Challenges and Opportunities in Implementing AI and ML for Master Data Management in Healthcare
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Abstract
The abstract provides an overview of the challenges and opportunities associated with the implementation of Artificial Intelligence (AI) and Machine Learning (ML) in the context of Master Data Management (MDM) within the healthcare sector. It delves into the complexities of integrating AI and ML technologies into existing data management frameworks, emphasizing the potential for enhancing decision-making processes, improving patient outcomes, and optimizing healthcare systems. The abstract also addresses the inherent challenges, such as data quality and governance issues, while highlighting the transformative impact on precision medicine and the overall healthcare ecosystem. This exploration of challenges and opportunities aims to guide practitioners, researchers, and policymakers in navigating the dynamic landscape of AI and ML adoption for effective Master Data Management in healthcare.
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