JP2021015412A - Medicine name specification system, medicine name specification method, processing device, and computer program - Google Patents

Abstract

To easily specify a common name candidate corresponding to a medicine name uniquely given by a medical institution.SOLUTION: In big data 5 stored in a cloud, many medicine names (unique names) uniquely given by a medical institution are stored together with miscellaneous information, and a server device 10 extracts a unique name by searching the big data 5 with a name key word included in common names of medicines. Then, the server device 10 determines whether or not the resolved word obtained by resolving a part excluding the name key word from the common name of the medicine by meaning units, is included in the extracted unique name, and specifies, as a common name candidate for the unique name, the name key word used by search and the common name including the resolved word determined to be included from a link database 13 in which many common names are stored.SELECTED DRAWING: Figure 1

Description

The present invention relates to a drug name identification system, a drug name identification method, a processing device, and a computer program that facilitates identification of a general common name corresponding to a unique name used by a medical institution.

Conventionally, various medicines have been given names, but usually, a plurality of different kinds of names are used for the same medicine based on different viewpoints. The types of different names are the notification name used when notifying in the official bulletin, the brand name (or product name) by the manufacturer (pharmaceutical company) of the drug, and the receipt computer processing system (electronic medical fee schedule). There are the name of the drug in the receipt computer processing system used in the system that processes medical fees using the receipt, and the name of the drug listed in the NHI price standard. In addition, each of the notification name, brand name, receipt computer processing system drug name, and drug price standard listed drug name basically has the same characteristic main part of the name that identifies the drug, and additional notes other than the main part. In many cases, the names are different, and depending on the drug, any two, any three, or all of the notification name, brand name, receipt computer processing system drug name, and drug price standard listed drug name may be used. It may have the same name.

In addition to the above-mentioned names, identification information (codes) for identifying drugs are also used for drugs, and these codes also have different viewpoints for the same drug as in the case of the above-mentioned names. It has several different types of codes based on it. The types of codes used are HOT code (reference number), drug price standard listed drug code consisting of 12-digit alphanumeric information, individual drug code (YJ code), receipt computer processing system code, GTIN (GS1). ) Code, JAN code, ATC code, etc. There are different types of HOT codes (reference numbers) depending on the purpose of use. Specifically, 13-digit code (HOT-13), 11-digit code (HOT-11), 9 There are a digit code (HOT-9) and a 7-digit code (HOT-7).

In order to make it possible to use multiple different types of names and codes for these same drugs for remuneration claims, management, research, research and development, etc. related to drugs, the correspondence of each name is organized. It is stored in the database. Then, an environment has already been prepared in which a user can access such a database and perform an appropriate search or the like to obtain desired information such as a name or code that is commonly used for pharmaceutical products.

An example of a database of pharmaceutical products and a search for the database is disclosed in Patent Document 1 below (see FIG. 3 and the like in Patent Document 1 for the database). Further, in Patent Document 2 below, as a search method when the drug name stored in the database contains noise, the character string representing the drug name is divided and the frequency of matching with the character string used in the search is obtained. It is disclosed that the drug names are output in the order according to the frequency of the drug.

Further, Patent Document 3 below discloses that one drug name is stored in a database in association with a plurality of similar drug names (FIG. 4, paragraphs 0038, 0039, etc. of Patent Document 3). ), Similar drug names are also mentioned in Patent Document 4 below. Furthermore, as an example of extracting desired information from big data by searching, cases and cases relating to pharmaceuticals are disclosed in Patent Document 5 below (see the description in paragraphs 0003, 0019, 0121, etc. of Patent Document 5).

In addition to using text data (character data) as the information related to the name of the drug used for the above-mentioned search, etc., information such as characters, numbers, alphabets, symbols, etc. printed on the package of the drug, etc. is read. It is disclosed in the following Patent Documents 6 to 8 that the scanned image, the captured image obtained by capturing the above information, and the like (image data) are used.

Japanese Unexamined Patent Publication No. 2013-58121 Japanese Unexamined Patent Publication No. 2018-181370 Japanese Unexamined Patent Publication No. 2006-25839 JP-A-2009-69943 JP-A-2017-201543 Japanese Unexamined Patent Publication No. 2014-120156 Japanese Unexamined Patent Publication No. 2009-189875 Japanese Unexamined Patent Publication No. 2004-167158

Regarding the names of various medicines, in addition to the above-mentioned generally accepted names (hereinafter referred to as common names), medical institutions (hospitals, clinics, pharmacies, etc.) use their own names attached to the medicines. I have something to do. The name of the drug uniquely given by such a medical institution (hereinafter referred to as the original name) is the distinctive name part in the common name of the drug or the component name representing the component of the drug. It is often configured in combination with characters that represent the form. Such a unique name is not included in the storage target of the database storing the above-mentioned common names of pharmaceutical products because it is used only in a limited range of individual medical institutions and is not widely and generally used.

Therefore, for users outside the medical institution, it is difficult to accurately grasp which drug the unique name means, and the distinctive name part included in the unique name or the component name part representing the component of the drug. Therefore, there is a problem that it is necessary to guess a common name corresponding to the original name. Moreover, since there are usually a plurality of common names that have a common distinctive name part and component name part, even if the distinguishable name part and the component name part are referred to, the unique name is used. There is a problem that it is difficult to narrow down the correct common name for.

In addition, universities, research institutes, pharmaceutical companies, etc. will investigate what kind of medicines are actually used and to what extent at each medical institution in order to confirm the usage status of medicines and conduct research. Sometimes. Even when conducting such a survey, the above-mentioned problems become a bottleneck, and it is difficult to proceed with the survey efficiently.

Moreover, the subject of the investigation regarding pharmaceutical products may be big data, files, etc. in which the unique name of each pharmaceutical product described above is stored together with various other miscellaneous information. In this case, the investigator After extracting the unique name by the medical institution from big data, files, etc., it becomes necessary to specify the common name and identification information (code) of the drug for the unique name, and the above-mentioned problem becomes more apparent. Since the inventions described in the above-mentioned Patent Documents 1 to 8 only deal with the common names of pharmaceutical products, they cannot be applied to finding a common name for each pharmaceutical product used in each medical institution.

The present invention has been made in view of such circumstances, and it is possible to provide a candidate for a common name according to the unique name of a drug by a medical institution so that it is easier to find a correct common name than in the past. It is an object of the present invention to provide a drug name identification system, a drug name identification method, a processing device, and a computer program.
Another object of the present invention is to provide a drug name identification system, a drug name identification method, a processing device, and a computer program that enable a medical institution to easily find identification information for a unique name of a drug as compared with the conventional case. To do.

Further, the present invention extracts a unique name when a medical institution makes a big data or a file containing a unique name of a drug a subject of investigation regarding the actual usage of the drug, etc., and uses a common name for the extracted unique name. An object of the present invention is to provide a drug name identification system, a drug name identification method, a processing device, and a computer program that can smoothly perform a series of processes for identifying candidates and identification information.

In order to solve the above problems, the drug name identification system according to the present invention excludes the common name, the name keyword corresponding to the main name part of the common name, and the main name part from the common name for a plurality of drugs. It is provided with a drug name link database in which parts are stored in association with decomposition words decomposed in semantic units, and a processing device that performs processing related to identification of a candidate for a common name for a unique name of a drug based on the drug name link database. In the drug name identification system, the processing apparatus has a determination means for determining whether or not a decomposition word is included in the original name of the original name including the name keyword, and a name keyword included in the original name. It is characterized by comprising a specific means for performing a process of specifying a common name associated with the decomposition word found to be included by the determination means in the drug name link database as a candidate for a common name for the original name. To do.

Further, the drug name identification system according to the present invention includes a plurality of name keywords stored in the drug link database and a plurality of decomposition word databases in which a plurality of decomposition words are stored without duplication, and the processing apparatus includes a plurality of processing devices. It is provided with a search means for performing a process of searching for a unique name including a name keyword stored in the decomposition word database from a group of names including the original name of the above, for each of a plurality of name keywords stored in the decomposition word database. It is characterized in that the determination process by the determination means is performed for each of the unique names searched by the search means.

Further, the drug name identification system according to the present invention includes a drug component link database in which a common name and an ingredient name word indicating a component of the drug related to the common name are stored in association with each other for a plurality of drugs, and the drug component. In a drug name identification system including a processing device for identifying a candidate for a common name for a drug's unique name based on a link database, the processing device uses the drug component link database for a unique name including an ingredient name. It is characterized by comprising a specific means for performing a process of specifying a common name associated with a component name word as a candidate for a common name for the original name.

Furthermore, the drug name identification system according to the present invention includes a component name word database in which a plurality of component name words stored in the drug component link database are stored without duplication, and the processing apparatus includes a plurality of component name words. A search means for searching each of a plurality of component name words stored in the component name word database for a process of searching for a unique name including the component name word stored in the component name word database from a name group including the unique name. It is characterized in that each of the unique names searched by the search means is processed by the specific means.

The drug name identification system according to the present invention is provided with an identification information database in which a common name and identification information for identifying a drug having the common name are stored in association with each other for a plurality of drugs. , The identification information specifying means that performs the process of specifying the identification information associated with the common name of the candidate specified by the specific means based on the identification information database, the identification information specified by the identification information identification means, and the identification information thereof. It is characterized by comprising a means for generating a specific result in which candidates for a common name corresponding to the identification information are arranged with respect to the unique name.

In the method for specifying a drug name according to the present invention, for a plurality of drugs, a common name, a name keyword corresponding to the main name part of the common name, and a part obtained by removing the main name part from the common name are decomposed in semantic units. In the drug name identification method in which the processing device performs processing related to identification of a candidate for a common name for a unique name of a drug based on a drug name link database stored in association with a decomposition word, the processing device is a name keyword. For a unique name including, a determination step for determining whether or not the original name includes a decomposition word, a name keyword included in the original name, and a decomposition word found to be included by the determination step. It is characterized by executing a specific step of performing a process of specifying a common name associated with the drug name link database as a candidate for a common name with respect to the unique name.

Further, in the method for specifying a drug name according to the present invention, the processing apparatus is found to include a name keyword included in the original name and a decomposition word found in the determination step with respect to a common name related to the candidate specified in the specific step. However, the degree specifying step for specifying the degree of association in the drug name link database, the degree specified in the degree specifying step, and the identification of the candidates specified in the specific step are arranged with respect to the unique name. It is characterized by executing a step of performing a process of generating a result.

Further, in the method for specifying a drug name according to the present invention, the processing apparatus performs processing based on a decomposition word database in which a plurality of name keywords and a plurality of decomposition words stored in the drug link database are stored without duplication. The process of searching for a unique name including a name keyword stored in the decomposed word database from a name group including a plurality of unique names is performed by each of the plurality of name keywords stored in the decomposed word database. It is characterized in that the search step to be performed is executed, and the process related to the determination step is executed for each of the unique names searched in the search step.

Furthermore, the method for identifying a drug name according to the present invention is characterized in that the processing apparatus performs the processing related to the determination step using a plurality of decomposition words stored in the decomposition word database.

Then, the method for specifying a drug name according to the present invention processes a plurality of drugs based on a drug component link database that stores a common name and a component name word indicating a component of the drug according to the common name in association with each other. In the drug name identification method in which the device performs processing related to identification of a candidate for a common name with respect to the unique name of the drug, the processing device corresponds to the component name word in the drug component link database for the unique name including the component name word. It is characterized by executing a specific step of performing a process of specifying the assigned common name as a candidate for the common name for the original name.

Further, in the method for specifying a drug name according to the present invention, the processing apparatus excludes the component name word included in the unique name and the component name word included in the unique name for the common name related to the candidate specified in the specific step. The degree-specific step for specifying the degree to which the decomposition word indicating the information indicating the information obtained by decomposing the name part in the meaning unit is included, the degree specified in the degree-specific step, and the candidate specified in the specific step are unique. It is characterized by executing a step of performing a process of generating a specific result arranged for a name.

Further, in the method for specifying a drug name according to the present invention, the processing apparatus performs processing based on a component name word database in which a plurality of component name words stored in the drug component link database are stored without duplication. The process of searching for a unique name including a component name word stored in the component name word database from a name group including a plurality of unique names is performed for a plurality of component name words stored in the component name word database. It is characterized in that the search step performed in each is executed, and the specific step is executed for each of the unique names searched in the search step.

Furthermore, the method for identifying a drug name according to the present invention is based on an identification information database in which the processing apparatus stores, for a plurality of drugs, a common name and identification information for identifying the drug with the common name in association with each other. In the identification information identification step and the identification information identification step, the processing is performed to specify the identification information associated with the common name related to the candidate specified in the specific step based on the identification information database. It is characterized in that a step of performing a process of generating a specific result in which the specified identification information and candidates for a common name corresponding to the identification information are arranged with respect to the unique name is executed.

The processing apparatus according to the present invention is characterized in that the processing according to the above-mentioned method for specifying a drug name is executed in a processing device that performs a process for specifying a candidate for a common name for a unique name of a drug.
Further, the computer program according to the present invention is a computer program for causing a computer to perform a process for specifying a candidate for a common name for a unique name of a drug, wherein the computer performs the process related to the above-mentioned method for specifying a drug name. It is characterized in that it is executed as a processing device.

In the present invention, when the unique name of a drug by a medical institution contains a name keyword indicating the main name part of the common name of the drug, the unique name means other than the main name part included in the common name of the drug. It is determined whether or not the decomposition word decomposed in units is included, and the common name of the drug associated with the above-mentioned name keyword and the decomposition word found to be included by the above judgment is obtained from the drug name link database. Since it is specified as a candidate, it becomes possible to narrow down the common name for the original name which is composed of the distinctive part of the common name and the additional characters indicating the form of the drug and the like.

That is, the main name part in the common name corresponds to the above-mentioned name keyword as a characteristic name part for identifying the drug, and the additional characters etc. indicating the form of the drug correspond to the above-mentioned decomposition word. Name keywords and decomposition words can be used as clues to find a common name (generally used general name) for a unique name. Then, a drug name link database in which these name keywords and decomposition words are associated with the common names of each drug is prepared, and the association (link) of this drug name link database is associated with the name keywords and the name keywords included in the original name. Since the common name of the drug can be specified by tracing from the decomposition word, the common name specified in this way may correspond to the common name according to the unique name from the formation of the above-mentioned unique name. Therefore, if the specified common name is specified as a candidate for the common name for the unique name, the work of determining the correct common name by narrowing down the common name corresponding to the unique name from these candidates. You can improve the efficiency of.

