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Related Experiment Video

Updated: May 30, 2026

Simulation of a Scaled Assembly Process with Collaboration of a Robotic Arm and Monitoring through a Vision System for Quality Control

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Published on: August 29, 2025

Lean processes for optimizing OR capacity utilization: prospective analysis before and after implementation of value

Patric Schwarz¹, Klaus Dieter Pannes, Michel Nathan

¹Department Block OP Centre Hospitaylier Emile Mayrisch (CHEM), Esch-sur-Alzette, Luxembourg.

Langenbeck'S Archives of Surgery

|August 10, 2011

Summary

Optimizing operating room (OR) processes significantly reduced patient change and throughput times. This efficiency allows for more surgical interventions annually without increasing staff, enhancing patient care.

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Area of Science:

Healthcare Management
Surgical Process Optimization
Operations Research

Background:

Clinic competition and resource optimization drove the need for improved operating tract processes.
The project aimed to enhance operating room (OR) capacity utilization by minimizing patient change and throughput durations.

Purpose of the Study:

To implement and evaluate optimized processes for improved operating room (OR) efficiency.
To reduce patient change time and throughput time within the operating tract.

Main Methods:

A prospective analysis was conducted before and after process optimization using value stream mapping (VSM).
Change times (extubation to intubation) and throughput times (inward to outward transfer) were measured for patient flows.
VSM was utilized to identify and eliminate process waste, comparing initial (VSM A(1)), actual (VSM A(2)), and optimized (VSM-O) states.

Main Results:

Mean change time decreased from 1,507±100 s (VSM-A(2)) to 933±66 s (VSM-O) (p<0.001).
Mean throughput time reduced from 151±8 min (VSM-A(2)) to 120±10 min (VSM-O) (p<0.05).
Overall patient waiting time saw a 23% reduction.

Conclusions:

Optimized OR capacity and resource utilization enabled an additional 1820 procedures annually without increased staffing.
Perioperative patient monitoring was enhanced, reaching up to 100% coverage.