Increasing Profitability in the Indian Healthcare Aggregator Pathology Sector

Abstract

The growing adoption of digital healthcare, rising awareness of preventive healthcare, and growing demand for diagnostic services have led to significant growth in the Indian healthcare aggregator sector, commonly known as the pathology sector. Though the healthcare aggregators are booming with growth, profitability is a huge concern due to disjointed operations, high customer acquisition costs, reliance on third-party diagnostic centres and lack of control on value capture. The main role of most aggregators is a middleman, causing significant revenue loss to radiology and pathology facilities. Thus, existing aggregator business models have yet to be proven sustainable and scalable in the long term. The main goal of this study is to explore the profitability issues in the Indian pathology segment of the healthcare aggregator and propose a hybrid operational model that enhances the operational efficiency, profitability, and scalability of these businesses. The research has a mixed methods design which involves quantitative financial modelling and qualitative analysis. The quantitative analysis is based on four representative models (PharmEasy style Aggregator model, Healthians style Hybrid model, Thyrocare style Centralized Pathology model, and vertically integrated model of Dr Lal PathLabs). In addition, it is proposed that a hybrid operational model for the services be developed and evaluated where in-house phlebotomy services and outsourced pathology processing services are combined with a diagnostic-centre based radiology service. The qualitative phase investigates the perceptions of the stakeholders on the inefficiencies in their operations, the leakages in margin, the control of prices, dependency on diagnosis and feasibility of implementation. The results show that the biggest source of leakage of profits in traditional aggregator models is relying on external diagnostic providers. This hybrid model is found to be cost effective as shown by the comparative analysis, which also shows that it increases the contribution margin, decreases the break-even point and increases the scalability. Compared to all of the models tested, the proposed model had the highest profitability, a gross margin of around 70%, and the smallest break-even point. The study extends the body of knowledge in the area of healthcare platform economics, Transaction Cost Economics, and Resource Based View theory by establishing a link between value capture and financial sustainability in the context of healthcare platforms and their selection of operational integration. From a practical perspective, the insights offer strategic direction for healthcare aggregators aiming to secure sustainable growth, profitability, and competitive edge in the fast-changing Indian diagnostics sector.

Keywords: Healthcare Aggregators, Pathology Sector, Profitability, Hybrid Operational Model, Diagnostic Services, Healthcare Platform Economics, Scalability, India.