School of Information and Library Science, University of North Carolina at Chapel Hill, Chapel Hill.
Carolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill.
JAMA Netw Open. 2019 Apr 5;2(4):e191709. doi: 10.1001/jamanetworkopen.2019.1709.
Current electronic health record (EHR) user interfaces are suboptimally designed and may be associated with excess cognitive workload and poor performance.
To assess the association between the usability of an EHR system for the management of abnormal test results and physicians' cognitive workload and performance levels.
DESIGN, SETTING, AND PARTICIPANTS: This quality improvement study was conducted in a simulated EHR environment. From April 1, 2016, to December 23, 2016, residents and fellows from a large academic institution were enrolled and allocated to use either a baseline EHR (n = 20) or an enhanced EHR (n = 18). Data analyses were conducted from January 9, 2017, to March 30, 2018.
The EHR with enhanced usability segregated in a dedicated folder previously identified critical test results for patients who did not appear for a scheduled follow-up evaluation and provided policy-based decision support instructions for next steps. The baseline EHR displayed all patients with abnormal or critical test results in a general folder and provided no decision support instructions for next steps.
Cognitive workload was quantified subjectively using NASA-Task Load Index and physiologically using blink rates. Performance was quantified according to the percentage of appropriately managed abnormal test results.
Of the 38 participants, 25 (66%) were female. The 20 participants allocated to the baseline EHR compared with the 18 allocated to the enhanced EHR demonstrated statistically significantly higher cognitive workload as quantified by blink rate (mean [SD] blinks per minute, 16 [9] vs 24 [7]; blink rate, -8 [95% CI, -13 to -2]; P = .01). The baseline group showed statistically significantly poorer performance compared with the enhanced group who appropriately managed 16% more abnormal test results (mean [SD] performance, 68% [19%] vs 98% [18%]; performance rate, -30% [95% CI, -40% to -20%]; P < .001).
Relatively basic usability enhancements to the EHR system appear to be associated with better physician cognitive workload and performance; this finding suggests that next-generation systems should strip away non-value-added EHR interactions, which may help physicians eliminate the need to develop their own suboptimal workflows.
当前的电子健康记录 (EHR) 用户界面设计不佳,可能与认知工作量过大和性能不佳有关。
评估管理异常测试结果的 EHR 系统的可用性与医生认知工作量和绩效水平之间的关联。
设计、环境和参与者:这项质量改进研究是在模拟的 EHR 环境中进行的。从 2016 年 4 月 1 日至 2016 年 12 月 23 日,来自一所大型学术机构的住院医师和研究员被纳入并分配使用基础 EHR(n=20)或增强型 EHR(n=18)。数据分析于 2017 年 1 月 9 日至 2018 年 3 月 30 日进行。
具有增强可用性的 EHR 将以前确定的未按计划进行随访评估的患者的关键测试结果隔离在专用文件夹中,并为下一步提供基于策略的决策支持说明。基础 EHR 在一般文件夹中显示所有异常或关键测试结果的患者,并且没有为下一步提供决策支持说明。
认知工作量通过 NASA 任务负荷指数进行主观量化,并通过眨眼率进行生理量化。根据适当管理的异常测试结果的百分比来量化性能。
在 38 名参与者中,有 25 名(66%)为女性。与分配到基础 EHR 的 20 名参与者相比,分配到增强型 EHR 的 18 名参与者的认知工作量表现出统计学上的显著增加,这是通过眨眼率来衡量的(每分钟眨眼平均 [标准差],16 [9] 与 24 [7];眨眼率,-8 [95%CI,-13 至-2];P=0.01)。基础组的表现明显不如增强组,后者适当管理了 16%更多的异常测试结果(平均 [标准差] 性能,68% [19%] 与 98% [18%];性能率,-30% [95%CI,-40% 至-20%];P<0.001)。
相对基本的 EHR 系统可用性增强似乎与医生的认知工作量和绩效相关;这一发现表明,下一代系统应该去除非增值 EHR 交互,这可能有助于医生消除开发自己非最佳工作流程的需要。