Applying Robotic Process Automation & AI techniques to reduce time to market for medical devices compliance & provisioning

Abstract

The need for customizable movement assisting devices for humans appeals to people as populations age, workrelated musculoskeletal disorders have blown past meaningful levels and with recognition of disabilities arising from many forms of injury. These assist devices provide mobility independence, assistance with user and motion correction, disease prevention, as well as kinematic condition monitoring. At the heart of this paper is a digital twin model for the complete lifecycle these devices: from production to delivery and maintenance. It describes the underlying data model of the digital twin, its business logic, provided services, and optimization capabilities aimed at enhancing user/ manufacturer/ healthcare provider experience. In this paper, we suggest that the intelligent articulation of physical devices in concert with their corresponding digital twins can improve customised manufacturing processes to a great extent, at least for those valuechains that are socially pushing us towards making new markets such as assistive technology. It ensures customized design, quick production run and periodic follow up maintenance that also results in improved user outcomes coupled with a muchneeded responsive yet sustainable model for manufacturing.