• Journal of Korean Biological Nursing Science
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• v.16 no.4
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• pp.276-283
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• 2014

Purpose: The purpose of this study was to identify levels of knowledge, need, and usage of medical terminology in clinical nurses. Methods: Participants for this study consisted of 127 clinical nurses who work at one general hospital located in Seoul in Korea. The data was collected from April 1st to the 22nd in 2014. Participants responded to self-administered questionnaires about their knowledge, need, and usage of English medical terminology, Chinese character medical terminology, and Korean medical terminology. The data was analyzed using an independent t-test, one-way ANOVA, Duncan's test as post hoc and Pearson's correlation. Results: The mean scores of knowledge and needs with English medical terminology were high. English medical terminology and Chinese character medical terminology were more useful tools for disease than Korean medical terminology. Knowledge of medical terminology was positively correlated between needs and correct use with the clinical nursing situation. Conclusion: Based on these results, it can be concluded that medical terminology education for bio-nursing curriculum is important for clinical nurses and standardization of essential medical terminology is needed.

• Journal of the Semiconductor & Display Technology
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• v.13 no.1
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• pp.97-99
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• 2014

Since 2010, issues for data sharing and data exchanging in hospital information systems have been emerged. In order to solve the issues, standards should be applied to develop the systems and there should be no ambiguities between terminologies in the systems. In this paper, the terminology mapping system for narrative clinical records was implemented. The term mapping precision was 83.4%. This system could help to upgrade the text based clinical system and it would be expected to support for high quality clinical services.

• 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 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.

• Korean Journal of Clinical Pharmacy
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• v.17 no.1
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• pp.46-51
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• 2007

This study was aimed to provide the controlled terminology for adverse drug reactions by selecting an appropriate internationally standardized classifications (WHO-ART or MedDRA). We collected the relevant information on ADR terminology systems including WHO-ART and MedDRA by online searching and visiting pharmaceutical companies and WHO UMC (Uppsala Monitoring Centre, Uppsala, Sweden). For MedDRA, project leader directly communicated with the officer of MSSO (Maintenance and Support Services Organization). Collecting all the pertinent information, two possible terminology classifications or systems (WHO-ART and MedDRA) were compared in the views of acceptability, cost-effectiveness and international feasibility and reviewed by the consultation committee and finally WHO-ART was selected.

• Journal of information and communication convergence engineering
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• v.17 no.2
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• pp.91-96
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• 2019

In this study, a system to increase the expressiveness of existing standard terminology using three-dimensional (3D) data is designed. We analyze the existing medical terminology system by searching the reference literature and perform an expert group focus survey. A human body image is generated using a 3D modeling tool. Then, the anatomical position of the human body is mapped to the 3D coordinates' identification (ID) and metadata. We define the term to represent the 3D human body position in a total of 12 categories, including semantic terminology entity and semantic disorder. The Blender and 3ds Max programs are used to create the 3D model from medical imaging data. The generated 3D human body model is expressed by the ID of the coordinate type (x, y, and z axes) based on the anatomical position and mapped to the semantic entity including the meaning. We propose a system of standard terminology enabling integration and utilization of the 3D human body model, coordinates (ID), and metadata. In the future, through cooperation with the Electronic Health Record system, we will contribute to clinical research to generate higher-quality big data.

• 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.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.60 no.1
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• pp.167-173
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• 2011

Most of the terminologies used in medical domain is not intended to be applied directly in clinical setting but is developed to integrate the terms by defining the reference terminology or concept relations between the terms. Therefore, it is needed to develop the subsets of the terminology which classify categories properly for the purpose of use and extract and organize terms with high utility based on the classified categories in order to utilize the clinical terms conveniently as well as efficiently. Moreover, it is also necessary to develop and upgrade the terminology constantly to meet user's new demand by changing or correcting the system. This study has developed a mapping tool that allows accurate expression and interpretation of clinical terms used for medical records in electronic medical records system and can furthermore secure semantic interoperability among the terms used in the medical information model and generate common terms as well. The system is designed to execute both 1:1 and N:M mapping between the concepts of terms at a time and search for and compare various terms at a time, too. Also, in order to enhance work consistency and work reliability between the task performers, it allows work in parallel and the observation of work processes. Since it is developed with Java, it adds new terms in the form of plug-in to be used. It also reinforce database access security with Remote Method Invocation (RMI). This research still has tasks to be done such as complementing and refining and also establishing management procedures for registered data. However, it will be effectively used to reduce the time and expenses to generate terms in each of the medical institutions and improve the quality of medicine by providing consistent concepts and representative terms for the terminologies used for medical records and inducing proper selection of the terms according to their meaning.