Harnessing Big Data Analytics for Healthcare Quality Improvement: Challenges and Opportunities
Abstract
Big data analytics holds immense potential for enhancing healthcare quality and safety through data-driven decision-making and performance improvement initiatives. This paper examines the role of big data analytics in healthcare quality improvement, focusing on its applications in clinical outcomes analysis, population health management, and operational efficiency optimization. The paper discusses challenges related to data governance, interoperability, and algorithm bias, and proposes strategies to address these obstacles. Furthermore, the paper explores ethical considerations surrounding data usage and privacy protection. By leveraging big data analytics effectively, healthcare organizations can drive continuous quality improvement efforts and deliver better patient-centered care.
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References
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