This paper is in the following e-collection/theme issue:

Methods and Feasibility Studies (451) Surgery, Trauma and Surgical Sciences (202) New Methods (1134) Postoperative Monitoring and Telemonitoring (190) Internet of Things (98) Methods and Instruments in Medical Informatics (189) Artificial Intelligence (2129) Artificial Intelligence in Surgery and Perioperative Medicine (43) mHealth for Health Administration (184) Mobile tools for surgery and perioperative medicine (100)

Published on in Vol 12 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45477, first published .
Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating Room Scheduling: Protocol for a Development and Feasibility Study

Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating Room Scheduling: Protocol for a Development and Feasibility Study

Internet of Things and New Technologies for Tracking Perioperative Patients With an Innovative Model for Operating Room Scheduling: Protocol for a Development and Feasibility Study

Authors of this article:

Eleonora Bottani1 Author Orcid Image ;   Valentina Bellini2 Author Orcid Image ;   Monica Mordonini1 Author Orcid Image ;   Mattia Pellegrino1 Author Orcid Image ;   Gianfranco Lombardo1 Author Orcid Image ;   Beatrice Franchi1 Author Orcid Image ;   Michelangelo Craca2 Author Orcid Image ;   Elena Bignami2 Author Orcid Image
Article Authors Cited by (2) Tweetations (4) Metrics

Journals

  1. Pellegrino M, Lombardo G, Poggi A. Towards Digital Twins in Healthcare: Optimizing Operating Room and Recovery Room Dynamics. Procedia Computer Science 2024;246:4732 View
  2. Nathani K, Machlab L, von Kentzinsky H, Feng E, Jayasuriya N, Nathani A, Ibrahim S, Bhandarkar A, Timm P, Ali R, Tawk R, Freedman B, Bydon M. Optimizing neurosurgical operating room schedule: Integrating machine learning models for operative time prediction and schedule design. Surgical Neurology International 2025;16:395 View