JP7221665B2 - data management system - Google Patents

Description

The present invention relates to a data management system that stores input data in an analyzable manner.

2. Description of the Related Art Conventionally, exchanges between service providers and service recipients have been managed in various types of businesses, for example, individual medical records in medical institutions, customer transaction histories in financial institutions, and judicial precedents in legal institutions. Such management materials are managed so that they can be referred to later, and are used for reference and comparison of histories on an individual basis or on a case basis, and are useful for subsequent examinations, transactions, trials, and the like. In recent years, these management materials are input by a computer or the like, converted into electronic data, and stored in a storage medium such as a server.

In recent years, as the processing power of computers has improved, it is possible to comprehensively analyze a large amount of input data. The so-called data analysis obtained is attracting attention. For example, in Patent Document 1, input data is stored in a storage medium in a state in which tags are added to texts delimited according to a predetermined rule. is exhaustively analyzed, and information related to multiple selected tags can be extracted.

Japanese Patent Application Laid-Open No. 2003-196471 (page 3, FIG. 1)

As in Patent Document 1, the input data that is analyzed later and managed to obtain useful knowledge is transaction information that is mainly used by a plurality of persons in charge in daily work, so it is difficult to correct or supplement the data. Content may be edited for However, if the data is overwritten after the content has been edited, the internal information may differ from the content at the time the input data was created, and may not be accurately used for data analysis. On the other hand, it is conceivable to restrict editing of input data, but using a security function that sets restrictions on editing may make it difficult to refer to data during data analysis. In addition, the environment using computers for registering and mining data was built by people with specialized knowledge.

The present invention has been made with a focus on such problems. The purpose is to provide a management method.

In order to solve the above problems, the data management system of the present invention includes:
A service server that provides a data management system has an API,
The service server is configured to receive input data from a client-side terminal using the API,
attachment means for extracting text from the received input data based on a predetermined search condition and attaching a tag to each extracted text based on a predetermined attachment condition;
storage instruction means for storing the input data to which the tag is attached in a plurality of storage means ;
Output means for outputting the input data stored in the plurality of storage means together with the tag given by the giving means to the client-side terminal on a user-by-user basis through reference communication of the input data received from the client-side terminal. and,
with
The adding means adds a tag converted into a function according to a predetermined conversion rule to the input data,
The output means is characterized in that the tag converted according to the predetermined conversion rule can be restored and output.
According to this feature, the service server extracts text based on predetermined search conditions and attaches tags based on predetermined addition conditions to input data received from a client-side terminal using an API. , appropriate classification tags can be set and assigned even to texts that cannot be appropriately classified under existing tag assignment conditions such as relational databases. Therefore, by using this data management system, it is possible to accurately refer to the necessary text when analyzing the input data. Further, the tagged input data is stored in a plurality of storage means by the storage instruction means of the service server, and when the input data is analyzed, etc., it is output so that it can be referenced by each user. The API makes it possible to realize an environment in which even a user who does not have knowledge of such a system can easily use the system with excellent fault tolerance.

The service server is characterized in that the input data to which the tag is attached by the storage instruction means is stored on a block chain.
According to this feature, since the tagged input data is stored on the blockchain, it is impossible to edit the tagged input data, resulting in an excellent security function. In addition, the contents of the input data at the time of creation can be used for analysis, and knowledge useful for business activities can be obtained accurately. In addition, users without knowledge of blockchain can easily use such a data management system.

The service server comprises a correspondence table in which the tags and item information meant by the tags are linked,
The output means is characterized in that it can output the item information that the tag means by using the correspondence table.
According to this feature, unless the correspondence table provided in the service server is used, the meaning of the tag attached to the input data stored in the storage means can be made invisible at a glance, and knowledge that can be analyzed can be obtained. Leakage can be prevented.

The predetermined conversion rule is characterized in that it can be set for each input data.
According to this feature, the user who has input the input data can individually set a predetermined conversion rule, so that it is possible to prevent leakage of knowledge that can be analyzed.

The adding means is characterized in that it is possible to add a tag common to each piece of input data to one text of the input data.
According to this feature, it is possible to use one text common to a plurality of different input data for analysis.

