KR101239140B1 - Mapping method and its system of medical standard terminologies - Google Patents

Abstract

The present invention provides a medical terminology mapping system having a plurality of terminologies, comprising: metadata generating means for generating metadata about a state of the terminology, and receiving information of a search user's selection from the terminology as metadata information of the terminology The medical standard term mapping system and the mapping system include a selection means for determining a transmission form of the system, and mapping means for performing mapping operation using the received information of the term system and generating mapping data. Generating metadata including state information, determining an extraction form of the terminology system using metadata information, extracting a code and a description by an I / O manager from the extracted terminology system, code of the terminology system The invention relates to a medical standard term mapping method comprising the step of performing a mapping operation with an explanation. All. According to the present invention, a new terminology mapping system can be easily added to and used in a system, and it can flexibly cope with modifications and structural changes of the terminology, and a medical terminology mapping system capable of modifying and distributing the generated mapping data in various forms. Is provided.

Description

Mapping method and its system of medical standard terminologies}

The present invention relates to a mapping system and method of the medical standard terminology.

We strive to develop and use medical informatization systems such as Electronic Health Records (EHRs) for the computerization of medical information and medical records. And communication standards such as HL7 have been proposed for the communication between these systems. However, the information stored, utilized, and transmitted in these systems is a term commonly used in each medical institution or organization, and its meaning may be different according to a professional field or an individual. Therefore, the necessity of standardizing medical terminology for accurate communication has emerged, and the terms such as SNOMED-CT, ICD-9-CM, CPT, ABC, NANDA, NIC, NOC, CCC, Omaha System, LOINC, etc. are selected by various organizations. It was.

However, these terminologies are not intended for direct use in actual clinical practice, but were developed for the purpose of integrating terms by defining the reference terminology or conceptual relationships between terms. Therefore, the study of the mapping of each terminology is being conducted and the result is a combination of SNOMED-CT and LOINC mapping, SNOMED-CT and CPT mapping, and nursing process in 3N (NANDA, NIC, NOC). However, such mapping information is difficult to generate and provide mapping data between standard terms that satisfies all the requirements of various medical fields. In addition, various studies are being conducted to integrate and manage terminologies and to generate mapping data between standard terms. As a result, Lexical Care Suit was developed. However, the process of transforming an existing term system into a common model requires a high degree of expertise and is very complicated. And the term system has a unique structure to express the meaning of a specific term or concept, so it is difficult to express the meaning of all of these terms or concepts in a uniform term system. In addition, in order to store and use the existing terminology in the system, a separate parser must be developed for each terminology, and if the structure of the existing terminology changes or data is updated, the parser can be modified or modified in the system. There is a hassle to modify the stored terminology.

In order to solve the above problems, an object of the present invention is to enable a batch search using only the basic name or meaning of a code necessary for generating mapping data and a concept required for generating mapping data using an existing term system in the system,

Another object of the present invention is to make the upgrade of the system relatively convenient by easily adding or modifying data.

In order to achieve the above object, the medical standard term mapping system of the present invention is a metadata generating means for generating metadata regarding the state of the term system, and receives the user's selection information from the term of the term term as metadata information of the term system. Selecting means for determining the transmission form of the system and the mapping means for performing the mapping operation using the information of the received term system, and generating mapping data, the metadata generating means is a reference code, description of the term system Creates a storage format and storage location as metadata in xml format.

The system stores DAO (Database Access Object) which is a transmission medium when the term system is stored in the form of an open database, API (Application Programming Interface) which is a transmission medium when the term is stored in the form of a private database, and stores it in the form of an open file. If present, the apparatus further includes a FAO (File Access Object), which is a transmission medium, and further includes an I / O manager connected to the transmission medium and extracting code and description of the terminology.

The mapping means includes not only mappings indicating connection information between elements of heterogeneous term systems, but also linkages indicating connection information between elements in term systems created for similar purposes, and the mapping means includes triplets in ontology. Create mapping data in the form of. The apparatus may further include a converter for converting the mapping data generated by the mapping means into the form of TXT, OWL (Web Ontology Language), RDF (Resource Description Framework), and Excel. Here, the triplet is “to form a relationship with the defined relationship attribute between two defined concepts (terms)”, and “triple-son-son” or “triple-son-son” or “triple” It can be expressed as “parental relationship” (father, son). In other words, knowledge can be expressed by linking "father" and "son" expressed in nouns with "parentality" expressed in verbs (or attributes). This is the basic way of expressing knowledge in ontology.

