DESIGN THINKING BASED PATIENT HEALTH MONITORING AND INITIAL DIAGNOSIS BY A REGULAR CONSULTANTUSING ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS

Abstract: Internet of Things (IoT) and Artificial intelligence (AI) are two of the fastest growing technologies in the world. As more and more people move to cities, the concept of a smart city is not foreign. The idea of a smart city is based on transforming healthcare by increasing efficiency, reducing costs, and putting the focus back on better patient care. Implementing IoT and AI for remote healthcare monitoring (RHM) systems requires a deep understanding of the various frameworks in smart cities. These frameworks come in the form of underlying technologies, devices, systems, models, designs, use cases, and applications. The IoT-based RHM system mainly uses AI and machine learning (ML) by collecting various datasets and data. On the other hand, the methods of ML are widely used to create analytical representations and integrated into clinical decision support systems and various forms of healthcare services. After careful consideration of each factor in clinical decision support systems, individualized treatment, lifestyle counselling advice, and care strategy are suggested to patients. The technology used helps support health applications and analysis of activities, body temperature, heart rate, blood glucose, etc. With this background, this paper provides an overview that focuses on identifying the most relevant health applications in the Internet of Things (H-IoT) supported.

Keywords: Design Thinking, Internet of Things (IoT) and Artificial intelligence (AI)