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Measuring and Comparing Clinical Productivity of Individual Anesthesiologists
Amr E Abouleish1, Charles W Whitten2, Mark E Hudson3
1Professor and Vice Chair, Faculty Development, Department of Anesthesiology, The University of Texas Medical Branch, Galveston, Texas.
Anesthesiology
|October 10, 2023
Summary
Anesthesiologist productivity metrics are flawed due to many external factors. This review highlights how these metrics devalue actual work and impact group productivity.
Area of Science:
- Anesthesiology
- Healthcare Management
- Health Services Research
Background:
- Individual anesthesiologist clinical productivity is difficult to measure accurately.
- Anesthesiologist-independent factors significantly confound productivity comparisons.
- Current billing units differ from relative value units, complicating interdisciplinary work comparisons.
Approach:
- This review examines the limitations of using anesthesia units as a productivity metric.
- It analyzes how organizational factors influence productivity.
- The impact of staffing models and surgical case load management is discussed.
Key Points:
- Facility-specific factors (case duration, site utilization, procedure type, location) affect productivity.
- Staffing ratios, call frequency, and time spent on anesthesia delivery are confounding variables.
- Anesthesia staffing is driven by operational needs, not productivity measurements.
Conclusions:
- Anesthesia unit productivity is an inadequate metric for comparing anesthesiologist work.
- Organizational differences and staffing models significantly impact productivity.
- Effective surgical case load management is crucial for optimizing group productivity.
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