The adding means restores the tagged input data output by the output means, extracts text based on a predetermined search condition, and extracts each extracted text based on a predetermined adding condition. can be re-tagged,
The storage instruction means stores the re-tagged input data at the end of the current block in the block chain.
According to this feature, tags can be added again without editing and discarding previously stored input data, and accurate analysis can be performed.

The condition for attaching the tag can be changed,
The storage instruction means is capable of instructing the plurality of storage means to store the data indicating the correspondence relationship between the tag assignment conditions before the change and the tag assignment conditions after the change.
According to this feature, even if the tags attached to the same attributes of the delimited texts are different depending on the period or the person in charge, the same attributes can be used for analysis.

1 is a conceptual diagram showing a data management system and a data management method in an embodiment of the invention; FIG. FIG. 4 is a diagram showing an initial screen provided by an API server and displayed on a personal computer; It is a figure which similarly shows a user page. It is a figure which similarly shows a data input page. It is a figure which shows the medical record before conversion. FIG. 10 is a diagram showing an XML-format file to which tags have been added; FIG. 10 is a diagram showing an XML-format file in which tags are functionalized; FIG. 10 is a diagram showing an example of an importance assignment screen at the time of output;

Embodiments for implementing a data management system and a data management method according to the present invention will be described below based on embodiments.

A data management system according to an embodiment will be described with reference to FIGS. 1 to 8. FIG.

Data management systems are used in a variety of business fields for the exchange between service providers and service recipients, such as personal medical records (medical records) at medical institutions, customer transaction histories at financial institutions, and judicial precedents at legal institutions. It is a system that converts data into electronic data and manages it on a server so that it can be referred to later. In this embodiment, an example of managing charts in a medical institution on a hospital-by-hospital basis will be described.

FIG. 1 shows an overall system diagram for realizing an embodiment of the data management system of the present invention. A personal computer (hereinafter abbreviated as “personal computer”) 2 is provided, and these are connected via the Internet so as to be able to communicate with each other. A scanner 3, a keyboard 4, a mouse 5 and the like are connected to the personal computer 2 as input means. In addition, a pen tablet, a stylus pen, etc. can be used as input means.

Each of the personal computers 2 is provided with an electronic processing section in addition to a recording means such as a hard disk (not shown), a RAM, and the like. In the management document of the paper medium imaged by the scanner 3, the character information described in the digitization processing unit is subjected to character recognition and converted into text data.

The service server 1 includes a plurality of computers (recording means) 6, an API (Application Program Interface) server (recording means) 7, a user management server (recording means) 8, and a processing server 9 ( A recording means) is connected via a network, receives input data, which is text data of management documents, from the personal computer 2 on the client side, and manages the input data.

In the data management system of this embodiment, input data is stored using blockchain technology. A plurality of computers 6 that constitute the service server 1 are a plurality of nodes that generate blocks of the blockchain.

The API server 7 is a server operated by a management company that provides a data management system, and converts data necessary for storing input data received from the personal computer 2 on the client side on the block chain and performs tagging, which will be described in detail later. It is a server on the Internet that provides an API that allows clients who do not have knowledge of blockchain to easily use the grant of . The API implemented and operated in the API server 7 operates on the web browser activated by the personal computer 2 on the client side.

A user who uses the data management system registers a unique user ID and a password in advance on the homepage published by the management company of the data management system. The user management server 8 has a correspondence table that holds the correspondence between the user ID and password entered on the homepage and the link information to the block chain assigned to the user with the user ID.

When a user inputs input data to the data management system, first, he/she accesses the home page published by the management company using a web browser started on the personal computer 2 . As shown in FIG. 2, a user ID input field 11, a password input field 12, and a login button 13 are displayed on the initial screen 10 of the home page. is prompted for.

The user enters the user ID input field 11 and password input field 12 and selects the login button 13 . When the login button 13 is selected, the input user ID and password are sent to the user management server 8 (see FIG. 1), and the combination of the input user ID and password is checked by referring to the correspondence table. Based on the determination, the user page 14 shown in FIG. 3 is displayed.

A data input button 15 and a data reference button 16 are selectably displayed on the user page 14 . The user selects the data input button 15 when newly uploading the electronic data of the medical record, and selects the data reference button 16 when referencing the electronic data of the already managed medical record.

