Data Quality and Governance in Healthcare: Leveraging AI and ML for Master Data Management
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Abstract
This abstract explores the critical role of data quality and governance in the healthcare sector and proposes a framework for leveraging artificial intelligence (AI) and machine learning (ML) techniques in master data management (MDM). In an era where healthcare systems generate vast amounts of data, ensuring its accuracy, consistency, and security is paramount for informed decision-making and improved patient outcomes. The integration of AI and ML technologies into MDM processes can enhance data quality by automating error detection, improving data matching, and facilitating efficient data governance practices. This paper delves into the challenges and opportunities associated with implementing AI and ML for master data management in healthcare, providing insights into how these technologies can revolutionize the management and utilization of healthcare data.
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