EXPLORING MODERN TECHNOLOGIES FOR HOSPITAL RESOURCE ALLOCATION: A COMPREHENSIVE SURVEY

Abstract

Abstract—Efficient resource allocation in hospital networks is paramount for ensuring the delivery of high-quality patient care while optimizing operational costs. This abstract introduces a comprehensive study on "Secured and Efficient Resource Allocation in Hospital Networks," which focuses on addressing the critical challenges faced by healthcare institutions in managing their resources effectively and securely.The healthcare industry is undergoing a digital transformation, and hospitals are increasingly reliant on technology to streamline their operations. However, with the integration of technology comes the pressing need to safeguard sensitive patient data and ensure compliance with stringent privacy regulations. This study explores innovative approaches that not only enhance resource allocation efficiency but also prioritize the security of patient information.One of the key components of this research is the adoption of advanced technologies such as cloud computing, data analytics, and artificial intelligence. Leveraging these technologies enables hospitals to collect, analyze, and utilize vast amounts of data to make informed decisions regarding resource allocation. Through real-time data insights and predictive analytics, hospitals can optimize staff schedules, bed management, equipment allocation, and treatment planning, ultimately leading to improved patient outcomes. Furthermore, the study delves into the importance of securing hospital networks and patient data. The implementation of robust security measures, including encryption, access controls, and intrusion detection systems, ensures the confidentiality and integrity of patient information. By striking a balance between efficiency and security, healthcare institutions can maintain patient trust while providing timely and effective care.This abstract provides a glimpse into the multifaceted research on secured and efficient resource allocation in hospital networks. By exploring the convergence of technology and security in healthcare, this study aims to contribute valuable insights and solutions that empower hospitals to optimize their resource allocation processes while safeguarding patient data and privacy. The subsequent research will delve deeper into the methodologies, case studies, and best practices associated with this critical healthcare challenge.