Abstract:
The healthcare sector is undergoing significant digital transformation due to increasing
costs, regulatory changes, demographic shifts and technological progress. In this environment,
data analytics has emerged as an essential tool for improving healthcare delivery, operational
efficiency and financial performance. This paper explores the strategic integration of data
analytics in healthcare through a qualitative review of academic and industry literature. It
examines the role of descriptive, predictive and prescriptive analytics in enhancing patient
care, hospital management and public health outcomes. Findings suggest that analytics can
improve diagnostic precision, reduce hospital readmissions and optimize resource utilization.
However, challenges such as fragmented data systems, interoperability limitations, privacy
concerns and algorithmic bias continue to restrict widespread implementation. To overcome
these barriers, the study proposes a governance-oriented framework emphasizing leadership
support, data quality management, ethical practices and interdisciplinary skill development.
The research positions data analytics as a strategic asset in modern healthcare systems
