Digital Twin technology (DT) is emerging as a key tool for optimizing radar-based healthcare monitoring, enabling simulation-driven validation before real-world deployment. Hospitals and assisted living facilities present challenges for radar sensing, including multipath interference, clutter, and distinguishing multiple individuals in confined spaces. Real-world testing is costly and time-consuming, making Digital Twins an effective alternative to refine sensing strategies before implementation. This work introduces a Digital Twin framework for radar system qualification, modeling complex indoor radar interactions using Shooting and Bouncing Rays (SBR+) and Physical Optics (PO) in Ansys Perceive EM. We analyze the impact of bandwidth (BW), furniture placement, and room configurations on micro-Doppler and Range-Doppler responses. Beyond capturing information relative to multiple individuals, this framework also enables simulating different human-like activities. Initial results highlight the potential of Digital Twins to optimize radar configurations and reduce deployment costs, though further refinement is needed for areas such as multi-person differentiation and fall severity classification.