When the data entry button 15 is selected, the data entry page 17 shown in FIG. 4 is displayed. A file selection button 18 and an upload button 19 are displayed on the data input page 17 . When the user selects the file selection button 18, a window is displayed in which the electronic data of the medical record stored in the storage medium of the personal computer 2 on the client side can be selected. Data is sent to the processing server 9 via the API of the API server 7 (see FIG. 1).

The processing server 9 first determines whether or not the electronic data of the medical care record is full-text searchable text data based on the file format or the like. If the data is text data, the process proceeds to the step (attachment means) of attaching the next tag, and if it is not text data, an error is returned to the personal computer 2 on the client side. In other words, the user prepares full-text searchable text data at the time of uploading.

In the tagging step, the full text of the text data is first searched by the search function of the API. In the tagging step, character data such as nouns (for example, an item name such as medical history) is found from the text data under predetermined conditions, and converted into a tagged XML file.

In the converted XML format file, each tag is functionized with a predetermined variable. FIG. 5 shows the electronic data of the medical record before being converted into an XML format file, and FIG. The words are reconstructed so that they can be distinguished.

For example, from the electronic data of the medical record in FIG. 5, the character data of the word "previous history" indicating the item, and the character data of "influenza" and "appendicitis", which are words near the word "previous history". If found, "influenza" and "appendicitis" are judged to correspond to the "pre-existing history." Then, in the XML format file of FIG. 6, character data of "influenza" and "appendicitis" are placed between <medical history> and </medical history>, respectively.

In this way, recognizing words such as "anamnesis", "influenza", "appendicitis" and corresponding to "anamnesis" by "influenza" and "appendicitis" can be performed in advance as conditions for attaching a predetermined tag. It is set in the processing server 9 by the management company and the user.

In addition, the API in the present embodiment determines that the character data "influenza" is a disease of the "respiratory system" and the character data "appendicitis" is a disease of the "circulatory system" as the tagging conditions. It also has grant conditions that allow it. Then, in the XML format file, add <respiratory> and </respiratory> tags to enclose "influenza", and <cardiology> and </respiratory> tags to enclose "appendicitis", respectively. Deploy. In other words, the character data "influenza" is given the lower subtags <respiratory></respiratory> and the higher main tag <previous history></previous history>. These multiple tags can be divided into hierarchies and determined. A plurality of tags may be attached to one character data. For example, two tags of "respiratory system" and "virus" may be attached to the character string "influenza".

When the tagging step is completed, the processing server 9 proceeds to a step (storage instruction means) of storing the XML-format file to which the tagging has been completed. At this time, each tag is functionalized with a predetermined variable by a predetermined processing server 9 that provides a data management system. In the storage step, the XML format file to which tags have been added is converted into a hash value in accordance with the block chain format by one of the computers 6 constituting the service server 1, and is referred to in the above-mentioned correspondence table. On a blockchain that operates in the environment of a computer 6 functioning as a plurality of nodes that make up the service server 1 by identifying the corresponding blockchain from among multiple blockchains using the link to the blockchain corresponding to the user ID be stored in

In addition, since each tag is functionized with a predetermined variable by a predetermined processing server 9 that provides a data management system, in a state where the input data is restored from the hash value of the block chain, as shown in FIG. The words are visually indistinguishable.

The processing server 9 has a function (output means) to refer to multiple pieces of input data stored on the blockchain using an API. The user uses a web browser activated on the personal computer 2 to access the homepage published by the management company and log in.

The user selects the data reference button 16 on the user page 14 displayed on the personal computer 2 on the client side after login. The processing server 9 starts a step of referring to the input data based on the selection of the data reference button 16 in the API. Specifically, refer to the user ID received at the time of login in the corresponding table, use the link to the corresponding block chain to extract the input data stored on the block chain, and then extract the hash value from the XML format file , and the tag is restored from the function, and the XML format file and the tag are made referable from the personal computer 2 on the client side.

