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AI for Hospital Administration, Staff Scheduling, and Operational Efficiency: Transforming Healthcare Operations Through Intelligent Automation

AI for Hospital Administration, Staff Scheduling, and Operational Efficiency: Transforming Healthcare Operations Through Intelligent Automation
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Author(s): K. Saravanan (SRM Institute of Science and Technology, India), M. Sadhasivam (Panimalar Engineering College, India), G. Sumathy (SRM Institute of Science and Technology, India), A. Maheshwari (SRM Institute of Science and Technology, India)and M. G. Dinesh (Easa College of Engineering and Technology, India)
Copyright: 2026
Pages: 28
Source title: Breakthroughs in Smart Nursing With Generative AI
Source Author(s)/Editor(s): Suha Khalil Assayed (National Kaohsiung University of Science and Technology, Taiwan), Maha Atout (Philadelphia University, Jordan)and Chin-Shiuh Shieh (National Kaohsiung University of Science and Technology, Taiwan)
DOI: 10.4018/979-8-3373-8247-0.ch009

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Abstract

Artificial Intelligence (AI) is reshaping hospital administration, workforce management, and operational efficiency by enabling intelligent automation, predictive insights, and data-driven decision-making. This chapter explores the integration of AI technologies including machine learning, deep learning, natural language processing, and reinforcement learning within key hospital operational domains such as administrative workflows, staff scheduling, resource allocation, and performance optimization. It highlights how AI enhances patient flow, reduces delays, improves asset management, and supports real-time operational intelligence. The chapter also discusses challenges related to data privacy, bias, system interoperability, governance, and workforce acceptance. Finally, emerging trends and future research directions, including digital twins, federated learning, and explainable AI, are explored to guide the development of resilient and efficient healthcare operations.

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