International Journal of Science, Engineering and TechnologyAuthors: Navika Purohitam
Abstract: The management of patient data in healthcare is increasingly complex due to growing volumes of sensitive information and evolving regulatory requirements. Traditional security measures in enterprise systems like SAP are often insufficient to address sophisticated cyber threats and ensure compliance. This article explores the integration of artificial intelligence with SAP systems to enhance patient data intelligence and security. AI technologies, including machine learning, predictive analytics, and natural language processing, enable real-time monitoring, anomaly detection, automated compliance checks, and intelligent decision-making. The combination of SAP’s robust data management infrastructure with AI-driven analytics provides healthcare organizations with a proactive approach to securing patient information, optimizing workflows, and improving operational efficiency. Case studies demonstrate that AI-enhanced SAP implementations reduce security breaches, streamline compliance, and support accurate, timely insights into patient care. The article also examines challenges such as technical complexity, data quality, privacy concerns, and cost, while highlighting emerging trends that promise more secure, intelligent, and scalable healthcare data management solutions. Integrating AI with SAP systems represents a forward-looking strategy for safeguarding patient information while enhancing the quality and efficiency of healthcare delivery.
