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AI-Driven Predictive Analytics for Demand Forecasting in Healthcare
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Author(s): V. Leela (Velalar College of Engineering and Technology, India), R. Sangeetha (Velalar College of Engineering and Technology, India), S. Geetha (Nandha Engineering College, India)and B. Deepa (Nandha Engineering College, India)
Copyright: 2026
Pages: 38
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.ch001
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Abstract
This chapter explores how artificial intelligence (AI) has revolutionized healthcare systems, particularly in the areas of scheduling, resource allocation, patient record management, and patient flow augmentation. AI is being utilized more and more to improve patient outcomes, reduce inefficiencies, and optimize healthcare procedures. The chapter examines how various AI algorithms can be used for scheduling and resource allocation, effective patient data and record management, patient flow optimization, and wait time reduction. By way of review of modern AI methods, case studies in actual practice, and implementation issues, the chapter illustrates how AI technologies are transforming healthcare management and supporting more sustainable and effective delivery of healthcare.
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