• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.11
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• pp.2691-2696
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• 2014

SNOMED CT is a standard clinical terminology to provide a standardized way to record and manage clinical records for EMR or EHR. The structure of SNOMED CT is very complex because of huge expressive power and its internal design mechanism. Although there are some SNOMED CT browsers for browsing and searching SNOMED CT concepts, they are less effective because they do not consider such complexity of SNOMED CT. This paper depicts problems of current SNOMED CT browsers and analyze SNOMED CT dataset. Then, this paper analyze requirements of SNOMED CT browser which improves searching and selecting of appropriate clinical terms.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.2
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• pp.237-243
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• 2011

Various standard terminologies in medical field are composed individually to different structure. Therefore, information on crosswalking between the terminologies is needed to combine and use the terminologies. Lots of mapping tools have been developed and used to create the information. However, since those tools deal with specific terminologies, the information is restrictly created. To overcome this problem, some tools have been developed, which perform mapping tasks by composing various terminologies. However, the tools also have difficulty of composing automatically the terminologies because the terminologies have different structures. Therefore, in this paper, we propose a method for composing and using the terminologies in the developed mapping system with keeping the original structure of the terminologies. In the proposed method, additional terminologies could be added on the mapping system and used by making metadata involving information on location and structure of the terminologies. And the mapping system could cope flexibly with the changes of the structure or context of the terminologies. Moreover, various types of mapping information could be defined and created in the system because mapping data are constructed as triplets in ontology. Therefore, the mapping data can be transformed and distributed in different formats such as OWL, RDF, and Excel. Finally, we confirmed the usefulness of the mapping system based on the proposed method through the experiments about creating mapping data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.3
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• pp.537-542
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• 2015

SNOMED CT, which is a standard clinical terminology, imposes an ambiguity problem of terminology selections caused by its huge expressive power and structural complexity. It is very difficult to distinguish similar terms and to select an appropriate term among them within short consultation hours. This paper analyzes the ambiguity problem and proposes a novel scheme for comparative search of similar terms. The proposed scheme provides a differential view of similar terms by defining a "is-not-a" relationship based on the hierarchical structure of the concepts. The result of this work improves the utilization of SNOMED CT such that medical officers can efficiently select an appropriate term among similar terms which represents patient's status adequately.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.323-325
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• 2014

SNOMED CT is a standard clinical terminology which is to efficiently record, manage and utilize clinical records during clinical processes. However, huge expressive power of SNOMED CT makes it difficult to select appropriate terms during short consultation hours. In addition, true meaning of a written record using the terminology may be misunderstood or even distorted since one clinical meaning could be expressed in a variety of ways. This paper analyzes such known problems in a database point of view, and presents effective selection methods of similar terminologies to mitigate the problem.

• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.9
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• pp.1059-1064
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• 2015

To write a medical record using SNOMED CT standard clinical terminologies, it is necessary to find and select an appropriate terminology from the huge volume of terminologies within short time. Using previous SNOMED CT search browsers, it is very difficult to select appropriate one from search results since they provide a simple list-up of similar candidate terminologies. This paper proposes a novel search browser which supports effect searching of clinical terminology by utilizing characteristics of SNOMED CT. The proposed system provides a simplified tree-view representing hierarchical structures of search results which enables fast selection of appropriate terminology from the search results. Design and Implementation of the system proves effectiveness of the proposed approach.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.10a
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• pp.416-417
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• 2014

SNOMED CT is a standard clinical terminology to provide a standardized way for recording and managing of clinical records in EMR systems. However, because of its huge expressive power, it is very difficult to consistently record patients' status such as diagnosis and procedure. The reason is that one clinical meaning can be expressed in variety of ways using multiple terminologies and vice versa. This paper proposes a novel requirement of effective search browser for SNOMED CT terminologies by analyzing duplicated or similar terminologies.

