A comprehensive review of data analytics in healthcare management: Leveraging big data for decision-making

Abstract

This research paper presents a comprehensive review of data analytics in healthcare management, focusing on leveraging big data for decision-making. The literature review explores the historical evolution of data analytics, emphasizing its growing importance in clinical support, resource allocation, and operational efficiency within the healthcare sector. The paper discusses fundamental concepts, methodologies, and emerging trends, including integrating artificial intelligence, real-time analytics, and the impact of wearable technologies. Challenges such as data quality, privacy, and interoperability are identified, along with recommendations for future research. The findings underscore the pivotal role of data analytics in transforming healthcare decision-making processes, with implications for precision medicine, preventive healthcare, and enhanced patient outcomes.