Aaron Don M. Africa et al., International Journal of Emerging Trends in Engineering Research, 8(5), May 2020, 1897 – 1901 1897 ABSTRACT The concept of the Internet of Things (IoT), revolves around connecting a data network that extends beyond the standard computers and smart devices, into simpler everyday objects, such as lighting, air conditioning, medical equipment, and street signs, which allow them to be remotely monitored and controlled. Even though this concept of having a network of intelligent devices has been discussed for as early as the 1980s, it hasn’t seen much traction and implementation until recent years, thus, still making it an unfamiliar concept to many. With having a bunch of remotely controllable and accessible different everyday objects, this concept can be used in emergency situations, in order to reduce the impact of such occurrences, and hasten recovery. This study focuses to explore the different possible approaches in using IoT for hospital and healthcare management and specific examples of possible real-life scenario applications. By doing so, the paper was able to present possible parameters of measurement between different IoT healthcare networks to compare and determine the best possible implementation to use. Key words: Data Networks, Computer Networks, Internet of Things, Smart Devices, Healthcare Management. 1. INTRODUCTION Hospitals and healthcare use various devices to check their patient’s wellbeing to infer or diagnose them. Due to this hospitals are divided in various departments to house this devices creating distance from the Doctors that would need the output from the devices or equipment and the actual equipment for most healthcare institutions this is supplemented by a network within the hospital that is still manually recorded on a single network [1]. However, Hospitals sometimes overlook significant data in terms of diagnosis causing a delay in creating or making a diagnosis in some scenarios this may be disadvantageous if it is to say an emergency. Solutions that aid doctors in terms of diagnosis are already being used however, the entire process of gathering information from the patient is still followed and done manually [2]. Internet of Things (IoT), is simply a term used to describe a system of interconnected devices, big or small, used for big computations, or used simply for tracking or as a sensor, which is differentiated by providing each one with a unique identifier (UID), and can transfer data by itself within the network [3,4,5,6]. In terms of computer networks, the Internet of Things involves a huge data network involving multiple smart devices interconnected with one another [7,8]. IoT can be implemented similar to a computer network, wherein each host can be given an IP address as an identifier, and data can be exchanged from one device to another [9]. Technology has advanced so far, that a smartphone can do so much more than the traditional call and text [10,11]. Thus, by applying a similar approach to smaller everyday objects found lying around, we can integrate machines into our lives further. IoT is an arising field, yet we don’t see much use and application [12]. Usage in emergency management is important, as it allows us to gather data and control various devices together for quick impact removal and/or reduction remotely via control systems [13,14]. In these situations, one of the common problems is the transfer of accurate information between the individuals, and this can be addressed through the IoT system. These devices can be able to create a unified system which will be able to report multiple metrics about an emergency efficiently and send this information to a response service. Though there have been studies about the applications of this system, there has not been an organized approach developed to determine which of these is the best [15,16]. In this paper, the researchers will try to address this problem by comparing various applications of IoT in terms of different factors. This paper will also be able to determine which studies are most efficient and realistic for individuals. IoT Technologies Systems on Medical Monitoring and Management Systems with a Real-Time ECG Signal Transmission Monitoring Algorithm Aaron Don M. Africa, Bryon Gil Cajayon, Adrian Alano De La Salle University, Manila 2401 Taft Ave., Malate, Manila 1004, Philippines, aaron.africa@dlsu.edu.ph ISSN 2347 - 3983 Volume 8. No. 5, May 2020 International Journal of Emerging Trends in Engineering Research Available Online at http://www.warse.org/IJETER/static/pdf/file/ijeter69852020.pdf https://doi.org/10.30534/ijeter/2020/69852020