Unlocking the Potential of Healthcare Data: AI, ML, and Master Data Management Synergy

Authors

  • Dr. Rajiv Kapoor Author

Abstract

The abstract explores the synergistic integration of Artificial Intelligence (AI), Machine Learning (ML), and Master Data Management (MDM) in unlocking the vast potential of healthcare data. This interdisciplinary approach aims to enhance data quality, governance, and decision-making processes within the healthcare ecosystem. By leveraging AI and ML algorithms, healthcare organizations can analyze massive datasets, derive valuable insights, and improve precision medicine initiatives. Additionally, MDM plays a crucial role in organizing and maintaining the integrity of healthcare data, ensuring a reliable foundation for AI and ML applications. This paper examines the challenges and opportunities associated with this synergy, providing a comprehensive analysis of strategies to optimize patient outcomes, transform healthcare systems, and pave the way for data-driven innovations in the field.

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References

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Published

2024-02-11

Issue

Section

Articles

How to Cite

Unlocking the Potential of Healthcare Data: AI, ML, and Master Data Management Synergy. (2024). International Journal of Machine Learning and Artificial Intelligence, 5(5), 1-10. https://jmlai.in/index.php/ijmlai/article/view/21