• Said A Ibrahim, Mary E Charlson, and Daniel B Neill.
• Division of Healthcare Delivery Science & Innovation, Weill Cornell Medicine, New York, New York.
• Health Equity. 2020 Jan 1; 4 (1): 99-101.

AbstractBig data is both a product and a function of technology and the ever-growing analytic and computational power. The potential impact of big data in health care innovation cannot be ignored. The technology-mediated transformative potential of big data is taking place within the context of historical inequities in health and health care. Although big data analytics, properly applied, hold great potential to target inequities and reduce disparities, we believe that the realization of this potential requires us to explicitly address concerns of fairness, equity, and transparency in the development of big data tools. To mitigate potential sources of bias and inequity in algorithmic decision-making, a multipronged and interdisciplinary approach is required, combining insights from data scientists and domain experts to design algorithmic decision-making approaches that explicitly account and correct for these issues.© Said A. Ibrahim et al. 2020; Published by Mary Ann Liebert, Inc.

5 keywords...

hide…