The rapid integration of robotics in healthcare has opened new possibilities for enhancing efficiency and addressing the growing demand for personalized patient care. This research focuses on the development of a multi-purpose robotic platform, Nursebot, designed to assist nurses in healthcare environments. The platform employs a Raspberry Pi 4 microcontroller and is powered by a Lithium Iron Phosphate (LiFePO4) battery, known for its superior energy density and longevity. The system architecture integrates motor drivers, a buck converter, and an Inertial Measurement Unit (IMU) for efficient navigation and performance. Three experiments were conducted to evaluate the system: latency, velocity, and battery performance. Results reveal a strong correlation between latency and operational distance, efficient velocity performance across speed levels, and a predictable discharge pattern for the LiFePO4 battery, supporting stable and prolonged operation. These findings highlight the potential of Nursebot to enhance healthcare services through timely response, energy efficiency, and reliable operation.