Despite high levels of spending on prenatal care, the U.S. has the worst maternal mortality outcomes amongst peer high-income nations. In response to a growing need for modernized prenatal care policies, national prenatal care stakeholders have developed a new model of prenatal care, which moves away from a "one-size-fits-all" model of prenatal care delivery, and instead tailors care to patients’ specific needs. In this article, we develop a data-driven discrete event simulation model to quantify the operational impacts of adopting this new care paradigm. We consider a case study of a large academic health center, and derive input parameters for the model from historical data. Our results suggest that when compared with the "one-size-fits-all" model of care, the new tailored care policy leads to reduced patient delays, as well as a reduction in overbooking, implying increased flexibility in the system. This flexibility may help clinics better handle unforeseen changes in patient care plans due to medical or social risk factors.