OBJECTIVES: The health care sector in India is growing rapidly while facing increased demands for quality and efficiency of care.  We have developed an agent-based model (ABM) of cardiovascular disease (CVD) for India to inform relevant healthcare policy and investment decisions by simulating infrastructure expansion scenarios and estimating associated healthcare requirements and health and economic impacts. METHODS: The primary agents in our model are individual health care facilities, including hospitals and health care centers. Healthcare facilities are configured by model users and placed in selected jurisdictions to simulate multiple CVD diagnostic and treatment strategies over a time horizon of up to 20 years. A facility description includes basic patient information, the catchment population served by the facility, the diagnostic capacity of that facility (e.g., how many ECG tests the facility can provide), and the diagnostic strategies used by that facility to diagnose CVD. Multiple sets of patient-strategy combinations can be defined for each facility allowing for inter-facility and intra-facility comparisons. Using this information, each facility in the CVD model calculates a total patient population, segments the patient population into individual patient groups, and runs these groups through specified diagnostic strategies.  Our CVD ABM was developed using the Repast Simphony ABM environment. RESULTS: The results of running each patient group through the specified strategies are recorded and used to calculate multiple health and economic summary metrics. The metrics include diagnostic outcomes, costs, quality-adjusted life years, capacity metrics, and a customized composite score. The results of an example scenario will be reported. CONCLUSIONS: CVD ABM has potential to inform complex health care infrastructure investment decisions that could improve access to CVD care and positively affect health and economic outcomes, while increasing operational efficiency of health care delivery in India.