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Book: Computational surgery and dual training

Garbey, Marc

2010

Author's details	Marc Garbey ... ed
Language	English
Size	XVI, 315 S. : zahlr. Ill., graph. Darst., 235 mm x 155 mm
Publisher	Springer Science+Business Media
Publishing place	New York u.a.
Publishing country	United States
Document type	Book
HBZ-ID	HT016609361
ISBN	978-1-441-91122-3 ; 9781441911230 ; 1-441-91122-7 ; 1441911235
Database	Catalogue ZB MED Medicine, Health

In stock of ZB MED Cologne/Königswinter

Shelf mark	Loan status	Location
2010 A 6168	order for loan	Magazin

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Article ; Online: A model of workflow in the hospital during a pandemic to assist management.

Garbey, Marc / Joerger, Guillaume / Furr, Shannon / Fikfak, Vid

PloS one

2020 Volume 15, Issue 11, Page(s) e0242183

Abstract: We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to ... ...

Abstract	We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France's data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic.
MeSH term(s)	Computer Simulation ; Hospital Administration/methods ; Hospitalization/statistics & numerical data ; Humans ; Pandemics ; Workflow
Language	English
Publishing date	2020-11-30
Publishing country	United States
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ISSN	1932-6203
ISSN (online)	1932-6203
DOI	10.1371/journal.pone.0242183
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Gastroenterology Procedures Generate Aerosols: An Air Quality Turnover Solution to Mitigate COVID-19's Propagation Risk.

Garbey, Marc / Joerger, Guillaume / Furr, Shannon

International journal of environmental research and public health

2020 Volume 17, Issue 23

Abstract: The growing fear of virus transmission during the 2019 coronavirus disease (COVID-19) pandemic has called for many scientists to look into the various vehicles of infection, including the potential to travel through aerosols. Few have looked into the ... ...

Abstract	The growing fear of virus transmission during the 2019 coronavirus disease (COVID-19) pandemic has called for many scientists to look into the various vehicles of infection, including the potential to travel through aerosols. Few have looked into the issue that gastrointestinal (GI) procedures may produce an abundance of aerosols. The current process of risk management for clinics is to follow a clinic-specific HVAC formula, which is typically calculated once a year and assumes perfect mixing of the air within the space, to determine how many minutes each procedural room refreshes 99% of its air between procedures when doors are closed. This formula is not designed to fit the complex dynamic of small airborne particle transport and deposition that can potentially carry the virus in clinical conditions. It results in reduced procedure throughput as well as an excess of idle time in clinics that process a large number of short procedures such as outpatient GI centers. We present and tested a new cyber-physical system that continuously monitors airborne particle counts in procedural rooms and also at the same time automatically monitors the procedural rooms' state and flexible endoscope status without interfering with the clinic's workflow. We use our data gathered from over 1500 GI cases in one clinical suite to understand the correlation between air quality and standard procedure types as well as identify the risks involved with any HVAC system in a clinical suite environment. Thanks to this system, we demonstrate that standard GI procedures generate large quantities of aerosols, which can potentially promote viral airborne transmission among patients and healthcare staff. We provide a solution for the clinic to improve procedure turnover times and throughput, as well as to mitigate the risk of airborne transmission of the virus.
MeSH term(s)	Aerosols ; Air Microbiology ; Air Pollution ; COVID-19/prevention & control ; COVID-19/transmission ; Gastroenterology/methods ; Humans ; Infection Control/methods ; Pandemics ; Ventilation
Chemical Substances	Aerosols
Language	English
Publishing date	2020-11-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph17238780
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Systems Approach to Assess Transport and Diffusion of Hazardous Airborne Particles in a Large Surgical Suite: Potential Impacts on Viral Airborne Transmission.

Garbey, Marc / Joerger, Guillaume / Furr, Shannon

International journal of environmental research and public health

2020 Volume 17, Issue 15

Abstract: Airborne transmission of viruses, such as the coronavirus 2 (SARS-CoV-2), in hospital systems are under debate: it has been shown that transmission of SARS-CoV-2 virus goes beyond droplet dynamics that is limited to 1 to 2 m, but it is unclear if the ... ...

