首页> 美国卫生研究院文献>Journal of the American Medical Informatics Association : JAMIA >Integrating Best of Care Protocols into Clinicians Workflow via Care Provider Order Entry: Impact on Quality-of-Care Indicators for Acute Myocardial Infarction
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Integrating Best of Care Protocols into Clinicians Workflow via Care Provider Order Entry: Impact on Quality-of-Care Indicators for Acute Myocardial Infarction

机译:通过护理提供者订单输入将最佳护理方案整合到临床医生的工作流程中:对急性心肌梗塞护理质量指标的影响

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摘要

>Objective: In the context of an inpatient care provider order entry (CPOE) system, to evaluate the impact of a decision support tool on integration of cardiology “best of care” order sets into clinicians' admission workflow, and on quality measures for the management of acute myocardial infarction (AMI) patients.>Design: A before-and-after study of physician orders evaluated (1) per-patient use rates of standardized acute coronary syndrome (ACS) order set and (2) patient-level compliance with two individual recommendations: early aspirin ordering and beta-blocker ordering.>Measurements: The effectiveness of the intervention was evaluated for (1) all patients with ACS (suspected for AMI at the time of admission) (N = 540) and (2) the subset of the ACS patients with confirmed discharge diagnosis of AMI (n = 180) who comprise the recommended target population who should receive aspirin and/or beta-blockers. Compliance rates for use of the ACS order set, aspirin ordering, and beta-blocker ordering were calculated as the percentages of patients who had each action performed within 24 hours of admission.>Results: For all ACS admissions, the decision support tool significantly increased use of the ACS order set (p = 0.009). Use of the ACS order set led, within the first 24 hours of hospitalization, to a significant increase in the number of patients who received aspirin (p = 0.001) and a nonsignificant increase in the number of patients who received beta-blockers (p = 0.07). Results for confirmed AMI cases demonstrated similar increases, but did not reach statistical significance.>Conclusion: The decision support tool increased optional use of the ACS order set, but room for additional improvement exists.
机译:>目标:在住院护理提供者订单输入(CPOE)系统的背景下,要评估决策支持工具对将心脏病学“最佳护理”订单集整合到临床医生的入院工作流程中的影响, >设计:一项关于医生医嘱的前后研究评估了(1)每位患者的标准急性冠脉综合征使用率( ACS)订单集和(2)患者水平遵守两项建议:早期阿司匹林订购和β-受体阻滞剂订购。>措施:对(1)所有ACS患者评估了干预措施的有效性(入院时怀疑患有AMI)(N = 540)和(2)确诊为AMI出院诊断的ACS患者的亚组(n = 180),包括应接受阿司匹林和/或Beta的推荐目标人群-阻滞剂。使用ACS订单集,阿司匹林订购和β受体阻滞剂订购的依从率,以入院24小时内进行了所有操作的患者所占的百分比计算。>结果:对于所有ACS入院,决策支持工具显着提高了ACS订单集的使用率(p = 0.009)。在住院的最初24小时内,使用ACS订单集导致接受阿司匹林的患者数量显着增加(p = 0.001),接受β受体阻滞剂的患者数量却无显着增加(p = 0.07)。确诊的AMI病例的结果显示出相似的增加,但没有达到统计学显着性。>结论:决策支持工具增加了ACS订单集的可选使用,但仍有进一步改进的空间。

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