组织范围内电子健康记录(EHR)系统升级对医生每日电子健康记录活动时间的影响:一项EHR日志数据研究

ACI open Pub Date : 2022-07-01 DOI:10.1055/s-0042-1757156
Lori Wong, K. Sexton, Joseph A. Sanford
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引用次数: 1

摘要

目的评估医疗机构的电子健康记录(EHR)升级对提供者每日电子健康记录活动时间的影响。方法通过电子病历日志数据获取用户每日电子病历活动时间(分钟/天),自动跟踪用户活动。研究对象为家庭医学、医院医学和新生儿重症监护病房的住院医师和住院医师。EHR升级发生在2020年8月,对照组为升级前(2020年5月31日- 2020年7月25日)和升级后(2020年8月30日- 2020年10月31日)。采用双尾、双样本t检验评估统计学显著性。结果升级前组有146名用户,升级后组有140名用户。升级前组(均值(M): 104.74分钟/天,标准差[SD]: 70.64)与升级后组(均值(M): 103.38分钟/天,标准差[SD]: 64.77)之间的差异无统计学意义,即使将数据按用户类型和用户类型及部门进行拆分。结论升级后每日电子病历活动时间无显著差异。要真正了解电子病历升级对用户效率的影响,还需要进行更多的研究。了解每次升级的内容可能是了解它们对用户影响的关键,我们希望在未来对此进行探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade on Physicians' Daily EHR Activity Time: An EHR Log Data Study
Objective This article assesses the impact of a health care organization's electronic health record (EHR) upgrade on providers' daily EHR activity time. Methods Daily EHR activity time (minutes/day) was acquired through EHR log data that automatically tracks user activity. Subjects were attending and resident physicians in the departments of family medicine, hospitalist medicine, and the neonatal intensive care unit working in the inpatient setting. The EHR upgrade occurred in August 2020, and the comparison groups were pre-upgrade (May 31, 2020–July 25, 2020) and post-upgrade (August 30, 2020–October 31, 2020). A two-tailed, two-sample t-test was used to assess statistical significance. Results The pre-upgrade group had 146 users, and the post-upgrade group had 140 users. There was no statistically significant difference between the pre-upgrade group (mean (M): 104.74 minutes/day, standard deviation [SD]: 70.64) and post-upgrade group (M: 103.38 minutes/day, SD: 64.77), even after splitting the data by user type and user type and department. Conclusion This study showed no significant difference in daily EHR activity time post-upgrade. More research is needed to truly understand the impact of EHR upgrades on user efficiency. Understanding the content of each upgrade might be key in understanding their effect on users, and we hope to explore that in the future.
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