Aims: This study refers to the design of a Ventricular Assist Device (VAD) featuring remote monitoring of parameters collected via sensors such as pressure (mmHg), flow rate (L/min), current (mA), and speed (rpm). These parameters aim to detect failures in the circulatory flow of patients implanted with VADs, enabling data transmission through IoMT technologies and remote speed control in cases of critical and catastrophic failures. The system also includes GPS tracking, contributing to the reduction of adverse events and improving patients' quality of life. Methods: The VADs were prototyped using PETG (Polyethylene Terephthalate Glycol) and integrated with H-bridge current sensors, as well as sensors for speed, pressure, and flow rate. These were connected to the VAD motor and pump, respectively. The actuator was connected to an ESP microcontroller with Wi-Fi and cloud connectivity, enabling data collection, storage, processing, and transmission. Data can be accessed via a local computer or remotely through a smartphone application, which allows data analysis and decision-making in case of critical or catastrophic failures. The system is powered by a local LiCd battery providing 15 minutes of autonomy and two additional batteries offering up to 8 hours of operation. Results: In silico and in vitro simulations enabled an initial evaluation of the system, which is still in the testing phase. These tests allowed for the collection of operational parameters and the creation of performance tracking graphs. Remote activation confirmed the feasibility of remote response during critical and catastrophic events. Location tests also confirmed the effectiveness of GPS tracking in emergency situations. Conclusions: In its initial phase, the proposed project successfully demonstrated data acquisition, control, and geolocation of the VAD within expected parameters.