Please use this identifier to cite or link to this item: https://doi.org/10.1136/jamia.2010.006882
DC FieldValue
dc.titleDevelopment of a combined system for identification and classification of adverse drug reactions: Alerts based on ADR causality and severity (ABACUS)
dc.contributor.authorKoh, Y.
dc.contributor.authorYap, C.W.
dc.contributor.authorLi, S.-C.
dc.date.accessioned2014-10-29T01:51:14Z
dc.date.available2014-10-29T01:51:14Z
dc.date.issued2010-11
dc.identifier.citationKoh, Y., Yap, C.W., Li, S.-C. (2010-11). Development of a combined system for identification and classification of adverse drug reactions: Alerts based on ADR causality and severity (ABACUS). Journal of the American Medical Informatics Association 17 (6) : 720-722. ScholarBank@NUS Repository. https://doi.org/10.1136/jamia.2010.006882
dc.identifier.issn10675027
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/105826
dc.description.abstractCurrently, adverse drug reaction (ADR) causality and severity are assessed using different systems but there is no standard method to combine the results. In this work, a combined ADR causality and severity assessment system, including an online version, was developed. Logical rules were defined to translate the score obtained from the system into three alert zones: green, amber, and red. The alert zones are useful for triaging ADR cases as they help define the seriousness of the ADR and the urgency of the responses required. This new scoring system may be useful for clinicians, investigators, and regulators seeking information on the likelihood of a drug causing an adverse reaction, and whether an adverse reaction is sufficiently dangerous for the drug to be withheld or undergo further investigation.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1136/jamia.2010.006882
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHARMACY
dc.description.doi10.1136/jamia.2010.006882
dc.description.sourcetitleJournal of the American Medical Informatics Association
dc.description.volume17
dc.description.issue6
dc.description.page720-722
dc.description.codenJAMAF
dc.identifier.isiut000283899900018
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


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