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Text message alerts to emergency physicians identifying potential study candidates increase clinical trial enrollment

机译:短信提醒紧急医生以识别潜在的研究对象从而增加临床试验人数

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摘要

Prospective enrollment of research subjects in the fast-paced emergency department (ED) is challenging. We sought to develop a software application to increase real-time clinical trial enrollment during an ED visit. The Prospective Intelligence System for Clinical Emergency Services (PISCES) scans the electronic health record during ED encounters for preselected clinical characteristics of potentially eligible study participants and notifies the treating physician via mobile phone text alerts. PISCES alerts began 3 months into a cluster randomized trial of an electronic health record–based risk stratification tool for pediatric abdominal pain in 11 Northern California EDs. We compared aggregate enrollment before (2577 eligible patients, October 2016 to December 2016) and after (12 049 eligible patients, January 2017 to January 2018) PISCES implementation. Enrollment increased from 10.8% to 21.1% following PISCES implementations (
机译:在快节奏的急诊科(ED)中准入研究对象是一项挑战。我们寻求开发一种软​​件应用程序,以增加急诊就诊期间的实时临床试验注册人数。临床急救服务前瞻性情报系统(PISCES)会在ED遇见期间扫描电子健康记录,以寻找可能符合条件的研究参与者的预选临床特征,并通过手机文本警报通知主治医师。 PISCES警报从3个月开始进行一项随机分组试验,该试验是一项基于电子健康记录的风险分层工具,用于治疗北加州11个急诊科的小儿腹痛。我们比较了PISCES实施之前(2016年10月至2016年12月的2577名合格患者)和之后(2017年1月至2018年1月的12049名合格患者)的总入组率。在实施PISCES之后,入学率从10.8%增加到21.1%(

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