## 3 Video Monitoring & Internet of Things
### Internet of Things Big Data in Healthcare Sector  
IoT-based Big Data have received a great deal of attention in the healthcare industry and hold great promise for enhancing patient care, illness management, and operational efficiency. The following are some significant themes and conclusions from various scientific studies on IoT-based Big Data in healthcare: (1) _Remote Patient Monitoring and Wearable Devices_: Smartwatches and fitness trackers are two examples of wearables with capabilities of the IoT that are being employed for remote patient monitoring. Vital signs, activity levels, and other health-related data can be continuously collected by these devices and sent to healthcare professionals in real-time. According to research, remote patient monitoring with IoT Big Data can help with early disease identification, better chronic disease management, and patient engagement. (2) _Real-Time Healthcare Analytics:_ Real-time monitoring and decision-making are made possible by IoT-generated data in the healthcare sector and Big Data analytics. For instance, IoT sensors built into hospital equipment can deliver real-time information on environmental conditions, patient vital signs, and equipment status. Real-time data analysis can result in shorter response times, device predictive maintenance, and better patient outcomes. (3) _Healthcare Asset and Inventory Management:_ In order to improve asset and inventory management in healthcare institutions, IoT and Big Data are used. Using IoT sensors to track medical supplies, drug inventories, and other necessities can improve operational efficiency overall, optimize resource use, and reduce waste. (4) _Healthcare Supply Chain Optimization:_ The healthcare supply chain is also being optimized using IoT and Big Data technology. Healthcare providers can more effectively manage inventories, cut costs, and guarantee timely delivery of essential commodities by collecting and analyzing data on the movement of medical supplies and drugs. (5) _IoT-Enabled Smart Hospitals:_ Big Data analytics combined with IoT technologies can build smart hospitals with interconnected systems. The seamless data interchange between medical equipment, electronic medical records, and patient information systems is made possible by this interconnectedness. Improved patient care, increased patient safety, and resource allocation are all goals of smart hospitals. (6) _Health Behavior Monitoring and Predictive Modeling_: IoT devices have the ability to gather information about patients' everyday routines, habits, and lifestyle decisions. This information can be utilized to build predictive models for health outcomes and interventions when paired with Big Data analytics. For instance, information from smartwatches can be used to track changes in physical activity levels or forecast sleep disorders. (7) _Healthcare Data Privacy and Security_: It is crucial to protect data privacy and security when IoT devices collect and send critical patient data. In order to safeguard patient information from unwanted access or cyberattacks, recent research has concentrated on creating secure IoT architectures, encryption methods, and access control systems. (8) _Chronic Disease Management_: By offering real-time insights on patients' health problems, IoT Big Data has the potential to completely transform the management of chronic diseases. Chronic diseases like diabetes and hypertension can benefit from ongoing monitoring, since it allows for more individualized treatment approaches and improved disease management. (9) _IoT-Based Telemedicine and Virtual Care_: The development of telemedicine and virtual care services is greatly aided by IoT devices and Big Data analytics. Patients can obtain medical guidance and treatment from the comfort of their homes thanks to remote consultations and virtual health platforms. The use of IoT-based Big Data in healthcare is a topic that is constantly changing, and new study findings are frequently released.