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Published on: May 31, 2017
Graphic Medicine and the Limits of Biostatistics
Sathyaraj Venkatesan1, Sweetha Saji2
1An 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.
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, Mom's Cancer (2006) and Janet & Me: An Illustrated Story of Love and Loss (2004), we illustrate how graphic pathographies represent experiential features of illness that are obscured by overreliance on statistical data.
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