# IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database  
[PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON] IoT-Based Medical Image Monitoring System Using HL7 in a Hospital Database  
[PERSON], [PERSON], [PERSON], [PERSON], [PERSON], [PERSON], S.A.  
achieve in this sector. IoT has been recognized as being one of the most significant research topics in the field of medicine, particularly in image processing. Furthermore, patient engagement and satisfaction have also been enhanced, and interactions with doctors have become easier and more efficient. Remote monitoring of a patient's health has also shown to lead to a reduction in hospitalizations and re-admissions. IoT is now also having a huge impact on medical costs and clinical outcomes. However, medical devices have now evolved to the point where a large amount of data are generated in the healthcare environment daily. The advancement of medical technologies such as magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound imaging generates vast amounts of data on a daily basis, and the data collected from these devices include multiple dimensions and factors [2]. The dimensionality of medical image databases is rising exponentially, making it difficult to manage file systems because of the rising amount of data stored due to the growth of medical databases, so the handling of medical data has become a top priority for healthcare providers [3]. A few research projects have created a method for transmitting real-time ultrasound data via the internet. A smart handset or computer displays the ultrasound image as well as other ultrasound data. For detecting kidney abnormalities, a portable ultrasound imaging system based on FPGA and IoT is also being developed [4]. A study which presents an algorithm for detecting and classifying renal abnormalities, uses LUT (Look Up Tables) and SVM (Support Vector Machines) with MLP (Multi-Layer Perceptron) based on an IoT e-health architecture [5]. Another piece of research proposes an electronic healthcare method based on IoT. It has now become possible to transfer real-time ultrasound video over the internet [6]. Another study has provided three types of modifications: a modified multipath routing protocol, an NS3-program used to simulate a real-world network to improve the modification, and a system that included the implementation of some algorithms such as EIGRP (Enhanced Interior Gateway Routing Protocol). The goal is to gather information about nearby nodes and add it to the routing table, then determine the best routes while keeping the cost of the value obtained as guide information from the router in mind. The protocol routing tables are regularly updated, resulting in topological changes and information being updated from one router to another, resulting in additional convergence [7]. Yet another study reviewed how to construct a new model in NS3, where they utilized a wireless scenario for MANETs (Mobile Ad-hoc Networks) with different parameters to analyze the behavior, and they found that the YansErrorModel had a greater success rate in most scenarios [8]. The goal of a further piece of research was to see if it was possible to transfer pictures of ultrasound imaging in rural/undeveloped settings. Aiming to benefit telemedicine, they developed an Arduino-based ultrasonic developer kit [9]. Previous research states that ultrasound images are essential for medical purposes and for physicians. As a result, it is critical that ultrasound images can be observed, and even better if physicians can do this from remote locations with limited bandwidth. Monitoring from remote locations is necessary, but it would be ideal to build up a real-time visualization dashboard for all clinicians at any institution. This would bring data sources into closer proximity to the healthcare facilities where they are analyzed [10].