Recent advancements in imaging technologies and computational power have significantly enhanced our understanding of intracardiac flow dynamics. Four-dimensional magnetic resonance imaging (4D-MRI) has become a standard tool for capturing time-resolved, three-dimensional blood flow; however, its limited temporal and spatial resolution poses challenges for accurately capturing small-scale flow features and quantifying important flow parameters especially in the right ventricle (RV). To overcome these limitations, high-fidelity multi-physics models have been developed. Yet, these models remain computationally expensive and lack the ability to model patient-specific conditions. Image-driven direct numerical simulations (DNS) with prescribed kinematics offer a feasible, cost efficient solution but accurate modeling of intricate heart structures such as the tricuspid valve (TV) is hindered by the resolution constraints of conventional imaging techniques. This work introduces a novel approach that combines TV kinematics with the RV, offering a computationally efficient yet physiologically accurate solution. The results were validated against 4D-MRI data.