An Efficient Physiological Record System Using Osmotic Computing Paradigm

The rapid surge in digitalization necessitates the seamless integration of a multitude of technologies, including the Internet of Things (IoT), edge computing, cloud computing, artificial intelligence (AI), machine learning and others. Many providers now offer some of these technologies on a unified platform, making them easily accessible to users. The convergence of IoT, edge computing, and cloud computing gives rise to an innovative paradigm, osmotic computing. Osmotic computing has the potential to tackle various challenges related to resource allocation, latency, scalability, migration, and other aspects of computing. It is relevant in scenarios related to hospitals, disasters, and transportation that necessitate real-time solutions. In particular, creating, updating, retrieving, and maintaining hospital records pose significant challenges and require in-depth exploration with the latest technologies to ensure the safety and well-being of individuals. This paper introduces an efficient physiological record system that leverages the osmotic computing paradigm. The system manages the records of a vast number of patients and facilitates access to these records by various stakeholders, including doctors, government agencies, insurance companies, and others, as and when the need arises. Finally, this paper highlights the challenges related to the physiological record system within the framework of osmotic computing.