Graph-Theoretic Approaches to Optimizing Connectivity and Security in Ubiquitous Healthcare Systems

Abstract

Graph theory in computer science is an innovative answer to the increasingly complicated modern infrastructure of healthcare, where security and connection are critical and it has a wide range of applications, such as drug development, epidemiological analysis, personalized medicine, and so on. Through the utilization of graph databases and analytics, healthcare practitioners can obtain significant knowledge, improve their decision-making procedures, and optimize their operations. Real-world case studies illustrate successful implementations, such as remote patient monitoring and smart healthcare environments through graph-theoretic solutions The healthcare sector stands to gain from increased patient outcomes, data-driven decision support, and increased efficiency through the incorporation of graph technology. The study describes the field's challenges and future directions. It looks at new trends, untapped applications of graph theory in healthcare optimization, and approaches to ethical and legal issues.