Strategic Innovations in Healthcare Data Management and Advanced Analytics for Enhancing Clinical Decision-Making and Operational Efficiency
Keywords:
Healthcare Data Management, Big Data Analytics, Clinical Decision-Making, Operational Efficiency, Artificial Intelligence, Machine Learning, Predictive Analytics, Electronic Health Records, Data Governance, Health InformaticsAbstract
The integration of advanced data management and analytics in healthcare has revolutionized clinical decision-making and operational efficiency. This paper explores strategic innovations in healthcare data management, emphasizing the role of big data analytics, artificial intelligence (AI), and machine learning (ML) in enhancing patient outcomes and streamlining operations. Through a comprehensive literature review of studies published before 2024, we analyze the evolution of data management practices, the adoption of predictive analytics, and the challenges faced in implementing these technologies. The findings underscore the transformative potential of data-driven strategies in healthcare and provide recommendations for future advancements
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