• Journal of Digital Convergence
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• v.17 no.4
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• pp.177-185
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• 2019

This is a methodological study to develop standards for human body coordinate clinical terminology system. The Standard was developed through four stages: Stage 1 - research plan was developed through literature review and data collection. Stage 2 - preliminary standard was created. Stage 3 - the standard was revised in accordance with the consultation of experts through seminars. Stage 4 - Final version of the standard was presented after verification of the content level. 2D human body images are expressed as x, y axes, and 3D images are expressed as x, y, z axes. Concepts and definitions of coordinates were preassembled into FSN, synonyms and preferred names of SNOMED CT. The latter combination was defined through 18 relationships. The average index was 4.01 for the content validity of the developed relationship standard. This research suggests that subsequent standards should be developed for other parts of the human body such as the brain, organs, and tissues. Also, it suggests that methodological research should be continued to increase the utilization of the standard in clinical practice.

• Journal of the Korean Society for information Management
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• v.21 no.2
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• pp.89-106
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• 2004

There are lots of Web materials in the field of medicine and many search engines classify the medical materials on the Web through directories. But the organization of these directories are wanting in consistency and systematization. In order for manager of search engines to organize medical materials on the Web systematically, this paper suggests several guidelines. NLMC, a special classification system for medicine, need to be applied to develop directories of medicine in search engines. Also, items of the directories should be arranged based on the relevance of subjects among subfields of medical science. For classifying an item to several directories repeatedly, clear criteria should be established. In addition to, controlled vocabularies or glossaries for medicine such as MeSH and the English-Korean, Korean-English Medical Terminology Collection should be used for selection of the name of items in medical directories.

• Journal of Korea Multimedia Society
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• v.11 no.3
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• pp.364-372
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• 2008

It is highly useful in an actual clinical setting to apply appropriate medical terms to every area of electronic medical record (EMR) and link them effectively, as a single medical terminology system cannot cover all medical concepts. In order to use standardized terms conveniently and efficiently, it is required to categorize them depending on the purpose of individual departments or physicians and thereby develop organized subsets of extracted terms highly likely to be used. In addition, it is important to such a subset to make it possible to change or correct standardized terminology system and continue to develop and upgrade to meet renewed demands of users. In this paper, data including chief compliant, symptoms, diagnosis, operation, and history of previous treatments were collected from discharge summary of patients with Department of Neurosurgery at Busan National University Hospital for analysis. In addition, subset database was created, and for terms needed to be added, the physician directly performed mapping through connection with reference terminology server and developed subset editor for the purpose of creating new subset database. Therefore, it is expected that this can serve as a practical and effective management method to reduce problems and inefficiency caused by existing vast terminology system.

• Proceedings of the Korea Contents Association Conference
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• 2011.05a
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• pp.185-186
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• 2011

본 연구의 목적은 미국국립의학도서관(NLM)의 Unified Medical Language System(UMLS)에 한의학의 용어를 등재하는 것이다. 1차 등재 대상으로 한국한의학연구원(KIOM)에서 진행중인 한의학 용어 정제 연구 결과물 중 임(任) 독맥(督脈)과 12정경(正經)에 속하는 360개의 경혈명(經穴名)의 Concept Unique Identify(CUI)를 선정하였다. UMLS Knowledge Source Server (UMLSKS)의 메타시소러스 검색을 통해 UMLS 내 경혈(經穴)용어에 대한 terminology정보를 수집, 분석하였다. 이를 바탕으로 용어간 개념 비교를 통해 UMLS의 경혈(經穴)용어와 KIOM의 경혈(經穴)용어를 매핑하였다. 마지막으로 Rich Release Format(RRF)로 데이터를 저장하고, Unicode Transformation Format-8 (UTF-8)로 인코딩하여 NLM으로 송부하였다. NLM에서 용어 등재에 대한 적합성 여부를 판별한 후 2010AB버젼에 "TKMT2010"이라는 소스명으로 한글로 된 한의학 용어가 최초로 UMLS에 등재되었다. 향후 UMLS와 같은 국제표준의학용어와 연계를 통해 한의학 용어가 다양한 의학용어체계와 상호호완성을 확보하고 표준화, 세계화할 수 있도록 지속적인 연구가 필요하다.