In addition, the present inventors medical standard term mapping method of the present invention is to generate a metadata including the state information of a plurality of terms system in the mapping system, determining the extraction form of the term system with metadata information, the extracted term system Extracting a code and a description from the I / O manager, and performing a mapping operation to the code and the description of the terminology, and determining the extraction form of the terminology using the metadata information. Is connected to the I / O manager by DAO (Database Access Object) when the storage medium is a public database, API (Application Programming Interface) when it is a private database, and FAO (File Access Object) when it is published as a file. It includes a step.

The effects of the present invention are as follows.

First, new terminology can be easily added to the system and used to cope with modifications and structural changes of the terminology.

Second, the generated mapping data can be distributed in various forms.

Third, the time required for generating mapping data is shortened.

Fourth, various metadata can be easily added and removed from the mapping system by creating metadata about the characteristics of the terminology.

1 is a diagram illustrating a data structure according to a type of medical terminology system.
2 is a block diagram illustrating a structure of a mapping system for using a distributed term system.
FIG. 3 is a diagram of an XML schema for composing metadata in XML form using information.
4 is a flowchart of a medical standard term mapping method according to an embodiment of the present invention.
5A is a user screen for generating mapping data according to an embodiment of the present invention.
5B is a screen showing a mapping data related to a concept of a specific term system as a two-dimensional graph.
6 is metadata implemented in XML according to a storage format of a term system.

The embodiments may be embodied in many different forms and should not be construed as limited to the aspects set forth herein. Rather, the above aspects make the embodiments more thorough and complete, and fully convey the scope of the embodiments to those skilled in the art.

Hereinafter, the present invention will be described in detail with reference to the accompanying drawings.

1 is a diagram illustrating a data structure according to a type of medical terminology system.

As shown in FIG. 1, in the case of SNOMED-CT (here, SNOMED-CT can be understood as a glossary of standard medical terms), concepts, codes, and attributes for representing the relationships between concepts are all 'Concepts'. Representations defined in the table and similar to each concept are defined in the 'Descriptions' table. And the relationships between the concepts are represented in the 'Relationships' table. In the case of NANDA (where NANDA can be understood as a guideline defining diagnostic items in the field of nursing), the details and codes of the diagnosis are expressed in the 'Diagnosis' table and their domains and classes ) Are defined in the 'Domain' and 'Class' tables respectively. ICD (here ICD is a system categorized for disease. Currently commonly used ICD-9 and ICD-10) is represented as a simple table, defined as 'Diagnosis' and 'description'.

In order to generate mapping data in a data structure having various forms as described above, the names of codes and terminology are required.

Terminology table code Concept and term definitions SNOMED-CT Concept 170312000 Second cholera vaccination CPT - 90725 Cholera vaccine for injectable use ICD9
-CM Diagnosis E871.3 Foreign object left in body during injection or vaccination Procedure 991.7 Injection of insulin ABC - NAASV Insulin injection assessment, Common nursing interventions, Nursing CCC Diagnosis 60.2 labor risk Intervention 23.1 insulin injection Omaha
System Problem 06 Communication with community resources Scheme (34) coordination among providers NANDA Diagnosis 00076 Readiness for enhanced community coping NIC Intervention 8500 community health development NOC Outcome 2800 community health status: immunity

Table 1 is an example of a code and definition statement for each term system, and is a result of searching based on a code, a representative name, or a description of a concept. The mapping of the terminology should be carried out by subjective judgment of the expert. However, due to the ambiguity of the definition of the glossary itself, it may not be possible to make judgments by simple names or explanations of the concept, or the complex term structure may require additional information. In such cases, the information provided in the terminology should be used to the fullest.

2 is a block diagram illustrating a structure of a mapping system for using a distributed term system.

As shown in FIG. 2, the present invention provides a medical terminology mapping system having a plurality of terminology, comprising: metadata generating means 100 for generating metadata regarding the state of the terminology, and feedback of selection information of a search user. Selecting means 200 for determining the transmission form of the terminology using the metadata information of the terminology and the mapping means 300 to perform a mapping operation using the received terminology information, and generates the mapping data do.

The metadata generating means 100 generates the reference code, description, storage form, and storage location of the term system as metadata in xml form. This makes it possible to search and map the terminology by simply adding and modifying metadata in the system.

That is, the metadata generating means 100 prepares metadata according to the characteristics of each term system in order to connect the various types of term systems that are distributed and stored to the mapping system. In this case, the terminology can be used by simply adding or modifying metadata without having to create a separate module for each terminology.

