Real-Time Data Processing in Healthcare: Architectures and Applications for Immediate Clinical Insights

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Mitul Tilala, Saigurudatta Pamulaparthyvenkata, Abhip Dilip Chawda, Abhishek Pandurang Benke

Abstract

Many important applications of data processing are there in the sector of healthcare. This is needed for the different aspects of treatment. In this report, there is a description of the architecture of the process of doing the data processing in this sector. Other than this, several applications for processing data are also present in this report. It can be seen that there are different necessities for processing data in this sector. Some of these are making proper decisions, and carrying out the work efficiently. There are several applications and processes such as “stream processing”, & “edge computing” are investigated here. There are many important applications of this work in the sector of healthcare. Among these, the most important applications such as monitoring the patients, making predictions about the conditions of the patients, and the detection of the anomaly were analyzed here in this report. There are technologies like “machine learning’ and “IoT systems” that can be helpful in this regard.

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How to Cite
Mitul Tilala. (2024). Real-Time Data Processing in Healthcare: Architectures and Applications for Immediate Clinical Insights. International Journal on Recent and Innovation Trends in Computing and Communication, 11(11), 1119–1125. Retrieved from https://ijritcc.org/index.php/ijritcc/article/view/10629
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