Artificial intelligence in healthcare: transforming patient safety with intelligent systems-A systematic review.

Journal: Frontiers in medicine
Published Date:

Abstract

INTRODUCTION: Adverse events in hospitals significantly compromise patient safety and trust in healthcare systems, with medical errors being a leading cause of death globally. Despite efforts to reduce these errors, reporting remains low, and effective system changes are rare. This systematic review explores the potential of artificial intelligence (AI) in clinical risk management.

Authors

  • Francesco De Micco
    Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Gianmarco Di Palma
    Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Davide Ferorelli
    Interdisciplinary Department of Medicine (DIM), Section of Legal Medicine, University of Bari "Aldo Moro", Bari, Italy.
  • Anna De Benedictis
    Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Luca Tomassini
    International School of Advanced Studies, University of Camerino, Camerino, Italy.
  • Vittoradolfo Tambone
    Research Unit of Bioethics and Humanities, Department of Medicine and Surgery, Università Campus Bio-Medico di Roma, Rome, Italy.
  • Mariano Cingolani
    Department of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.
  • Roberto Scendoni
    Department of Law, Institute of Legal Medicine, University of Macerata, Macerata, Italy.

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