Movahedi, Homa2017-12-152017-12-1520172017-12-15http://hdl.handle.net/1828/8880Abstract Objective: The purpose of this study is to evaluate “level of involvement” of electronic records and their tools with witnessed sex differences in adverse drug reactions, by reviewing scope of current relevant literature. Methods: We conducted a scoping review of literature published from 1990 to Sep 2016 on studies that involved electronic records, and as part of their results, indicated “sex differences in adverse drug reactions”. Next, we analyzed current level of usage of electronic records according to gender patterns of ADRs, and also pictured unused potentials of them in preventing adverse drug reactions considering patterns in sex differences. Results: From 9829 located articles, 46 met inclusion/exclusion criteria. Electronic records in these studies have mostly been used as a data resource either for obtaining general health data about study subjects or at their best, as data repositories of adverse drug reactions’ reports. Despite presenting a gender difference in ADRs with female/male dominance ratio of 32/8 (with 6 studies having a mixed gender results), we couldn’t locate studies suggesting a preventing role for electronic records in adverse drug reactions. Conclusion: Electronic records are holding huge amounts of aggregated data, and are playing a progressively major role in multiple aspects of healthcare management, including medication prescription. Concealed embedded patterns in this data should be exposed in forthcoming studies and considered in implementing decision support systems. This is in fact part of the efferent side of a learning healthcare system, in which the analyzed and interpreted data is fed back into the system to deliver tailored messages to decision makers and eventually make a start to change the practice; in this case adding preventive elements at the point of medication prescription, in order to foresee and decrease adverse drug reactions.enAvailable to the World Wide WebAdverseDrugReactionEffectFemaleWomenSexGenderDataInformationElectronicHealthRecordEHRPrecisionEMRADRAERSCPOEECREMRPMRADEproject