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实时临床决策支持系统对计算机化医嘱录入血浆医嘱的有效性。

Effectiveness of a real-time clinical decision support system for computerized physician order entry of plasma orders.

机构信息

Department of Pathology, University of Pittsburgh.

出版信息

Transfusion. 2013 Dec;53(12):3120-7. doi: 10.1111/trf.12228. Epub 2013 Apr 30.

Abstract

BACKGROUND

We investigated the effect of implementing adaptive plasma ordering criteria in the computerized physician order entry (CPOE) system, with alerts that were automatically generated if the recipient's antecedent international normalized ratio (INR) did not meet the institutional criteria.

STUDY DESIGN AND METHODS

In a regional health care system consisting of 11 hospitals using a common CPOE, data on the number of plasma orders and alerts that were generated were collected over a 4-month period before prescribers were required to select an indication for plasma. When adaptive ordering was implemented prescribers had to choose from prepopulated indications for plasma: INR of 1.6 or greater with bleeding, INR of 1.6 or greater before an invasive procedure, therapeutic exchange, massive transfusion, and other. Regardless of the antecedent INR the alert did not trigger if massive transfusion or plasmapheresis was selected. Information on prescribers and recipients was collected during this 5-month period.

RESULTS

In the 4-month period before the adaptive alerts were implemented, 42.9% of the plasma orders generated an alert; in the 5-month period thereafter the alert rate was significantly lower at 27.9% (p < 0.0001). The percentage of heeded alerts increased during the adaptive alert period (24.3% vs. 17.1%, respectively, p = 0.004). A significant percentage (45%) of other plasma orders were for periprocedure or bleeding patients whose antecedent INR was less than 1.6. There were significant differences in prescriber specialties among those who ordered plasma using the other indication compared to all plasma orders.

CONCLUSION

Electronic interventions improve compliance with plasma guidelines but as implemented are not sufficient to completely curtail non-evidence-based ordering.

摘要

背景

我们研究了在计算机化医嘱录入系统(CPOE)中实施自适应血浆订购标准的效果,如果接受者的前国际标准化比值(INR)不符合机构标准,系统会自动生成警报。

研究设计和方法

在一个由 11 家医院组成的区域医疗系统中,使用了一个共同的 CPOE,在要求医生选择血浆的适应证之前的 4 个月内,收集了血浆订单数量和生成的警报数量的数据。当实施自适应订购时,医生必须从预先填充的血浆适应证中选择:出血时 INR 为 1.6 或更高,侵入性操作前 INR 为 1.6 或更高,治疗性交换,大量输血和其他。无论前 INR 如何,如果选择了大量输血或血浆置换,警报都不会触发。在此 5 个月期间收集了医生和患者的信息。

结果

在实施自适应警报的 4 个月前,42.9%的血浆订单生成了警报;此后的 5 个月,警报率显著降低至 27.9%(p<0.0001)。在自适应警报期间,收到警报的百分比增加(分别为 24.3%和 17.1%,p=0.004)。相当一部分(45%)的其他血浆订单是用于围手术期或出血患者,其前 INR 小于 1.6。与所有血浆订单相比,使用其他适应证的医生的专业科室存在显著差异。

结论

电子干预措施可提高对血浆指南的依从性,但实施情况不足以完全遏制基于证据的订购。

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