The SmartOR: a distributed sensor network to improve operating room efficiency

Huang, Albert Y.; Joerger, Guillaume; Fikfak, Vid; Salmon, R; Dunkin, Brian J.; Bass, Barbara L.; Garbey, Marc

doi:10.1007/s00464-016-5390-z

Cited by 16 publications

(20 citation statements)

References 8 publications

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“…The importance of a notification can be different according to the moment: the board will notify the staff in a more invasive way that an OR is not ready to receive a patient right before this patient should actually enter the OR rather than an hour before. While we have sufficient user feedback and measurements [21][22][23][24] to claim that our system has the potential to improve the first two goals, we still have to incorporate the patient in our study. Patients' and families' engagement is a transformative force in the health industry, and insurance policy in the United States now has a component strictly dependent upon patient satisfaction that will keep growing in importance in the near future [32].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Continuum of Interfaces to Engage Surgical Staff in Efficient Collaboration

et al. 2019

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Large hospital surgical suites must combine high quality of care with an efficient management of operations. However, the diversity of procedures, staff, and patients present important challenges for staff collaboration. The complexity of flows between tasks and places, such as interconnections between pre-operation, postoperation and intensive care units, led previous research to address these issues separately using checklists, scheduling, or specialized human-computer interfaces. Approaches to treat the surgical suite as a whole entity have not been explored yet. Here, we build upon a cyber-physical system comprising an electronic whiteboard and different sensors tracking the status of operating rooms to design a continuum of mobile and fixed, shared computer interfaces. The interfaces disseminate the information through different locations and devices and allow for its manipulation in order to foster appropriate collaboration on unforeseen events and decisions. We present our design rationale process, involving the different surgical suite users and stakeholders and report on the architecture of the system.

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Section: Conclusion and Discussionmentioning

confidence: 99%

A Continuum of Interfaces to Engage Surgical Staff in Efficient Collaboration

et al. 2019

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“…To expand the study, this simplified air quality model was then coupled to the ABM of surgical flow that reproduces the daily activity of a large surgical suite over a long period of time [30]. The model was calibrated using custom-made sensor systems placed at key locations of the surgical suite to capture the daily activity over a period of a year [28]. This OR suite, dedicated to general surgery, has about 20 ORs distributed in a layout as seen in Figure 13 and is rather typical of the activity in a large urban hospital.…”

Section: Clinical Agent-based Model Of Hazardous Airborne Particlesmentioning

confidence: 99%

“…To this end, several ORs were equipped with sensors that capture timestamps [27,28,43] corresponding to the different states described in the previous section.…”

Section: Clinical Model Of Airborne Hazard and Integration Of Human Bmentioning

confidence: 99%

“…We present in this paper a mathematical framework and experimental protocol to assess the transport and diffusion of hazardous airborne particles in any large OR suite. Human behavior factors are taken into account by using a systems and cyber-infrastructure approach [27][28][29] coupled to a multi-scale modeling of surgical flow in a large OR suite [30]. Overall, the model estimates staff's exposure to airborne contamination, such as surgical smoke or biological hazard.…”

Section: Introductionmentioning

confidence: 99%

“…Deposition rate of these particles is not addressed in this paper and researchers are still debating about lifetime on surface of the SARS-CoV-2 virus.A method to construct a surgical-suite-specific model of the transport-diffusion of airborne particles can quickly be calibrated with cost-effective wireless particle counters. Coupling this indoor quality model to the previous multi-scale model of surgical flow[27][28][29] allows quantification of surgical smoke exposure across long periods of time and provides a rationale for recommendations. As a matter of fact, the ABM of surgical workflow allows insight into the human behavior factor, which can be included in the analysis.…”

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confidence: 99%

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

Garbey

Joerger²,

Furr³

2020

Preprint

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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 3-6 feet, 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.

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