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Department-focused electronic health record thrive training.以科室为重点的电子健康记录蓬勃发展培训。
JAMIA Open. 2022 Apr 9;5(2):ooac025. doi: 10.1093/jamiaopen/ooac025. eCollection 2022 Jul.
2
Changes in Burnout and Satisfaction With Work-Life Integration in Physicians and the General US Working Population Between 2011 and 2020.2011 年至 2020 年期间医生和美国普通劳动人口的倦怠和工作-生活融合满意度变化。
Mayo Clin Proc. 2022 Mar;97(3):491-506. doi: 10.1016/j.mayocp.2021.11.021.
3
Association Between Proficiency and Efficiency in Electronic Health Records Among Pediatricians at a Major Academic Health System.一家大型学术医疗系统中儿科医生的电子健康记录熟练程度与效率之间的关联。
Front Digit Health. 2021 Sep 6;3:689646. doi: 10.3389/fdgth.2021.689646. eCollection 2021.
4
Trends in Electronic Health Record Inbox Messaging During the COVID-19 Pandemic in an Ambulatory Practice Network in New England.在新英格兰地区的一个门诊实践网络中,COVID-19 大流行期间电子健康记录收件箱消息的趋势。
JAMA Netw Open. 2021 Oct 1;4(10):e2131490. doi: 10.1001/jamanetworkopen.2021.31490.
5
Using Log Data to Measure Provider EHR Activity at a Cancer Center during Rapid Telemedicine Deployment.利用日志数据衡量癌症中心在快速远程医疗部署期间的医生电子病历使用情况。
Appl Clin Inform. 2021 May;12(3):629-636. doi: 10.1055/s-0041-1731679. Epub 2021 Jul 14.
6
Associations of physician burnout with organizational electronic health record support and after-hours charting.医生倦怠与组织电子健康记录支持和工作后图表的关联。
J Am Med Inform Assoc. 2021 Apr 23;28(5):960-966. doi: 10.1093/jamia/ocab053.
7
Clinician Burnout Associated With Sex, Clinician Type, Work Culture, and Use of Electronic Health Records.临床医生职业倦怠与性别、医生类型、工作文化以及电子健康记录的使用有关。
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8
Physician Burnout in Primary Care during the COVID-19 Pandemic: A Cross-Sectional Study in Portugal.《COVID-19 大流行期间初级保健医生倦怠:葡萄牙的一项横断面研究》。
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Characterizing physician EHR use with vendor derived data: a feasibility study and cross-sectional analysis.利用供应商提供的数据描述医生的电子健康记录使用情况:一项可行性研究和横断面分析。
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Preliminary Report: US Physician Stress During the Early Days of the COVID-19 Pandemic.初步报告:新冠疫情初期美国医生的压力状况
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新冠疫情对医生使用电子健康记录的影响。

Physician Electronic Health Record Usage as Affected by the COVID-19 Pandemic.

机构信息

Department of Medicine, Albert Einstein College of Medicine/Montefiore Medical Center, Bronx, New York, United States.

Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, United States.

出版信息

Appl Clin Inform. 2022 Aug;13(4):785-793. doi: 10.1055/a-1877-2745. Epub 2022 Jun 15.

DOI:10.1055/a-1877-2745
PMID:35705186
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9411035/
Abstract

OBJECTIVES

To utilize metrics from physician action logs to analyze volume, physician efficiency and burden as impacted by telemedicine implementation during the COVID-19 (coronavirus disease 2019) pandemic, and physician characteristics such as gender, years since graduation, and specialty category.

METHODS

We selected 11 metrics from Epic Signal, a functionality of the Epic electronic health record (EHR). Metrics measuring time spent in the EHR outside working hours were used as a correlate for burden. We performed an analysis of these metrics among active physicians at our institution across three time periods-prepandemic and telehealth implementation (August 2019), postimplementation of telehealth (May 2020), and follow-up (July 2020)-and correlated them with physician characteristics.

RESULTS

Analysis of 495 physicians showed that after the start of the pandemic, physicians overall had fewer appointments per day, higher same day visit closure rates, and spent less time writing notes in the EHR outside 7 a.m. to 7 p.m. on patient scheduled days. Across all three time periods, male physicians had better EHR-defined "efficiency" measures and spent less time in the EHR outside working hours. Years since graduation only had modest associations with higher same day visit closure rates and appointments per day in May 2020. Specialty category was significantly associated with appointments per day and same day closure visit rates and also was a significant factor in the observed changes seen across the three time periods.

CONCLUSION

Utilizing EHR-generated reports may provide a scalable and nonintrusive way to monitor trends in physician usage and experience to help guide health systems in increasing productivity and reducing burnout.

摘要

目的

利用医生行为日志中的指标,分析在 COVID-19(2019 年冠状病毒病)大流行期间实施远程医疗对医生工作量、效率和负担的影响,以及医生的特征,如性别、毕业年限和专业类别。

方法

我们从 Epic Signal 中选择了 11 项指标,这是 Epic 电子病历(EHR)的一个功能。用于衡量 EHR 中非工作时间内花费的时间的指标被用作负担的相关指标。我们在我们机构的活跃医生中进行了这三个时间段的分析:疫情前和远程医疗实施期间(2019 年 8 月)、远程医疗实施后(2020 年 5 月)和随访(2020 年 7 月),并将这些指标与医生的特征相关联。

结果

对 495 名医生的分析表明,大流行开始后,医生每天的预约减少了,当天就诊的关闭率更高,在患者预约日的上午 7 点至晚上 7 点之外,在 EHR 中写记录的时间减少了。在所有三个时间段内,男性医生的 EHR 定义的“效率”指标更好,在工作时间之外在 EHR 中的时间更少。毕业年限仅与 2020 年 5 月当天就诊的关闭率和每天的预约次数有适度的关联。专业类别与每天的预约次数和当天就诊的关闭率显著相关,也是三个时间段内观察到的变化的一个重要因素。

结论

利用 EHR 生成的报告可以提供一种可扩展的、非侵入性的方法来监测医生使用和体验的趋势,以帮助指导医疗系统提高生产力和减少倦怠。