Capers Quinn
Cardiovascular Medicine, The Ohio State University College of Medicine, Columbus, Ohio.
ATS Sch. 2020 Jun 23;1(3):211-217. doi: 10.34197/ats-scholar.2020-0024PS.
In an attempt to help us navigate a complex world, our unconscious minds make certain group associations on the basis of our experiences. Physicians are not immune to these implicit associations or biases, which can lead physicians to unknowingly associate certain demographic groups with negative concepts, like danger, noncompliance, and lower competence. These biases can influence clinical decision making in ways that potentially harm patients and may unfairly influence the medical school, residency, and fellowship application processes for candidates in certain underrepresented groups. To minimize the potential negative impact of implicit biases on patient care and diversity in the medical profession, physician-leaders have a responsibility to understand biases and how to consciously override them. This article discusses the potential impact of implicit bias in health care and student/trainee selection and reviews research-proven tools to reduce implicit bias in one-on-one interactions.
为了帮助我们在复杂的世界中前行,我们的潜意识会根据自身经历做出某些群体关联。医生也难免会有这些隐性关联或偏见,这可能导致医生在不知不觉中将某些人口群体与负面概念联系起来,比如危险、不依从和能力较低。这些偏见会以可能伤害患者的方式影响临床决策,还可能不公平地影响某些代表性不足群体的候选人的医学院、住院医师和专科培训申请过程。为了尽量减少隐性偏见对患者护理和医学专业多样性的潜在负面影响,医生领导者有责任了解偏见以及如何有意识地克服它们。本文讨论了隐性偏见在医疗保健和学生/受训人员选拔中的潜在影响,并回顾了经研究验证的减少一对一互动中隐性偏见的工具。