Duchenne Muscular Dystrophy is a genetic disorder characterized by the progressive loss of muscle. Most children with DMD use a wheelchair by their early teens. Heart and breathing problems also begin in the teen years and lead to serious, life threatening complications. Currently, there is much interest in Real-World Assessment of Physical Function and Mobility as endpoints to clinical indications such as the above mentioned Duchenne Muscular Dystrophy, both for monitoring of patients and developing new treatments. Most current solutions are centered on proprietary hardware relying on this single proprietary wearable as the only source of health data. The lack of data analytics, an AI-driven platform, and the use of single sensors hinders the combination and integration of key parameters. Current systems do not allow to obtain a holistic view of the patient’s health, and at the same time, the data they provide is difficult to integrate into existing Electronic Health Record (EHR) systems.