Table of Contents IoT-Based Smart HealthINTRODUCTIONMETHODOLOGYDISCUSSIONADVANTAGESSMART HEALTH APPLICATIONSCONCLUSIONIoT-Based Smart Health The Internet of Things makes smart objects one of the ultimate building blocks in the development of intelligent systems. The Internet of Things has applications in various fields, among which healthcare is one of the major fields. IoT has revolutionized our lives from technological to social perspectives. New technologies have influenced many aspects of our lives. Today's healthcare system has also recognized the benefits of using information and communication technologies (ICT) to improve the quality of healthcare, thereby transforming traditional healthcare into health care. smart health. This article presents basic information on how IoT is used in the development of smart healthcare. Challenges like security, privacy, portability, etc. are also presented. Index Terms: Internet of Things, health monitoring, smart healthcare, sensors, medical devices. Say no to plagiarism. Get a tailor-made essay on “Why violent video games should not be banned”?Get the original essayINTRODUCTION The Internet of Things is a network of physical devices, vehicles, household appliances and other integrated elements electronics, software, sensors, actuators and connectivity that allow these elements to connect and exchange data. The Internet of Things represents a general concept of the ability of network devices to connect to each other and collect data from the world around us. The collected data may be shared on the Internet and used for various purposes. Healthcare is an integral part of our everyday lives. Unfortunately, the increasing aging of the population and the corresponding increase in chronic diseases are placing great pressure on our healthcare system. The demand for hospital beds for doctors and nurses is increasing. A solution is therefore necessary to reduce the pressure on the health system. The main goal of Internet of Technology in healthcare is to connect doctors with patients through smart devices without any restrictions. The patient could open up better, helping the doctor diagnose more quickly. This leads to consumer empowerment, doctors can make informed decisions through better connectivity, precision-centric monitoring and information collection. IoT in healthcare has two main goals. Improve disease management by providing a better patient experience and reducing healthcare costs. METHODOLOGY Healthcare Architecture in IoT A body sensor network is a network specifically designed to work independently to connect various medical devices to connect and monitor. The body sensor network consists of various sensors and medical implants that can be located inside or outside the human body. An integral layer of IoT is introducing smart connected devices that would monitor patients' health, collect data and alert medical staff of any indications of impending illness or worsening of their condition. Patients can wear these devices thanks to medical staff who can monitor their health. This network of body sensors can help monitor at-risk patients and make accurate decisions that can help prevent harm.frequent trips to the emergency room. Multi-service gateways are used to manage the application remotely and to provide wireless connectivity. This facilitates processing, data transfer and date aggregation for a machine-to-machine solution. The apps are designed for patients and hospitals to collect and analyze data. Multi-service gateways are a major help in monitoring patient conditions. Routers are used to collect data which is then uploaded to the repository dedicated to data collection. Machine-to-machine integration is currently one of the fastest growing types of connected device technologies. It can use sensors to communicate, meaning the system can monitor itself while reacting to the environment. This technology requires much less human intervention. It can collect patient-specific data, transfer and analyze it on the spot and can make a decision faster. For example, if a patient's vital signal drops, a cloud-connected device or sensor can administer oxygen and provide additional care until medical personnel arrive. With this technology, the patient can receive treatment while at home. Machine-to-machine is the ideal technology when patient communication is required. C. Reporting, Reminders/Alerts Through the machine-to-machine integration platform, data collected and stored in the cloud can be used to analyze and verify patterns. If a patient has a doctor's appointment on a given day, the device will remind the patient, send notifications and a reminder. The wearable device also reminds the patient to take medications via reminders/alerts. DISCUSSION Security The security of personal health information stored and transmitted by connected devices is one of the main concerns when implementing a smart health system. Attacks or breaches mainly focus on three targets. Web interfaces have several serious vulnerabilities. Various tools are available on the web that can be used by attackers to detect security vulnerabilities in web servers. IoT devices and databases are vulnerable to security breaches. The attacker could delete all information from the database and replace it with false information. Wireless technologies are more prone to data tampering. This can be avoided by setting up user profiles with restricted access and permissions. Multi-factor authentication and data encryption can prevent data breaches. Perform regular checks on connected devices. Multiple Device Integration The biggest challenge is configuring protocols and standards for multiple device integration. Because various mobile devices are connected to the network for data collection. As the implementation of different protocols is different, this complicates data collection. Inferring Results from Data The process of aggregating and collecting data is very complex. Drawing a conclusion from such an amount of data is a very difficult task without a refined analysis program and data experts. Identifying the correct and valuable data is the most difficult part and most medical experts and doctors find it the most difficult. The decision-making process is affected by the increasing amount of data. Concerns are growing as there are more devices that collectcontinuous data. BENEFITS Better Patient Engagement Patient engagement plays an important role in implementing a value-based care program. With IoT, patient care tracks their own health data. In this way, the patient is aware of the progress he has made so far. Doctors and medical experts have access to real-time patient data. There are many apps available in the market that can be integrated with fitness tracking devices like Apple Watch, Fitbit, etc. These applications can collect real-time data and send it to medical staff for evaluation to improve healthcare services for patients. Reduced Availability of Healthcare Costs The use of real-time data through wearable devices has enabled medical staff to monitor patient health remotely. Doctors and patients do not need to meet physically. SMS reminders/push notification based on patient health. Application that helps patients follow instructions to take good care of themselves. Alerts for medical staff about the patient's critical condition, upcoming appointments. Such smart health facilities and applications help detect complications at an early stage, resulting in significant costs through reduced hospital readmissions. Better Chronic Care Management One of the most important aspects of chronic illness is continuous health monitoring and assessment of the patient's health status. Doctors are more confident in remote monitoring of patients and can monitor health parameters more accurately. Medication management IoT also works wonders in medication management. We have smart healthcare facilities to track medications and automatically refill them whenever necessary. This smart technology collects the date in real time and sends it to the app. The app keeps track of the missed dose and, if necessary, reminders are sent to patients in the form of text messages, phone calls or lights on the bottle. This system is of great help in curing chronic diseases. Reduce errors IoT enables accurate data collection, workflow automation and reduces errors. It reduces waste by minimizing unnecessary testing and costly imaging required. Smart health provides connected home care that helps reduce hospital stays and readmissions. The Machine to Machine architecture allows the patient to be monitored from the comfort of their home. A variety of sensors are installed in the device which is kept next to the patient. Data is collected by the devices and which is then monitored by trained hospital staff. Thus reducing the risk of error and improving the quality of service offered by the hospital. Enhanced Patient Management IoT provides proactive and timely services. It focuses on the needs of patients. It provides improved diagnostic accuracy and precision. Rapid intervention by qualified medical personnel can improve treatment. Thus improving the patient experience in the hospital. Improved treatment outcomes Healthcare solutions use the cloud or virtual infrastructure that gives medical staff the ability to access data in real time. This allows them to make informed decisions and provide better treatment. SMART HEALTH APPLICATIONS IoT applications deserve further attention. We can notice that services are used to create applications, although applications.