In the present invention, a unique name given to a drug by a medical institution is referred to as a unique name, and a drug name other than this unique name is referred to as a universal name. Such a common name is a commonly used name and corresponds to a target stored in an existing database. Specific examples include a notification name, a brand name (product name), a receipt computer processing system drug name, and the like. There are drug names listed in the NHI price standard.

In the present invention, the degree to which the name keyword and the decomposition word included in the original name are associated with the common name related to the specified candidate in the drug name link database is specified, and the specified degree and the candidate are referred to as the original name. Since the specific result is generated, the specified degree can be referred to as an index showing how much the specified common name candidate is correct for the original name, and the credibility of the candidate can be estimated from the degree. become able to.

That is, since the original name is customarily composed by combining the name keyword and the decomposition word in the common name, the candidate with a high degree of inclusion of the name keyword and the decomposition word included in the original name is the candidate. There is a high possibility that the correct common name will be used for the original name. Therefore, in the present invention, the user can refer to the frequency by generating a result of arranging the specific candidate and the frequency of the common name related to the candidate including the name keyword or the decomposition word for the original name. Will be able to determine the possibility that the candidate is the correct universal name. As the degree, the ratio (%) of the number of name keywords or decomposed words associated with the drug name link database to the total number of words constituting the common name can be used, or simply associated with the drug name link database. It is conceivable to use the number of named keywords or decomposed words given (the same applies hereinafter).

In the present invention, the processing apparatus first searches for a unique name including a name keyword from a group of names including a plurality of unique names, and whether or not a decomposition word is included in the unique name hit by the search. Since the judgment process is performed, even when processing big data or files containing multiple unique names together with miscellaneous information, the unique name including the name keyword is extracted and the judgment process related to the decomposition word is performed. By narrowing down the target, the judgment process related to the decomposition word can be efficiently advanced for a plurality of unique names.

Further, in the present invention, a plurality of decomposed words stored in the decomposed word database without duplication are used to determine whether or not the decomposed word is included in the unique name. It is possible to sequentially use a plurality of stored decomposition words for the judgment processing as they are, and it is possible to avoid the situation where the judgment processing by the same decomposition word is performed multiple times and to improve the efficiency of the processing. It is suitable for performing judgment processing on a large number of unique names.

In the present invention, when the unique name of the drug by the medical institution includes the component name word corresponding to the component of the drug, the common name associated with the component name word is the unique name from the drug component link database. Since it is specified as a candidate for a common name for the drug, even when a unique name using the name of a component constituting a drug is targeted for processing, the common name for the unique name can be narrowed down as a candidate. That is, as described above, the original name may be composed of a combination of an ingredient name representing an ingredient of a drug and an additional character or the like indicating the form of the drug. Therefore, if processing is performed using a drug component link database in which a common name and a component name word indicating a drug component related to the common name are associated with each other, a candidate for the common name can be specified.

In the present invention, with respect to the common name pertaining to the specified candidate, the degree to which the component name word included in the original name and the decomposition word constituting the original name are included is specified, and the specified degree and the candidate are defined. Since a specific result arranged for the unique name is generated, the degree can be referred to as an index showing how much the specified common name candidate is correct for the unique name, and the credibility of the candidate can be checked. You will be able to guess from. That is, since the original name may be composed of a combination of the component name word and the decomposition word, a candidate having a high degree of inclusion of the component name word and the decomposition word constituting the original name is the correct common name for the original name. Is more likely. Therefore, in the present invention, by generating a result of arranging the frequency including the decomposition word together with the specified candidate for the original name, the user can refer to the frequency and see if the candidate is the correct common name. Will be able to judge.

In the present invention, the processing apparatus searches for a unique name including a component name word from a group of names including a plurality of unique names, and identifies candidates for the unique name hit by the search. When targeting big data or files that include multiple unique names together with various information, the unique name including the component name word is searched, so the processing target for candidate identification is narrowed down and the processing for specifying candidates is efficient. To be advanced. In particular, when processing big data or files that include multiple unique names along with miscellaneous information, multiple component name words are stored without duplication when searching for unique names from the processing targets. Since the component name word database is used, it is possible to sequentially use a plurality of component name words in the search process as they are, and it is possible to avoid performing the process of searching with the same component name word multiple times, so that an efficient search process can be performed. Can contribute to the progress.

In the present invention, the processing apparatus specifies the identification information associated with the common name related to the specified candidate from the identification information link database, and the specified identification information and the candidate for the common name are referred to the original name. Since the specific results are arranged side by side, the user can confirm not only the candidate of the common name corresponding to the original name but also the identification information of the candidate, and the convenience of the user can be enhanced. In addition, as the identification information link database, one common name corresponds to a plurality of different types of identification information (for example, HOT code, drug price standard listed drug code, YJ code, code for receipt computer processing system, etc.). It is also possible to use the attached one, and in such a case, the processing apparatus will generate a specific result in which a plurality of types of identification information are arranged in one candidate.

In the present invention, to a drug name link database associated with a common name, a name keyword corresponding to the main name part of the common name, and a decomposition word obtained by decomposing the part excluding the main name part from the common name in semantic units. Since the candidate for the common name for the unique name including the name keyword is specified by accessing, the correct common name for the unique name can be efficiently searched.

In the present invention, for the common name related to the specified candidate, a result indicating the degree to which the name keyword and the decomposition word are included is generated. Therefore, when determining which of the candidates is the correct common name, The degree can be used as a judgment index, and especially when a plurality of candidates are identified, the correct common name can be selected by referring to the degree.

In the present invention, a unique name including a name keyword is searched from a group of names including a plurality of unique names, and the unique name hit by the search is subjected to a determination process of whether or not a decomposition word is included. Even when processing big data or files that include multiple unique names along with miscellaneous information, the unique names including the name keywords can be extracted and the target of the judgment processing related to the decomposition word can be narrowed down. Unique names that do not include the above can be excluded from the judgment process, and the process of identifying candidates for common names can be performed efficiently.
Further, in the present invention, since a plurality of decomposed words stored in the decomposition word database without duplication are sequentially used for the determination processing, it is possible to prevent the determination processing by the same decomposition word from occurring and to perform the determination processing for a large number of unique names. Can be done smoothly.

In the present invention, the processing apparatus identifies a candidate for a common name corresponding to a unique name including the component name word based on a drug component link database in which a common name and a component name word indicating a component of a drug related to the common name are associated with each other. Therefore, it is possible to efficiently search for the correct common name corresponding to the unique name composed including the component name.
Further, in the present invention, since a result indicating the degree to which the component name word and the decomposition word constituting the original name are included in the common name related to the specified candidate is generated, the degree is correct from the candidates. It can be used as an index for determining which common name is, and especially when a plurality of candidates are identified, it is possible to easily select the correct common name by referring to the degree.

Further, in the present invention, when a big data or a file containing a plurality of unique names is to be processed together with miscellaneous information, even when a unique name including a component name word is to be processed, first, the big data or Since the original name including the component name word can be extracted from the file etc. by searching and the target for specifying the candidate can be narrowed down, the original name not including the component name word is excluded from the candidate specific processing target and the candidate for the common name. It is possible to improve the efficiency of the process of specifying.

Further, in the present invention, since the identification information link database in which the common name and the identification information are stored in association with each other is accessed and the result including the identification information of the common name related to the specified candidate is generated, the user can refer to the original name. In addition to the candidates, the identification information can be confirmed, and the convenience of the user can be improved.

It is the schematic which shows the overall structure including the drug name specifying system which concerns on 1st Embodiment of this invention. It is a chart which shows an example of the partial contents of big data. It is a block diagram which shows the main internal structure of a server device. It is a figure which shows an example of the partial contents of a link database. It is a figure which shows an example of the partial contents of a word database. It is a figure which shows an example of the partial contents of a code database. It is a figure which shows an example of the partial contents of a component database. It is a chart which shows an overall outline example of a specific result table. It is a figure which shows an example of the part corresponding to the matching table in a specific result table. It is a chart which shows an example of the part mainly corresponding to the notification name column in a specific result table. It is a chart which shows an example of the part mainly corresponding to the sales name column in a specific result table. It is a chart which shows an example of the part mainly corresponding to the receipt computer processing system drug name column in a specific result table. It is a figure which shows an example of the part mainly corresponding to the component name column in a specific result table. It is a figure which shows an example of the part mainly corresponding to a code column in a specific result table. It is a block diagram which shows the main internal structure of a terminal device. (A) is a schematic diagram showing a login screen, and (b) is a schematic diagram showing a search target setting screen. (A) is a schematic view showing a confirmation screen, and (b) is a schematic view showing a result screen. It is a 1st flowchart which shows the processing procedure of the pharmaceutical name specification method which concerns on this invention. It is a 2nd flowchart which shows the processing procedure of the pharmaceutical name specification method which concerns on this invention. It is a chart which shows a part of the specific result table which concerns on a modification. It is a figure which shows a part of the link database which concerns on a modification. It is the schematic which shows the overall structure including the drug name specifying system which concerns on 2nd Embodiment of this invention. It is the schematic which shows the overall structure including the drug name specifying system which concerns on 3rd Embodiment of this invention.

FIG. 1 is a schematic view showing an overall system configuration including an example of the drug name specifying system 1 according to the first embodiment (Example 1) of the present invention. The drug name identification system 1 is composed of a server device 10 on the system side and a terminal device 30 on the user side. By performing various processes in cooperation with the server device 10 and the terminal device 30, in the present embodiment, the big data 5 stored in the cloud (cloud device 4) is targeted for processing and stored in the big data 5. We provide a service that identifies candidates for common names for each of the many unique names that are used, and presents the results including the specified candidates to the user.

The server device 10 and the terminal device 30 can communicate with each other by the network NW, and the server device 10 can access the big data 5 stored in the cloud through the communication network. In FIG. 1, only one terminal device 30 on the user side is shown in order to outline the Japanese Accepted Name system 1, but in reality, a large number of terminal devices 30 are connected to the network NW by a large number of users. It is assumed that they are connected so that they can access the server device 10. As a result, a large number of users can receive the service according to the present invention.

Further, the cloud that stores the big data 5 is constructed by a system corresponding to the cloud device 4 existing on the network, and since such a cloud system is well known, the explanation about the cloud (cloud device 4) is omitted. To do. The big data 5 and the cloud device 4 are not included in the configuration of the drug name identification system 1, but are simply search targets (process targets) of the drug name identification system 1.

Big data 5 stores a large number of unique names (unique names) given to various medicines by medical institutions (hospitals, clinics, pharmacies, etc.). In the present embodiment, a plurality of unique names are extracted from the big data 5 by a search process in response to an operation instruction of the user of the terminal device 30, and candidates for common names corresponding to the extracted unique names are specified. Therefore, the user can efficiently select the correct common name for the original name. As a result, it can contribute to facilitating the investigation of medicines actually used in medical institutions.

In the present embodiment, the processing target is basically set to big data 5, but the processing target of the drug name identification system 1 is any one that can be accessed by the server device 10 in addition to the cloud big data 5. , It is possible to make it a processing target, and what can be a processing target can be selected by the user (files stored in a storage device connected to the network can also be selected as a processing target). It is assumed that the big data, files, etc. to be processed include a plurality of unique names uniquely given to the drug by the medical institution. Therefore, such big data, files, etc. to be processed are included. Corresponds to a name group that includes multiple unique names.

In addition, the universal name in the present invention means a name (general name) widely and generally used for pharmaceutical products, and specifically, a notification name and a marketing name (expressed as a product name) of a pharmaceutical product. (In some cases), the name of the drug in the receipt computer processing system, the name of the drug listed in the NHI price standard, etc. are applicable. In the present embodiment, the notification name, the brand name, and the name of the drug for the receipt computer processing system are specified as candidates for the common name for the original name, but depending on the specifications and the like, the drug listed on the NHI price standard is specified. Of course, it is possible to include the name. The notification name, brand name, and receipt computer processing system drug name are basically different notations for the same drug, but as mentioned above, some two or all of them have the same notation. As an example of the same two names, the brand name Amlogipin OD Tablets 2.5 mg "Towa" has the same name notation for the receipt computer processing system drug name.

In this embodiment, user registration is required to receive the service provided by the Japanese Accepted Name System 1, and the user can use user information such as name, telephone number, email address, and date of birth in the Japanese Accepted Name System. By sending to the server device 10 of No. 1, user registration is performed and a user ID that identifies the user is issued.

FIG. 2 shows a partial list of examples of various unique names stored in big data 5. As shown in FIG. 2, a plurality of unique names are stored in the big data 5, and as shown in FIG. 2, these unique names are uniquely given according to the usability of the medical institution. .. For example, there are names such as "Ubretide tablet 5 mg (difficult to urinate)" and "Cetrotide injection 0.25 mg at own expense".

All parts of such unique names are not unique notations, but are based on the main name part of the common name (called the name keyword) and the name indicating the ingredient of the drug (called the ingredient name word). In these base words (name keywords or ingredient name words), there is an abbreviated alphabetical notation according to the characteristics of the drug (for example, OD which means "Orally Disintegration"). , E meaning vitamin E, HD meaning "High Dose", etc.), notation indicating the dosage form of the drug (for example, tablets, liquids, fine granules, tapes, etc.), content or amount of the drug Numerical notation (for example, 5, 60, 1, 0.25, etc.), unit notation such as content or amount of drug (for example, mg,%, mL, etc.), caution or reference regarding drug (for example) For example, a unique name is created by a medical institution by appropriately combining additional information such as prohibited driving, difficulty in urination, own expense, etc.

Therefore, the name keyword in the present invention is specifically the main name portion (ingredient name, product name, general) excluding additional information such as dosage form, standard, unit, shop name, and symbol from the common name of the drug. The characteristic name part that identifies a drug such as a target name) corresponds to, and the component name word in the present invention corresponds to the part representing the component name in the common name of the drug, and further, the decomposition word is The notation part that individually represents the dosage form, standard, unit, shop name, symbol, etc., excluding the main name part such as ingredient name, product name, general name, etc. from the common name of the drug corresponds.

Note that FIG. 2 shows only a part of the information stored in the big data 5, and the big data 5 stores various other miscellaneous information and data in addition to the original name. Is common. Therefore, in order to specify a candidate for a common name corresponding to each unique name stored in the big data 5, it is first necessary to extract the unique name from the big data 5.

