By using on-demand, multi-sensor wearable 3D printed medical devices, not only can we early detect the arteriovenous access dysfunction, moreover, we could offer a better solution for holistic hemodialysis patient care. This project is to design a wearable medical device which can measure and monitor the hemodynamically significant stenosis of the dialysis access using sensor of phonoangiography (PAG) for exploring vascular pitch pattern primarily and sensor of Photoplethysmography (PPG) for estimating the flow volume secondarily as a double checking of the AV access condition. A novel function of autoregressive (AR) model was added onto the PAG-based sensors to detect AVA stenosis and simultaneously audit the status of its life cycle by tracking and obtaining changes in frequency spectra domain. It helps hemodialysis patients to be aware earlier of the dysfunction of AVA and reminds them to make a return visit. The purpose of the complement deployment of vital sign sensors into the 3D printed devices is to improve the prognosis and optimize overall health by providing analysis of physiological signals, including water content index, pulse oximetry, and blood pressure at the same time. With these sensors, the concept of holistic hemodialysis patient care (HHPC) might be proved.