Efficient Resource Scheduling in Cloud-based Healthcare Systems

Abstract

Cloud computing is becoming a key tool in the quickly changing healthcare industry, bringing about major changes to contemporary medical procedures. This study examines the various applications of cloud computing in the healthcare industry, highlighting how it can improve patient care, simplify processes, and stimulate creativity. Healthcare providers can enhance data management, interoperability, and scalability, resulting in more effective and efficient clinical procedures, by utilizing cloud-based solutions. The article explores important uses, emphasizing how cloud computing enables these developments, including electronic health records (EHRs), telemedicine, big data analytics, and AI-driven diagnostics. In addition, it presents a new effective load-balancing architecture for resource scheduling in cloud-based healthcare communications, guaranteeing maximum resource efficiency and continuous service provision. In addition, this paper discusses important issues including data security, privacy, and regulatory compliance while providing advice on how to reduce the risks involved. This paper highlights the transformative impact of cloud computing on healthcare delivery and illustrates its role in changing medical practices of the future through a thorough review of current trends, innovations, and case studies.