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The increasing adoption of Internet of Things (IoT) in healthcare applications is highly valuable to individuals. However, people in rural regions face significant challenges in accessing professional healthcare services due to a shortage of doctors, limited hospital facilities, and considerable distances from urban areas. In this context, remote patient monitoring presents an effective solution to address healthcare disparities. This chapter delves into the advancement of point-of-care (PoC) diagnostic modalities, leveraging microfluidic chip technology and the IoT to facilitate real-time remote patient surveillance and clinical decision-making. It begins by discussing the need for remote patient monitoring, followed by an examination of how microfluidic chips can be integrated with the Internet of Medical Things (IoMT). The study highlights the significance of IoT-enabled wearable devices, cloud-based data storage, artificial intelligence-driven analytics, and secure data transmission in remote healthcare management. Notwithstanding these technological strides, critical impediments such as interoperability constraints, cybersecurity vulnerabilities, and stringent regulatory frameworks necessitate resolution to facilitate large-scale deployment. Furthermore, this chapter investigates the prospective trajectory of microfluidic chips within IoT-integrated healthcare, underscoring their transformative potential in advancing personalized therapeutics, optimizing chronic disease management, and enhancing the accessibility of global healthcare ecosystems.