FIG. 3 is a block diagram showing a main configuration of the server device 10 in the drug name identification system 1. The server device 3 of the present embodiment is to which a general server computer is applied, and corresponds to a processing device that performs the main processing of the present invention. It is also possible to construct a processing device according to the present embodiment by combining a plurality of server devices, a database device, and the like by performing distributed processing and the like for the processing according to the present invention (as described above, a plurality of devices). Even when the above are combined, the entire configuration of the combined apparatus corresponds to the processing apparatus according to the present invention).

The server device 10 is formed by connecting various devices and the like to the MPU 10a that performs overall control and various processes by an internal connection line 10h, and the various devices and the like have a communication module 10b, a RAM 10c, a ROM 10d, and an input interface. There are 10e, an output interface 10f, a storage unit 10g, and the like.

The communication module 10b is a communication device corresponding to a connection module with a network NW, and conforms to a required communication standard (for example, a LAN module). The communication module 10b is connected to the network NW via a required communication device (not shown, for example, a router or the like), and enables communication with the cloud device 4 and the terminal device 30 or the like. The RAM 10c temporarily stores the contents, files, and the like associated with the processing of the MPU 10a, and the ROM 10d stores the programs and the like that define the basic processing contents of the MPU 10a.

The input interface 10e is connected to a keyboard, mouse, or the like that receives operation instructions or the like from the system administrator or the like of the server device 10, and performs a process of receiving the operation instructions or the like by the system administrator or the like and transmitting the operation instructions to the MPU 10a. A display (display output device) is connected to the output interface 10f, and the contents associated with the processing of the MPU 10a are output to the display so that the system administrator or the like can check the current processing contents or the like.

The storage unit 10g stores a program, a database, and the like. In the present embodiment, the server OS program 11 and the name identification program 12 are stored as programs, and the link database 13, word database 14, and code database are stored as databases. 15, component database 16, user database 17, screen database 18, etc. are stored. The server device 10 (MPU10a) accesses each of the databases 13 to 18 stored in the storage unit 10g according to the processing status, and performs various processes based on the information stored in each database. For example, the MPU 10a accesses the link database 13 in the process of identifying a candidate for a common name, and the MPU 10a accesses the word database 14 in the process of searching for a unique name from the big data 5.

The server OS program 11 is a program corresponding to the operating system of the server device 10, and defines various processes to be performed as a server computer. The name specifying program 12 is a computer program that defines various processes according to the present invention, and the MPU 10a performs the processes specified by the name specifying program 12 by various means (determination means, specifying means, search means, candidate specifying means, name search). Means, identification information identification means, etc.) will be executed. The details of the name specifying program 12 will be described later, and each database 13 to 18 will be described first.

FIG. 4 shows an example of a part of the contents of the link database 13 stored in the storage unit 10g. The link database 13 contains, for a plurality of drugs, a common name arranged in the common name column 13a, a name keyword of the common name (information arranged in the name keyword column 13b), and a main name portion (name) from the common name. Decomposition words (information placed in the word column 13c) obtained by decomposing the part excluding the keyword) into semantic units, and ingredient name words (information placed in the ingredient name word column 13d) indicating the components of the drug having the common name. The content indicates a collection of records stored in association with each common name. Such a link database 13 has been created in advance by a manufacturer or the like of the database 13, and the contents of the link database 13 are appropriately updated as new drugs are approved and sold. To.

In the case of the present embodiment, the common names stored in the link database 13 include the above-mentioned notification name, sales name, and receipt computer processing system drug name. Since these notification names, brand names, and receipt computer processing system drug names are assigned to the same drug, the notification name, brand name, and receipt computer can be used as common names for the same drug in the link database. Processing system Three types of drug names are stored, and these three types of names have a database structure in which name keywords, multiple decomposition words, and component name words are stored in association with each same drug. There is.

The name keyword stored in the name keyword column 13b of the link database 13 is identified from the type of other drug in the notation structure constituting the above-mentioned common name (notification name, brand name, receipt computer processing system drug name). Corresponds to the main name part to do. For example, in the case of the common name (notification name) of amlodipine besilate 2.5 mg tablet, the part called amlodipine besil corresponds to the name keyword as the main name part.

The decomposed word stored in the word column 13c of the link database 13 corresponds to information in which a part other than the name keyword in the common name is divided into a plurality of parts in the smallest unit constituting the meaning. For example, in the case of the above-mentioned common name (notification name) of amlodipine besilate 2.5 mg tablet, since amlodipine corresponds to the name keyword, a portion of besilate 2.5 mg tablet remains in addition to the amlodipine. Regarding the portion of this 2.5 mg tablet of besilate, as the minimum unit (minimum unit whose meaning can be grasped) that constitutes the meaning, as the besilate indicating the properties related to the drug, as the numerical value indicating the content or amount of the drug, etc. 2. 5. It is decomposed into each word of mg as a unit of the content or amount of the drug and a tablet indicating the form of the drug, and these besilates, 2.5, mg and the tablet correspond to the decomposition word respectively. As the minimum unit constituting the meaning, there are various patterns depending on the way of thinking of the meaning. Therefore, the minimum unit may change depending on the specifications, etc. For example, the above-mentioned decomposition word besilate is used. It is also possible to divide into two decomposition words such as besilic acid and salt.

In addition, if (station) amlodipine tablet 2.5 mg "Taiyo" is a common name (notification name), amlodipine corresponds to the name keyword, and the part other than amlodipine (station) and tablet 2.5 mg "taiyo" Each of (, station,), tablet, 2.5, mg, and ", taiyo," decomposed in the meaning unit (minimum unit indicating meaning) corresponds to the decomposition word. In this embodiment, the parenthesized () is decomposed into the first (and ending) two, and similarly, the bracketed "" is also decomposed into the first "and the end".

The ingredient name word stored in the link database 13 is information indicating the names of the main ingredients constituting the drug. For example, the above-mentioned drug with the common name (notification name) of amlodipine besilate 2.5 mg tablet contains amlodipine as an ingredient, and therefore amlodipine corresponds to the ingredient name word. In addition, since (bureau) amlodipine tablets 2.5 mg "Taiyo", a drug with the common name (notification name), also contains amlodipine as an ingredient, the ingredient name word is amlodipine in this case as well, but the word amlodipine is mentioned above. As mentioned above, it is included in the common name and becomes the main name part, so it also corresponds to the name keyword. Therefore, there are some names in which the ingredient name word and the name keyword are common, such as the example of (bureau) amlodipine tablet 2.5 mg "Taiyo".

In the link database 13, the portion in which the common name, the name keyword of the common name, and a plurality of decomposition words of the common name are stored in association with each other corresponds to the drug name link database, and the common name and the common name are The part stored in association with the ingredient name word of the common name corresponds to the pharmaceutical ingredient link database. Therefore, the link database 13 of the present embodiment includes the drug name link database and the drug component link database.

FIG. 5 shows an example of a part of the contents of the word database 14 stored in the storage unit 10g. The word database 14 stores each of the plurality of name keywords, the plurality of decomposition words, and the plurality of component name words stored in the above-mentioned link database 13 by name identification without duplication. .. The reason why each keyword and each word are stored without duplication in this way is to improve the efficiency of the process (described later) defined by the name specifying program 12. The word database 14 corresponds to the decomposition word database because it stores the decomposition words as described above, and also corresponds to the component name word database because it stores the component name words. Therefore, the word database 14 corresponds to the decomposition words. It includes a database and a component name word database.

Since these name keywords, decomposition words, and component name words are stored separately for each word type in the word database 14, only the name keywords are read out and used for processing, and only the decomposition words are read out. It is possible to use it for processing or to read only the component name word and use it for processing. It should be noted that such a word database 14 is also created in advance by the production company of the database 13 described above, and cooperates with the link database 13 in response to the approval and sale of a new drug. The contents of the word database 14 are also updated as appropriate.

FIG. 6 shows an example of a part of the contents of the code database 15 stored in the storage unit 10g. The code database 15 corresponds to an identification information database in which a common name and a code (identification information, identification code) for identifying the common name are stored in association with each other for a plurality of pharmaceutical products. The code database 15 of the present embodiment provides information on a total of four types of codes according to the HOT code (reference number), drug price standard listed drug code, YJ code (individual drug code), and code for the receipt computer processing system. As a common name, the notification name, the brand name (product name), and the name corresponding to the receipt computer processing system drug name are stored in association with each of the above-mentioned codes. There is. Note that FIG. 6 is an example using a 13-digit HOT code (HOT-13), and in order to briefly show the contents of the database, the last 4 digits are mainly 0101 (13-digit HOT code). Indicates the "dispensing number (number according to the packaging form)" and "distribution number (number according to the packaging unit)" in the last four digits, and even for the same drug, the packaging form or packaging unit is different. There are those having a plurality of patterns such as 0101, 0102, 0201, 0202).

FIG. 7 shows an example of a part of the contents of the component database 16 stored in the storage unit 10g. The component database 16 stores a code, a common name, and a component name (ingredient name word) in association with each of the plurality of drugs, and the data structure is the code database of FIG. 6 described above. It has a structure in which columns corresponding to component names are added to 15. In the example shown in FIG. 7, four types of codes are included as the HOT code (HOT-13), the drug price standard listed drug code, the YJ code (individual drug code), and the code for the receipt computer processing system. However, as for the HOT code, as in the case of FIG. 6 described above, mainly those with the last four digits of 0101 are listed. Further, in the example shown in FIG. 7, three types of common names are included: a notification name, a brand name, and a receipt computer processing system drug name.

By using the component database 16 as described above, it is possible to specify a code corresponding to a certain component name (component name word) or a common name, or to specify a certain code (for example, one of the above four types of codes). It is possible to specify the corresponding component name word, to specify the component name word corresponding to a certain common name (for example, one of the above three types of names), and the like. The code database 15 shown in FIG. 6 and the component database 16 shown in FIG. 7 also have the same contents as the link database 13 and the word database 14 in response to the approval and sale of new drugs. Will be updated as appropriate.

The user database 17 stored in the storage unit 10g stores user information (name, telephone number, email address, date of birth, password, etc.) related to the registered user for each user ID, and is used for user authentication or the like. The information stored in the user database 17 is confirmed. In the case of this embodiment, an e-mail address is used as the login ID for logging in to the drug name identification system 1.

Further, the screen database 18 stored in the storage unit 10g stores various screen data according to the screen contents (see FIGS. 16 and 17) displayed by the terminal device 30 that has accessed the server device 10. The server device 10 reads the screen data according to the processing process from the screen database 18, processes and generates the screen data to a predetermined content, and transmits the screen data to the terminal device 30.

Next, each process defined by the name specifying program 12 stored in the storage unit 10g will be described. The main processes to be executed by the MPU 10a defined by the name identification program 12 include a user authentication process, a common name candidate identification process based on the name keyword, and a common name candidate identification process based on the component name word.

First, as a user authentication process, when the server device 10 receives login information including a user ID and password from the access source terminal device 30, the name identification program 12 stores the received user ID and password in the user database 17. The MPU 10a determines whether or not.

If it is found that the sent user ID and password are not stored in the user database 17, login is disabled, and the MPU 10a sends a login failure notification to the access source terminal device 30. On the other hand, when the user ID and password are stored, the RAM 10c stores that the user of the accessed terminal device 30 is logged in, and the search target setting screen 41 shown in FIG. 16B shows the user ID and password. The MPU 10a performs a process of reading the corresponding screen data from the screen database 18 and transmitting the login completion notification to the access source terminal device 30. The screen data corresponding to the search target setting screen 41 to be transmitted includes big data, files, etc. that can be processed at that time in a selectable manner, and the processing target should be sent from the server device 10. Therefore, there is an advantage that candidates such as big data and files that can be processed can be managed on the server device 10 side and updated as appropriate.

Then, when the server device 10 receives the notification of the search instruction specifying the search processing target (processing target) from the access source terminal device 30 in response to the transmission of the login completion notification or the like, the server device 10 (MPU10a) receives the notification. According to the provisions of the name identification program 12, a candidate identification process for a common name based on the name keyword and the component name word is executed. In the following, the case where the big data 5 stored in the cloud (cloud device 4) is notified as the search setting target will be described.

First, as a common name candidate identification process based on the name keyword, the server device 10 accesses the big data 5 notified as the search setting target (process target), and each of the plurality of name keywords stored in the word database 14 is accessed. The MPU 10a performs a process of searching the big data 5 using the above, and a process of searching (extracting) a unique name including a name keyword from the big data 5. At this time, since there is no duplication in each name keyword stored in the word database 14, the search process is performed by sequentially using a plurality of name keywords having different contents. Further, since the MPU10a uses the name keyword used when hit in the search for the unique name in the subsequent processing (processing for generating the matching table), the RAM 10c is temporarily associated with the searched (extracted) unique name. Remember it.

Then, the MPU 10a performs a process of determining whether any of the plurality of decomposed words stored in the word database 14 is included for each of the extracted unique names (a plurality of decomposed words stored in the word database 14). Judgment based on words). For example, if the unique name of amlodipine tablet 2.5 mg was extracted from big data 5 by the name keyword amlodipine, in this judgment process, this unique name includes a total of three decompositions of tablet, 2.5, and mg. It will be determined that the word is included. Since there is no duplicate of the decomposed words stored in the word database 14 used in this determination process, a situation may occur in which the number of decomposed words included in the unique symmetrical names is erroneously counted multiple times. The judgment process can proceed efficiently without doing so.

Further, since the MPU10a also uses the decomposed word determined to be included in the original name by this judgment in the subsequent processing, the original name temporarily stored in the RAM 10c in the above search (extraction) processing is used. , The name keyword used for the search, and a matching table in which a plurality of decomposed words determined to be included in the original name by this determination process are associated with each other are generated.

FIG. 9 shows an example of the generated matching table, and as will be described later, the matching table is finally included in the specific result table 20, and in the specific result table 20, the unique name column 20a And each column of the matching column 20b corresponds to the matching table. In the example shown in FIG. 9, the unique name of amlodipine tablet 2.5 mg extracted from big data 5 is associated with a score of 4 in the matching column 20b, amlodipine as the name keyword, and a tablet, 2.5, mg as the decomposition word. The part where the unique name of amlodipine tablet 5 mg extracted from big data 5 is associated with 4 as a score in the matching column 20b, amlodipine as a name keyword, and a tablet 5, mg as a decomposition word is shown. Shown.