In this way, by using texts extracted according to predetermined search conditions and tags attached to the texts, it is possible to use the texts for data analysis in order to obtain useful knowledge for business activities. For example, in the medical field, by analyzing the input data of the medical records of all patients in one hospital, which is the user, disease trends and effective treatment methods can be obtained from the input data of the medical records of patients with similar medical histories. There is a possibility that knowledge useful for the research of

FIG. 8 is an example of an output screen at the time of data analysis, and here shows a screen when retrieving court precedents. The service server 1 causes the personal computer 2 on the client side to display a selection screen on which a tag (not shown) can be selected, prompting the user to select a plurality of tags. Display an importance assignment screen (see FIG. 8) that allows weighting at the time of retrieval.

The importance level assignment screen displays an importance level gauge 30 in which a plurality of color-coded lines 31 continuously extend. All the selected tags correspond to the plurality of lines 31 of the importance gauge 30, and the slider 32 displayed on the boundary between the adjacent lines 31 is moved left and right by operating the mouse 5 or the like. , the length of adjacent lines 31 can be adjusted. The processing server 9 can use the length of the line 31 as an index of importance for retrieval. In addition, above each line 31, the length of each line 31 is converted into a numerical value and displayed. The sum of these numerical values is 100, and the user can visually grasp and adjust the importance of the tag selected on the importance assignment screen using the length of the line and the numerical value. Note that the importance level cage 30 does not have to be linear, but may have a shape such as an annular shape that can be easily recognized visually.

Further, the conditions for tagging the text data by the processing server 9 are appropriately set by the management company or the user, and can be changed as appropriate. Note that the storage instruction means can issue an instruction to store data indicating the correspondence relationship between the tag assignment condition before change and the tag assignment condition after change on the blockchain. According to this, even if the tags attached to similar attributes of the delimited text are different depending on the period or the person in charge, for example, the staff of one hospital, the same attributes are used for analysis. be able to.

As described above, the service server 1 uses the processing server 9 to extract text based on predetermined search conditions and add tags based on predetermined conditions to the input data received from the personal computer 2 on the client side. Since the tags are assigned, appropriate classification tags can be set and assigned to texts that cannot be appropriately classified under existing tag assignment conditions such as conventional relational databases. Therefore, by using this data management system, it is possible to accurately refer to the necessary text when analyzing the input data. In addition, the tagged input data is stored in a plurality of computers 6 by the storage instruction means of the processing server 9, and when the input data is analyzed, correspondence with the block chain link information assigned to the user ID By using a correspondence table that holds relationships, it is possible to output information so that it can be referred to on a user-by-user basis. In addition, the processing server 9 can be caused to execute the above processing by operating the API by the user, and an environment in which a fault-tolerant system using a plurality of computers 6 can be easily used can be realized by the API.

In addition, the processing server 9 stores the tagged input data on the blockchain. According to this, it is impossible to edit the input data to which the tag is attached, and the contents are not tampered with, so that the security function is excellent. In addition, since the contents of the input data at the time of creation and the time stamp at the time of storage are retained, regardless of malicious falsification, the contents at the time of creation of the input data can be used for analysis, and knowledge useful for business activities can be accurately obtained. can get to In addition, even users who do not have knowledge of blockchain using the API and the function of the processing server 9 described above have excellent fault tolerance and security functions, and a system that can be referenced by setting and assigning tags of appropriate classification. can be utilized.

In the processing server 9, when input data is input, the tag is converted into a function using a predetermined variable, and when the input data is output, the same predetermined variable is used to restore the tag from the function. 9, the meaning of the tag can be clarified and the item information can be output, so that knowledge that can be analyzed can be prevented from leaking.

In addition, since the tag adding means can add a common tag to each piece of input data for one text in the input data, one text common to a plurality of different input data is used. can be used for analysis.

In addition, the tagging means can restore the tagged input data output by the output means and add the tag again, and the storage means stores the re-tagged input data in the blockchain. It can be stored in a row at the end of the current block. According to this, tags can be added again without editing and discarding previously stored input data, and accurate analysis can be performed.

Although the embodiments of the present invention have been described above with reference to the drawings, the specific configuration is not limited to these embodiments, and any changes or additions within the scope of the present invention are included in the present invention. be

For example, in the above-described embodiment, the processing server 9 stores the input data tagged by the storage instruction means on the block chain. The input data may be stored in a so-called distributed database in which data is stored in a distributed database.

