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图像医学与生物统计学的局限性

Graphic Medicine and the Limits of Biostatistics.

作者信息

Venkatesan Sathyaraj, Saji Sweetha

机构信息

An associate professor of English in the Department of Humanities and Social Sciences at the National Institute of Technology, Tiruchirappalli, in Tamil Nadu, India, and previously a fellow at the School of Criticism and Theory at Cornell University and is currently an international field bibliographer for the MLA International Bibliography.

A research scholar in the Department of Humanities and Social Sciences at the National Institute of Technology, Tiruchirappalli, in Tamil Nadu, India.

出版信息

AMA J Ethics. 2018 Sep 1;20(9):E897-901. doi: 10.1001/amajethics.2018.897.

Abstract

Increasing reliance on statistics for treatment and clinical risk assessment not only leads to the reductive interpretation of disease but also obscures ambiguities, distrust, and profound emotions that are important parts of a patient's lived experience of illness and that should be regarded as clinically and ethically relevant. Enabling critique of the limitations of statistics and illustrating their hegemonic impact on the patient's experience of illness, graphic medicine emerges as a democratic platform where marginalized perspectives on illness experiences are vindicated. Through a close reading of two carer narratives, (2006) and (2004), we illustrate how graphic pathographies represent experiential features of illness that are obscured by overreliance on statistical data.

摘要

越来越依赖统计数据进行治疗和临床风险评估,不仅会导致对疾病的简化解读,还会掩盖模糊性、不信任感以及深刻情感,而这些都是患者患病生活经历的重要组成部分,且应被视为具有临床和伦理相关性。图解医学对统计数据的局限性进行批判,并展示其对患者患病体验的霸权影响,它作为一个民主平台出现,在这个平台上,对患病经历的边缘化观点得到了认可。通过仔细阅读两篇护理者叙事文章([作者1],2006年;[作者2],2004年),我们阐述了图解病历如何呈现那些因过度依赖统计数据而被掩盖的疾病体验特征。

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