The numerical value of 4 in the score is a unique name (for example, amlodipine tablet 2.) in which various words (name keywords, decomposed words) stored in the word database 14 are processed in the above-mentioned search (extraction) processing and judgment processing. It means the total number of words matched (hits) with respect to 5 mg). Specifically, in the case of the unique name of amlodipine tablet 2.5 mg, in the search (extraction) process, the keyword named amlodipine used in that process is hit, and in the judgment process, the total of tablets, 2.5, mg. Since the three decomposed words were hit as being included in the unique name, the total number of hits of 4 is stored as the score.

The amlodipine hit in the search (extraction) process is stored as the name keyword in the matching column 20b, and the hit lock, 2.5, mg as the decomposition word included in the determination process are the decomposition words in the matching column 20b, respectively. It is stored as. The MPU10a has the above-mentioned score, name keyword, and decomposition word of the matching column 20b for all the unique names extracted from the big data 5 in the search (extraction) process through the above-mentioned search (extraction) process and determination process. A process of filling in each column is performed to generate a matching table (Fig. 9 shows a part corresponding to two examples of unique names extracted from big data 5 (Amlogipin Tablets 2.5 mg and Amlogipin Tablets 5 mg). Only shows the matching table of).

Next, the MPU 10a specifies a candidate for a common name for the unique name by applying the name keyword and the decomposed word associated with each unique name stored in the matching table described above to the link database 13 shown in FIG. Execute the process. Specifically, in the case of the unique name of amlodipine tablet 2.5 mg, since the name keyword of amlodipine and the decomposition word of tablet 2.5 and mg are stored in the matching table as described above, these name keywords and The MPU 10a performs a process of specifying a common name associated with a decomposition word as a candidate for a common name for the unique name from the link database 13.

For example, as a common name stored in the link database 13 shown in FIG. 4, the notification name amlodipine besilate 2.5 mg tablet is associated with the name keyword amlodipine, 2.5, mg, and the decomposition word of the tablet. Therefore, it is specified by MPU10a as a candidate for a common name. In addition, the notification name (bureau) amlodipine tablet 2.5 mg "Taiyo" is also identified by MPU10a as a candidate for a common name because the name keyword amlodipine, the tablet, and the decomposition word 2.5, mg are associated with it. Furthermore, although not shown in FIG. 4, the notification name (bureau) amlodipine tablet 2.5 mg "Nichi-Iko" is also associated with the name keyword amlodipine, the tablet, and the decomposition word 2.5, mg, so it is a common name. Is specified by MPU10a as a candidate for.

Furthermore, in the link database 13, although not shown in FIG. 4, (bureau) amlodipine tablets 2.5 mg "Tanabe", (bureau) amlodipine OD tablets 2.5 mg "Towa", (bureau) amlodipine OD tablets 2.5 mg " Meiji ”and (bureau) Amlodipine OD Tablets 2.5 mg“ Taiyo ”are also associated with the name keyword Amlodipine, tablets, and decomposition words 2.5 and mg, so MPU10a can be used as a candidate for a common name. Be identified.

Further, as the brand name stored in the link database 13, amlodipine tablet 2.5 mg "ZJ" is associated with the name keyword amlodipine, the tablet, and the decomposition word 2.5, mg. Therefore, MPU10a is a candidate for a common name. Specified by. Similarly, in the link database 13, the trade name amlodipine tablet 2.5 mg "Taiyo" shown in FIG. 4, amlodipine tablet 2.5 mg "Nichiiko", and amlodipine tablet 2.5 mg "Tanabe" not shown in FIG. 4 , Amlodipine OD Tablets 2.5 mg "Towa", Amlodipine OD Tablets 2.5 mg "Meiji", and Amlodipine OD Tablets 2.5 mg "Taiyo" are also supported by the amlodipine name keyword, tablets, 2.5, mg decomposition words. Since it is attached, it is specified by MPU10a as a candidate for a common name.

As the name of the receipt computerized processing system drug stored in the link database 13, amlodipine tablet 2.5 mg "ZJ" is associated with the name keyword amlodipine, the tablet, and the decomposition word 2.5, mg, so it is a candidate for a common name. Is specified by MPU10a. Similarly, in the link database 13, amlodipine tablets 2.5 mg “Taiyo”, which is the name of the receipt computer processing system drug shown in FIG. 4, and amlodipine tablets 2.5 mg “Nichiiko” and amlodipine tablets not shown in FIG. 4 2. 5 mg "Tanabe", amlodipine OD tablet 2.5 mg "Towa", amlodipine OD tablet 2.5 mg "Meiji", and amlodipine OD tablet 2.5 mg "Taiyo" are also called amlodipine name keywords, tablets 2.5, mg. Since the decomposition words are associated with each other, they are specified by MPU10a as candidates for common names.

In the above example, a drug named amlodipine besilate 2.5 mg tablet, a drug named amlodipine tablet 2.5 mg "ZJ", and a drug with a receipt computer processing system named amlodipine tablet 2.5 mg "ZJ". The name is a name (common name) indicating the same drug, and it is assumed that these same drugs are linked (stringed) in the link database 13 (hereinafter, the same applies to the same drug). .. In addition, (bureau) Amlogipin Tablets 2.5 mg "Taiyo" is the drug name, Amlogipin Tablets 2.5 mg "Taiyo" is the brand name, and Amlogipin Tablets 2.5 mg "Taiyo" is the name of the receipt computer processing system drug. , The names of the same drugs, and similarly, each name (notification name, brand name, receipt computer processing system drug name) in the order of the above-mentioned examples is also the same drug name.

Further, the MPU 10a performs a process of specifying the degree to which the above-mentioned name keyword and (and / or) decomposition word are associated with each of the above-mentioned candidates for the common name in the link database 13. In the present embodiment, the degree of association is set to the total number of name keywords and decomposed words constituting the common name related to the specified candidate (the number of name keywords and decomposed words stored in the word database 14). On the other hand, the ratio of the number of name keywords or decomposed words associated with the link database 13 is calculated as a numerical value (score) of percentage. For such a score (the degree of the words associated with the link database 13 in all words), the user determines which of the plurality of candidates identified as described above is the correct common name for the original name. It becomes an index when doing.

Specifically, the amlodipine besilate 2.5 mg tablet identified as a candidate for a common name (notification name) in the above example is composed of a total of five words: amlodipine, besilate, 2.5, mg, and tablet. Of all these five words, the words associated with the link database 13 are the name keyword amlodipine and the decomposed words 2.5, mg, and tablets, as explained in the above candidate identification process. Since there were a total of 4 words, 4 (the number of words associated with the link database 13) / 5 (the total number of words composed) = 0.8 = 80% score (degree) was calculated by MPU10a. To.

In addition, the notification name (bureau) amlodipine tablet 2.5 mg "taiyo" for the candidate identified in the above example is (, bureau,) amlodipine, tablet, 2.5, mg, ", taiyo," in total. It is composed of 10 words, and among all 10 words, the words associated with the link database 13 are the name keyword amlodipine and the decomposed word as explained in the above candidate identification process. Since there were a total of 4 words of 2.5, mg, and tablets, the score (degree) of 4 (number of associated words) / 10 (total number of words composed) = 0.4 = 40% is MPU10a. Is calculated by.

Furthermore, the (bureau) amlogipin OD tablet 2.5 mg "Towa" of the notification name pertaining to the candidate identified in the above example is (, bureau,) amlogipin, OD, tablet, 2.5, mg, ", towa, Of all 11 words, the words associated with the link database 13 are the name keyword amlogipin and, as explained in the above candidate identification process. Since there were a total of 4 words, 2.5, mg, and lock of the decomposition words, 4 (the number of associated words) / 11 (the total number of words composed) = 0.36 (rounded down to the third decimal place) , And so on) = 36% score (degree) is calculated by MPU10a.

Furthermore, the brand name amlodipine tablet 2.5 mg "ZJ" for the candidate identified in the above example is composed of a total of seven words, amlodipine, tablet, 2.5, mg, ", ZJ,". Of all these seven words, the words associated with the link database 13 are the name keyword amlodipine and the decomposed words 2.5, mg, and tablets, as explained in the above candidate identification process. Since there were a total of four words, a score (degree) of 4 (number of associated words) / 7 (total number of words composed) = 0.57 = 57% is calculated by MPU10a.

And, the brand name amlodipine OD tablet 2.5 mg "Towa" related to the candidate specified in the above example is a total of eight words of amlodipine, OD, tablet, 2.5, mg, ", Towa,". Of all eight words, the words associated with the link database 13 are the name keyword amlodipine and the decomposed words 2.5, mg, as described in the candidate identification process above. Since there were a total of four words, lock and lock, a score (degree) of 4 (number of associated words) / 8 (total number of words composed) = 0.5 = 50% is calculated by MPU10a. The scores of the common names (notification name, brand name, receipt computer processing system drug name) related to the specified other candidates are calculated in the same manner as above.

Further, the MPU 10a uses the code database 15 shown in FIG. 6 and uses a code (identification information) corresponding to a common name (notification name, sales name, receipt computer processing system drug name) related to the candidate identified by the candidate identification process described above. ) Is specified by the MPU 10a. The code database 15 includes a notification name, a brand name, a receipt computer processing system drug name for the same drug, a HOT code (reference number), a drug price standard listed drug code, a YJ code (individual drug code), and a receipt computer processing system. Since the code is associated with the code, in the present embodiment, each code associated with the notification name is specified by using the notification name from the candidates for the common name specified in the above process. Of course, the brand name or the name of the receipt computer processing system drug may be used to specify each code associated with those names, but the code specified is the same regardless of which common name is used. Become.

Then, the MPU 10a performs a process of generating a specific result indicating the result of the above-mentioned process. Specifically, the MPU 10a is a candidate for the notification name, which is a candidate for the specified common name, in cooperation with the matching table by the unique name column 20a (the column including the extracted unique name) and the matching column 20b shown in FIGS. , Brand name candidates, receipt computer processing system drug name candidates (including the score of each candidate), and specific results of arranging the codes related to the common names of each candidate (for unique names, common name candidates, scores , And the specific result in which the code and the like are arranged) are generated.

FIG. 10 shows a portion of the specific result table 20 generated by the MPU 10a according to the specific result related to the candidate of the specified notification name. The MPU 10a arranges the notification name column 21 related to the specific result of the notification name candidate on the right side of the matching column 20b in the specific result table 20 (see FIG. 8). The notification name column 21 is provided with a notification name score column 21a and a notification name list unit 21b. By the processing of the MPU 10a, the candidates of the notification name specified by the above-mentioned candidate identification processing are arranged in the notification name list unit 21b from top to bottom in descending order of the score calculated by the above processing, and are arranged in the notification name score column 21a. Is arranged side by side with the percentage value of the score calculated for each candidate's notification name.

FIG. 11 shows a portion of the specific result table 20 generated by the MPU 10a according to the specific result related to the specified candidate of the brand name. The MPU 10a arranges the sales name column 22 related to the specific result of the sales name candidate on the right side of the notification name column 21 in the specific result table 20 (see FIG. 8). Similar to the notification name column 21 described above, the sales name column 22 is provided with a sales name score column 22a and a sales name list unit 22b. By the processing of the MPU 10a, the candidates for the sales name specified in the above-mentioned candidate identification processing are arranged in the sales name list unit 22b from top to bottom in descending order of the score calculated in the above processing, and are arranged in the sales name score column 22a. Is arranged side by side with the percentage value of the score calculated for each candidate's sales name.

FIG. 12 shows a portion of the specific result table 20 generated by the MPU 10a according to the specific result related to the specified candidate of the receipt computer processing system drug name. The MPU 10a arranges the receipt computer processing system drug name column 23 related to the specific result of the candidate of the receipt computer processing system drug name on the right side of the brand name column 22 in the specific result table 20 (see FIG. 8). The receipt computer processing system drug name column 23 is provided with the receipt computer processing system drug score column 23a and the receipt computer processing system drug name list unit 23b, similarly to the notification name column 21 and the brand name column 22 described above. There is. By the processing of MPU10a, the candidates for the receipt computer processing system drug name specified in the above-mentioned candidate identification process are arranged in the receipt computer processing system drug name list unit 22b in descending order of the score calculated in the above process. Then, in the receipt computer processing system drug score column 23a, the percentage value of the score calculated for each candidate's receipt computer processing system drug name is arranged side by side.

FIG. 14 shows a portion of the specific result table 20 generated by the MPU 10a according to the specific result of the specified code. The MPU 10a arranges a code column 25 indicating a code corresponding to a common name of each specified candidate on the right side of the component name column 24 (the component name column 24 will be described later) in the specific result table 20. The code column 25 includes a HOT code list section 25a, a drug price standard listed drug code list section 25b, a YJ code list section 25c, and a receipt computer processing system code list section 25d, and each list section 25a to 25d is separated by a line corresponding to each common name arranged in the notification name column 21, the brand name column 22, and the receipt computer processing system drug name column 23, and in each column of the line corresponding to the delimiter. , Corresponding universal name codes (HOT code, drug price standard listed drug code, YJ code, and receipt computer processing system code) are arranged side by side. In addition, also in FIG. 14, in order to show the table contents concisely, the last 4 digits of the 13-digit HOT code (HOT-13) are limited to 0101 in the HOT code list part 25a, but the last 4 digits are only placed. However, if HOT codes such as 0102, 0201, and 0202 are hit, these HOT codes are also put on the HOT code list unit 25a.

As described above, the specific result table 20 has the notification name column 21, the brand name column 22, and the receipt computer processing system drug name column 23 arranged in the unique name column 20a, and thus arranged in each column 21 to 23. Each candidate of the common name (notification name, brand name, receipt computer processing system drug name) is arranged for the unique name that is the target of the specific processing of each candidate, and the common name for the target unique name The user can confirm the candidates, and by referring to the score, the candidate with the higher score among the candidates for multiple common names suggests to the user that the candidate has the correct common name for the original name. It has become.

Further, as described above, the specific result table 20 also includes a code column 25 provided with a HOT code list unit 25a, a drug price standard listed drug code list unit 25b, a YJ code list unit 25c, and a code list unit 25d for a receipt computer processing system. Since it is arranged in the original name column 20a together with the above-mentioned columns 21 to 23 of each universal name, each code corresponding to the candidate of each universal name is automatically numbered, and the user can use each candidate. The code can be easily recognized.

