A real-world evidence-based approach to laboratory reorganization using e-Valuate benchmarking data

Area of Science:

• Health Services Research
• Clinical Laboratory Management
• Health Economics

Background:

• Healthcare cost reduction pressures necessitate efficient clinical laboratory operations.
• Programs aiming to consolidate activities and increase volumes lack evidence of effectiveness.
• Need for evidence-based decision-making in laboratory cost management.

Purpose of the Study:

• To verify if rational, evidence-based decisions can be made using activity-based cost analysis.
• To assess the effectiveness of laboratory reorganization initiatives.
• To quantify variables affecting cost per test in clinical laboratories.

Main Methods:

• Activity-based costing (ABC) analysis was employed.
• Data on performance indicators and reorganization initiatives were collected.
• A dedicated program facilitated benchmarking and data analysis across laboratories.

Main Results:

• The study verified internal reorganization results for specific protein assays.
• Simulations explored reorganization scenarios for autoimmune testing networks.
• Quantified variations in costs, resource utilization, and efficiency were achieved.

Conclusions:

• Activity-based costing data (e-Valuate project) enabled cost variation quantification.
• The approach demonstrated utility in assessing past reorganizations and simulating future ones.
• This provides a foundation for evidence-based decision-making in clinical laboratory management.