{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,19]],"date-time":"2025-11-19T11:29:02Z","timestamp":1763551742722},"reference-count":25,"publisher":"Oxford University Press (OUP)","issue":"2","content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2015,3,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Objective To develop and evaluate an electronic dashboard of hospital-wide electronic health record medication alerts for an alert fatigue reduction quality improvement project.<\/jats:p><jats:p>Methods We used visual analytics software to develop the dashboard. We collaborated with the hospital-wide Clinical Decision Support committee to perform three interventions successively deactivating clinically irrelevant drug\u2013drug interaction (DDI) alert rules. We analyzed the impact of the interventions on care providers\u2019 and pharmacists\u2019 alert and override rates using an interrupted time series framework with piecewise regression.<\/jats:p><jats:p>Results We evaluated 2\u2005391\u2005880 medication alerts between January 31, 2011 and January 26, 2014. For pharmacists, the median alert rate prior to the first DDI deactivation was 58.74 alerts\/100 orders (IQR 54.98\u201360.48) and 25.11 alerts\/100 orders (IQR 23.45\u201326.57) following the three interventions (p&amp;lt;0.001). For providers, baseline median alert rate prior to the first round of DDI deactivation was 19.73 alerts\/100 orders (IQR 18.66\u201320.24) and 15.11 alerts\/100 orders (IQR 14.44\u201315.49) following the three interventions (p&amp;lt;0.001). In a subgroup analysis, we observed a decrease in pharmacists\u2019 override rates for DDI alerts that were not modified in the system from a median of 93.06 overrides\/100 alerts (IQR 91.96\u201394.33) to 85.68 overrides\/100 alerts (IQR 84.29\u201387.15, p&amp;lt;0.001). The medication serious safety event rate decreased during the study period, and there were no serious safety events reported in association with the deactivated alert rules.<\/jats:p><jats:p>Conclusions An alert dashboard facilitated safe rapid-cycle reductions in alert burden that were temporally associated with lower pharmacist override rates in a subgroup of DDIs not directly affected by the interventions; meanwhile, the pharmacists\u2019 frequency of selecting the \u2018cancel\u2019 option increased. We hypothesize that reducing the alert burden enabled pharmacists to devote more attention to clinically relevant alerts.<\/jats:p>","DOI":"10.1136\/amiajnl-2013-002538","type":"journal-article","created":{"date-parts":[[2014,10,16]],"date-time":"2014-10-16T08:07:02Z","timestamp":1413446822000},"page":"361-369","update-policy":"http:\/\/dx.doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":72,"title":["Optimization of drug\u2013drug interaction alert rules in a pediatric hospital's electronic health record system using a visual analytics dashboard"],"prefix":"10.1093","volume":"22","author":[{"given":"Allan F","family":"Simpao","sequence":"first","affiliation":[{"name":"Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Luis M","family":"Ahumada","sequence":"additional","affiliation":[{"name":"Department of Enterprise Analytics and Reporting, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Bimal R","family":"Desai","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Christopher P","family":"Bonafide","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Jorge A","family":"G\u00e1lvez","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Mohamed A","family":"Rehman","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Critical Care Medicine, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Abbas F","family":"Jawad","sequence":"additional","affiliation":[{"name":"Department of Biostatistics in Pediatrics, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Krisha L","family":"Palma","sequence":"additional","affiliation":[{"name":"Department of Pharmacy Services, The Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]},{"given":"Eric D","family":"Shelov","sequence":"additional","affiliation":[{"name":"Department of Pediatrics, Perelman School of Medicine at the University of Pennsylvania and the Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA"}]}],"member":"286","published-online":{"date-parts":[[2014,10,15]]},"reference":[{"key":"2020110612585802800_R1","doi-asserted-by":"crossref","first-page":"722","DOI":"10.1542\/peds.111.4.722","article-title":"Prioritizing strategies for preventing medication errors and adverse drug events in pediatric inpatients","volume":"111","author":"Fortescue","year":"2003","journal-title":"Pediatrics"},{"key":"2020110612585802800_R2","doi-asserted-by":"crossref","first-page":"1247","DOI":"10.1016\/j.pcl.2012.08.001","article-title":"Computerized provider order entry and patient safety","volume":"59","author":"Abramson","year":"2012","journal-title":"Pediatr Clin North Am"},{"key":"2020110612585802800_R3","doi-asserted-by":"crossref","first-page":"647","DOI":"10.1197\/jamia.M2634","article-title":"Can surveillance systems identify and avert adverse drug events? 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