Next, in each process defined by the name identification program 12 stored in the storage unit 10 g, a candidate identification process for a common name based on the component name (ingredient name word) of the drug will be described. During the process of identifying a candidate for a common name based on the above-mentioned name keyword, the server device 10 accesses the big data 5 and searches the big data 5 using a plurality of name keywords stored in the word database 14. At this time, the process of searching the big data 5 using each of the plurality of component name words stored in the word database 14 is also performed. In this search process, MPU10a performs a process of searching (extracting) a unique name including a component name word (drug component name) from big data 5, and uses the component name word used in the search process of the hit unique name. It is temporarily stored in the RAM 10c in association with the unique name that was hit (extracted by the search).

Then, the MPU 10a uses the link database 13 shown in FIG. 4 to search for a common name (notification name, brand name, receipt computer processing system drug name) associated with the component name word used for the search for the original name. Specify as a candidate for a common name for each of the unique names.

As an example of the above processing, when a search is performed using amlodipine in the component name words stored in the word database 14 shown in FIG. 5, the notified name in the common name is amlodipine besilate 2.5 mg containing amlodipine. Tablets, (bureau) amlodipine tablets 2.5 mg "Taiyo", (bureau) amlodipine tablets 2.5 mg "Nichiiko", (bureau) amlodipine tablets 2.5 mg "Tanabe", (bureau) amlodipine OD tablets 2.5 mg "Towa" , (Bureau) Amlodipine OD Tablets 2.5 mg "Meiji", and (Bureau) Amlodipine OD Tablets 2.5 mg "Taiyo" are identified by MPU10a as candidates.

In addition, when a search is performed using amlodipine as the ingredient name word, the brand name in the common name and the drug name of the receipt computer processing system are amlodipine tablet 2.5 mg "ZJ", amlodipine tablet 2.5 mg "Taiyo", and amlodipine tablet. 2.5 mg "Nichiiko", Amlodipine Tablets 2.5 mg "Tanabe", Amlodipine OD Tablets 2.5 mg "Towa", Amlodipine OD Tablets 2.5 mg "Meiji", Amlodipine OD Tablets 2.5 mg "Taiyo" are candidates for MPU10a Specified by. In this example, the brand name and the name of the receipt computer processing system drug are the same.

Further, the MPU 10a calculates the degree to which the component name word used in the search is included in each of the specified candidates for each common name. In this embodiment, the case where the component name word is included is 100%, and the case where the component name word is not included is 0%, and the calculation is roughly divided into two. Amlodipine tablets 2.5 mg tablets with the notification name mentioned in the above-mentioned example of search processing using the ingredient name word amlodipine, amlodipine tablets 2.5 mg "ZJ" with the brand name, and the drug name of the receipt computer processing system The score is calculated to be 100% because all of these include the component name word amlodipine.

Furthermore, the MPU 10a uses the component database 16 shown in FIG. 7 to perform a process of specifying a code (identification information) associated with a sales name corresponding to each of the specified candidates. Then, the MPU 10a generates a result (specific result table 20) in which the candidates of the common name based on the above-mentioned component name word and the specified code are arranged. However, in the present embodiment, since there is a part that overlaps with the result of the common name candidate and the specified code based on the name keyword described above, the MPU10a is the first in the result of the process using the component name word. The result that overlaps with the processing using the name keyword (in this case, the specified candidate or code) is not rearranged in the specific result table 20, and the information that does not overlap (in this case, the component name used for the search). Word) is placed in the component name column 23 in the specific result table 20 shown in FIG.

FIG. 13 shows a component name column 24 in which the component name words used in the search process are arranged in the specific result table 20 generated by the MPU 10a. The component name column 24 is provided with a component name score column 24a and a component name list unit 24b. By the processing of MPU10a, the component name words (for example, amlodipine) used in the search process are arranged side by side in the component name list unit 24b, and the component name score column 24a is the percentage value of the score calculated by the above processing. (For example, 100%) are arranged side by side.

That is, in the specific result table 20 shown in FIG. 8 and the like, the information arranged in the notification name column 21, the brand name column 22, the receipt computer processing system drug name column 23, and the code column 25 has the names described above. It is based on the candidate of the common name and the result of the code specific processing based on the keyword, and since these processing results and the candidate of the common name based on the component name word and the result of the code identification processing have the same result content in some parts. , In order to simplify the processing of MPU10a, the specific result table 20 keeps the processing result using the previous name keyword as it is and overwrites the processing result using the component name word for the same result content. Absent.

Further, the specific result table 20 shown in FIGS. 8 to 14 only shows an example corresponding to some results of the above-mentioned processing, and actually, the other unique names extracted from the big data 5 are also shown. In the same manner as described above, the information related to the matching column 20b, the notification name column 21, the sales name column 22, the receipt computer processing system drug name column 23, the ingredient name column 24, and the code column 25 are arranged side by side.

The server device (MPU10a) arranges the specific result table 20 generated through the above-described processing on the screen data read from the screen database 18 (screen data corresponding to the result screen 43 shown in FIG. 17B) and results. A process of generating screen data and transmitting the generated result screen data to the access source terminal device 30 is performed. Since the specific result table 20 has a large number of rows and columns in the horizontal and vertical directions, the MPU 10a will generate result screen data so that the specific result table 20 can be scrolled in the horizontal and vertical directions. ..

The specific result table 20 included in the result screen data transmitted to the terminal device 30 as described above has a matching column 20b and a notification for the unique name to be processed (the one arranged in the unique name column 20a). Since the name column 21, the sales name column 22, the receipt computer processing system drug name column 23, the ingredient name column 24, and the code column 25 are arranged in association with each other, the composition of the unique name and the notification for the unique name are arranged. The user of the terminal device 30 can easily grasp the name candidate, the brand name candidate, the receipt computer processing system drug name candidate, the component, and the code.

Moreover, since the notification name column 21, the sales name column 22, the receipt computer processing system drug name column 23, and the ingredient name column 24 each include score columns 21a to 24a, refer to the percentage values of each score column 21a to 24a. By doing so, it becomes easier for the user to guess the candidate for the original name that is likely to be the correct name. Therefore, the user can identify the correct common name more efficiently than before for a large number of unique names included in the big data 5.

FIG. 15 is a block diagram showing a main internal configuration of the terminal device 30. As the terminal device 30 of the present embodiment, a computer having a communication function or the like (desktop type or notebook type personal computer or the like) is used, and FIG. 15 shows a configuration when this computer is used. In addition to the computer, a tablet terminal, a smartphone, or the like can also be applied as the terminal device 30, and the main internal components related to the present invention when the tablet terminal, the smartphone, or the like are used are the blocks shown in FIG. Since it is basically the same as the figure, FIG. 15 shows a block diagram common to devices applicable as the terminal device 30.

The terminal device 30 is a CPU 30a that performs overall control and various processes, and various devices and the like are connected by an internal connection line 30h. The various devices and the like have a communication unit 30b, a ROM 30c, a RAM 30d, and an input interface. There are 30e, a display output interface 30f, a storage unit 30g, and the like.

The communication unit 30b conforms to a required communication standard corresponding to a communication device connected to the network NW (for example, a LAN module), and is networked via a required communication device (not shown, for example, a router or the like). By connecting to the NW, communication with the server device 10 is possible. The ROM 30c stores a program or the like that defines the basic processing contents of the CPU 30a, and the RAM 30d temporarily stores the contents, files, or the like associated with the processing of the CPU 30a.

The input interface 30e is connected to a keyboard, mouse, or the like that receives operation instructions or the like from the user of the terminal device 30, and performs a process of receiving the operation instructions or the like by the user and transmitting the operation instructions to the CPU 30a. A display (display output device) is connected to the display output interface 30f, and the contents associated with the processing of the CPU 30a are output to the display and presented to the user (see screens 40 to 43 shown in FIGS. 16 and 17). ..

The storage unit 30g is a storage device composed of an HDD (Hard Disc Drive), an SSD (Solid State Drive), or the like, and stores the terminal OS 31, the Japanese Accepted Name identification program 32, and the like. The terminal OS 31 corresponds to an operating system that defines basic processing performed by the CPU 30a in order to make the terminal device 30 function as a computer. The drug name identification program 32 sets big data, files, etc. to be processed based on user operations, and displays and outputs common name candidates for unique names included in the set big data, files, etc. on the display. It is an application program (application) that defines the processing content of the CPU 30a relating to the above, and includes processing content having a function of generating and displaying a screen corresponding to screen data sent from the server device 10.

When the drug name specifying program 32 of the present embodiment is installed in the storage unit 30g, an icon corresponding to the drug name specifying program 32 is selectively generated by the processing of the terminal OS 31 described above, and the icon is displayed on the home screen. It is placed on the menu screen, etc. When the user performs the above icon selection operation, the drug name identification program 32 is activated, and the CPU 30a performs a process of displaying and outputting the login screen 40 shown in FIG. 16A on the display.

The login screen 40 of FIG. 16A has a user ID input field 40a, a password input field 40b, and a login button 40c, and necessary information is input to the user ID input field 40a and the password input field 40b by user operation. Then, the login button 40c becomes active and can be selected. If the login button 40 is selected with the user ID and password entered in the user ID input field 40a and the password input field 40b, it means that the login operation has been accepted, and the input fields 40a and 40b are input. The login screen 40 is built in so as to transmit information (login information indicating a user ID and password) to the server device 10.

When the terminal device 30 receives a login failure notification from the server device 10 in response to the transmission of the above login information, the entered user ID or password is different so that the user can perform the login operation again. The CPU 30a performs a process of displaying a login screen indicating that login is not possible on the display. Further, when the terminal device 30 receives the login completion notification and the screen data sent from the server device 10 in response to the transmission of the login information, the terminal device 30 (CPU 30a) displays the search target setting screen shown in FIG. 16 (b). 41 is generated, and the display is switched to the generated search target setting screen 41.

The search setting target screen 41 of FIG. 16B is a screen in which the user sets a search processing target including a unique name, and includes a search processing target setting field 41a and a next button 41c for proceeding to the next. Big data, files, etc. that can be set as processing targets are arranged side by side in the search processing target setting field 41a, and the user can select the desired processing target by moving the cursor 41b up and down. There is. On the search target setting screen 41, when the user selects a desired processing target from the search processing target setting field 41a with the cursor 41b and the next button 41c is selected, the terminal device 30 (CPU 30a) , The confirmation screen 42 shown in FIG. 17A is generated, and the process of switching the display display from the search target setting screen 41 to the confirmation screen 42 is performed.

The confirmation screen 42 of FIG. 17A includes a confirmation message 42a, a back button 42b, and an OK button 42c. The confirmation message 42a is a standard message text to which a name indicating a processing target set on the search target setting screen 41 of FIG. 16B is applied. In this example, the case where big data 5 is selected on the search target setting screen 41 is shown, and the confirmation message 42a on the confirmation screen 42 is the message text "Search for big data 5. Are you sure?" (The part of the message text excluding "Big Data 5" is a fixed phrase).

Then, when the return button 42b is selected on the confirmation screen 42, the terminal device 30 performs a process of returning the display display from the confirmation screen 42 to the search target setting screen 41, giving the user an opportunity to reselect the processing target. provide. When the OK button 42c is selected on the confirmation screen 42, the terminal device 30 (CPU30a) notifies the search instruction that specifies the processing target (for example, big data 5) set on the search target setting screen 41. Is transmitted to the server device 10.

When the terminal device 30 receives the result screen data including the specific result table 20 from the server device 10 in response to the notification of the search instruction being transmitted to the server device 10, the terminal device 30 (CPU 30a) receives the received result. Based on the screen data, a result screen 43 (see FIG. 17B) in which the specific result table 20 is arranged so as to be scrollable in the vertical and horizontal directions is generated and displayed on the display.

As shown in FIG. 17B, in the result screen 43, a rectangular specific result table 20 is arranged in the center, a vertical scroll bar 43a is provided along the right side, and a horizontal scroll bar 43b is provided along the lower side. Therefore, the user can appropriately operate each of these scroll bars 43a and 43b so that the user can confirm the entire specific result table 20. If the display of the terminal device 30 is a touch panel type, the scroll bars 43a and 43b described above can be omitted so that the display range can be changed in the vertical direction or the horizontal direction by swiping the touch panel type display screen. At the same time, the required range of the specific result table 20 may be expanded or the specific result table 20 may be reduced by a pinch-out or pinch-in operation. The result screen 43 is provided with an end button 43c at the lower right, and when the end button 43c is selected, the display is returned to the search setting target screen 41 of FIG. 16B, and other search processing is performed. Provides a state in which the user can set the target.

In the first and second flowcharts shown in FIGS. 18 and 19, the search processing target (for example, big data 5) is searched by the server device 10 and the terminal device 30 described above, and the unique name included in the big data 5 is extracted. , The processing procedure of the drug name identification method for specifying the candidate of a common name for the extracted unique name is shown. Hereinafter, the processing flow of the drug name identification method will be organized and described according to the first and second flowcharts. It is assumed that the first flowchart starts from the state in which the terminal device 30 activates the drug name specifying program 32.

First, in the first flowchart, the terminal device 30 displays a login screen 40 (see FIG. 16A) on the display with the activation of the Japanese Accepted Name identification program 32 (S1), and the user ID and password are input. It is determined whether or not the login operation has been accepted (S2). When there is no login operation by the user (S2: NO), the terminal device 30 is in a state of waiting for the login operation to be performed, and when the login operation is accepted (S2: YES), the input user ID and password are included. A process of transmitting the login information to the server device 10 is performed (S3).

The server device 10 is initially in a state of determining whether or not login information has been received (S11), and when it does not receive login information (S11: NO), it is in a state of waiting for login information to be transmitted. Become. On the other hand, when the login information is received (S11: YES), the server device 10 determines whether or not the information matching the user ID and password included in the login information is stored in the user database 17. (S12).

When the information stored in the user database 17 and the user ID and password included in the login information do not match (S12: NO), the server device 10 transmits a login failure notification to the access source terminal device 30 (S13). .. When the login failure notification is transmitted, the process of the server device 10 returns to the first stage of S11, and the determination of receiving the login information again is performed. On the other hand, when the information stored in the user database 17 and the user ID and password included in the login information match (S12: YES), the server device 10 sets the user of the access source terminal device 30 to the login state. At the same time, a login completion notification is transmitted to the access source terminal device 30 together with the screen data corresponding to the search target setting screen 41 of FIG. 16 (b) (S14).

The terminal device 30 determines whether to receive the login failure notification or the login completion notification in connection with the transmission of the login information at the stage of S3 (S4), and when the login failure notification is received (S4). : Impossible), return to the first S1 stage, display a login screen that includes the fact that login is not possible and that you need to enter the correct login information, and provide the user with an opportunity to log in again. On the other hand, when the login completion notification is received (S4: completion), the terminal device 30 generates the search target setting screen 41 of FIG. 16B and displays it on the display based on the screen data received together with the login completion notification. (S5).

