Olivia R Newgaard, Rajeev Chaudhry, Jenny A Schutte, Richard Arndt, Jennifer R Rich, Andrew D Calvin, Richard D Hanna
{"title":"Amiodarone Pharmacovigilance Through an Intelligent Electronic Health Record Application.","authors":"Olivia R Newgaard, Rajeev Chaudhry, Jenny A Schutte, Richard Arndt, Jennifer R Rich, Andrew D Calvin, Richard D Hanna","doi":"","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Amiodarone is the most effective and commonly used antiarrhythmic medication. Given its risk of toxicity, routine monitoring is recommended but is challenging to ensure in clinical practice.</p><p><strong>Methods: </strong>We created an intelligent application, built within our electronic health record, that identified every living patient with an active outpatient prescription by a clinician in our health system. The application was designed to identify patients with lapses in recommended monitoring and facilitate scheduling of overdue testing.</p><p><strong>Results: </strong>The percentage of patients with overdue monitoring tests decreased with use of the application, with greatest improvement in pulmonary function testing.</p><p><strong>Discussion: </strong>Implementing a program to monitor and mitigate adverse reactions to amiodarone by using programable features of an electronic health record is feasible.</p>","PeriodicalId":38747,"journal":{"name":"Wisconsin Medical Journal","volume":"122 4","pages":"280-283"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Wisconsin Medical Journal","FirstCategoryId":"1085","ListUrlMain":"","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Amiodarone is the most effective and commonly used antiarrhythmic medication. Given its risk of toxicity, routine monitoring is recommended but is challenging to ensure in clinical practice.
Methods: We created an intelligent application, built within our electronic health record, that identified every living patient with an active outpatient prescription by a clinician in our health system. The application was designed to identify patients with lapses in recommended monitoring and facilitate scheduling of overdue testing.
Results: The percentage of patients with overdue monitoring tests decreased with use of the application, with greatest improvement in pulmonary function testing.
Discussion: Implementing a program to monitor and mitigate adverse reactions to amiodarone by using programable features of an electronic health record is feasible.
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