Abstract
PURPOSE: The economics of IVF operations remain opaque despite growing prevalence and substantial investment in fertility services. Traditional accounting methods often fall short by failing to capture the complex relationship between biological inputs (number of eggs and embryos processed), skilled labor, and equipment utilization, creating a distorted view across different procedures and patient characteristics. METHODS: This paper presents Activity-Based Costing (ABC) as a methodological framework for understanding true IVF laboratory costs. We demonstrate a use case with an analysis of data from five IVF laboratories (600-2200 annual egg retrieval cycles) across different US regions including time studies of 500 + procedures at each site, with theoretical projections to 4000 annual egg retrieval cycles based on queuing theory. RESULTS: We identify significant cost elasticity with biological inputs; costs increase by 55% for egg freezing when the number of eggs per patient triples, and by 30% for complex IVF procedures (such as those requiring embryo biopsy) when egg count per patient doubles. We also describe substantial scale effects, with marginal lab costs 40% higher in centers performing 500 yearly egg retrieval cycles versus 2000-cycle centers, and 4000-cycle centers estimated to achieve 13-40% lower costs per procedure than operations performing 500 retrieval cycles annually. Finally, we show labor efficiency increases by 30% between centers performing 500 and 2000 annual egg retrieval cycles, an observation supported by a queuing rule of thumb (QROT) analysis, with capital utilization also improving dramatically. CONCLUSIONS: ABC enables evidence-based pricing, capacity planning, technology assessment, and consolidation strategizing. ABC is intended to inform operational efficiency, not clinical treatment, ensuring that quality of care and patient outcomes remain the primary considerations in fertility services.