Real-time monitoring is the process of collecting and storing performance metrics for data as it traverses your network. It involves polling and streaming data from infrastructure devices so that you know how your networks, applications, and services are performing.
Published in Chapter:
Applications of Big Data Analytics in Healthcare Informatics
Bhuvanendra Putchala (VIT-AP University, India), Lasya Sreevidya Kanala (VIT-AP University, India), Devi Prasanna Donepudi (VIT-AP University, India), and
Hari Kishan Kondaveeti (VIT-AP University, India)
Copyright: © 2023
|Pages: 20
DOI: 10.4018/978-1-6684-5499-2.ch010
Abstract
Most of the research data and medical notes are unstructured or semi-structured and can't be processed using conventional data processing techniques, which creates a surge for big data analytics. In this chapter, the authors discuss big data analytics in healthcare, sources of healthcare big data, electronic health records, and much more. The authors talk about different analytic techniques involved, as well as different big data tools such as Hadoop. This chapter explains all the applications of big data analytics in healthcare, including EHR. This chapter elaborates and explains how big data analytics is used during pandemics and its future scope in the areas of healthcare, including real-time alerts and how big data is useful in the financial management of healthcare and the use of AI and big data in strategic planning, telemedicine, and medical imaging and diagnostics. Thus, this chapter is helpful for academics, health informatics professionals, healthcare stakeholders, clinical researchers, and pharmaceutical companies interested in big data analytics in healthcare.