Gupta Ashwin, Harrod Molly, Quinn Martha, Manojlovich Milisa, Fowler Karen E, Singh Hardeep, Saint Sanjay, Chopra Vineet
Division of Hospital Medicine, VA Ann Arbor Healthcare System, 2215 Fuller Road, Ann Arbor, MI 48105-2303, USA.
University of Michigan Medical School, Ann Arbor, MI 48109-0624, USA.
Diagnosis (Berl). 2018 Sep 25;5(3):151-156. doi: 10.1515/dx-2018-0014.
: Traditionally, research has examined systems- and cognitive-based sources of diagnostic error as individual entities. However, half of all errors have origins in both domains.
: We conducted a focused ethnography of inpatient physicians at two academic institutions to understand how systems-based problems contribute to cognitive errors in diagnosis. Medicine teams were observed on rounds and during post-round work after which interviews were conducted. Field notes related to the diagnostic process and the work system were recorded, and findings were organized into themes. Using deductive content analysis, themes were categorized based on a published taxonomy to link systems-based contributions and cognitive errors such as faulty data gathering, information processing, data verification and errors associated with multiple domains.
: Observations, focus groups and interviews of 10 teams were conducted between January 2016 and April 2017. The following themes were identified: (1) challenges with interdisciplinary communication and communication within the electronic medical record contributed to faulty data gathering; (2) organizational structures such as the operation of consulting services in silos promoted faulty information processing; (3) care handoffs led to faulty data verification, and; (4) interruptions, time constraints, and a cluttered physical environment negatively influenced multiple cognitive domains.
: Systems-based factors often facilitate and promote cognitive problems in diagnosis. Linking systems-based contributions to downstream cognitive impacts and intervening on both in tandem may help prevent diagnostic errors.
传统上,研究将基于系统和认知的诊断错误来源作为单独的实体进行考察。然而,所有错误中有一半源于这两个领域。
我们对两家学术机构的住院医师进行了聚焦人种志研究,以了解基于系统的问题如何导致诊断中的认知错误。观察医疗团队查房及查房后的工作,之后进行访谈。记录与诊断过程和工作系统相关的实地笔记,并将研究结果整理成主题。使用演绎性内容分析,根据已发表的分类法对主题进行分类,以将基于系统的因素与认知错误联系起来,如错误的数据收集、信息处理、数据验证以及与多个领域相关的错误。
在2016年1月至2017年4月期间,对10个团队进行了观察、焦点小组讨论和访谈。确定了以下主题:(1)跨学科沟通以及电子病历内沟通方面的挑战导致错误的数据收集;(2)诸如咨询服务各自为政的组织结构促使错误的信息处理;(3)护理交接导致错误的数据验证,以及(4)干扰、时间限制和杂乱的物理环境对多个认知领域产生负面影响。
基于系统的因素常常促成并加剧诊断中的认知问题。将基于系统的因素与下游认知影响联系起来,并同时对两者进行干预,可能有助于预防诊断错误。