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Intersecting AI and Medicine for Improved Care and Administrative Efficiency
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Author(s): A Prabhu Chakkaravarthy (School of Computing, SRM Institute of Science and Technology, Kattankulathur, India)and Dhanalakshmi Jaganathan (School of Computing, SRM Institute of Science and Technology, Kattankulathur, India)
Copyright: 2026
Pages: 20
Source title:
Intersecting AI and Medicine for Improved Care and Administrative Efficiency
Source Author(s)/Editor(s): Omar Ali (Abdullah Al Salem University, Kuwait), Abbas Amini (Abdullah Al Salem University, Kuwait)and Ahmad Al-Ahmad (Gulf University for Science and Technology, Kuwait)
DOI: 10.4018/979-8-3373-1772-4.ch002
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Abstract
Artificial Intelligence (AI) is revolutionizing healthcare by bridging the gap between patient care and administrative efficiency. This study explores how AI-driven solutions enhance clinical decision-making and streamline operational processes, creating a synergy that improves healthcare delivery. In patient care, AI facilitates early disease detection, personalized treatment plans, and predictive analytics, resulting in better outcomes and reduced costs. Key advancements include natural language processing for patient documentation, predictive algorithms for patient scheduling, and AI-powered chatbots for appointment management. The study also examines challenges such as data privacy concerns, ethical considerations, and the need for robust AI governance to ensure fairness and accountability. By highlighting the intersection of AI in clinical and administrative domains, this paper underscores the importance of adopting AI-enabled systems to create a more efficient, patient-centric healthcare ecosystem.
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