International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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Transforming Healthcare with Real-Time Big Data Analytics: Opportunities, Challenges, and Future Directions

Author(s) Shamnad Mohamed Shaffi
Country United States
Abstract Real-time big data analysis is already disrupting healthcare by changing the way decisions are made, treatment given, and organizations and processes managed. Using technologies like AI, IoT, and cloud computing, healthcare organizations can analyze large data sets alerting patients to diseases, picking appropriate treatments, and determining where resources will be essential. In this article, we explores the progress, opportunities, and issues of real-time analytics in the healthcare industry and the sort such as predictive analytics, patient supervision, and telemedicine implementation. Despite the ethical issues, data privacy and system integration issues remain potent barriers, trends such as precision medicine and digital health mapping of the world present the implementation of a brave new world in the delivery of healthcare. For this, there is a need for innovation through embracing technology, sector collaboration and, most importantly, proper regulation in order to foster and promote secure usage for people.
Keywords Real-time big data analytics, Healthcare transformation, Artificial Intelligence, Machine learning, IoT, Cloud computing, Predictive analytics, Patient supervision, Telemedicine, Precision medicine, Digital health mapping, Data privacy, Healthcare IT solutions, Proactive care, System integration, Healthcare security, Digital health innovation.
Field Computer Applications
Published In Volume 7, Issue 1, January-February 2025
Published On 2025-02-05
Cite This Transforming Healthcare with Real-Time Big Data Analytics: Opportunities, Challenges, and Future Directions - Shamnad Mohamed Shaffi - IJFMR Volume 7, Issue 1, January-February 2025.
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E-ISSN 2582-2160
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