###### Abstract  
This comprehensive review paper explores the intricate integration of biosensors with multi-hop Internet of Things (IoT) systems, representing a paradigm shift in healthcare through real-time remote patient monitoring. The strategic deployment of biosensors in different locations in medical facilities, intricately connected to multiple microcontrollers, serves as a cornerstone in the establishment of robust multi-hop IoT networks. This paper highlights the role of this multi-hop IoT network, which efficiently facilitates the seamless transmission of vital health data to a centralized server. Crucially, the utilization of cloud connectivity emerges as a linchpin in this integration, providing a secure and scalable platform for remote patient monitoring. This cloud-based approach not only improves the accessibility of critical health information but also transcends physical limitations, allowing healthcare providers to monitor patients in real-time from any location. This paper highlights the transformative potential of this integration in overcoming traditional healthcare limitations through real-time remote patient monitoring. remote patient monitoring; Internet of Things; biosensors; multi-hop IoT networks; cloud connectivity +
Footnote †: journal: _Sci_  
helping to identify crucial circumstances early on, and maybe avert untimely deaths [8]. The ability of RPM to enhance patient involvement, to increase treatment accessibility, and to maximize healthcare resources highlights the significance of this technology [9]. Additionally, RPM technologies, which are a subset of digital health platforms, make it easier for patients to receive evaluations outside of conventional healthcare venues, enhancing the delivery of healthcare and expanding the scope of care outside of clinical environments [9]. Doctors can now remotely monitor patients, manage their illnesses, and provide feedback thanks to the integration of smart healthcare support with RPM. This enhances the efficiency and personalization of healthcare management [10]. Real-time RPM is essentially changing the way healthcare is delivered by making it more patient-centered, preventative, and sensitive to each patient's customized requirements. Cutting-edge technology like biosensors and multi-hop IoT systems is essential in many industries, including healthcare and data collection, under certain conditions. In terms of biosensors, they are a type of device that combines biological components (enzymes, antibodies, and nucleic acids) with physical transducers to produce measurable signals in response to specific biological substances or changes in physiological conditions. In the healthcare sector, biosensors are crucial for vital signs monitoring, where they play a key role in the detection and measurement of biomolecules or physiological changes associated with essential functions such as heart rate, blood pressure, oxygen saturation, etc. This integration of biosensors into vital signs monitoring enables real-time data collection, contributing to improved diagnostics and patient care. According to emerging research [11], biosensors are an essential component of artificial intelligence (AI) systems designed for the healthcare industry. These biosensors, which are frequently included in IoT networks, make it feasible to obtain data effectively and help to resolve healthcare issues. An optimized AI system makes use of IoT biosensors for healthcare applications, demonstrating the integration of biosensors with multi-hop IoT systems. Biosensors and multi-hop communication function well together when using the LEACH-M approach, which involves several hops for effective data collection in IoT networking systems [11]. Cloud connectivity has revolutionized healthcare monitoring, offering scalable solutions for data storage, analysis, and accessibility. Recent research underscores the impact of cloud computing in this domain, emphasizing its multifaceted benefits.