ACCURACY OF ELECTRONIC MEDICAL RECORD MEDICATION RECONCILIATION IN EMERGENCY DEPARTMENT PATIENTS
ACCURACY OF ELECTRONIC MEDICAL RECORD MEDICATION RECONCILIATION IN EMERGENCY DEPARTMENT PATIENTS
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DOI：
10.1016/j.jemermed.2014.12.052
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发表时间：
2015-07-01
影响因子：
1.5
通讯作者：
Heard, Kennon J.
中科院分区：
文献类型：
--
作者：
Monte, Andrew A.;Anderson, Peter;Heard, Kennon J.
Background: Medication history discrepancies have the potential to cause significant adverse clinical effects for patients. More than 40% of medication errors can be traced to inadequate reconciliation. Objective: The objective of this study was to determine the accuracy of electronic medical record (EMR)-reconciled medication lists obtained in an academic emergency department (ED). Methods: Comprehensive research medication ingestion histories for the 48 h preceding ED visit were performed and compared to reconciled EMR medication lists in a convenience sample of ED patients. The reconciled EMR list of prescription, nonprescription, vitamins, herbals, and supplement medications were compared against a structured research medication history tool. We measured the accuracy of the reconciled EMR list vs. the research history for all classes of medications as the primary outcome. Results: Five hundred and two subjects were enrolled. The overall accuracy of EMR-recorded ingestion histories in the preceding 48 h was poor. The EMR was accurate in only 21.9% of cases. Neither age $65 years (odds ratio [OR] = 1.3; 95% confidence interval [CI] 0.6-2.6) nor sex (female vs. male: OR = 1.5; 95% CI 0.9-2.5) were predictors of accurate EMR history. In the inaccurate EMRs, prescription lists were more likely to include medications that the subject did not report using (78.9%), while the EMR was more likely not to capture nonprescriptions (76.1%), vitamins (73.0%), supplements (67.3%), and herbals (89.1%) that the subject reported using. Conclusions: Medication ingestion histories procured through triage EMR reconciliation are often inaccurate, and additional strategies are needed to obtain an accurate list. (C) 2015 Elsevier Inc.
