Pages: 26-29
Published: 30.07.2025
Abstract: As Artificial intelligence (AI) continues to redefine the boundaries of technological progress, industries are undergoing a fundamental transformation marked by automations, standardization, and strategic adaptability. Healthcare, a traditionally complex and data-intensive sector, is increasingly aligning with this shift. The application of AI in big data processing offers the potential to streamline operations, enhance analytical capacity, and reallocate human expertise toward higher-order thinking and innovation. This convergence not only facilitates more agile and responsive healthcare systems but also lays the groundwork for transformative, patient-centered models of care in the evolving digital era. The article discusses the current landscape of healthcare finance management, with a particular focus on the role of big data processing and the integration of Artificial Intelligence (AI). As healthcare institutions, including large hospitals, medical devices manufacturers, and pharmaceutical companies, grapple with increasingly complex financial operations, the need for efficient, data driven solutions have become critical. AI technologies offer significant potential to optimize financial processes such as but not limited - medical service recording, billing, invoicing, revenue cycle reporting, planning and budgeting, cost forecasting. By leveraging AI in the analysis of large-scale healthcare financial data, organizations can enhance accuracy, streamline workflows, and support strategic decision-making. Furthermore, the article explores how emerging AI technologies may continue to reshape financial systems, offering new opportunities for optimization, scalability, and long-term sustainability in the global healthcare sector.
Key words: Healthcare, Healthcare Management, Healthcare Finance, Artificial Intelligent, Big Data, Big Data Processing, Machine Learning, Digital Health innovation, Systematization and Standardization.
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