Element name Justice TerminologyCode Terminology Recognition Code TerminologyName Glossary Name TerminologyType Glossary Type (DB, File, API) TerminologyLocation Glossary Location (DB, File, API Access IP) Type DB / File / API Type Name DB / File / API Name ID DB / API Connection ID Password DB / API connection password CodeFieldName Code Field Names in DB / File DescFieldName Comment field name in DB / File ApiIoModule API I / O Conversion Module ViewerType Glossary Details Viewer Type ViewerLocation Glossary Details Viewer Location ... ...

Table 2 above relates to metadata components necessary for linking the terminology.

3 is a diagram of an XML schema for composing metadata in XML form using information. The XML schema for metadata generation shown in FIG. 3 defines a structural analysis and each structural element to represent the schema in the document as an abstract representation of the interrelationships between the attributes and elements of the XML object. It is somewhat more advantageous than languages like document type definition (DTD) or Simple Object XML (SOX), and because it is in XML, it can be handled directly without any intermediary by the parser, self-recording, automatic schema generation, XSL Benefits include the ability to define through transformation (XSLT).

The selection means 200 receives feedback of the selection information of the search user to determine a transmission form of the term system using metadata information of the term system. The mapping system for utilizing the terminology of the distributed environment stored in various forms as shown in FIG. It may be stored in an existing database, and external database access may be possible through the API. Accordingly, the mapping system expresses information about the state of each term system as metadata and determines in what form the term system is to be extracted using only the information of the metadata in the selection means 200.

When the term system is stored in the form of an open database, a database access object (DAO) 410, which is a transmission medium; If it is stored in the form is connected to the transmission medium FAO (File Access Object) (430).

The I / O manager 500 is connected to the delivery medium and extracts a code and description of the term system to transmit to the mapping means.

The mapping means 300 performs a mapping operation using the received term system information and generates mapping data.

The minimum information necessary for mapping in the mapping system is a code to generate the mapping data and a description to recognize the concept of the code. The concept of code can be modified in some way as long as the meaning does not change, but the code is representative of the concept and cannot be modified. In some cases, the concept may be deleted as an unused concept or a new concept may be created. When representing the link information, the mapping information may be classified into a mapping indicating link information between elements of heterogeneous term systems and a linkage indicating link information between elements in term systems created for similar purposes. A representative example of mapping is the connection of the same concepts in SNOMED-CT and ICD9-CM, and a representative example of the combination is the nursing process between 3Ns (NANDA, NOC, NIC), where 3N is the “diagnosis” of patients (NANDA). And a set of instructions that outline the “NIC” process for achieving “NOC”) and procedures. The nursing process represents a nursing process as a combination of codes in NANDA including nursing diagnosis, NOC containing nursing results, and NIC containing nursing interventions. However, both of these concepts are referred to here as mappings, and the result of mapping is called mapping data.

Table 3 shows an example of mapping data of the mapping and combining.

The brackets in Table 3 indicate the explanation of each code.

The mapping means may generate mapping data in the form of triplets in the ontology.

Domain
terminology code relationship type Range
terminology code snomed: 13313007 equalTo icd9: 296.7 snomed: 13322008 equalTo icd9: 339.89 ... ... ... nanda: 00092 linkedTo nic: 4310 nic: 4310 linkedTo noc: 0005 nanda: 00011 linkedTo nic: 0501 nic: 0501 linkedTo noc: 0430 ... ... ...

Table 4 shows an example of a triplet representation of mapping data. Snomed, icd9, nic, nanda, noc in front of each code is a term system identification code given arbitrarily to distinguish the term system. This identification code can be replaced with an OID code.

The triplet representation of the mapping data, as shown in Table 4, may be different for each user when the various terminologies are handled in one system, so simply listing the codes of the two terminologies may blur the meaning of the mapping data. Due to this problem, it is represented by the mapping data of triplet type as shown in Table 4 above.

For example, if these two concepts have the same meaning, the mapping data is expressed as (A-equalTo-a) using a 'relationship type' of 'equalTo'. Therefore, when multiple workers perform mapping work in the same field at the same time, it can be seen that only 'relationship type' is mapping data belonging to the same group.

The system converts the mapping data generated by the mapping means into Txt. OWL (Web Ontology Language), RDF (Resource Description Framework), Excel can be transformed into a variety of forms, including a converter 600 for transforming in the form of.

4 is a flowchart of a medical standard term mapping method according to an embodiment of the present invention.

As shown in FIG. 4, in the medical standard term mapping method having a plurality of terminologies of the present invention, generating metadata including state information of a plurality of terminologies in a mapping system (S100), and terminology as metadata information. Determining the extraction form of the step (S200), the step of extracting the code and description by the I / O manager from the extracted terminology (S400), performing the mapping operation to the code and description of the terminology (S500) It includes. In addition, the step of determining the extraction form of the terminology based on the metadata information is a database access object (DAO) (S310) when the storage medium of the terminology is a public database, API (Application Programming Interface) when the private database In operation S320, when the file is published in the form of a file, the method may include connecting to the I / O manager through a file access object (FAO) S330.

