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Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery

Authors :
Alain Garcia Vazquez, MD
Juan Verde, MD
Ariosto Hernandez Lara, MD
Didier Mutter, MD
Lee Swanstrom, MD
G-OR Research Committee, 5G-OR Consensus Panel
Ariosto Hernandez Lara
Barbara Seeliger
Daniel Hashimoto
Deepak Alapatt
Joel Lavanchy
Juan Verde
Lise Lecointre
Pietro Mascagni
Pr.Danail Stoyanov
Dirk Willhelm, MD
Pr.Gerald Fried, MD
Gretchen Jackson, MD, PhD
Jean-Paul Mazellier, PhD
Pr.Lena Maier-Hein
Pr.Nicolas Padoy, PhD
Pr.Sascha Treskatsch, MD
Pr.Silvana Perretta, MD, PhD
Pr.Stefanie Speidel
Pr.Teodor Grantcharov
Annika Mareike Engel, BSc, MEng
Axel Boese, DrIng
Carla M. Pugh, MD, PhD
Cesare Hassan
Fabian Dietrich, PhD
Felix Nickel, MD, MME
Franziska Jurosch, MSc
Guido Beldi, MD
Henriette Hegermann, Dr
Johannes Horsch, Dipl-Ing
Julian Rosenkranz, Ing, MSc
Keno Sponheuer, DrMed
Luca Milone, MD, PhD, FACS
Nariaki Okamoto, MD, PhD
Patrick Seeling, PhD
Pedro Filipe Pereira Gouveia, MD, PhD
Roland Croner, Prof.Dr
Sandra Keller, PhD
Sharona B Ross
Taiga Wakabayashi, MD, Ph.D
Takeaki Ishizawa, MD, PhD
Takeshi Urade, MD, PhD
Thomas Schnelldorfer, MD, PhD
Thorge Lackner, MSc, and MEng
Source :
Annals of Surgery Open, Vol 5, Iss 3, p e459 (2024)
Publication Year :
2024
Publisher :
Wolters Kluwer Health, 2024.

Abstract

Introduction:. This study aimed to identify research areas that demand attention in multimodal data-driven surgery for improving data management in minimally invasive surgery. Background:. New surgical procedures, high-tech equipment, and digital tools are increasingly being introduced, potentially benefiting patients and surgical teams. These innovations have resulted in operating rooms evolving into data-rich environments, which, in turn, requires a thorough understanding of the data pipeline for improved and more intelligent real-time data usage. As this new domain is vast, it is necessary to identify where efforts should be focused on developing seamless and practical data usage. Methods:. A modified electronic Delphi approach was used; 53 investigators were divided into the following groups: a research group (n=9) for problem identification and a narrative literature review, a medical and technical expert group (n=14) for validation, and an invited panel (n=30) for two electronic survey rounds. Round 1 focused on a consensus regarding bottlenecks in surgical data science areas and research gaps, while round 2 prioritized the statements from round 1, and a roadmap was created based on the identified essential and very important research gaps. Results:. Consensus panelists have identified key research areas, including digitizing operating room (OR) activities, improving data streaming through advanced technologies, uniform protocols for handling multimodal data, and integrating AI for efficiency and safety. The roadmap prioritizes standardizing OR data formats, integrating OR data with patient information, ensuring regulatory compliance, standardizing surgical AI models, and securing data transfers in the next generation of wireless networks. Conclusions:. This work is an international expert consensus regarding the current issues and key research targets in the promising field of data-driven surgery, highlighting the research needs of many operating room stakeholders with the aim of facilitating the implementation of novel patient care strategies in minimally invasive surgery.

Subjects

Subjects :
Surgery
RD1-811

Details

Language :
English
ISSN :
26913593 and 00000000
Volume :
5
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Annals of Surgery Open
Publication Type :
Academic Journal
Accession number :
edsdoj.1e22d6b79574bfbbd2e46a702b83445
Document Type :
article
Full Text :
https://doi.org/10.1097/AS9.0000000000000459