Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.

Journal: The Milbank quarterly
Published Date:

Abstract

Policy Points Artificial intelligence (AI) is disruptively innovating health care and surpassing our ability to define its boundaries and roles in health care and regulate its application in legal and ethical ways. Significant progress has been made in governance in the United States and the European Union. It is incumbent on developers, end users, the public, providers, health care systems, and policymakers to collaboratively ensure that we adopt a national AI health strategy that realizes the Quintuple Aim; minimizes race-based medicine; prioritizes transparency, equity, and algorithmic vigilance; and integrates the patient and community voices throughout all aspects of AI development and deployment.

Authors

  • Thelma C Hurd
    Institute on Health Disparities, Equity, and the Exposome, Meharry Medical College.
  • Fay Cobb Payton
    School of Arts and Sciences, Rutgers University-Newark.
  • Darryl B Hood
    College of Public Health, The Ohio State University.