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Statistical process control as a tool for controlling operating room performance: retrospective analysis and
Tsung-Tai Chen1, Yun-Jau Chang, Shei-Ling Ku
1Institute of Health Care Organization Administration, College of Public Health, National Taiwan University, Taiwan.
Journal of Evaluation in Clinical Practice
|June 19, 2010
Summary
Statistical process control (SPC) can benchmark surgical performance. This study used SPC with a stabilization process to analyze operating room times, identifying one surgeon as a benchmark.
Area of Science:
- Surgical performance analysis
- Healthcare quality improvement
- Statistical process control in medicine
Background:
- Limited research integrates stabilization processes into statistical process control (SPC) for surgical performance monitoring.
- Existing studies often compare surgical groups but lack robust methods for process stability.
Purpose of the Study:
- To analyze surgeon performance in the operating room (OR) using SPC.
- To establish a performance benchmark through a stabilized process.
Main Methods:
- Utilized SPC on 499 laparoscopic cholecystectomy cases from 16 surgeons.
- Applied a five-step SPC analysis including data segmentation, normalization, individual process evaluation, ARL(0) calculation, and inter-group comparison.
- Excluded outliers to ensure process stability for reliable comparisons.
Main Results:
- Analysis of operative and non-operative times revealed significant variations among surgeons.
- In the stabilized process, only one surgeon demonstrated a significantly shorter total process time.
Conclusions:
- A five-step SPC methodology effectively controls surgical and non-surgical times.
- Measures can be implemented to prevent process skew and instability in surgical workflows.
- SPC successfully identified a benchmark surgeon based on stabilized process times.
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