Technological Solutions to Improve Inpatient Handover in the Era of Artificial Intelligence: Scoping Review.

Journal: Journal of medical Internet research
Published Date: Jul 31, 2025

Abstract

BACKGROUND: Clinical care globally faces increasing strain due to escalating documentation demands. Simultaneously, technological solutions for clinical workflows, particularly inpatient handovers, are being developed to alleviate workforce stress. However, the maturity, adoption scale, and impact of these technologies on clinical practice remain unclear.

Authors

  • Louis Agha-Mir-Salim
    Institute of Medical Informatics, Charité - Universitätsmedizin Berlin, Germany.
  • Isabelle Rose Alberto
    College of Medicine, University of the Philippines Manila, Manila, Philippines.
  • Nicole Rose Alberto
    Department of Obstetrics and Gynecology, Philippine General Hospital, Manila, Philippines.
  • Leo Anthony Celi
    Massachusetts Institute of Technology, Cambridge, MA, USA.
  • Pia Gabrielle Alfonso
    Department of Obstetrics and Gynecology, Philippine General Hospital, Manila, Philippines.
  • Rachel Hicklen
    Library, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
  • Katelyn Legaspi
    Department of Obstetrics and Gynecology, Philippine General Hospital, Manila, Philippines.
  • Rajiv Hans Menghrajani
    Department of Medicine, Lincoln Medical Center, New York, NY, United States.
  • Faye Yu Ng
    Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
  • Patricia Therese Pile
    Department of Medicine, UConn Health, Farmington, CT, United States.
  • Christopher M Sauer
    Department of Intensive Care Medicine, Laboratory for Critical Care Computational Intelligence (LCCI), Amsterdam Medical Data Science (AMDS), Amsterdam Cardiovascular Science (ACS), Amsterdam Institute for Infection and Immunity (AII), Amsterdam UMC, Vrije Universiteit, Amsterdam, The Netherlands.

Keywords

External Resources

Popular Topics
Recent Journals