Abstract	Airborne transmission of viruses, such as the coronavirus 2 (SARS-CoV-2), in hospital systems are under debate: it has been shown that transmission of SARS-CoV-2 virus goes beyond droplet dynamics that is limited to 1 to 2 m, but it is unclear if the airborne viral load is significant enough to ensure transmission of the disease. Surgical smoke can act as a carrier for tissue particles, viruses, and bacteria. To quantify airborne transmission from a physical point of view, we consider surgical smoke produced by thermal destruction of tissue during the use of electrosurgical instruments as a marker of airborne particle diffusion-transportation. Surgical smoke plumes are also known to be dangerous for human health, especially to surgical staff who receive long-term exposure over the years. There are limited quantified metrics reported on long-term effects of surgical smoke on staff's health. The purpose of this paper is to provide a mathematical framework and experimental protocol to assess the transport and diffusion of hazardous airborne particles in every large operating room suite. Measurements from a network of air quality sensors gathered during a clinical study provide validation for the main part of the model. Overall, the model estimates staff exposure to airborne contamination from surgical smoke and biological material. To address the clinical implication over a long period of time, the systems approach is built upon previous work on multi-scale modeling of surgical flow in a large operating room suite and takes into account human behavior factors.
MeSH term(s)	Air Microbiology ; Air Movements ; Air Pollution ; Betacoronavirus ; COVID-19 ; Coronavirus Infections/transmission ; Diffusion ; Humans ; Hydrodynamics ; Models, Theoretical ; Operating Rooms ; Pandemics ; Particulate Matter ; Pneumonia, Viral/transmission ; SARS-CoV-2 ; Smoke/analysis ; Systems Analysis
Chemical Substances	Particulate Matter ; Smoke
Keywords	covid19
Language	English
Publishing date	2020-07-27
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2175195-X
ISSN	1660-4601 ; 1661-7827
ISSN (online)	1660-4601
ISSN	1661-7827
DOI	10.3390/ijerph17155404
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Eye Segmentation Method for Telehealth: Application to the Myasthenia Gravis Physical Examination.

Lesport, Quentin / Joerger, Guillaume / Kaminski, Henry J / Girma, Helen / McNett, Sienna / Abu-Rub, Mohammad / Garbey, Marc

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 18

Abstract: Due to the precautions put in place during the COVID-19 pandemic, utilization of telemedicine has increased quickly for patient care and clinical trials. Unfortunately, teleconsultation is closer to a video conference than a medical consultation, with ... ...

Abstract	Due to the precautions put in place during the COVID-19 pandemic, utilization of telemedicine has increased quickly for patient care and clinical trials. Unfortunately, teleconsultation is closer to a video conference than a medical consultation, with the current solutions setting the patient and doctor into an evaluation that relies entirely on a two-dimensional view of each other. We are developing a patented telehealth platform that assists with diagnostic testing of ocular manifestations of myasthenia gravis. We present a hybrid algorithm combining deep learning with computer vision to give quantitative metrics of ptosis and ocular muscle fatigue leading to eyelid droop and diplopia. The method works both on a fixed image and frame by frame of the video in real-time, allowing capture of dynamic muscular weakness during the examination. We then use signal processing and filtering to derive robust metrics of ptosis and l ocular misalignment. In our construction, we have prioritized the robustness of the method versus accuracy obtained in controlled conditions in order to provide a method that can operate in standard telehealth conditions. The approach is general and can be applied to many disorders of ocular motility and ptosis.
MeSH term(s)	Humans ; Pandemics ; COVID-19/diagnosis ; Myasthenia Gravis/diagnosis ; Telemedicine ; Physical Examination
Language	English
Publishing date	2023-09-07
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23187744
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: A Digital Telehealth System to Compute the Myasthenia Gravis Core Examination Metrics.

Garbey, Marc / Joerger, Guillaume / Lesport, Quentin / Girma, Helen / McNett, Sienna / Abu-Rub, Mohammad / Kaminski, Henry

JMIR neurotechnology

2023 Volume 2

Abstract: Background: Telemedicine practice for neurological diseases has grown significantly during the COVID-19 pandemic.Telemedicine offers an opportunity to assess digitalization of examinations and enhances access to modern computer vision and artificial ... ...

Abstract	Background: Telemedicine practice for neurological diseases has grown significantly during the COVID-19 pandemic.Telemedicine offers an opportunity to assess digitalization of examinations and enhances access to modern computer vision and artificial intelligence processing to annotate and quantify examinations in a consistent and reproducible manner. The Myasthenia Gravis Core Examination (MG-CE) has been recommended for the telemedicine evaluation of patients with myasthenia gravis. Objective: We aimed to assess the ability to take accurate and robust measurements during the examination, which would allow improvement in workflow efficiency by making the data acquisition and analytics fully automatic and thereby limit the potential for observation bias. Methods: We used Zoom (Zoom Video Communications) videos of patients with myasthenia gravis undergoing the MG-CE. The core examination tests required 2 broad categories of processing. First, computer vision algorithms were used to analyze videos with a focus on eye or body motions. Second, for the assessment of examinations involving vocalization, a different category of signal processing methods was required. In this way, we provide an algorithm toolbox to assist clinicians with the MG-CE. We used a data set of 6 patients recorded during 2 sessions. Results: Digitalization and control of quality of the core examination are advantageous and let the medical examiner concentrate on the patient instead of managing the logistics of the test. This approach showed the possibility of standardized data acquisition during telehealth sessions and provided real-time feedback on the quality of the metrics the medical doctor is assessing. Overall, our new telehealth platform showed submillimeter accuracy for ptosis and eye motion. In addition, the method showed good results in monitoring muscle weakness, demonstrating that continuous analysis is likely superior to pre-exercise and post-exercise subjective assessment. Conclusions: We demonstrated the ability to objectively quantitate the MG-CE. Our results indicate that the MG-CE should be revisited to consider some of the new metrics that our algorithm identified. We provide a proof of concept involving the MG-CE, but the method and tools developed can be applied to many neurological disorders and have great potential to improve clinical care.
Language	English
Publishing date	2023-04-19
Publishing country	Canada
Document type	Journal Article
ISSN	2817-092X
ISSN (online)	2817-092X
DOI	10.2196/43387
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Book: Computational surgery and dual training

