Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

의약품 안전관리를 위한 빅데이터의 활용

Full metadata record
DC Field Value Language
dc.contributor.authorJung, Sun-Young-
dc.contributor.authorChoi, Nam-Kyong-
dc.contributor.authorLee, Joongyub-
dc.contributor.authorPark, Byung-Joo-
dc.date.accessioned2024-01-08T06:32:44Z-
dc.date.available2024-01-08T06:32:44Z-
dc.date.issued2014-05-
dc.identifier.issn1975-8456-
dc.identifier.issn2093-5951-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/69365-
dc.description.abstractThe development of information technologies has led to the era of big data; such enormous collections of informationon drugs and adverse drug reactions are stored in either a structured, a semistructured, or an unstructured form. Because of the nature of the emerging issue of drug safety, it is common for policy makers and healthcare professionalsto make decisions without sufficient evidence. Big data may be used as an efficient pharmacovigilance tool, whichenables us to recognize adverse drug reactions that may not have been identified in pre-marketing clinical trials, inorder to capture the patterns of drug utilization and adverse events, and to predict the occurrence of adverse drugreactions. National surveillance systems using electronic health databases have been established successfully in the USand Europe. The Korea Institute of Drug Safety and Risk Management (KIDS) plans to establish a big data platform forpharmacovigilance in Korea. The big data may be effectively used for evidence-based regulatory and clinical decisionmaking in the field of drug safety and risk management.-
dc.format.extent7-
dc.language한국어-
dc.language.isoKOR-
dc.publisher대한의사협회-
dc.title의약품 안전관리를 위한 빅데이터의 활용-
dc.title.alternativeUse of big data for drug safety monitoring and decision making-
dc.typeArticle-
dc.identifier.doi10.5124/jkma.2014.57.5.391-
dc.identifier.bibliographicCitation대한의사협회지, v.57, no.5, pp 391 - 397-
dc.identifier.kciidART001875641-
dc.description.isOpenAccessY-
dc.identifier.scopusid2-s2.0-84902577239-
dc.citation.endPage397-
dc.citation.number5-
dc.citation.startPage391-
dc.citation.title대한의사협회지-
dc.citation.volume57-
dc.publisher.location대한민국-
dc.subject.keywordAuthorBig data-
dc.subject.keywordAuthorPharmacovigilance-
dc.subject.keywordAuthorPharmacoepidemiology-
dc.subject.keywordAuthor빅데이터-
dc.subject.keywordAuthor약물감시-
dc.subject.keywordAuthor약물역학-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
Files in This Item
Appears in
Collections
ETC > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Jung, Sun-Young photo

Jung, Sun-Young
대학원 (글로벌혁신신약학과)
Read more

Altmetrics

Total Views & Downloads

BROWSE