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