Big Data Analytics and the Struggle for Equity in Health Care: The Promise and Perils

Said A. Ibrahim, Mary E. Charlson, Daniel B. Neill

Research output: Contribution to journalReview article

Abstract

Big 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.

Original languageEnglish (US)
Pages (from-to)99-101
Number of pages3
JournalHealth Equity
Volume4
Issue number1
DOIs
StatePublished - Apr 1 2020

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Keywords

  • algorithmic decision-making
  • biases
  • big data analytics
  • health care disparities
  • health care innovation
  • inequities

ASJC Scopus subject areas

  • Health Policy
  • Public Health, Environmental and Occupational Health
  • Health(social science)
  • Health Information Management

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