Data-driven Precision Medicine: AI, ML, and Master Data Management in Healthcare
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Abstract
This abstract explores the intersection of data-driven precision medicine and the synergistic application of artificial intelligence (AI), machine learning (ML), and master data management in the healthcare domain. With the increasing volume and complexity of healthcare data, integrating AI and ML techniques with robust master data management becomes imperative for enhancing patient outcomes, optimizing decision-making processes, and advancing personalized healthcare. The paper delves into the challenges and opportunities associated with implementing these technologies in healthcare settings, examining their impact on data quality, governance, and overall healthcare ecosystem transformation. By addressing these aspects, the research contributes to the ongoing discourse on leveraging advanced technologies to revolutionize healthcare information management, paving the way for more efficient and effective precision medicine strategies.
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