Hello Informs,We have extended our deadline for the Health Care Management Science special issue on Analytical Fairness to June 30th 2022.We define analytical fairness as addressing and correcting bias and potential inequities resulting from the use of decision support systems, machine learning tools, and other analytical approaches in the health care setting. The focus of this special issue is, therefore, to examine new approaches that combine operational and fairness perspectives, in addition to revisiting our past methods through the lens of fairness, thereby reimagining the health care analytics of the twenty-first century. Topics of interest include, but are not limited to:
- Innovative approaches to classic OM problems in health care (e.g., scheduling, resource optimization) where health equity is central to the model development.
- A critical review of a classical OM approach or methodology through the lens of fairness and equity with concrete and demonstrated approaches for improvement.
- Translational studies of advances in machine learning fairness to the health care domain.
- Empirical studies that assess evidence of analytical fairness or bias in health care settings.
- Development of metrics for quantifying inequity and/or bias in health care.
Papers can be submitted at any time prior to June 30th, 2022,
Best regards,
Margret Bjarnadottir, David Anderson, Joel Goh, Swati Gupta, Donald Lee, & Aurilie Thiele
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Margret Bjarnadottir
Associate Professor of Management Science and Statistics
University of Maryland
College Park MD
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