Challenges and Opportunities of Artificial Intelligence in CDSS and Patient Safety.

Journal: Studies in health technology and informatics
Published Date: Aug 22, 2024

Abstract

Ensuring patient safety in healthcare involves training professionals and implementing clinical decision support systems (CDSS) and health IT solutions to reduce errors and adverse events. The integration of artificial intelligence (AI) into health IT has revolutionized clinical settings by enabling real-time insights and personalized recommendations. However, the use of health IT can lead to unintended consequences that are not adequately addressed during training and implementation. These consequences can hinder the maximization of benefits and limit equitable access to healthcare. In this paper, we explore the impact of AI on CDSS and health IT, discuss the challenges in educating clinical informaticians, and aim to promote patient safety through collaboration with practitioners, researchers, and educators.

Authors

  • Yang Gong
    School of Biomedical Informatics, University of Texas Health Science Center, Houston, Texas, USA.
  • Hua Min
    Hua Min, Department of Health Administration and Policy, College of Health and Human Services, George Mason University, MS: 1J3, 4400 University Drive, Fairfax, VA 22030-4444, USA, E-mail: hmin3@gmu.edu.
  • Xia Jing
    Department of Public Health Sciences, College of Behavioral, Social, and Health Sciences, Clemson University, Clemson, SC, USA.
  • Ping Yu
    Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, the Chinese Academy of Sciences (CAS), Beijing 100190, China.

Keywords

External Resources

Popular Topics
Recent Journals