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Journal Articles Sensors Year : 2019

Tracking Clinical Staff Behaviors in an Operating Room

Abstract

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.
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Dates and versions

lirmm-02135226 , version 1 (17-01-2020)

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Christine Azevedo Coste, Roger Pissard-Gibollet, Gaelle Toupet, Eric Fleury, Jean-Christophe Lucet, et al.. Tracking Clinical Staff Behaviors in an Operating Room. Sensors, 2019, 19 (10), pp.1-14. ⟨10.3390/s19102287⟩. ⟨lirmm-02135226⟩
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