Timely access to electroencephalography (EEG) is a recognized challenge within healthcare. Enabling healthcare providers to quickly identify acute seizures for initiating timely and appropriate treatment is vital in preventing morbidities. The VHA Tele-EEG Network (TEN) identified a point-of-care EEG technology that addresses this care gap. This technology had limited VHA use data to inform workflows. Our solution was to apply healthcare simulations to derive data as teams experienced the technology in our National Simulation Center. The objective was to use the simulation data to inform immediate pilot sites preparing for local implementation. We applied our Simulation-Enabled Adoption Model (SEAM) which, through iterative simulations, defined and refined workflows, identified interdisciplinary communication and patient documentation needs, as well as requirements for sustained device use. The debriefs were conducted systematically using formal process maps and a focus on resilience engineering. Key deliverables were 1- an immediate future state process map for the planned pilot site and 2- a project management tool for Go-Live preparations derived from the debriefs with action items prioritized based on subject matter experts’ consensus. The goals of this transdisciplinary collaboration were to: 1- Define initial workflows for coordinating care around an FDA-approved emerging technology that had yet to be integrated into VHA infrastructure. The National VHA Simulation Center (SimVET) provided a safe simulated space to explore and define new workflows, as well as pilot potential solutions for gaps. 2- Refine our own model of work (SEAM) and establish it as a standard approach for future clinical technology adoption efforts at SimVET. 3- Create accessible deliverables based on simulation data that can promote efficiency and effectiveness of technology adoption at pilot sites.