Abstract: Real-time data analytics, crucial for immediate data processing and decision-making, is transforming emergency telemedicine by enhancing patient care and operational efficiencies. This review examines the application and impact of real-time analytics in this field, employing a systematic literature review of recent studies from databases like PubMed and IEEE Xplore. Our findings reveal significant improvements, such as a 30% reduction in patient wait times and enhanced treatment accuracy by 25%. Key technologies include IoT devices, cloud computing, and machine learning algorithms. Despite advancements, challenges like data security and system integration persist. Future research should focus on refining these technologies and expanding their applications to overcome current limitations.
Keywords: real-time data analytics, emergency telemedicine, patient care, operational efficiency, healthcare technology.
Title: Review of Real-Time Data Analytics: Transforming Emergency Telemedicine
Author: Jagjot Bhardwaj, Sivanagaraju Gadiparthi
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
Vol. 12, Issue 2, April 2024 - June 2024
Page No: 62-68
Research Publish Journals
Website: www.researchpublish.com
Published Date: 29-June-2024
