The shoulder is one of the most active joints within the human body. Recruited in many daily activities either in active use such as moving or carrying objects or as a source of stability during locomotion. As a result, pain and lack of motion in the shoulder can be debilitating. The replacement of the joint, with improper joint tension, can leave patients with suboptimal outcomes including pain, limited motion, and other functional problems. With no way for surgeons to monitor the tension during the operation, the joint is set using haptic feedback which heavily relies on the surgeon's experiences. Limited information exists on the optimal joint kinematics in the shoulder which becomes more obsolete when considering a total reverse shoulder arthroplasty (RSA) since the operation completely alters the joint forces and kinematics. This presentation outlines the need for a tool that can monitor the deltoid tension and the shoulder kinematics during a total RSA. In conclusion, such tool would allow for both the identification and quantification of kinematic parameters as well as initial deltoid tension that can control or influence the outcome of RSA. Moreover, a series of transducers, sensors, artefact, assessment, and software can be designed and developed that in the long term will go a long way towards generating data and relationships that help surgeons to better understand and establish the links between these parameters and the functional outcome of shoulder surgeries. A simulation and optimisation of these parameters, when combined with individual's anatomical data captured before, during and after the operation should inform the operation planning and better placement of the implants by the surgeons.