A systematic approach to optimize electronic health record medication alerts in a health system.
Purpose The effectiveness of a systematic, streamlined approach to optimize drug–drug interaction alerts in an electronic health record for a health system was studied. Methods An 81-week quasi-experimental study was conducted to evaluate interventions made to medication-related clinical decision-su...
| Publicado en: | American Journal of Health-System Pharmacy Vol. 76; no. 8; pp. 530 - 537 |
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| Autores principales: | , , , , |
| Formato: | algorithm research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
4/15/2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=135845539&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 135845539 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10792082 1X3 jtl: American Journal of Health-System Pharmacy issn: 10792082 maglogo: N pubinfo: dt: 4/15/2019 vid: 76 iid: 8 pid: 622 pub: Oxford University Press / USA artinfo: ui: 135845539 135845539 135845539 10.1093/ajhp/zxz012 135845539 ppf: 530 ppct: 7 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: A systematic approach to optimize electronic health record medication alerts in a health system. aug: au: Bhakta, Sunny B Colavecchia, A Carmine Haines, Linda Varkey, Divya Garey, Kevin W affil: Department of Pharmacy Services, Houston Methodist Hospital, Houston, TX University of Houston College of Pharmacy, Houston, TX sug: subj: Medication Errors Prevention and Control Electronic Health Records Drug Interactions Medication Systems Electronic Order Entry Decision Support Systems, Clinical Human Quasi-Experimental Studies Multidisciplinary Care Team Pharmacist Attitudes Interrupted Time Series Analysis Regression Inpatients Attitude of Health Personnel ab: Purpose The effectiveness of a systematic, streamlined approach to optimize drug–drug interaction alerts in an electronic health record for a health system was studied. Methods An 81-week quasi-experimental study was conducted to evaluate interventions made to medication-related clinical decision-support (CDS) alerts. Medication-related CDS alerts were systematically reduced using a multi disciplinary healthcare committee. The primary endpoint was weekly overall, modification, and acknowledgement rates of medication alerts after drug–drug interaction reclassification. Secondary endpoints included sub analysis of types of medication alerts (drug–drug interaction and duplicate therapy alerts) and alert use by providers (pharmacist and prescribers). Data was analyzed using interrupted time series regression analysis. Results After implementation of the new alert system, total number of weekly inpatient alerts decreased from 68,900 (66,300–70,900) and 50,300 (48,600–53,600) in the postintervention period (p < 0.001). The perentage of alerts acknowledged weekly increased from 11.8% (IQR, 11.4–12.1%) in the preintervention period to 13.7% (IQR, 13.3–14.0%) in the postintervention period (p < 0.001). The percentage of alerts that were modified also increased from 5.0% (IQR, 4.9–5.3%) in the preintervention period to 7.3% (IQR, 7.0–7.6%) in the postintervention period (p < 0.001). Both increases were primarily seen with pharmacists versus other healthcare professionals (p < 0.001). Conclusion A committee-led systematic approach to optimizing drug–drug interactions facilitated a significant decrease in the overall number of alerts and an increase in both medication alert acknowledgement and modification rates. pubtype: Academic Journal doctype: algorithm research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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