Toward Better Understanding of Task Difficulty during Physicians’ Interaction with Electronic Health Record System (EHRs)

IF 3.4 3区 计算机科学 Q2 COMPUTER SCIENCE, CYBERNETICS International Journal of Human-Computer Interaction Pub Date : 2019-02-20 DOI:10.1080/10447318.2019.1575081
P. Mosaly, Hua Guo, L. Mazur
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引用次数: 7

Abstract

ABSTRACT The goal of this study was to assess the relationship of task difficulty and mental effort with performance during physicians’ interaction with electronic health records (EHRs). A total of 38 physicians were asked to identify abnormal results and take follow-up action to “close the loop” on care delivery. Task difficulty was quantified via task-flow strategies and computer mouse-click patterns. Mental effort was quantified using eye movements based on changes in pupillary dilations (task evoked pupillary response or TEPR) and blink rate. Performance was quantified based on commission errors (error vs. no-error). Results indicated that physicians had different task-flow strategies; however, with improved awareness of the patient status, they exhibited an optimal task-flow strategy. Overall, performance was related to task-flow strategies, computer mouse-click patterns, and blink rate, indicating that physicians had lower task-difficulty and experienced lower mental effort with improved awareness of patient follow-up status. This is an important finding demonstrating that task-flows are a dominant predictor of physician performance when comparing between EHR designs. On the contrary, mouse-click patterns and blink rate are both useful predictors of physician performance when assessment was done within an EHR.
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更好地理解医生与电子病历系统交互过程中的任务难度
摘要本研究的目的是评估医生在使用电子健康档案(EHRs)时,任务难度和精神努力与工作表现的关系。共有38名医生被要求识别异常结果,并采取后续行动,以“闭环”的护理服务。任务难度通过任务流策略和电脑鼠标点击模式进行量化。根据瞳孔扩张(任务诱发瞳孔反应或TEPR)和眨眼频率的变化,使用眼动来量化精神努力。性能根据委托错误(错误与无错误)进行量化。结果表明,医生具有不同的任务流策略;然而,随着患者状态意识的提高,他们表现出最佳的任务流策略。总体而言,绩效与任务流策略、电脑鼠标点击模式和眨眼率有关,表明医生在提高对患者随访状态的认识后,任务难度降低,脑力劳动减少。这是一个重要的发现,表明在比较电子病历设计时,任务流程是医生表现的主要预测因素。相反,当在电子病历中进行评估时,鼠标点击模式和眨眼频率都是医生表现的有用预测指标。
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来源期刊
International Journal of Human-Computer Interaction
International Journal of Human-Computer Interaction 工程技术-计算机:控制论
CiteScore
9.00
自引率
21.30%
发文量
347
审稿时长
2 months
期刊介绍: The International Journal of Human-Computer Interaction addresses the cognitive, creative, social, health, and ergonomic aspects of interactive computing. It emphasizes the human element in relation to the systems and contexts in which humans perform, operate, network, and communicate, including mobile apps, social media, online communities, and digital accessibility. The journal publishes original articles including reviews and reappraisals of the literature, empirical studies, and quantitative and qualitative contributions to the theories and applications of HCI.
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