Then, the terminal device 30 determines on the displayed search target setting screen 41 whether or not the user has accepted the setting operation of the search processing target (processing target) (S6), and does not accept the setting operation (S6: NO). ), Waiting for the user to perform the setting operation. On the other hand, when the setting operation by the user is accepted (S6: YES), the terminal device 30 generates a confirmation screen 42 (see FIG. 17A) showing the search target (for example, big data 5) related to the setting operation. And display it on the display (S7).

Then, the terminal device 30 determines whether or not the selection operation by the user of the OK button 40c arranged on the confirmation screen 42 is accepted (S8), and when the selection operation of the OK button 40c is not performed (S8: NO). , The OK button 40c is in a state of waiting for a selection operation. On the other hand, when the selection operation of the OK button 40c is accepted (S8: YES), the terminal device 30 transmits a search instruction to the effect that the set processing target (for example, big data 5) has been specified to the server device 10 (S8: YES). S9). After the step S9 in the terminal device 30, the process proceeds to the process shown in the second flowchart of FIG.

When the server device 10 transmits the login completion notification at the stage of S14, it determines whether or not the search instruction from the access source terminal device 30 has been received (S15), and does not receive the search instruction (S15: NO), the state waits for the search instruction to be sent. On the other hand, when the search instruction is received (S15: YES), the process of the server device 10 proceeds to the stage of S20 shown in the second flowchart of FIG.

In the second flowchart of FIG. 19, the server device 10 (MPU10a) accesses the processing target (for example, big data 5) included in the search instruction, and uses a plurality of name keywords and component name words stored in the word database 14. It is used to perform a search process of a unique name including a name keyword and a unique name including a component name word from the information included in the processing target (big data 5) of the access destination (S20). Then, whether or not any of the plurality of decomposed words stored in the word database 14 is included for each of the unique names searched (hits) by the search process using the name keyword is determined by the server device 10 (MPU10a). ) Performs a determination process (S21).

Then, the server device 10 (MPU10a) uses the name keyword used when the search process in the S20 stage hits for each of the unique names hit by using the name keyword in the S20 stage, and the S21 stage. A matching table (see the unique name column 20a and the matching column 20b in FIG. 9) associated with the decomposed words determined to be included in the unique name is generated (S22). At this time, the server device 10 (MPU10a) calculates the total number of name keywords and decomposed words associated with the unique name as a score and includes it in the generated matching table. Further, at the stage of S22, the server device (MPU10a) has generated a matching table for the original name corresponding only to the component name word without including the name keyword, and the original name including the component name word is referred to. A matching table is generated so as to include the contents associated with the component name words.

Next, the server device 10 (MPU10a) corresponds to the unique name by applying the name keyword and the decomposition word associated with each unique name stored in the matching table described above to the link database 13 shown in FIG. A process for specifying a candidate for a common name (notification name, brand name, receipt computer processing system drug name) is performed (S23). At the stage of S23, the server device 10 (MPU10a) also performs a process of identifying a candidate for a common name associated with the component name word used for the search at the stage of S20 in the link database 13.

Further, the server device 10 (MPU10a) calculates the score for each of the candidates specified based on the name keyword and the decomposition word as a specific process to which the name keyword and the decomposition word are associated with each other (S24). At the stage of S24, the server device 10 (MPU10a) also performs a process of specifying a score of 100% for the component name word used in the search. Further, the server device 10 (MPU10a) uses the code database 15 (see FIG. 6) to code (identify) according to the common name (notification name, sales name, receipt computer processing system drug name) related to each specified candidate. Information) is specified (S25). This code is specified for both the candidate specified based on the name keyword and the decomposition word and the candidate specified based on the component name word.

Then, the server device 10 (MPU10a) has a unique name column 20a, a matching column 20b, a notification name column 21, a sales name column 22, a receipt computer processing system drug name column 23, and an ingredient based on the processing results of S20 to 25 described above. A specific result table 20 (see FIGS. 8 to 14) including a name field 24 and a code field 25 is generated (S26). Specifically, the server device 10 (MPU10a) is based on the unique name column 20a and the matching column 20b corresponding to the matching table generated at the stage of S22, and the notification name column 21 and the sales name column are to the right of the matching column 20a. 22, Receipt computer processing system The information related to the drug name column 23, the ingredient name column 24, and the code column 25 is arranged, and in the vertical direction, each score is divided from top to bottom in descending order of the score calculated in the stage of S24. The specific result table 20 is generated by arranging the corresponding names in the columns 21 to 24 and arranging the codes corresponding to the respective names in the code column 25. If the specific result based on the component name word overlaps with the specific result based on the name keyword and the decomposition word, the specific result based on the component name word is not reflected in the specific result table 20.

Further, the server device 10 (MPU10a) generates result screen data in which the generated specific result table 20 is arranged (S27), and performs a process of transmitting the generated result screen data to the access source terminal device 30 (S27). S28). By performing the processing in the stage of S28, the processing on the server device 10 side is once completed, and when the terminal device 30 side further selects the processing target (for example, the search instruction transmission in the stage of S9). , The server device 10 restarts the processing after S20, and when the log-off operation is performed on the terminal device 30 side, the server device 10 side waits for the restart of the processing from the stage of S11 shown in FIG.

After transmitting the search instruction to the server device 10 at the stage of S9 in the first flowchart of FIG. 18, the terminal device 30 determines whether or not the result screen data sent from the server device 10 is received (S30). If the result screen data is not received (S30: NO), the server device 10 waits for the result screen data to be transmitted. On the other hand, when the result screen data is received (S30: YES), the terminal device 30 generates a result screen 43 (see FIG. 17B) in which the specific result table 20 is arranged based on the received result screen data. (S31), the generated result screen 43 is displayed on the display (S32).

By displaying the result screen 43 on the terminal device 30 side in this way, the user of the terminal device 30 can assign a plurality of unique names included in the big data 5 set as the search processing target to the specific result included in the result screen 43. It can be confirmed from the unique name column 20a of the table 20, and the component keywords and decomposition words constituting each unique name can be confirmed from the matching column 20b. In addition, the user of the terminal device 30 can use each name (each common name) arranged in the notification name column 21, the sales name column 22, and the receipt computer processing system drug name column 23 for each unique name in the unique name column 20a. Candidate names (notification name, brand name, receipt computer processing system drug name) can be confirmed, and the probability of being the most correct common name among these candidates can be grasped from the percentage value of the score, so for the original name It makes it easier to guess the correct common name, and it is also useful for investigating the usage status of medicines.

Further, the user of the terminal device 30 can use the ingredient name word arranged in the ingredient name column 24 to obtain the original name arranged in the original name column 20a, the notification name column 21, the sales name column 22, and the receipt computer processing system drug name. The components of the drug indicated by each common name arranged in column 23 can be confirmed at a glance. Furthermore, the user of the terminal device 30 uses the code (identification information) based on the plurality of standards arranged in the code column 25 to obtain the original name arranged in the original name column 20a, the notification name column 21, and the sales name column 22. , Receipt computer processing system Even the drug code indicated by each common name arranged in the drug name column 23 can be confirmed in a list. In this respect, the present invention provides a useful advantage to the user.

The present invention is not limited to the above-described description, and various modifications can be applied. For example, in the above description, in the processing using the component name word, a unique name including the component name word is searched (extracted) from the big data 5, but as in the processing using the name keyword and the decomposition word, In the process using the component name word, a process using the decomposition word may be introduced to specify a plurality of common name candidates and a score (to the extent that the candidate includes the decomposition word). ..

FIG. 20 shows a part of the specific result table 80 of the modification generated through the processing by the component name word and the decomposition word. The specific result table 80 of this modification is a search component in the case where the unique name Nitrazepam Tablets 5 is included in the plurality of unique names stored in the big data 5 of the search processing target set by the user. It was generated when Nitrazepam was used as the name word and Tablet 5 was used as the decomposition word. It is assumed that the component name word nitrazepam and the disassembled word lock 5 are stored in the word database 14 of FIG. 5, respectively.

Similar to the specific result table 20 shown in FIGS. 8 and 9, the specific result table 80 of the modified example of FIG. 20 has a unique name column 80a and a matching column 80b corresponding to the matching table, and has a sales name on the right side thereof. It has a column 82 and a code column 82. In the unique name column 80a, the above-mentioned unique name of nitrazepam tablet 5 is arranged, and in the matching column 80b, 3 is arranged as a score, nitrazepam as an ingredient name word, and a tablet 5 as a decomposition word. It should be noted that such arrangement of each information is performed by the processing of the server device 10 (MPU10a) as in the case of the processing based on the above name keyword, and the score is also calculated in the case of the processing based on the above name keyword. It is done in the same way as. Then, each sales name or the like arranged in the sales name column 82 is specified by a process using the link database 13'shown in FIG. 21 or the decomposition code included in the word database 14.

The link database 13'shown in FIG. 21 represents a part not included in the range shown in the link database 13 of FIG. This partial link database 13'indicates the trade names of Nerbon Tablets 10 mg, Nerbon Tablets 5 mg, Nerbon Powder 1%, Benzarin Tablets 2, Benzarin Fine Granules 1%, Benzarin Tablets 10, and Benzarin Tablets 5 in the common name column 13a'. All of these branded drugs have nitrazepam as the ingredient name word (see ingredient name word column 13d'). As specific examples of these, the brand name Nerbon Tablets 10 mg includes Nerbon as a name keyword (see name keyword column 13b'), tablets as a decomposition word 10, mg (see word column 13c'), and an ingredient name word. Nitrazepam is associated, and the brand name Nerbon Tablets 5 mg is associated with Nerbon as the name keyword, Tablets 5, mg as the decomposition word, and Nitrazepam as the ingredient name word, and the brand name Nerbon San 1%. Is associated with Nerbon as the name keyword, dispersal as the decomposition word, 1,%, and nitrazepam as the component name word.

The generation of the specific result table 80 as shown in FIG. 20 is the component name word stored in the word database 14, and when the server device 10 searches for big data 5 which is a processing target set by the user, as described above. Since the word database 14 includes nitrazepam as a component name word, the unique name of nitrazepam tablet 5 is hit and extracted from big data 5 by this search process (of course, other unique names including nitrazepam are also hit. Will be extracted).

Then, the server device 10 (MPU10a) performs a process of determining whether or not any of the plurality of decomposed words stored in the word database 14 is included in each unique name extracted from the big data 5. For the example of nitrazepam tablet 5 contained in the hit, it is determined that the ingredient name word nitrazepam and the two decomposition words tablet 5 are included. Based on such a determination result, the server device 10 (MPU10a) has a unique name of the hit nitrazepam lock 5 with respect to the unique name column 80a in which the unique name of the nitrazepam lock 5 shown in FIG. 20 is arranged. A matching column 80b is generated in which a score of 3, nitrazepam of the component name word, a lock of the decomposition word, and 5 are arranged. As for the method of calculating the score of 3, the number of hits of the component name word (the number of hits in this example is 1) and the number of hits of the decomposed word (the number of hits in this example is 2) are the same as in the above explanation. ) Indicates the total number.

Then, the server device 10 (MPU10a) applies each word (component name word, decomposition word, etc.) arranged in the matching column 80b to the link database 13 (link database 13'), and selects a common name candidate for the original name. Identify. In the modified example based on this ingredient name word, by applying the ingredient name word nitrazepam and the decomposition word tablet 5, Nerbon tablets 10 mg, Nerbon tablets 5 mg, Nerbon powder 1%, benzalin tablets 2, shown in the link database 13', The trade names of 1% benzalin fine granules, 10 benzalin tablets, and 5 benzalin tablets 5 will be specified as candidates for common names.

Then, the server device 10 (MPU10a) specifies the degree (score) at which the component name word and the decomposition word are associated with each of the specified common name candidates in the link database 13 (link database 13'). However, in the modified example based on this ingredient name word, the common names of Nerbon Tablets 10 mg, Nerbon Tablets 5 mg, Nerbon Powder 1%, Benzarin Tablets 2, Benzarin Fine Granules 1%, Benzarin Tablets 10, and Benzarin Tablets 5 are commonly used. The score will be calculated for the candidate (brand name).

In the case of Nerbon Tablets 10 mg, it is composed of a total of four words, Nerbon, Tablets, 10 and mg. In the link database 13', the component name word Nitrazepam and the decomposition word Tablet are associated, so 2 (corresponding) A score (degree) of (number of words attached) / 4 (number of words composed) = 0.5 = 50% is calculated by MPU10a. In the case of Nerbon Tablets 5 mg, it is composed of a total of four words, Nerbon, Tablets 5, and mg. In the link database 13', the component name word Nitrazepam and the two decomposition words Tablet and 5 are associated. A score (degree) of 3 (number of associated words) / 4 (number of words composed) = 0.667 = 66% (rounded down to the third decimal place) is calculated.

In the case of Nerbon San 1%, it is composed of a total of four words, Nerbon, San, and%. In the link database 13', only the component name word Nitrazepam is associated, so 1 (associated word). Number) / 4 (number of words composed) = 0.25 = 25% score (degree) is calculated. In the case of benzalin tablet 2, it is composed of a total of three words, benzalin and tablet 2, and in the link database 13', the component name word nitrazepam and the decomposition word tablet are associated with each other. The score (degree) of 3 (the number of words) = 0.667 = 66% (rounded down to the third decimal place) is calculated.

In the case of benzalin fine granules 1%, it is composed of a total of four words, benzalin, fine granules, and 1%. In the link database 13', only the component name word nitrazepam is associated, so 1 (corresponding). A score (degree) of 4 (number of words) = 0.25 = 25% is calculated. In the case of benzalin tablet 10, a score (degree) of 66% (rounded down to the third decimal place) is calculated as in the case of benzalin tablet 2. In the case of benzalin tablet 5, it is composed of a total of three words, benzalin, tablet 5, and in the link database 13', the component name word nitrazepam is associated with the two decomposition words tablet and 5, so 3 A score (degree) of (number of associated words) / 3 (number of words composed) = 1.0 = 100% is calculated.

