Earticle

초록

영어

The existing Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) toolkit includes only a clinical term search, and its output functions are not linked to a particular database, making it difficult for users to map biological data, and the use of biobanks requires much time and effort. This study developed a SNOMED-CT toolkit using an optimized search, allowing users to map clinical items for efficient utilization and standardization of biobank resources. The toolkit was developed using the Java programming language and Java Database Connectivity to connect to a previously developed research database. The user interface was implemented using Swing. The functions and interfaces of the toolkit were developed after a requirement analysis by SNOMED-CT experts. Using the toolkit, the user can search SNOMED-CT concepts. Using pre-and post-coordinated mapping of clinical items with the toolkit, it is possible to maximize the semantic interoperability of the previously developed database.

목차

Abstract
 1. Introduction
 2. Methods
  2.1. Expert Requirement Analysis
  2.2. Database Design
  2.3. Concept Hierarchy Algorithm
 3. Results
  3.1. Clinical Item Tab
  3.2. SNOMED-CT Tab
 4. Conclusions
 Acknowledgments
 References

키워드

저자

• Hyun Sang Park [ Department of Medical Informatics, Kyungpook National University, Daegu 700-842, South Korea ]
• Hune Cho [ Department of Medical Informatics, Kyungpook National University, Daegu 700-842, South Korea ]
• Lee Sung Hee [ College of Nursing, Kyungpook National University, Daegu 700-842, South Korea ]
• Hwa Sun Kim [ Department of Medical Information Technology, Daegu Haany University, Gyungsan 700-715, South Korea ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Bio-Science and Bio-Technology

• 간기

  격월간

• pISSN

  2233-7849

• 수록기간

  2009~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605