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Real-time Monitoring and Predictive Analytics in Healthcare: Harnessing the Power of Data Streaming

by Sameer Shukla
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 185 - Number 8
Year of Publication: 2023
Authors: Sameer Shukla
10.5120/ijca2023922738

Sameer Shukla . Real-time Monitoring and Predictive Analytics in Healthcare: Harnessing the Power of Data Streaming. International Journal of Computer Applications. 185, 8 ( May 2023), 32-37. DOI=10.5120/ijca2023922738

@article{ 10.5120/ijca2023922738,
author = { Sameer Shukla },
title = { Real-time Monitoring and Predictive Analytics in Healthcare: Harnessing the Power of Data Streaming },
journal = { International Journal of Computer Applications },
issue_date = { May 2023 },
volume = { 185 },
number = { 8 },
month = { May },
year = { 2023 },
issn = { 0975-8887 },
pages = { 32-37 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume185/number8/32724-2023922738/ },
doi = { 10.5120/ijca2023922738 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:25:36.397345+05:30
%A Sameer Shukla
%T Real-time Monitoring and Predictive Analytics in Healthcare: Harnessing the Power of Data Streaming
%J International Journal of Computer Applications
%@ 0975-8887
%V 185
%N 8
%P 32-37
%D 2023
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Healthcare providers are increasingly turning to data streaming technologies to monitor patient health in real-time and predict potential health issues before they arise. This paper explores the use of data streaming in healthcare, covering topics such as real-time monitoring of patient health, predictive analytics for disease diagnosis and prevention, streamlining clinical trials through data streaming, and wearable devices and data streaming in healthcare. The paper also includes several use cases that demonstrate the potential of data streaming in healthcare, as well as a discussion of the challenges associated with implementing data streaming in healthcare, including data security and privacy, interoperability, data quality, regulatory compliance, infrastructure requirements, and data governance. By highlighting the potential of data streaming to improve patient outcomes and enable personalized medicine, this paper provides insights into how healthcare providers can leverage data streaming technologies to provide better patient care.

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Index Terms

Computer Science
Information Sciences

Keywords

Data streaming Predictive analytics Patient-generated data Wearable devices Clinical trials Apache Kafka Apache Flink Spark Streaming Amazon Kinesis Google Cloud Pub/Sub Tableau Machine learning

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