Falls among older adults who use wheelchairs full time can lead to physical injury and psychological challenges, significantly affecting their daily lives. Existing fall detection devices are not effective for this specific population. Thus, there is a critical need to develop a reliable system to detect falls accurately and support individuals in managing fall-related risks. Building on our prior work, we continue to develop and evaluate WheelSafe, a wearable device that accurately detects falls from a wheelchair. We are also creating an ecological monitoring assessment to capture fall circumstances and a tool to visualize fall history. Our immediate goal is to create a fully integrated prototype system compatible with common smartphone/watch operating systems. In the long term, we aim for the adoption of this system to reduce lie time after falls, enhance understanding of fall history and circumstances, empower individuals to engage in fall prevention activities, and improve their ability to live, work, and play in preferred environments.