What question did this study set out to answer?

This work aims to quantify the operational impacts of tailored prenatal care pathways using advanced simulation models.

An optimization-embedded simulation approach for quantifying the operational impacts of right-sizing prenatal care

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Randomized trial quantifies operational impacts of tailored prenatal care approaches, suggesting improved patient management.

This work aims to quantify the operational impacts of tailored prenatal care pathways using advanced simulation models.
Developed a discrete-event simulation model with embedded mixed-integer linear programming for scheduling.
Applied the model in a case study at a prenatal care clinic within a large academic health center.
Analyzed patient-related heterogeneity to minimize delays, rescheduling, and overbooking.
Tailoring prenatal care significantly reduced patient delays, rescheduling, and overbooking.
Scheduling appointments individually rather than by trimester led to minimal delays and overbooking.
Enhanced flexibility allows accommodating more patients or adapting to unexpected complications.

Ghrayeb et al. (2026) studied this question.

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