Journal of Advances in Developmental Research

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Advancements in Healthcare Analytics: Improving Patient Outcomes and Streamlining Operations

Author(s) Divya Chockalingam
Country United States
Abstract Healthcare analytics has emerged as a transformative force in the medical industry, utilizing data-driven techniques to enhance patient outcomes and optimize operational efficiency. The integration of machine learning, artificial intelligence, and big data analytics has provided healthcare providers with unprecedented insights, allowing for predictive diagnostics, personalized treatment plans, and improved hospital management. This paper explores the advancements in healthcare analytics, addressing the challenges faced by the industry and the potential solutions. Additionally, it examines the impact of analytics on patient care, operational efficiency, and the future scope of its applications. The discussion also highlights the role of cloud computing, blockchain technology, and Internet of Things (IoT) in further strengthening healthcare analytics. With healthcare systems worldwide under pressure to improve efficiency while maintaining quality, leveraging analytics has become indispensable.
Keywords Healthcare Analytics, Artificial Intelligence, Big Data, Patient Outcomes, Predictive Analytics, Operational Efficiency, Machine Learning, Personalized Medicine, Blockchain, Cloud Computing, IoT.
Field Medical / Pharmacy
Published In Volume 15, Issue 2, July-December 2024
Published On 2024-09-11
Cite This Advancements in Healthcare Analytics: Improving Patient Outcomes and Streamlining Operations - Divya Chockalingam - IJAIDR Volume 15, Issue 2, July-December 2024. DOI 10.5281/zenodo.15104207
DOI https://doi.org/10.5281/zenodo.15104207
Short DOI https://doi.org/g897zz
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