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

Louis Agha-Mir-Salim   ¹ , BMBS ;   Isabelle Rose Alberto   ² , MD ;   Nicole Rose Alberto   ³ , MD ;   Leo Anthony Celi   ⁴ , MD, MSc, MPH ;   Pia Gabrielle Alfonso   ³ , MD ;   Rachel Hicklen   ⁵ , PhD ;   Katelyn Legaspi   ³ , MD ;   Rajiv Hans Menghrajani   ⁶ , MD ;   Faye Yu Ng   ⁷ , MD ;   Patricia Therese Pile   ⁸ , MD ;   Christopher M Sauer   ^{9, 10} , MD, MPH, PhD

¹ Institute of Medical Informatics, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany

² College of Medicine, University of the Philippines Manila, Manila, Philippines

³ Department of Obstetrics and Gynecology, Philippine General Hospital, Manila, Philippines

⁴ Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, MA, United States

⁵ Library, The University of Texas MD Anderson Cancer Center, Houston, TX, United States

⁶ Department of Medicine, Lincoln Medical Center, New York, NY, United States

⁷ Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore

⁸ Department of Medicine, UConn Health, Farmington, CT, United States

⁹ Institute for AI in Medicine, Laboratory for Clinical Research and Real-World Evidence, Essen University Hospital, Essen, Germany

¹⁰ Department of Hematology and Stem Cell Transplantation, Laboratory for Clinical Research and Real-World Evidence, Essen University Hospital, Essen, Germany