Also, although the block chain in the above embodiment is explained as a so-called private chain that operates in an environment on a plurality of computers 6 that constitute the service server 1 provided by a management company, it may be a public chain specification.

Also, as a specification for converting a tag into something whose meaning cannot be understood at first glance, the above-described embodiment has been described as an example in which a predetermined variable is converted into a function. may be In addition, without using any specific rules, the API may perform conversion by providing a correspondence table in which tags and item information meant by tags are linked. Restore the tag using the correspondence table. According to this, unless a predetermined correspondence table is used, the meaning of the tag attached to the input data stored in the distributed server can be made invisible at a glance, preventing leakage of knowledge that can be analyzed. be able to.

Also, the predetermined variable that functions the tag may be set for each input data or for each user. According to this, since predetermined conversion rules can be individually set for users, it is possible to prevent leakage of knowledge that can be analyzed.

Also, not only the tags but also the text may be functionized with variables and then converted to hash values, or only the text may be functionized and the tags may not be functionized. Neither these tags nor the text need be functionalized unless there is an intention to prevent leakage.

Also, the API server 7 provided with the API that constitutes the service server 1 provided by the management company, the user management server 8 provided with the correspondence table, and the processing server 9 are composed of a single computer having the respective functions. may

Also, the client-side terminal used by the user is not limited to a personal computer, and may be a tablet or a smartphone.

Input data such as a medical record is not limited to specifications for uploading. The API may provide a chart entry screen, and text data may be directly input on the web browser of the personal computer 2 on the client side.

Further, in the above-described embodiment, a file scanned by the scanner 3, which cannot be fully text-searched as it is, is converted into text data by the personal computer 2. However, it is not limited to this. A recognition function and a text conversion function may be provided, and specifications may be such that a tagged XML file can be created from a file scanned by the scanner 3 on the processing server 9 .

Further, a part of the tag attached to the XML format file may be common to conventional RDM tag information. According to this, it is possible to perform analysis using both the input data stored in the service server 1 and the input data such as medical records stored in the conventional RDB format in a storage medium other than the service server 1. can.

1 service server 2 personal computer 3 scanner 4 keyboard 5 mouse 6 computer (storage means)
7 API server (storage means)
8 User management server (storage means)
9 processing server (storage means)
10 Initial screen 14 User page 15 Data input button 16 Data reference button 17 Data input page 18 File selection button 19 Upload button

Claims (7)

A service server that provides a data management system has an API,
The service server is configured to receive input data from a client-side terminal using the API,
attachment means for extracting text from the received input data based on a predetermined search condition and attaching a tag to each extracted text based on a predetermined attachment condition;
storage instruction means for storing the input data to which the tag is attached in a plurality of storage means ;
Output means for outputting the input data stored in the plurality of storage means together with the tag given by the giving means to the client-side terminal on a user-by-user basis through reference communication of the input data received from the client-side terminal. and,
with
The adding means adds a tag converted into a function according to a predetermined conversion rule to the input data,
The data management system, wherein the output means can restore and output the tag converted according to the predetermined conversion rule. 2. The data management system according to claim 1, wherein the service server stores the input data to which the tag is attached in the storage instruction means on a block chain. The service server comprises a correspondence table in which the tags and item information meant by the tags are linked,
3. A data management system according to claim 1, wherein said output means is capable of outputting item information meant by said tags using said correspondence table. 4. The data management system according to claim 1, wherein said predetermined conversion rule can be set for each of said input data. 5. The data management system according to any one of claims 1 to 4, wherein said adding means can add a tag common to each piece of input data to one text of said input data. The adding means restores the tagged input data output by the output means, extracts text based on a predetermined search condition, and extracts each extracted text based on a predetermined adding condition. can be re-tagged,
3. The data management system according to claim 2, wherein said storage instruction means stores said re-tagged input data at the end of the current block in said block chain. The condition for attaching the tag can be changed,
7. The storage instruction means according to any one of claims 1 to 6, wherein said storage instruction means can instruct said plurality of storage means to store data indicating a correspondence relationship between a tag assignment condition before change and a tag assignment condition after change. data management system according to

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