Center for Clinical Informatics and Improvement Research, University of California San Francisco, San Francisco, California, USA.
Department of Medicine, Stanford University, Palo Alto, California, USA.
J Am Med Inform Assoc. 2022 Jan 29;29(3):453-460. doi: 10.1093/jamia/ocab268.
The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.
We use EHR meta-data from ambulatory care clinicians in 366 health systems using the Epic EHR system in the United States from December 2019 to December 2020. We used descriptive statistics for clinician EHR use including active-use time across clinical activities, time after-hours, and messages received. Multivariable regression to evaluate total and after-hours EHR work adjusting for daily volume and organizational characteristics, and to evaluate the association between messages and EHR time.
Clinician time spent in the EHR per day dropped at the onset of the pandemic but had recovered to higher than prepandemic levels by July 2020. Time spent actively working in the EHR after-hours showed similar trends. These differences persisted in multivariable models. In-Basket messages received increased compared with prepandemic levels, with the largest increase coming from messages from patients, which increased to 157% of the prepandemic average. Each additional patient message was associated with a 2.32-min increase in EHR time per day (P < .001).
Clinicians spent more total and after-hours time in the EHR in the latter half of 2020 compared with the prepandemic period. This was partially driven by increased time in Clinical Review and In-Basket messaging.
Reimbursement models and workflows for the post-COVID era should account for these demands on clinician time that occur outside the traditional visit.
COVID-19 大流行以多种方式改变了临床医生的电子健康记录(EHR)工作。为了评估这种变化,我们在美国整个 COVID-19 大流行期间衡量了门诊临床医生的 EHR 使用情况。
我们使用了美国使用 Epic EHR 系统的 366 个医疗系统中门诊护理临床医生的 EHR 元数据,时间跨度为 2019 年 12 月至 2020 年 12 月。我们使用描述性统计方法来评估临床医生的 EHR 使用情况,包括在各种临床活动中的活跃使用时间、下班后时间以及收到的消息。我们使用多变量回归来评估总工作量和下班后工作量,同时调整日常工作量和组织特征,并评估消息与 EHR 时间之间的关联。
大流行开始时,临床医生每天在 EHR 上花费的时间减少,但到 2020 年 7 月已恢复到高于大流行前的水平。下班后在 EHR 中积极工作的时间也呈现出类似的趋势。这些差异在多变量模型中仍然存在。收件箱中的消息量与大流行前相比有所增加,其中来自患者的消息增加最多,达到大流行前平均水平的 157%。每增加一条患者消息,每天的 EHR 使用时间就会增加 2.32 分钟(P < 0.001)。
与大流行前相比,2020 年下半年临床医生在 EHR 上花费的总时间和下班后时间都有所增加。这部分是由于 Clinical Review 和收件箱消息处理时间的增加所致。
在后 COVID-19 时代的报销模式和工作流程中,应该考虑到这些超出传统就诊时间对临床医生时间的需求。