The electronic health record (EHR) data deluge makes data retrieval more difficult, escalating cognitive load and exacerbating clinician burnout. New auto-summarization techniques are needed. The study goal was to determine if problem-oriented view (POV) auto-summaries improve data retrieval workflows. We hypothesized that POV users would perform tasks faster, make fewer errors, be more satisfied with EHR use, and experience less cognitive load as compared with users of the standard view (SV).

中文翻译：

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以问题为导向的观点对临床数据检索的影响


电子健康记录 (EHR) 数据泛滥使得数据检索变得更加困难，认知负荷不断增加，并加剧了临床医生的倦怠。需要新的自动摘要技术。研究目标是确定面向问题的视图 (POV) 自动摘要是否可以改善数据检索工作流程。我们假设，与标准视图 (SV) 的用户相比，POV 用户会更快地执行任务，犯更少的错误，对 EHR 使用更满意，并且体验更少的认知负荷。