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Open AccessArticle

Tracking Clinical Staff Behaviors in an Operating Room

1
Institut National de Recherche en Informatique et en Automatique (INRIA), Université de Montpellier, 34095 Montpellier, France
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Institut National de Recherche en Informatique et en Automatique (INRIA), Grenoble Rhône-Alpes, 38330 Montbonnot, France
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APHP Bichat University Hospital, Infection Control Unit, 75018 Paris, France
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Institute for Medical Research (INSERM), Infection Antimicrobials Modelling Evolution laboratory (IAME UMR 1137), 75018 Paris, France
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Universities Paris Diderot, Infection Antimicrobials Modelling Evolution laboratory (IAME UMR 1137), Sorbonne Paris Cité, 75018 Paris, France
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(10), 2287; https://doi.org/10.3390/s19102287
Received: 16 April 2019 / Revised: 7 May 2019 / Accepted: 13 May 2019 / Published: 17 May 2019
(This article belongs to the Section Physical Sensors)
Inadequate staff behaviors in an operating room (OR) may lead to environmental contamination and increase the risk of surgical site infection. In order to assess this statement objectively, we have developed an approach to analyze OR staff behaviors using a motion tracking system. The present article introduces a solution for the assessment of individual displacements in the OR by: (1) detecting human presence and quantifying movements using a motion capture (MOCAP) system and (2) observing doors’ movements by means of a wireless network of inertial sensors fixed on the doors and synchronized with the MOCAP system. The system was used in eight health care facilities sites during 30 cardiac and orthopedic surgery interventions. A total of 119 h of data were recorded and analyzed. Three hundred thirty four individual displacements were reconstructed. On average, only 10.6% individual positions could not be reconstructed and were considered undetermined, i.e., the presence in the room of the corresponding staff member could not be determined. The article presents the hardware and software developed together with the obtained reconstruction performances. View Full-Text
Keywords: human behavior analysis; operating room displacements; motion capture; sensor network human behavior analysis; operating room displacements; motion capture; sensor network
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Azevedo-Coste, C.; Pissard-Gibollet, R.; Toupet, G.; Fleury, É.; Lucet, J.-C.; Birgand, G. Tracking Clinical Staff Behaviors in an Operating Room. Sensors 2019, 19, 2287.

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