Enhancing Administrative Performance In The Health Sector Through Artificial Intelligence: Pathways To Operational Efficiency And Service Quality

Abstract

The healthcare sector is increasingly challenged by the need to improve operational efficiency while delivering high-quality services amid growing demand and resource constraints. Administrative functions, which are pivotal in ensuring the seamless operation of healthcare institutions, are often burdened by inefficiencies, manual processes, and data management complexities. Artificial Intelligence (AI) presents a transformative opportunity to address these challenges by automating routine administrative tasks, enhancing decision-making, and optimizing resource allocation. This article explores the role of AI in enhancing administrative performance within the healthcare sector, examining pathways through which AI contributes to operational efficiency and improved service quality. Through a systematic review of recent studies, case analyses, and expert insights, the study identifies key AI applications such as robotic process automation, predictive analytics, and natural language processing. The findings reveal that AI-driven administrative systems significantly reduce operational costs, minimize errors, and enhance patient satisfaction by streamlining workflows and accelerating service delivery. The article concludes with strategic recommendations for healthcare organizations to effectively implement AI technologies while addressing challenges related to data privacy, cost, and workforce adaptation. These insights offer a comprehensive framework for leveraging AI to create more agile, efficient, and patient-centered healthcare administration.