Garbey, Marc

computing, robotics and imaging

2014

Author's details	Marc Garbey ... (eds.)
MeSH term(s)	Computer Simulation ; Diagnostic Imaging ; Models, Biological ; Robotics ; Surgery, Computer-Assisted/methods
Keywords	Surgery/Computer simulation ; Surgery/Data processing ; Surgery/Study and teaching
Language	English
Size	XII, 394 S., Ill., graph. Darst
Publisher	Springer
Publishing place	New York, NY u.a.
Document type	Book
Note	Literaturangaben
ISBN	9781461486473 ; 9781461486480 ; 1461486475 ; 1461486483
Database	Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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Article ; Online: A model of workflow in the hospital during a pandemic to assist management.

Marc Garbey / Guillaume Joerger / Shannon Furr / Vid Fikfak

PLoS ONE, Vol 15, Iss 11, p e

2020 Volume 0242183

Abstract	We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France's data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic.
Keywords	Medicine ; R ; Science ; Q
Language	English
Publishing date	2020-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Inter-library loan at ZB MED

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Article ; Online: Gastroenterology Procedures Generate Aerosols

Marc Garbey / Guillaume Joerger / Shannon Furr

International Journal of Environmental Research and Public Health, Vol 17, Iss 8780, p

An Air Quality Turnover Solution to Mitigate COVID-19’s Propagation Risk

2020 Volume 8780

Abstract	The growing fear of virus transmission during the 2019 coronavirus disease (COVID-19) pandemic has called for many scientists to look into the various vehicles of infection, including the potential to travel through aerosols. Few have looked into the issue that gastrointestinal (GI) procedures may produce an abundance of aerosols. The current process of risk management for clinics is to follow a clinic-specific HVAC formula, which is typically calculated once a year and assumes perfect mixing of the air within the space, to determine how many minutes each procedural room refreshes <math display="inline"><semantics><mrow><mn>99</mn><mo>%</mo></mrow></semantics></math> of its air between procedures when doors are closed. This formula is not designed to fit the complex dynamic of small airborne particle transport and deposition that can potentially carry the virus in clinical conditions. It results in reduced procedure throughput as well as an excess of idle time in clinics that process a large number of short procedures such as outpatient GI centers. We present and tested a new cyber-physical system that continuously monitors airborne particle counts in procedural rooms and also at the same time automatically monitors the procedural rooms’ state and flexible endoscope status without interfering with the clinic’s workflow. We use our data gathered from over 1500 GI cases in one clinical suite to understand the correlation between air quality and standard procedure types as well as identify the risks involved with any HVAC system in a clinical suite environment. Thanks to this system, we demonstrate that standard GI procedures generate large quantities of aerosols, which can potentially promote viral airborne transmission among patients and healthcare staff. We provide a solution for the clinic to improve procedure turnover times and throughput, as well as to mitigate the risk of airborne transmission of the virus.
Keywords	cyber-physical system ; gastroenterology ; pandemic ; COVID-19 ; airborne disease ; airborne particles ; Medicine ; R
Subject code	600
Language	English
Publishing date	2020-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

Inter-library loan at ZB MED

Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

Article ; Online: A Systems Approach to Assess Transport and Diffusion of Hazardous Airborne Particles in a Large Surgical Suite

Marc Garbey / Guillaume Joerger / Shannon Furr

International Journal of Environmental Research and Public Health, Vol 17, Iss 5404, p

Potential Impacts on Viral Airborne Transmission

2020 Volume 5404

Abstract	Airborne transmission of viruses, such as the coronavirus 2 (SARS-CoV-2), in hospital systems are under debate: it has been shown that transmission of SARS-CoV-2 virus goes beyond droplet dynamics that is limited to 1 to 2 m, but it is unclear if the airborne viral load is significant enough to ensure transmission of the disease. Surgical smoke can act as a carrier for tissue particles, viruses, and bacteria. To quantify airborne transmission from a physical point of view, we consider surgical smoke produced by thermal destruction of tissue during the use of electrosurgical instruments as a marker of airborne particle diffusion-transportation. Surgical smoke plumes are also known to be dangerous for human health, especially to surgical staff who receive long-term exposure over the years. There are limited quantified metrics reported on long-term effects of surgical smoke on staff’s health. The purpose of this paper is to provide a mathematical framework and experimental protocol to assess the transport and diffusion of hazardous airborne particles in every large operating room suite. Measurements from a network of air quality sensors gathered during a clinical study provide validation for the main part of the model. Overall, the model estimates staff exposure to airborne contamination from surgical smoke and biological material. To address the clinical implication over a long period of time, the systems approach is built upon previous work on multi-scale modeling of surgical flow in a large operating room suite and takes into account human behavior factors.
Keywords	airborne virus ; COVID-19 ; particle transport ; surgical suite ; multi-scale model ; surgical smoke ; Medicine ; R ; covid19
Subject code	333
Language	English
Publishing date	2020-07-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

Full text online

Full text

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