The Role of Data Analytics in Optimizing Hospital Resource Allocation and Decision-making

Danny Pattirajawane

doi:10.30872/jtpc.vi.291

Authors

Danny Pattirajawane Atma Jaya Hospital Author

DOI:

https://doi.org/10.30872/jtpc.vi.291

Keywords:

analytics, hospital, resource allocation, decision-making, ai

Abstract

Data analytics has emerged as a transformative force in optimizing hospital resource allocation and decision-making processes. The integration of advanced technologies such as artificial intelligence, machine learning, and the Internet of Things has significantly enhanced the efficiency and effectiveness of healthcare delivery systems. These technologies enable hospitals to leverage vast amounts of data for improved clinical support, resource allocation, and operational efficiency. The implementation of data analytics in healthcare has led to several key benefits, including improved patient outcomes, cost reduction, enhanced predictive analysis capabilities, and more efficient resource optimization. However, the adoption of data analytics in healthcare settings faces several challenges, such as issues related to data quality and standardization, privacy and security concerns, and resistance to change within organizational structures. Addressing these challenges requires a comprehensive approach involving technological advancements, policy reforms, and cultural shifts within healthcare institutions. Emerging trends in healthcare data analytics point towards increased integration of artificial intelligence and deep learning technologies, promising to further enhance predictive modeling capabilities, real-time analytics, and the incorporation of diverse data sources for more precise and efficient healthcare delivery. While data analytics offers immense potential for optimizing hospital resource allocation and decision-making, its successful implementation necessitates ongoing research, interdisciplinary collaboration, and the development of robust frameworks to address ethical and practical challenges.

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