Harnessing AI and data analytics for smarter healthcare solutions

Jeshwanth Reddy Machireddy *

Kforce INC, USA.
 
Research Article
International Journal of Science and Research Archive, 2023, 08(02), 785-798.
Article DOI: 10.30574/ijsra.2023.8.2.0105
Publication history: 
Received on 14 January 2023; revised on 11 March 2023 accepted on 13 March 2023
 
Abstract: 
The integration of Artificial Intelligence (AI) and Data Analytics in healthcare has emerged as a transformative force in improving the efficiency, accuracy, and accessibility of medical services. This research paper examines how AI-driven models and data analytics techniques are being harnessed to provide smarter healthcare solutions. Through the application of machine learning, predictive analytics, and data mining, healthcare providers can now analyze vast amounts of patient data, offering more accurate diagnostics, personalized treatment plans, and enhanced clinical decision-making. In particular, AI algorithms such as neural networks and deep learning are utilized for early disease detection, improving patient outcomes by predicting medical events before they occur. Results from case studies and clinical trials indicate that AI and data analytics have successfully reduced diagnostic errors, enhanced treatment efficiency, and facilitated faster decision-making, leading to improved patient satisfaction and cost-effective care. However, challenges remain, including data privacy concerns, the need for large and diverse datasets, and the requirement for further validation in real-world healthcare settings. This paper concludes by discussing the future potential of AI and data analytics to revolutionize healthcare systems globally, emphasizing the importance of interdisciplinary collaboration, ethical considerations, and continuous innovation.
 
Keywords: 
Artificial Intelligence; Data Analytics; Healthcare; Machine Learning; Predictive Analytics
 
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0