to any one of claims 1 to 4.