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Utilization of a Computerized Clinical Surveillance System to Increase Acute Myocardial Infarction Core Measure Compliance

机译:利用计算机化的临床监测系统增加急性心肌梗死核心指标的依从性

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Background: Clinical surveillance systems (CSS) are utilized by many health care institutions to help identify at-risk patients, prioritize care, improve the clinical services provided, and increase compliance with the Center for Medicare and Medicaid Services (CMS) core measures. Objective: This study will assess the accuracy and practicality of a CMS acute myocardial infarction (AMI) alert, provided by the CSS Theradoc, designed to increase compliance with medications required at discharge in AMI patients.Methods: This is a single-center, retrospective cohort review to determine the sensitivity and specificity of the Theradoc CMS AMI alert. All patients with a Theradoc CMS AMI alert were analyzed for AMI occurrence and omission of CMS-required discharge medications. Secondary endpoints regarding alert times and quantity were also assessed to address the practicality of implementing the alert.Results: Data were collected on patients with alerts occurring between January 1, 2011, and December 31, 2011 (N = 962). The Theradoc CSS alert was found to have a sensitivity of 100% and specificity of 4.79%, signifying a gross amount of false positives. No modifications to the alert definitions or timing were able to increase the specificity to >10%.Conclusions: Regardless of the high sensitivity, the Theradoc CMS AMI alert does not have the appropriate level of specificity to utilize at the study institution at this time.
机译:背景:许多医疗机构都使用临床监视系统(CSS)来帮助识别高危患者,确定护理的优先级,改善所提供的临床服务并增强对Medicare and Medicaid Services(CMS)中心措施的依从性。目的:本研究将评估CSS Theradoc提供的CMS急性心肌梗塞(AMI)警报的准确性和实用性,旨在提高对AMI患者出院时所需药物的依从性。方法:这是一项单中心回顾性研究队列研究以确定Theradoc CMS AMI警报的敏感性和特异性。对所有具有Theradoc CMS AMI警报的患者进行AMI发生和CMS要求的出院药物遗漏的分析。还评估了有关警报时间和数量的次要终点,以解决实施警报的可行性。结果:收集了2011年1月1日至2011年12月31日期间发生警报的患者的数据(N = 962)。 Theradoc CSS警报被发现具有100%的敏感性和4.79%的特异性,表明总的假阳性率。没有修改预警定义或时机,不能将特异性提高到10%以上。结论:尽管灵敏度高,但Theradoc CMS AMI预警目前尚不具备在研究机构中使用的适当水平的特异性。

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