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电子病理医嘱系统是否改变了医院常规检测的数量和模式?一项中断时间序列分析。

Does an electronic pathology ordering system change the volume and pattern of routine testing in hospital? An interrupted time series analysis.

机构信息

School of Medicine and Public Health, University of Newcastle, Callaghan, New South Wales, Australia.

Hunter Medical Research Institute, New Lambton Heights, New South Wales, Australia.

出版信息

J Clin Pathol. 2024 Jul 18;77(8):528-535. doi: 10.1136/jcp-2023-208850.

Abstract

AIMS

Identifying and reducing low-value care is a vital issue in Australia, with pathology test ordering a common focus in this field. This study builds on previous research and aimed to quantify the impact of the implementation of an electronic ordering (e-ordering) system on the volume of pathology testing, compared with manual (paper based) ordering.

METHODS

An audit and analysis of pathology test data were conducted, using an interrupted time series design to investigate the impact of the e-ordering system on pathology ordering patterns. All medical and surgical adult inpatients at a tertiary referral hospital in Newcastle, Australia, were included over a 3-year period.

RESULTS

Overall, there were no statistically significant differences in the volume of orders due to the implementation of the e-ordering system. There was a slight increase in the aggregated volume (tests per admission and tests per bed day) of tests ordered across the entire study period, reflecting a secular trend.

CONCLUSIONS

Despite providing greater visibility and tracking of orders, we conclude that the implementation of an e-ordering system does not, in and of itself, reduce ordering volume. Efforts to identify and reduce low-value care will require intentional effort and specifically designed educational programmes or hard-wired algorithms.

摘要

目的

在澳大利亚,识别和减少低价值医疗服务是一个至关重要的问题,病理检验医嘱是该领域的一个常见重点。本研究在前人的研究基础上,旨在定量评估电子医嘱(e 医嘱)系统的实施对病理检验量的影响,并与手动(纸质)医嘱进行比较。

方法

采用中断时间序列设计,对病理检验数据进行审核和分析,以调查 e 医嘱系统对病理医嘱模式的影响。在澳大利亚纽卡斯尔的一家三级转诊医院,对所有成年住院患者(内科和外科)进行了为期 3 年的研究。

结果

总体而言,由于实施了 e 医嘱系统,医嘱量并没有出现统计学上的显著差异。在整个研究期间,测试的总数量(每次入院和每床位每天的测试)略有增加,反映出一种长期趋势。

结论

尽管 e 医嘱系统提供了更好的医嘱可见性和跟踪,但我们的结论是,它本身并不能减少医嘱量。要识别和减少低价值医疗服务,需要付出有针对性的努力,并设计专门的教育计划或硬性算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a14d/11287530/33581dc86c37/jcp-2023-208850f01.jpg

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