Benchmarking in pathology: development of a benchmarking complexity unit and associated key performance indicators

Area of Science:

• Laboratory Medicine
• Healthcare Management
• Pathology Informatics

Background:

• Pathology laboratories face challenges in comparing productivity due to diverse test menus and workloads.
• Existing metrics often fail to account for the complexity of diagnostic tests.
• Standardized benchmarking is crucial for quality improvement and resource allocation in pathology services.

Purpose of the Study:

• To introduce and validate the Benchmarking Complexity Unit (BCU) as a novel metric for pathology laboratory productivity.
• To develop a system for objectively comparing laboratory efficiency and complexity across different organizations.
• To facilitate the identification of peer groups for benchmarking purposes.

Main Methods:

• The BCU was developed based on the principle that wage rates reflect marginal productivity.
• A dynamic weighting factor was calculated using the ratio of medical to technical staff time from participant data.
• Complexity values for each test were determined, and the median value across sites was established as the test's BCU.

Main Results:

• The BCU proved to be a robust and unbiased indicator of test complexity.
• Key Performance Indicators (KPIs) were developed, including measures for organizational complexity, analytical depth, and performance efficiency.
• Peer groups were successfully established using BCU data combined with organizational and environmental metrics.

Conclusions:

• The BCU enables objective comparison of productivity statistics between pathology laboratories.
• It effectively corrects for variations in test mix and workload complexity.
• The BCU facilitates objective stratification into comparable peer groups for benchmarking.