Using artificial intelligence to improve pain assessment and pain management: a scoping review.

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 36458955

Abstract

CONTEXT: Over 20% of US adults report they experience pain on most days or every day. Uncontrolled pain has led to increased healthcare utilization, hospitalization, emergency visits, and financial burden. Recognizing, assessing, understanding, and treating pain using artificial intelligence (AI) approaches may improve patient outcomes and healthcare resource utilization. A comprehensive synthesis of the current use and outcomes of AI-based interventions focused on pain assessment and management will guide the development of future research.

Authors

  • Meina Zhang
    College of Nursing, University of Iowa, Iowa City, Iowa, USA.
  • Linzee Zhu
    College of Nursing, University of Iowa, Iowa City, Iowa, USA.
  • Shih-Yin Lin
    New York University Rory Meyers College of Nursing, New York, New York, United States.
  • Keela Herr
    College of Nursing, University of Iowa, Iowa City, Iowa, USA.
  • Chih-Lin Chi
    University of Minnesota School of Nursing, Minneapolis, MN, USA.
  • Ibrahim Demir
    Department of Civil and Environmental Engineering, University of Iowa, Iowa City, USA.
  • Karen Dunn Lopez
    College of Nursing, University of Iowa, Iowa City, Iowa, USA.
  • Nai-Ching Chi
    College of Nursing, University of Iowa, Iowa City, Iowa, United States.

Keywords

External Resources

Popular Topics
Recent Journals