Abstract: The integration of data analytics, artificial intelligence (AI), and cloud computing has significantly transformed the healthcare industry, particularly in optimizing Medicaid and enhancing patient outcomes. This paper delves into the latest advancements in predictive analytics, AI-driven diagnostics, blockchain integration, and cloud-based healthcare solutions aimed at improving efficiency. Through a comprehensive literature review, this study examines the role of AI and data-driven decision-making in enhancing data quality, interoperability, and workforce training. The findings highlight emerging trends, challenges, and future directions, paving the way for continued research and innovation in healthcare technology.
Keywords: Artificial Intelligence, Data Analytics, Cloud Computing, Healthcare Optimization, Predictive Analytics, AI-Driven Diagnostics, Blockchain, Interoperability, Medicaid, Healthcare Innovation.
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DOI:
10.17148/IJARCCE.2025.14224
