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

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...

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Main Authors: Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-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
Format: Article
Language:English
Published: Wolters Kluwer Health 2024-09-01
Series:Annals of Surgery Open
Online Access:http://journals.lww.com/10.1097/AS9.0000000000000459
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author Alain Garcia Vazquez, MD
Juan Verde, MD
Ariosto Hernandez Lara, MD
Didier Mutter, MD
Lee Swanstrom, MD
5G-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
Didier Mutter, MD
Dirk Willhelm, MD
Pr.Gerald Fried, MD
Gretchen Jackson, MD, PhD
Jean-Paul Mazellier, PhD
Lee Swanstrom, MD
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
author_facet Alain Garcia Vazquez, MD
Juan Verde, MD
Ariosto Hernandez Lara, MD
Didier Mutter, MD
Lee Swanstrom, MD
5G-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
Didier Mutter, MD
Dirk Willhelm, MD
Pr.Gerald Fried, MD
Gretchen Jackson, MD, PhD
Jean-Paul Mazellier, PhD
Lee Swanstrom, MD
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
author_sort Alain Garcia Vazquez, MD
collection DOAJ
description 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.
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spelling doaj-art-e1e22d6b79574bfbbd2e46a702b834452025-01-24T09:18:48ZengWolters Kluwer HealthAnnals of Surgery Open2691-35932024-09-0153e45910.1097/AS9.0000000000000459202409000-00007Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven SurgeryAlain Garcia Vazquez, MD0Juan Verde, MD1Ariosto Hernandez Lara, MD2Didier Mutter, MD3Lee Swanstrom, MD45G-OR Research Committee, 5G-OR Consensus PanelAriosto Hernandez LaraBarbara SeeligerDaniel HashimotoDeepak AlapattJoel LavanchyJuan VerdeLise LecointrePietro MascagniPr.Danail StoyanovDidier Mutter, MDDirk Willhelm, MDPr.Gerald Fried, MDGretchen Jackson, MD, PhDJean-Paul Mazellier, PhDLee Swanstrom, MDPr.Lena Maier-HeinPr.Nicolas Padoy, PhDPr.Sascha Treskatsch, MDPr.Silvana Perretta, MD, PhDPr.Stefanie SpeidelPr.Teodor GrantcharovAnnika Mareike Engel, BSc, MEngAxel Boese, DrIngCarla M. Pugh, MD, PhDCesare HassanFabian Dietrich, PhDFelix Nickel, MD, MMEFranziska Jurosch, MScGuido Beldi, MDHenriette Hegermann, DrJohannes Horsch, Dipl-IngJulian Rosenkranz, Ing, MScKeno Sponheuer, DrMedLuca Milone, MD, PhD, FACSNariaki Okamoto, MD, PhDPatrick Seeling, PhDPedro Filipe Pereira Gouveia, MD, PhDRoland Croner, Prof.DrSandra Keller, PhDSharona B RossTaiga Wakabayashi, MD, Ph.DTakeaki Ishizawa, MD, PhDTakeshi Urade, MD, PhDThomas Schnelldorfer, MD, PhDThorge Lackner, MSc, and MEngFrom the * Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Strasbourg, FranceFrom the * Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Strasbourg, FranceFrom the * Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Strasbourg, France† Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Hôpitaux Universitaires de Strasbourg and IRCAD Strasbourg, Strasbourg, France.From the * Institute of Image Guided Surgery of Strasbourg, IHU Strasbourg, Strasbourg, FranceIntroduction:. 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.http://journals.lww.com/10.1097/AS9.0000000000000459
spellingShingle Alain Garcia Vazquez, MD
Juan Verde, MD
Ariosto Hernandez Lara, MD
Didier Mutter, MD
Lee Swanstrom, MD
5G-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
Didier Mutter, MD
Dirk Willhelm, MD
Pr.Gerald Fried, MD
Gretchen Jackson, MD, PhD
Jean-Paul Mazellier, PhD
Lee Swanstrom, MD
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
Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
Annals of Surgery Open
title Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
title_full Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
title_fullStr Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
title_full_unstemmed Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
title_short Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery
title_sort consensus for operating room multimodal data management identifying research priorities for data driven surgery
url http://journals.lww.com/10.1097/AS9.0000000000000459
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