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评估临床推理:瞄准金字塔的更高层次。

Assessing Clinical Reasoning: Targeting the Higher Levels of the Pyramid.

机构信息

Division of Medical Education, School of Medical Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK.

Harvard Medical School, Brigham and Women's Hospital, General Internal Medicine, Department of Medicine, Boston, MA, USA.

出版信息

J Gen Intern Med. 2019 Aug;34(8):1631-1636. doi: 10.1007/s11606-019-04953-4.

Abstract

Clinical reasoning is a core component of clinical competency that is used in all patient encounters from simple to complex presentations. It involves synthesis of myriad clinical and investigative data, to generate and prioritize an appropriate differential diagnosis and inform safe and targeted management plans.The literature is rich with proposed methods to teach this critical skill to trainees of all levels. Yet, ensuring that reasoning ability is appropriately assessed across the spectrum of knowledge acquisition to workplace-based clinical performance can be challenging.In this perspective, we first introduce the concepts of illness scripts and dual-process theory that describe the roles of analytic system 1 and non-analytic system 2 reasoning in clinical decision making. Thereafter, we draw upon existing evidence and expert opinion to review a range of methods that allow for effective assessment of clinical reasoning, contextualized within Miller's pyramid of learner assessment. Key assessment strategies that allow teachers to evaluate their learners' clinical reasoning ability are described from the level of knowledge acquisition, through to real-world demonstration in the clinical workplace.

摘要

临床推理是临床能力的核心组成部分,用于处理从简单到复杂表现的所有患者情况。它涉及综合无数的临床和调查数据,以生成和优先考虑适当的鉴别诊断,并为安全和有针对性的管理计划提供信息。文献中提出了许多方法来教授各级学员这一关键技能。然而,确保推理能力在知识获取的各个方面都得到适当评估,从基于工作场所的临床表现到基于工作场所的临床表现,可能具有挑战性。在这篇观点文章中,我们首先介绍了疾病脚本和双加工理论的概念,这些概念描述了分析系统 1 和非分析系统 2 在临床决策中的作用。此后,我们参考了现有的证据和专家意见,综述了一系列方法,这些方法允许在米勒的学习者评估金字塔中,对临床推理进行有效的评估,并将其置于具体的背景中。描述了关键的评估策略,使教师能够评估他们的学习者的临床推理能力,从知识获取的水平,到临床工作场所的现实世界演示。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/98bc/6667569/c7ac8537e0cd/11606_2019_4953_Fig1_HTML.jpg

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