Impact of Artificial Intelligence Auditing, Natural Language Processing, and IT Technologies on the Sustainable Performance

Abstract

Ensuring sustainable performance in healthcare management requires accurate data governance, regulatory compliance, and efficient decision-making. This study examines the impact of real-time artificial intelligence auditing, natural language processing integration, and IT technologies on the sustainable performance. Real-time AI auditing automates compliance monitoring, detects anomalies, and minimizes manual oversight, ensuring regulatory adherence. Natural language processing enhances data extraction and interpretation, enabling more informed decision-making and optimizing workflow automation. Additionally, IT technologies, including cloud-based compliance systems, blockchain for secure data management, and AI-powered analytics, contribute to data security, interoperability, and process automation. Using a quantitative research approach, this study collected data from 300 respondents through a structured questionnaire. The findings indicate that AI-driven auditing significantly improves regulatory compliance and operational efficiency, while NLP integration enhances data processing accuracy and decision-making. Moreover, IT technologies strengthen data security and streamline processes, leading to better resource management in healthcare organizations.