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Cited 10 time in webofscience Cited 12 time in scopus
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Effects of computerized physician order entry on medication turnaround time and orders requiring pharmacist intervention

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dc.contributor.authorDavis, Lloyd-
dc.contributor.authorBrunetti, Luigi-
dc.contributor.authorLee, Eui-Kyung-
dc.contributor.authorYoon, Nari-
dc.contributor.authorCho, Sung-Hee-
dc.contributor.authorSuh, Dong-Churl-
dc.date.available2019-03-08T21:02:30Z-
dc.date.issued2014-09-
dc.identifier.issn1551-7411-
dc.identifier.issn1934-8150-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/11882-
dc.description.abstractBackground: Previous studies have demonstrated that computerized physician order entry (CPOE) of prescriptions reduces both turnaround time (TAT) and medication errors. However, these studies have been performed primarily in large academic centers with a relatively small number of medication orders. As such, many studies investigating the impact of CPOE on the level of pharmacist intervention have yielded conflicting results. Objective: The objective of this study was to examine the effects of CPOE on medication order TAT and the frequency of medication orders requiring pharmacist intervention in a community-based medical center. Methods: A prospective cohort study was conducted at a community-based medical center. A total of 24,767 prescriptions written for 940 patients over a six-month period were stratified into CPOE or nonCPOE (handwritten) cohorts. TAT between cohorts were tested using analysis of variance and Tukey's Honestly Significant Difference test. The number of orders requiring pharmacist intervention was compared between cohorts and tested using chi-square test or Fisher's exact test. Medication orders requiring pharmacist intervention were stratified by patient characteristics, therapeutic class, and types of medication error. Results: Medication orders not using CPOE were approximately 8 times more likely to require pharmacist intervention (2.26% versus 0.29%; P < 0.001), with the majority of pharmacist interventions performed to prevent medication errors. The overall mean TAT for medication orders was significantly shorter in the CPOE group in comparison with the non-CPOE group (22.2 +/- 86.5 min versus 81 +/- 256.7 min; P < 0.001). CPOE orders nearly eliminated medication errors with wrong dosage forms and formulary issues. Conclusions: Medication orders entered via CPOE are associated with a significant reduction in medication TAT and less likely to require pharmacist intervention. Use of CPOE may improve quality of patient care and efficiency of health care delivery. (C) 2014 Elsevier Inc. All rights reserved.-
dc.format.extent12-
dc.language영어-
dc.language.isoENG-
dc.publisherELSEVIER SCIENCE INC-
dc.titleEffects of computerized physician order entry on medication turnaround time and orders requiring pharmacist intervention-
dc.typeArticle-
dc.identifier.doi10.1016/j.sapharm.2013.11.004-
dc.identifier.bibliographicCitationRESEARCH IN SOCIAL & ADMINISTRATIVE PHARMACY, v.10, no.5, pp 756 - 767-
dc.description.isOpenAccessN-
dc.identifier.wosid000342578700177-
dc.identifier.scopusid2-s2.0-84926208268-
dc.citation.endPage767-
dc.citation.number5-
dc.citation.startPage756-
dc.citation.titleRESEARCH IN SOCIAL & ADMINISTRATIVE PHARMACY-
dc.citation.volume10-
dc.type.docTypeArticle-
dc.publisher.location미국-
dc.subject.keywordAuthorComputerized physician order entry-
dc.subject.keywordAuthorMedication turnaround time-
dc.subject.keywordAuthorMedication error-
dc.subject.keywordAuthorPharmacist intervention-
dc.subject.keywordAuthorAdverse drug event-
dc.subject.keywordPlusADVERSE DRUG EVENTS-
dc.subject.keywordPlusELECTRONIC HEALTH RECORDS-
dc.subject.keywordPlusINTENSIVE-CARE-UNIT-
dc.subject.keywordPlusINFORMATION-TECHNOLOGY-
dc.subject.keywordPlusPRESCRIBING PRACTICES-
dc.subject.keywordPlusPOTENTIAL IMPACT-
dc.subject.keywordPlusCONTROLLED-TRIAL-
dc.subject.keywordPlusERRORS-
dc.subject.keywordPlusPREVENTION-
dc.subject.keywordPlusSYSTEM-
dc.relation.journalResearchAreaPublic, Environmental & Occupational Health-
dc.relation.journalResearchAreaPharmacology & Pharmacy-
dc.relation.journalWebOfScienceCategoryPublic, Environmental & Occupational Health-
dc.relation.journalWebOfScienceCategoryPharmacology & Pharmacy-
dc.description.journalRegisteredClassssci-
dc.description.journalRegisteredClassscopus-
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