Enhancing Healthcare Financial Decision-Making using Secure AI-Enabled SAP Cloud Platforms

Authors

  • Benjamin André Girard Thompson Team Lead, Canada Author

DOI:

https://doi.org/10.15662/IJRAI.2024.0703007

Keywords:

AI-Enabled SAP, Healthcare Financial Analytics, Secure Cloud Computing, Financial Decision-Making, Data Security, Predictive Analytics, Enterprise Systems

Abstract

Healthcare organizations increasingly rely on data-driven financial systems to manage costs, ensure regulatory compliance, and improve operational efficiency. The integration of Secure AI-Enabled SAP Cloud platforms offers a robust solution for enhancing healthcare financial decision-making by combining advanced analytics, automation, and enterprise-grade security. This approach leverages artificial intelligence to analyze large volumes of financial, clinical, and operational data in real time, enabling accurate forecasting, fraud detection, revenue cycle optimization, and strategic planning. Cloud-based SAP architectures provide scalability, reliability, and interoperability while ensuring compliance with healthcare regulations such as HIPAA and data protection standards. Security mechanisms including identity access management, encryption, and continuous monitoring further protect sensitive financial and patient data. By unifying finance, analytics, and security within an intelligent SAP cloud ecosystem, healthcare organizations can achieve improved transparency, faster decision cycles, and sustainable financial performance. The proposed framework highlights how secure AI-driven SAP platforms can transform healthcare financial management into a resilient, efficient, and insight-driven process.

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Published

2024-05-15

How to Cite

Enhancing Healthcare Financial Decision-Making using Secure AI-Enabled SAP Cloud Platforms. (2024). International Journal of Research and Applied Innovations, 7(3), 10748-10754. https://doi.org/10.15662/IJRAI.2024.0703007