Please use this identifier to cite or link to this item: https://doi.org/10.1136/jamia.2010.006882
Title: Development of a combined system for identification and classification of adverse drug reactions: Alerts based on ADR causality and severity (ABACUS)
Authors: Koh, Y. 
Yap, C.W. 
Li, S.-C. 
Issue Date: Nov-2010
Source: Koh, 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
Abstract: Currently, 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.
Source Title: Journal of the American Medical Informatics Association
URI: http://scholarbank.nus.edu.sg/handle/10635/105826
ISSN: 10675027
DOI: 10.1136/jamia.2010.006882
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