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Artificial Intelligence and Healthcare: The Impact of Algorithmic Bias on Health Disparities
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Description
This book explores the ethical problems of algorithmic bias and its potential impact on populations that experience health disparities by examining the historical underpinnings of explicit and implicit bias, the influence of the social determinants of health, and the inclusion of racial and ethnic minorities in data. Over the last twenty-five years, the diagnosis and treatment of disease have advanced at breakneck speeds. Currently, we have technologies that have revolutionized the practice of medicine, such as telemedicine, precision medicine, big data, and AI. These technologies, especially AI, promise to improve the quality of patient care, lower health care costs, improve patient treatment outcomes, and decrease patient mortality. AI may also be a tool that reduces health disparities; however, algorithmic bias may impede its success. This book explores the risks of using AI in the context of health disparities. It is of interest to health services researchers,ethicists, policy analysts, social scientists, health disparities researchers, and AI policy makers.
ISBN
978-3-031-48262-5
Publication Date
1-1-2024
Publisher
Springer Cham
City
Switzerland
Keywords
Ethics, Public Health, Health Policy, Social Policy
Disciplines
Health Law and Policy | Law
Recommended Citation
Williams, Natasha H., "Artificial Intelligence and Healthcare: The Impact of Algorithmic Bias on Health Disparities" (2024). Faculty Books. 280.
https://ecommons.luc.edu/facultybooks/280
