White paper: requirements for routine data recording in the operating room

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Thomas Schnelldorfer - , Tufts University (Autor:in)
  • Andrew A. Gumbs - , CHI de Poissy-St-Germain-en-Laye (Autor:in)
  • Jennifer Tolkoff - , Tufts Medicine (Autor:in)
  • Sarah Choksi - , Lenox Hill Hospital (Autor:in)
  • Jessica Stockheim - , Otto-von-Guericke-Universität Magdeburg (Autor:in)
  • Amin Madani - , University of Toronto (Autor:in)
  • Carla M. Pugh - , Stanford University (Autor:in)
  • Takeaki Ishizawa - , Osaka Metropolitan University (Autor:in)
  • Stefanie Speidel - , Nationales Centrum für Tumorerkrankungen Dresden (Autor:in)
  • Lee L. Swanström - , Institute of Image-Guided Surgery (Autor:in)
  • Bettina M. Rau - , Klinikum Neumarkt in der Oberpfalz (Autor:in)
  • Amir Szold - , Assuta Medical Center (Autor:in)
  • Fabio Ausania - , Universitat de Barcelona (Autor:in)
  • Filippo Filicori - , Lenox Hill Hospital, Northwell Health System (Autor:in)
  • Roland Croner - , Otto-von-Guericke-Universität Magdeburg (Autor:in)
  • S. Vincent Grasso - , University of New Mexico (Autor:in)

Abstract

This white paper documents the consensus opinion of the authors and Artificial Intelligence Surgery editorial board members regarding common requirements needed to implement routine recording of data in the operating room. The statements were agreed upon by all authors and they attempted to outline common barriers that need to be addressed when implementing such recordings.

Details

OriginalspracheEnglisch
Seiten (von - bis)7-22
Seitenumfang16
FachzeitschriftArtificial Intelligence Surgery
Jahrgang4
Ausgabenummer1
PublikationsstatusVeröffentlicht - März 2024
Peer-Review-StatusJa

Externe IDs

ORCID /0000-0002-4590-1908/work/163294133

Schlagworte

Schlagwörter

  • automated features, cloud-based storage, coding of data, data access, Data recording, deidentification, domain-specific interconnectivity