are transformation. HEALTHCARE TECHNOLOGY TRANSFORMATION The history of the healthcare system is related to the history of medicine as depicted in Figure 2.4. In medicine 1.0, doctors prescribed medicines and these medicines were natural herbs. Healthcare 1.0 involved solving major health problems using intelligent public health decisions such vaccination and sanitization. With the dis- covery of antibiotics and X-ray machines, the concept of specialization in diagnostics techniques and of big hospitals started in healthcare. This is referred to as healthcare 2.0. In healthcare 2.0, mass production of medicines and surgical instruments by industry took place. This was followed by evidence-based medicine in healthcare 3.0 where surgical robots, navigation surgery, and image recognition are the main features. With advancements in communication and microelectronics technology, advanced medical diagnosis, and treatments such as chemotherapy, telematic therapy, and intelligent implants for the body are an important part of healthcare 4.0. Wearables such as smart watches consist of multiple sensors for collecting data. The patient is monitored and diagnosed by a doctor from the physiological data. This data is further analysed using artificial intelligence (AI) and machine learning. An IoT device with AI faces the following challenges at the communication layer level [24]: Data transmission without loss, Less congestion in transmission channels, Cost-effectiveness, Data retrieval from the packets lost in the internet traffic, Machine to machine (M2M) communication. These challenges are addressed in the 5G communication system. With 5G communi- cation, the personalized healthcare model, where individual well-being is the priority plays an important role in medicine 5.0 or healthcare 5.0. SECURE H-IOT The data collected from wearable medical implants and smart watches can be monitored by a doctor in real-time and uploaded onto a cloud server for further ana- lysis. The collected data is spatial and temporal. The spatial 