Shimizu Taro
Dokkyo Medical University Hospital, Kitakobayashi 880, Mibu, Tochigi, 321-0297, Japan.
Diagnosis (Berl). 2021 Apr 23. doi: 10.1515/dx-2020-0126.
Diagnostic errors are an internationally recognized patient safety concern, and leading causes are faulty data gathering and faulty information processing. Obtaining a full and accurate history from the patient is the foundation for timely and accurate diagnosis. A key concept underlying ideal history acquisition is "history clarification," meaning that the history is clarified to be depicted as clearly as a video, with the chronology being accurately reproduced. A novel approach is presented to improve history-taking, involving six dimensions: Courtesy, Control, Compassion, Curiosity, Clear mind, and Concentration, the '6 C's'. We report a case that illustrates how the 6C approach can improve diagnosis, especially in relation to artificial intelligence tools that assist with differential diagnosis.
诊断错误是一个国际公认的患者安全问题，其主要原因是数据收集错误和信息处理错误。从患者那里获取完整准确的病史是及时准确诊断的基础。理想病史采集背后的一个关键概念是“病史澄清”，即病史要被澄清得像视频一样清晰，时间顺序要被准确再现。本文提出了一种新颖的方法来改善病史采集，该方法涉及六个维度：礼貌（Courtesy）、掌控（Control）、同情（Compassion）、好奇（Curiosity）、清醒的头脑（Clear mind）和专注（Concentration），即“6C”。我们报告了一个案例，该案例说明了6C方法如何能够改善诊断，特别是在辅助鉴别诊断的人工智能工具方面。
