This research addresses the inefficiencies and potential errors inherent in traditional medicine delivery methods within hospital environments. To overcome these challenges, we developed an innovative Automated Medicine Delivery System (AMDS) designed to enhance accuracy, efficiency, and patient safety in hospital wards. The system utilizes a track-guided robotic platform controlled by a Raspberry Pi, integrating ultrasonic sensors for obstacle detection, an infrared sensor for path following, and a Radio Frequency Identification (RFID) sensor for precise room identification. These components work together to ensure reliable and timely medication delivery to patients. The AMDS also includes a cloud-based system that allows remote monitoring and updates by healthcare providers, thereby reducing the risk of missed medications due to human error. The AMDS successfully navigated a simulated hospital ward, demonstrating its ability to accurately deliver medication, avoid obstacles, and ultimately minimize errors, alleviate workload on healthcare professionals, and improve patient care. The integration of robotics and automation in healthcare settings, as exemplified by the AMDS prototype, has the potential to enhance medication delivery efficiency, reduce errors, improve patient safety, and lay the foundation for further innovations in automated healthcare systems, aiming to transform hospital operations through advanced robotics and real-time communication technologies.