Vijay Suryabhan pulate Vaishali Mangesh Dhede Rahul M Mulajkar

Syringe infusion pumps are indispensable in healthcare and research for delivering fluids with high precision. Modern advancements are transforming these devices into intelligent systems, incorporating Internet of Things (IoT) capabilities, artificial intelligence (AI), and modular designs. These innovations address long-standing challenges such as handling high-viscosity fluids, sensor reliability, and user interface complexity while also introducing real- time monitoring and remote control. This paper explores cutting-edge technologies that improve flow rate accuracy, enhance safety features like occlusion detection and air-in-line sensors, and expand device adaptability to diverse clinical scenarios. Furthermore, the integration of predictive algorithms and IoT connectivity in infusion systems is discussed, offering transformative potential for home healthcare and resource-constrained environments. By addressing existing limitations and proposing future developments, this study lays the groundwork for the next generation of syringe infusion pump systems designed to improve patient outcomes and operational efficiency in the medical field.

https://doi.org/10.58357/jedcs.2025.v4.i1.10