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Related Concept Videos

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A sensor-based framework for layout and workflow assessment in operating rooms.

Marian Obuseh1, Lora Cavuoto2, Dimitrios Stefanidis3

  • 1School of Industrial Engineering, Purdue University, West Lafayette, IN, 47907, USA.

Applied Ergonomics
|June 13, 2023
PubMed
Summary
This summary is machine-generated.

Integrating robotic technologies into operating rooms (OR) presents workflow challenges. This study developed a sensor framework to identify inefficiencies, revealing avoidable movements and congestion in robotic-assisted surgeries (RAS).

Keywords:
Operating room layoutPersonnel workflowRobotic-assisted surgery

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Area of Science:

  • Robotics in Surgery
  • Operating Room Workflow Optimization
  • Human-Machine Interaction

Background:

  • Integrating large robotic systems into existing operating rooms (OR) poses significant challenges to personnel workflows.
  • Robotic-assisted surgeries (RAS) introduce complexities that require careful consideration of OR layout and human-machine-environment interactions.

Purpose of the Study:

  • To develop and validate an ultra-wideband sensor-based framework for assessing OR layout and workflow dynamics.
  • To identify specific inefficiencies and challenges associated with integrating robotic technologies in the OR.
  • To provide evidence-based recommendations for optimizing RAS OR environments.

Main Methods:

  • Development of an ultra-wideband sensor-based human-machine-environment framework.
  • Assessment of 12 robotic-assisted surgeries (RAS) across 4 surgical specialties.
  • Analysis of personnel movement, OR congestion, and proximity during RAS phases.

Main Results:

  • The circulating nurse covers at least twice the distance of other personnel before robot docking, indicating avoidable movement.
  • Identified specific OR areas of congestion and undesirable personnel proximities during different RAS phases.
  • Quantified workflow inefficiencies and non-technical skill challenges introduced by robotic integration.

Conclusions:

  • The developed framework effectively identifies layout and workflow inefficiencies in RAS settings.
  • Findings highlight the complexity of robotic integration and the need for objective, evidence-based recommendations.
  • Optimizing OR layout and workflow is crucial for mitigating challenges and improving the efficiency of robotic-assisted surgeries.