Paper Details

Name: Y. Kanaka Durga, P. Neelima, M. Pranathi, T. Mohana Sri & B. Srikantha
Country: India

Year: 2025
Volume: Volume No: 12, Issue No: 2, Year: 2025
Page Number: 146-150
DOI: https://doi.org/10.5281/zenodo.20605583

ABSTRACT:
Analytics plays a vital role in the healthcare sector by turning large volumes of data into
meaningful information. Hospitals and clinics collect massive data from electronic health
records, medical devices, and administrative systems, and business analytics helps make
sense of it. Through techniques like predictive, prescriptive, and descriptive analysis,
healthcare organizations can identify patients at risk, suggest suitable treatments, and
improve the overall quality of care. Tools such as machine learning and data visualization
also help in better resource management, emergency planning, and offering more
personalized healthcare services. In this way, analytics not only supports patient well-being
but also ensures smoother operations and stronger financial outcomes.
At the same time, using analytics in healthcare faces some challenges. Data privacy, scattered
information, and a shortage of trained professionals remain big hurdles. To overcome these,
proper data management, clear standards for sharing information, and staff training are
essential. Despite these difficulties, business analytics continues to be a game-changer in
healthcare. It encourages innovation, efficiency, and sustainability in the long run. Looking
ahead, future studies must also address the ethical use of analytics and explore how
technologies like artificial intelligence can further improve healthcare management and
patient outcomes.
Keywords: Healthcare Management, Bu