Shaw M, Singh S
Intensive Care Unit, Magill Department of Anaesthesia, Intensive Care and Pain Management, Chelsea and Westminster Hospital NHS Trust, Imperial College, London, UK.
Int J Clin Pract. 2015 Apr;69(4):396-400. doi: 10.1111/ijcp.12614.
Diagnostic error has implications for both clinical outcome and resource utilisation, and may often be traced to impaired data gathering, processing or synthesis because of the influence of cognitive bias. Factors inherent to the intensive/acute care environment afford multiple additional opportunities for such errors to occur. This article illustrates many of these with reference to a case encountered on our intensive care unit. Strategies to improve completeness of data gathering, processing and synthesis in the acute care environment are critically appraised in the context of early detection and amelioration of cognitive bias. These include reflection, targeted simulation training and the integration of social media and IT based aids in complex diagnostic processes. A framework which can be quickly and easily employed in a variety of clinical environments is then presented.
诊断错误对临床结果和资源利用都有影响,而且往往可追溯到由于认知偏差的影响而导致的数据收集、处理或综合能力受损。重症/急性护理环境所固有的因素为这类错误的发生提供了更多机会。本文通过我们重症监护病房遇到的一个病例来说明其中的许多情况。在早期发现和改善认知偏差的背景下,对提高急性护理环境中数据收集、处理和综合完整性的策略进行了批判性评估。这些策略包括反思、针对性模拟培训以及在复杂诊断过程中整合社交媒体和基于信息技术的辅助工具。随后提出了一个可在各种临床环境中快速轻松应用的框架。