The server device 10 (MPU10a) generates the sales name score column 22a by arranging the scores calculated as described above in descending order of the percentage value, and arranges the candidates for the sales name (common name) according to each score in FIG. 20. The sales name list 81b shown in the above is generated. Then, the server device 10 (MPU10a) specifies the code (YJ code) for the sales name related to the candidate arranged in the sales name list 81b with reference to the component database 16 shown in FIG. 7, and the code column 82 (YJ code). Each of the specified codes is arranged in the code column 82) to generate the specific result table 80 shown in FIG.

Therefore, if the result screen including the specific result table 80 generated through the processing of the above modification is presented to the user's terminal device 30, the user can easily guess the correct candidate of the common name based on the component name. This is especially useful when the unique name is composed of component name words. In addition, in the above-mentioned modified example, in order to avoid complicating the explanation contents, the case of the brand name is described as a common name, but both the notification name and the receipt computer processing system drug name are the same as the case of the above-mentioned brand name. Similarly, it can be applied to the processing of the modification by the component name word, and it is of course possible to provide at least one of the notification name column and the receipt computer processing system drug name column in the specific result table 80.

Further, regarding the code, the case of the YJ code (individual drug code) has been described in the above-mentioned modified example in order to narrow down the explanation content, but either the HOT code, the drug price standard listed drug code, or the code for the receipt computer processing system As in the case of the YJ code described above, can be applied to the processing of the modified example by the component name word, and in the code column 82 of the specific result table 80, the HOT code, the drug price standard listed drug code, or the receipt computer processing system Of course, it is possible to provide at least one of the code for use.

Further, in the above description, two types of processing are performed: processing based on the name keyword (and decomposition word) and processing based on the component name word (and decomposition word) (including processing of the modification example of the component name word described above). Although it was used together, only when it is clear that the unique name included in the search processing target (corresponding to the name group including multiple unique names) is based on the name keyword, or only the unique name having the name keyword If you want to extract, you may omit the processing based on the component name word (and decomposition word) and perform only the processing based on the name keyword (and decomposition word).

On the other hand, when it is clear that the unique name included in the search processing target (corresponding to the name group including multiple unique names) is based on the component name word, or only the unique name having the component name word is extracted. If you want to do so, you may omit the processing based on the name keyword (and decomposition word) and perform only the processing based on the component name word (and decomposition word).

In this way, in order to enable only one of the processing based on the name keyword (and the decomposition word) and the processing based on the component name word (and the decomposition word), for example, the menu screen on the terminal device 30 side can be displayed. It is displayed on the display so that the user can set the processing of one system to be executed in the processing of the two systems on the menu screen, and also transmit the set processing content to the server device 10 to convey it. To do. When the server device 10 receives the processing system set by the user, only the processing of the received system is executed.

In order to make it easier for the server device 10 to execute only the system processing set as described above, for example, each word stored in the word database 14 is a flag that identifies a name keyword, a component name word, or a decomposition word. It is preferable to attach the identification information and the like. Since the link database 13 is provided with a name keyword column 13b and a component name word column 13d, information arranged in the name keyword column 13b when only processing based on the name keyword (and decomposition word) is performed. The server device 10 will refer to the information, and when only the processing based on the component name word (and the decomposition word) is performed, the server device 10 will refer to the information arranged in the component name word column 13d.

Further, it is also possible to make a specification in which only one of the processes is exclusively executed, in addition to the specification in which the user selects and sets the process to be executed from the two systems of processes on the menu screen. For example, a system, a server device 10, a terminal device 30, etc. are constructed with a specification that exclusively performs processing based on a name keyword (and decomposition word) or a specification that exclusively performs processing based on a component name word (and decomposition word). It is also possible to do. In the case of such a dedicated specification, since the processing on the non-execution side and the information stored in the database can be omitted, there is an advantage that the processing and the database can be simplified.

For example, when adopting a specification that performs only processing based on the name keyword (and decomposition word), the information related to the component name word can be omitted from the link database 13 and the word database 14, while the component name word (and the component name word) And when a specification that performs only processing based on the decomposed word) is adopted, the information related to the name keyword can be omitted from the link database 13 and the word database 14.

Further, in the above description, search processing, determination processing, specific processing, etc. are performed on the text (character data), but in the present invention, as disclosed in the above-mentioned Patent Documents 6 to 8, etc. It can also be used for images (for example, photographed images) of drug names and codes (names and codes based on information such as letters, numbers, alphabets, or symbols printed on drug packages and packaging). When the name or code of the drug is an image, the server device 10 (MPU10a) performs a well-known image recognition process, recognizes information such as characters, numbers, alphabets, or symbols contained in the image, and recognizes the information of the drug. Determine the name and code. If the name and code of the drug can be recognized from the image, then the above-mentioned search processing, judgment processing, specific processing, etc. can be performed, and the unique name can be extracted from the processing target or the common name corresponding to the extracted unique name. Can identify candidates and codes.

In addition, when the above-mentioned drug name (unique name, various common names, etc.) and the image (photographed image) including the code are stored in the processing target (for example, big data 5), the link database 13, the word. It can be assumed that the data is stored in a database such as a database 14, a code database 15, or a component database 16. Furthermore, when the image is processed as described above, in addition to arranging the information (name and code) recognized from the image in the specific result table 20 generated by the server device 10 (MPU10a), The original image (captured image) may be arranged as it is, and the original image information may be presented to the user.

Further, the processing target (name group, for example, big data 5) including a plurality of unique names is not limited to the configuration stored in the cloud (cloud device 4) shown in FIG. 1, and the server device 10 (MPU10a). ) Is accessible, the place where the processing target is saved is not limited. Therefore, the processing target may be stored in the storage unit 10 g of the server device 10 or the storage unit 30 g of the terminal device 30, and further, stored in various storage media such as a USB memory, a memory card, a CD, and a DVD. Then, the server device 10 or the terminal device 30 reads out the processing target stored in these various storage media, so that the above-mentioned processing can be performed.

As described above, as long as the server device 10 (MPU10a) can access the processing target, the storage location is not limited to the database used for processing the link database 13, the word database 14, the code database 15, the component database 16, and the like. Also applies to. Therefore, these databases 13 to 16 are also stored in, for example, a database server communicably connected to the network NW, and during processing, the server device 10 appropriately stores the databases 13 to 13 to such a database server. 16 may be accessed, necessary information may be read out, and processing may be performed as appropriate. In this way, if each database 13 to 16 is stored in the database server, there is an advantage in that each database 13 to 16 can be managed externally and updates and the like can be collectively performed externally.

Note that these databases 13 to 16 do not store all of them in the database server, but store some databases (for example, code database 15 and component database 16) in the database server and the remaining databases (for example, linked database). 13) and the word database 14) can also be stored in a distributed manner so as to be stored in the storage unit 10g of the server device 10. In the case of storing in a distributed manner in this way, for example, the database (for example, the link database 13 or the word database 14) that is mainly used in each process is stored in the server device 10 side and is stored in a general-purpose database (for example, a code). It is preferable that the database 15 and the component database 16) are stored in an external database server.

Further, when the information stored in the processing target (for example, big data 5) is limited to the name group of the unique name based on the name keyword, and other miscellaneous information is not stored, the processing target (for example) For example, the process of searching and extracting a plurality of unique names from the big data 5) can be omitted (the process of the stage of S20 shown in FIG. 19), and in this case, the processing target is generated when the matching table of the stage of S22 is generated. By decomposing each unique name, it is possible to identify what the name keyword included in each unique name stored in is, and to generate a matching table.

This modification applies even when the information stored in the processing target (for example, big data 5) is limited to the original name based on the component name word, and other miscellaneous information is not stored. Also at this time, the process at the stage of S20 shown in FIG. 19 can be omitted. Further, even when the processing target is narrowed down to only the original name from the beginning, the processing of the above modified example can be applied, and the processing at the stage of S20 shown in FIG. 19 can be omitted to improve the efficiency of the processing.

In addition, in the above explanation, three types of names, the notification name, the brand name, and the receipt computer processing system drug name, were specified as candidates for common names, but in addition to specifying these three types of names, the drug price standard listing It is also possible to specify four types of names by adding the drug name, and on the other hand, it is also possible to modify so as to specify only the required type of name from these four types. For example, if necessary, the candidate for the common name to be specified may be only one of the names of each type described above, and further, any two types of the names of each type described above may be specified. The name of may be specified as a candidate for a common name. It is preferable to reduce the types of candidates to be specified in this way because the processing load on the server device 10 (MPU10a) can be reduced.

The above-mentioned modification for reducing the types of candidates for the specified common name also applies to the code (identification information) for identifying the drug. That is, in the above description, as the identification code (identification of the code at the stage of S25 shown in FIG. 19), the HOT code (reference number), the drug price standard listed drug code, the YJ code (individual drug code), and the receipt computer Four types of codes are specified according to the processing system code, but in addition to specifying these four types of codes, it is also possible to modify the code so that only the necessary types of codes are specified. For example, if necessary, the code to be specified may be only one of the four types of codes described above, or any two types of codes among the four types of codes described above may be used. It may be specified, and further, any three types of codes among the above-mentioned four types of codes may be specified. Reducing the types of codes specified in this way from three types is preferable in that the processing load on the server device 10 (MPU 10a) can be reduced.

On the other hand, with regard to drug codes, it is possible to increase the types of codes specified in addition to reducing them as described above. For example, in addition to the four types of codes described above, "GTIN (GS1) code" and "GTIN (GS1) code" The "JAN code" and "ATC code" may be included in the specified code. If a code that specifies any of these "GTIN (GS1) code", "JAN code", and "ATC code" is included, the code database 15 shown in FIG. 6 also corresponds to each of these codes. It is necessary to include the information, and the code column 25 of the specific result table 20 generated by the server device 10 (MPU10a) will include the specific result of the added code. In the above-mentioned example, the 13-digit HOT-13 is used for the HOT code, but in addition to the HOT-13, the 11-digit HOT- in which the distribution number corresponding to the last two-digit packaging unit is omitted. 11. Corresponds to the 9-digit HOT-11, which omits the dispensing number according to the packaging form and ends with the company identification number, or the drug price standard listed drug code including the prescription number and the number related to the check digit. It is also possible to use any of the 7-digit HOT-7.

Further, in the above description, each common name is according to the percentage value of the score indicating the degree to which the name keyword or decomposition word is associated with the link database 13 or the degree to which the component name word or decomposition word is associated with the link database 13'. Although the specific result table 20 in which the candidates of the above are arranged from the top to the bottom is generated, the specific result table 20 may be arranged from the bottom to the top according to the percentage value of the score, and depending on the layout of the specific result table 20, the score The arrangement of candidates based on the percentage value of may be changed as appropriate.

Further, although the score is expressed as a numerical value of a percentage in the above explanation, it is also possible to express it as a numerical value of a decimal point or a ratio. Further, the ranking may be specified in descending order of the calculated value that is the basis of the numerical value of the percentage instead of the score, and the ranking may be used as the degree. Furthermore, in order to reduce the processing load of the server device 10 (MPU10a), specific processing such as a score may be omitted, and in particular, the number of candidates for a common name specified for a unique name. When there are few (for example, when the number of candidates specified for a certain unique name is about 1 or 2), the user can easily guess the correct candidate from the presented specific result table 20 by his / her own judgment. Since it is a situation, even if the specification such as the judgment score is omitted, the convenience of the user is not substantially reduced. In the calculation of the score, weighting may be used. For example, the name keyword plays an important role in identifying the drug. Therefore, when the name keyword is hit, the number of hits is reduced to about 1. It is also possible to calculate the score by setting the value to about 5 to 2 times (the same applies to the component name word).

Further, in the above description, the processing according to the method for specifying the drug name of the present invention is executed by using the drug name specifying program 32 stored in the storage unit 30g of the terminal device 30, but the storage unit of the terminal device 30 A well-known browsing program for browsing websites is installed in 30 g, the server device 10 functions as a web server, and the drug name identification system of the present invention is constructed via the website distributed by the server device 10. , It is also possible to make a modified example of executing the method for specifying a drug name of the present invention. In this case, the name identification program 12 stored in the storage unit 10g of the server device 10 also defines the function as a web server, and the screens 40 to 43 shown in FIGS. 16 and 17 are displayed on the web through the website. The screen data related to each screen 40 to 43 is stored in the screen database 18 so that it can be provided as a site screen (site screen).

Therefore, the terminal device 30 on the user side activates the browsing program to access the website provided by the server device 10, and the server device 10 side visits the access source terminal device 30 to the login screen 40 shown in FIG. 16A. By transmitting the screen data according to the above, the terminal device 30 displays the login screen 40 as the site screen on the display. Then, when the user inputs predetermined login information on the login screen 40 and a login operation is performed, each process of steps S3, S4 and S11 to S14 in FIG. 18 is performed, and when the login is completed, the server The device 10 side transmits screen data to the access source terminal device 30 according to the search target setting screen 41 shown in FIG. 16B, so that the terminal device 30 uses the search target setting screen 41 as a site screen on the display. indicate.

Then, when a processing target is selected on the search target setting screen 41, that fact is transmitted to the server device 10, and screen data corresponding to the confirmation screen 42 shown in FIG. 17A is transmitted from the server device 10 to the terminal device 30. As a result, the confirmation screen 42 is displayed as a site screen on the display of the terminal device 30. When the user operates the search instruction on the confirmation screen 42, the search instruction is transmitted to the server device 10, and the server device 10 performs the processes of steps S15 in FIG. 18 and S20 to 28 in FIG. Since the screen data corresponding to the result screen 43 including the specific result table 20 is transmitted to the terminal device 30, the result screen 43 is displayed as a site screen by the browsing program on the display of the terminal device 30.

As described above, in the case of the modification in which the present invention is performed based on the website, the terminal device 30 on the user side only needs to use the normally installed browser program, so that the user can carry out the present invention. The burden on the side can be significantly reduced, thereby providing an environment in which the present invention can be widely used.

Furthermore, in the above description, user registration and login related to user authentication have been described, but when the user to be used is clear or limited, user registration and login related to user authentication are described. It can be omitted. Further, it is of course possible to apply the above-mentioned various modifications in combination as appropriate.

FIG. 22 is a schematic view showing an overall system configuration including an example of the drug name specifying system 100 according to the second embodiment (Example 2) of the present invention. The drug name specifying system 100 according to the second embodiment is characterized in that the terminal device 130 on the user side performs each of the main processes according to the present invention such as search, determination, and identification, and is a server. The device 110 merely stores various databases as a database server. The terminal device 130 accesses the big data 105 stored in the cloud (cloud device 104) and the server device 110 via the network NW to perform various processes, and the big data 105 (name group including a plurality of unique names). Search for a unique name from (corresponding to), identify a candidate for a common name for the searched unique name, generate a specific result table showing the specified result, and display it on the display. Even in the second embodiment, the cloud device 104 including the big data 105 is not included in the configuration contents of the drug name specifying system 100, and corresponds to the processing target (search target) of the system.

