A growing awareness of the long-term neurocognitive toxicity associated with whole-brain radiotherapy (WBRT) has led to the development of newer delivery methods to achieve relative hippocampal sparing. In order to accomplish the required target coverage and dose constraints, however, hippocampal-avoidance WBRT (HA-WBRT) can prove labor intensive and time-consuming. We therefore developed a simplified and efficient planning model for generating optimized HA-WBRT treatment. Target volumes and organs at risk (OARs) were contoured per the NRG-CC001 protocol, including the whole-brain parenchyma, bilateral hippocampi, and optic apparatus. Treatment was planned using Eclipse 16.1 for a TrueBeam STx 2.7 LINAC, applying customizable optimization and clinical goals templates to rapidly generate uniform plans. An isocenter was placed at the point corresponding to the center of mass between the bilateral contoured 3-dimensional hippocampi. Volumetric modulated arc therapy (VMAT) using 6MV photons was designed using two sets of bi-directional full arcs, with collimator rotations of 85° and 95°. The two paired sets independently covered the superior and inferior portions of the treatment volume, respectively. Arcs shared a total 2cm overlap in the superior-inferior (X Jaws) direction. A total of 10 consecutive cases of HA-WBRT were retrospectively re-optimized using the described planning model. All plans were normalized to cover 95% of the treatment volume with prescription dose (V30Gy = 95%). The model achieved favorable dosimetry relative to NRG-CC001 per protocol constraints. Average maximal dose to the hottest 2% and minimal dose to 98% of the volume were 32.22 ± 0.26 Gy and 29.82 ± 1.46 Gy, well within protocol limits of 37.5 Gy and 25 Gy, respectively. The average maximal dose to 100% of the hippocampi (D100%) and to its hottest 0.03cc (Dmax) were 8.50 ± 0.34 Gy and 12.85 ± 0.70 Gy, compared to protocol limits of 9Gy and 16Gy, respectively. Mean Dmax to the total optic apparatus was 29.67 ± 0.52 Gy, with a maximum value within the cohort of 30 Gy, matching protocol constraints. The above presented methodology for optimizing HA-WBRT can consistently and efficiently generate plans with excellent target coverage and strict hippocampal avoidance per current collaborative group constraints. This method can be broadly applied to decrease the burden and heterogeneity across HA-WBRT planning.