Integrating IoT and Robotics in Healthcare: Improving Patient Data Management and Treatment Precision

The rapid advancement of Internet of Things (IoT) technologies and robotics has created new opportunities for transforming modern healthcare systems. This paper explores the integration of IoT and robotic technologies in healthcare environments, with a particular focus on enhancing patient data management and improving treatment precision. IoT-enabled devices facilitate continuous, real-time collection and transmission of patient health data, enabling accurate monitoring, early diagnosis, and data-driven clinical decision-making. When combined with robotic systems, these technologies support high-precision medical procedures, automated patient care, remote surgeries, and efficient hospital operations. The integration framework discussed in this study highlights how seamless data exchange between IoT sensors and robotic platforms can reduce human error, optimize treatment outcomes, and enhance patient safety. Additionally, the paper addresses key challenges related to data security, interoperability, system reliability, and ethical considerations. By analyzing current applications and emerging trends, this work demonstrates that the convergence of IoT and robotics represents a significant step toward smarter, more personalized, and efficient healthcare delivery systems.