Since the internal configuration of the terminal device 130 is the same as that of the terminal device 30 of the first embodiment shown in FIG. 15, details will be omitted. However, in the terminal device 130 of the second embodiment, the drug name specifying program 132 stored in the storage unit (corresponding to the storage unit 30 g of FIG. 15) is stored in the terminal device 13 of the first embodiment. In addition, the contents corresponding to the processing specified by the name specifying program 12 (see FIG. 3) stored in the server device 10 of the first embodiment are additionally included. Therefore, in the second embodiment, the contents are additionally included. This drug name identification program 132 corresponds to the computer program according to the present invention. The cloud device 104 and big data 105 related to the cloud are also the same as the cloud device 4 and big data 5 of the first embodiment.

Since the internal configuration of the server device 110 is the same as that of the server device 10 of the first embodiment shown in FIG. 3, details will be omitted. Further, the link database 113, the word database 114, the code database 115, the component database 116, the user database 117, and the screen database 118 stored in the storage unit of the server device 110 are stored in the server device 10 of the first embodiment. It is basically equivalent to the link database 13, the word database 14, the code database 15, the component database 16, the user database 17, and the screen database 18. However, the name identification program 112 stored in the server device 110 of the second embodiment defines the processing related to user registration and user authentication (authentication such as login) from the name identification program used in the first embodiment. The provisions for processing related to staying, searching, determination, identification of candidates, etc. are omitted, and the processing that allows the server device 110 to function as a database server is specified.

The processing procedure in the second embodiment (corresponding to the processing procedure in the method for specifying the drug name according to the second embodiment) is S1 to S1 of the first flowchart of the first embodiment shown in FIG. 18 for login and the like related to user authentication. The processing contents are the same as those of S8 and S11 to S14, and accordingly, the terminal devices 130 on the user side display the screens 40 to 42 shown in FIGS. 16 (a) and 16 (b) and 17 (a). To. Then, when the terminal device 130 receives the search instruction by the user operation on the screen 42 shown in FIG. 17A, the terminal device 130 executes the processes S20 to S27 shown in the second flowchart of FIG. .. Therefore, in the second embodiment, when the server device 110 performs the process related to the completion of login in S14 of FIG. 18, the server device 110 functions as a database server after that, and does not perform any particularly independent process.

Therefore, when the terminal device 130 receives the search instruction by the user operation at the stage of S8, the terminal device 130 accesses the processing target (for example, the big data 105 shown in FIG. 22) set by the user and is stored in the server device 110. The processing target is searched using the name keyword and the component name word stored in the link database 113 (see S20 in FIG. 19). After that, the terminal device 130 performs the processes of steps S21 to S27 in FIG. 19 to generate a specific result table. Then, the terminal device 130 proceeds to the stage of S31 in FIG. 19 to generate a result screen based on the generated specific result table (see the result screen 43 in FIG. 17B), and displays the generated result screen. Show on the display (see step S32 in FIG. 19). The contents of the second embodiment are basically the same as the contents of the first embodiment except for the above.

As described above, in the second embodiment, since the main processing according to the present invention is executed by the terminal device 130, the terminal device 130 corresponds to the processing device according to the present invention. As described above, in the second embodiment, since the main processing according to the present invention is performed on the individual terminal device 130 side on the user side, the processing load on the server device 110 is significantly reduced as compared with the case of the first embodiment. There is an advantage in being able to do it. Further, in the second embodiment, among the various modifications described in the first embodiment, the modifications applicable in the system configuration shown in FIG. 22 can be applied.

FIG. 23 is a schematic view showing an overall system configuration including an example of the drug name specifying system 200 according to the third embodiment (Example 3) of the present invention. Similar to the second embodiment, the Japanese Accepted Name System 200 according to the third embodiment performs each of the main processes related to the present invention such as search, determination, and identification on the terminal device 230 on the user side, and the terminal thereof. The feature is that the device 230 has a configuration in which various databases are stored. Therefore, in the third embodiment, the server device is not required.

Since the internal configuration of the terminal device 230 of the third embodiment is the same as that of the terminal device 130 of the first embodiment shown in FIG. 15, the details will be omitted as in the second embodiment. In the terminal device 230 of the third embodiment, the drug name specifying program 232 corresponding to the storage unit (corresponding to the storage unit 30 g of FIG. 15) is added to the drug name specifying program 32 stored in the terminal device 13 of the first embodiment. The contents corresponding to the processing specified by the name identification program 12 (see FIG. 3) stored in the server device 10 of the embodiment are additionally included, and therefore, the drug name identification is also included in the third embodiment. Program 232 corresponds to the computer program according to the present invention. The cloud device 204 and the big data 205 related to the cloud are the same as the cloud device 4 and the big data 5 of the first embodiment, and are not included in the configuration contents of the drug name identification system 200.

Further, the terminal device 230 of the third embodiment stores a link database 213, a word database 214, a code database 215, a component database 216, a user database 217, and a screen database 218 in its storage unit, and each of these is stored. The databases 213 to 218 are basically equivalent to the link database 13, the word database 14, the code database 15, the component database 16, the user database 17, and the screen database 18 stored in the server device 10 of the first embodiment. It has become.

As the processing procedure in the third embodiment (corresponding to the processing procedure of the method for specifying the drug name according to the third embodiment), the main processing shown in the first and second flowcharts of FIGS. 18 and 19 is performed by the terminal device 230. Therefore, as in the second embodiment, the terminal device 230 corresponds to the processing device according to the present invention. That is, in the third embodiment, the terminal device 230 also performs processing such as login related to user authentication. Specifically, at the stages S1 and S2 of the first flowchart of FIG. 18, the terminal device 230 displays the login screen ( When the login operation is accepted by displaying (see FIG. 16A), does the user ID and password (login information) entered by the login operation match the information contained in the user database 217 stored in the storage unit? It is determined whether or not (see S12).

If the login information does not match, the terminal device 230 displays the login screen again and prompts the user to input the correct login information. If the login information matches, the rest is basically the same as the second embodiment. Similarly, the processing after the S5 stage shown in FIG. 18 is performed. Then, at the stage of S8, when the terminal device 230 receives the search instruction by the user operation on the screen 42 shown in FIG. 17A, the terminal device 230 performs the processes of S20 to S27 shown in the second flowchart of FIG. Execute and generate a specific result table (see S27 in FIG. 19).

Then, the terminal device 230 proceeds to the stage of S31 in FIG. 19 to generate a result screen based on the generated specific result table (see the result screen 43 in FIG. 17B), and displays the generated result screen. Show on the display (see step S32 in FIG. 19). The contents of the third embodiment are basically the same as the contents of the first embodiment except for the above.

As described above, in the third embodiment, since the terminal device 230 on the user side is responsible for all the processes related to the present invention including the processes related to user authentication (login process, etc.), the server device can be omitted, and the system configuration can be described above. There is a merit in that it can be greatly simplified as compared with the first embodiment and the second embodiment. As the terminal device 230, as in the first embodiment, a mobile communication terminal such as a tablet or a smartphone, a computer having a communication function (notebook personal computer, desktop personal computer, etc.) or the like can be used, and the terminal device The 230 functions as a kind of computer. Further, also in the third embodiment, among the various modifications described in the first embodiment, the modifications applicable in the system configuration shown in FIG. 23 can be applied.

Since the present invention presents candidates for common names for drugs that are uniquely assigned by medical institutions, it becomes easy to guess the correct common name from the presented candidates, and accordingly, a survey on the actual usage status of the drug, etc. It can be suitably used for smooth progress of research and the like.

1 Drug name identification system 4 Cloud (cloud device)
5 Big data 10 Server device 10a MPU
12 Name identification program 13 Link database 13a Common name column 13b Name keyword column 13c Word column 13d Component name Word column 14 Word database 15 Code database 16 Component database 17 User database 18 Screen database 20 Specific result table 20a Unique name column 20b Matching column 21 Notification name column 22 Sales name column 23 Receipt computer processing system Drug name column 24 Ingredient name column 25 Code column 30 Terminal device 30a CPU
32 Drug Name Identification Program NW Network

Claims (15)

For multiple drugs, a drug that stores a common name, a name keyword corresponding to the main name part of the common name, and a decomposition word obtained by decomposing the part excluding the main name part from the common name in a semantic unit. In a drug name identification system provided with a name link database and a processing device that performs processing related to identification of a candidate for a common name for a unique name of a drug based on the drug name link database.
The processing device
For a unique name including a name keyword, a judgment means for performing a judgment process for judging whether or not the unique name includes a decomposition word, and
Identification to perform processing to identify a common name associated with the name keyword included in the unique name and the decomposition word found to be included by the determination means in the drug name link database as a candidate for the common name for the unique name. A drug name identification system characterized by providing means. It is provided with a decomposition word database in which a plurality of name keywords and a plurality of decomposition words stored in the drug link database are stored without duplication.
The processing device
It is provided with a search means for performing a process of searching for a unique name including a name keyword stored in the decomposed word database from a name group including a plurality of unique names for each of the plurality of name keywords stored in the decomposed word database. ,
The drug name identification system according to claim 1, wherein a determination process is performed by the determination means for each of the unique names searched by the search means. For a plurality of drugs, a drug component link database that stores a common name and an ingredient name word indicating a component of the drug related to the common name in association with each other, and a common name for a unique name of the drug based on the drug component link database. In a drug name identification system equipped with a processing device that performs processing related to the identification of candidates for
The processing device
A drug characterized by comprising a specific means for performing a process of specifying a common name associated with the component name word in the drug component link database as a candidate for a common name for the unique name with respect to the unique name including the component name. Name identification system. It is provided with an ingredient name word database that stores a plurality of ingredient name words stored in the drug ingredient link database without duplication.
The processing device
A process of searching for a unique name including a component name word stored in the component name word database from a name group including a plurality of unique names is performed for each of the plurality of component name words stored in the component name word database. Equipped with search means
The drug name identification system according to claim 3, wherein each of the unique names searched by the search means is processed by the specific means. It is equipped with an identification information database that stores a common name and identification information that identifies the drug with the common name in association with each other for a plurality of drugs.
The processing device
An identification information specifying means that performs a process of specifying the identification information associated with the common name of the candidate specified by the specific means based on the identification information database.
Any of claims 1 to 4, wherein the identification information specified by the identification information identification means and a means for generating a specific result in which candidates for a common name corresponding to the identification information are arranged with respect to the unique name are provided. The drug name identification system described in item 1. For multiple drugs, a drug that stores a common name, a name keyword corresponding to the main name part of the common name, and a decomposition word obtained by decomposing the part excluding the main name part from the common name in a semantic unit. In the drug name identification method in which the processing device performs processing related to identification of a candidate for a common name for a unique name of a drug based on a name link database.
The processing device
For a unique name including a name keyword, a determination step for performing a process of determining whether or not the original name includes a decomposition word, and a determination step.
Identification to perform processing to identify a common name associated with the name keyword included in the unique name and the decomposition word found to be included in the determination step in the drug name link database as a candidate for the common name for the unique name. A method of identifying a drug name, characterized by performing steps and. The processing device
Regarding the common name related to the candidate specified in the specific step, a process for specifying the degree to which the name keyword included in the unique name and the decomposition word found to be included in the determination step are associated with the drug name link database is performed. Degree of doing specific steps and
The method for specifying a drug name according to claim 6, wherein the degree specified in the specific step and the step of generating a specific result in which the candidates specified in the specific step are arranged with respect to the unique name are executed. .. The processing device
Processing is performed based on the decomposition word database in which a plurality of name keywords and a plurality of decomposition words stored in the drug link database are stored without duplication.
A search step is executed in which a process of searching for a unique name including a name keyword stored in the decomposed word database is performed for each of the plurality of name keywords stored in the decomposed word database from a name group containing a plurality of unique names. And
The method for specifying a drug name according to claim 6 or 7, wherein the process according to the determination step is executed for each of the unique names searched in the search step. The processing device
The method for identifying a drug name according to claim 8, wherein the process related to the determination step is performed using a plurality of decomposition words stored in the decomposition word database. For a plurality of drugs, the processing device is a candidate for a common name for the unique name of the drug based on the drug component link database that stores the common name and the component name word indicating the component of the drug related to the common name in association with each other. In the method of identifying the name of a drug that performs the processing related to the identification of
The processing device
Regarding the unique name including the component name word, it is characterized by executing a specific step of performing a process of specifying the common name associated with the component name word in the pharmaceutical ingredient link database as a candidate for the common name for the unique name. How to identify the name of the drug to be used. The processing device
Regarding the common name related to the candidate specified in the specific step, a decomposition word indicating information obtained by decomposing the component name word included in the unique name and the name part excluding the component name word included in the unique name in semantic units is included. Degree-specific steps to perform the process to specify the degree,
The method for specifying a drug name according to claim 10, wherein the degree specified in the specific step and the step of performing a process of arranging the candidates specified in the specific step for a specific result are arranged with respect to the unique name. .. The processing device
Processing is performed based on the ingredient name word database in which a plurality of ingredient name words stored in the drug ingredient link database are stored without duplication.
A process of searching for a unique name including a component name word stored in the component name word database from a name group including a plurality of unique names is performed for each of the plurality of component name words stored in the component name word database. Perform a search step and
The method for specifying a drug name according to claim 10 or 11, wherein the specific step is executed for each of the unique names searched in the search step. The processing device
For a plurality of drugs, processing is performed based on an identification information database in which a common name and identification information for identifying the drug with the common name are stored in association with each other.
An identification information identification step that performs a process of identifying the identification information associated with the common name of the candidate specified in the specific step based on the identification information database, and
Claims 6 to claim 6 to execute the step of performing a process of arranging the identification information specified in the identification information identification step and the candidate of a common name corresponding to the identification information for the unique name to generate a specific result. Item 12. The method for specifying a drug name according to any one of items 12. In a processing device that performs processing to identify a candidate for a common name for a unique name of a drug
A processing apparatus according to the method for specifying a drug name according to any one of claims 6 to 13. In a computer program for causing a computer to perform a process of identifying a candidate for a common name for a unique name of a drug.
A computer program characterized in that the computer is made to execute the process according to the method for specifying a drug name according to any one of claims 6 to 13 as the processing device.

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