Assessing the Economic Value of Clinical Artificial Intelligence: Challenges and Opportunities.

Journal: Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research
PMID: 35227443

Abstract

OBJECTIVES: Clinical artificial intelligence (AI) is a novel technology, and few economic evaluations have focused on it to date. Before its wider implementation, it is important to highlight the aspects of AI that challenge traditional health technology assessment methods.

Authors

  • Nathaniel Hendrix
    Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: nhendrix@hsph.harvard.edu.
  • David L Veenstra
    The Comparative Health Outcomes, Policy & Economics (CHOICE) Institute, University of Washington, Seattle, WA, USA.
  • Mindy Cheng
    Global Access and Health Economics, Roche Molecular Systems, Inc, Pleasanton, CA, USA.
  • Nicholas C Anderson
    N C Anderson Consulting, Highland, UT, USA.
  • Stéphane Verguet
    Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

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