FIG. 5A is a user screen for generating mapping data according to an embodiment of the present invention, and FIG. 5B is a screen showing two-dimensional graphs of mapping data related to a concept of a specific term system.

6 is metadata implemented in XML according to a storage format of a term system.

In order to confirm the effectiveness of the developed mapping system, (1) mapping of 'equalTo' attribute between SNOMED-CT and ICD9 and (2) generation of combined information about nursing process in 3N were performed. In these two situations, we compared the mapping work using the mapping system with the mapping system using the mapping system. For the experiment of (1), only 50 descriptions were omitted from the mapping data between SNOMED-CT and ICD9, and three keywords were extracted from the description. In the experiment of (2), 50 NANDA-NOC-NIC binding information was used. Also, the search is performed only by the explanation without the code of each term system. Table 5 and Table 6 show the time taken to generate mapping data of (1) and (2) for each of 10 mappings and combinations over a total of five times.

In experiment (1), three consecutive words in phrase form were used to perform a search from a file. Therefore, there is a limit to the selection of search terms, so it takes a lot of time to visually check the matches, while the mapping system can select and search only the key words that are important, and also hassle to search separately for each term system. It was possible to search at once without. You can also see a list of searches at a glance to quickly find matching concepts. Therefore, as shown in Table 5, it can be seen that the mapping time is greatly reduced when using the mapping system.

Experimental order Required time (seconds) File-based Mapping system based Primary 915 446 Secondary 532 359 Third 570 368 4th 596 401 5th 449 330

In the experiment (2), the concept of the term system is not large and the length of the concept name is not long so that the search in the file is relatively easy. However, while copying and pasting code from a file took a lot of time, the mapping system allowed multiple mappings at once without worrying about the code. Therefore, when the mapping system is used, some time can be shortened as shown in Table 6 due to the convenience of the mapping process.

Experimental order Required time (seconds) File-based Mapping system based Primary 308 295 Secondary 134 202 Third 298 262 4th 342 320 5th 246 215

The scope of the present invention is not limited to the above-described embodiments but may be implemented in various forms of embodiments within the scope of the appended claims. Without departing from the gist of the invention claimed in the claims, it is intended that any person skilled in the art to which the present invention pertains falls within the scope of the claims described herein to various extents that can be modified.

100 metadata generation means
200 means of selection
300 mapping means
410 DAO
420 API
430 FAO
500 I / O Manager
600 converter

Claims (8)

A medical terminology mapping system having a plurality of terms,
Metadata generating means for generating metadata relating to a state of the term system;
Selection means for receiving the selection information of the search user and determining a transmission form of the term system using metadata information of the term system; and
Medical terminology mapping system comprising a mapping means for performing a mapping operation using the information of the term system received, and generating mapping data. The method of claim 1,
The metadata generating means is a standard medical terminology mapping system, characterized in that for generating the reference code, description, storage form, storage location of the term system as metadata in the form of xml. The method of claim 1,
The system may include a DAO (Database Access Object) which is a transmission medium when the term system is stored in the form of an open database;
An API (Application Programming Interface), which is a transmission medium when stored in a private database;
When stored in the form of an open file, the transmission medium further includes FAO (File Access Object),
And an I / O manager connected to the delivery medium and extracting a code and description of the term system. The method of claim 1,
The mapping means includes a linkage representing linkage information between elements in terminologies created for a similar purpose as well as mapping indicating linkage information between elements of a heterogeneous terminology system. The method of claim 1,
The mapping means medical standard term mapping system, characterized in that for generating mapping data in the form of triplets in the ontology. The method of claim 1,
The system converts the mapping data generated by the mapping means into Txt. Medical standard term mapping system further comprises a converter that transforms OWL (Web Ontology Language), RDF (Resource Description Framework), Excel. Medical terminology mapping method with multiple terms system,
Generating metadata in the mapping system, the metadata including state information of a plurality of term systems;
Determining an extraction form of a term system using metadata information;
Extracting, by the I / O manager, code and description from the extracted term system;
Medical standard term mapping method comprising the step of performing a mapping operation to the code and description of the term system. The method of claim 7, wherein
Determining the extraction form of the terminology system using the metadata information may include a database access object (DAO) when the storage medium of the terminology system is a public database, an API (Application Programming Interface) when the database is a private database, and file format. The medical standard term mapping method comprising the step of connecting with the I / O manager through a file access object (FAO).

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