Demystifying Big Data for Healthcare

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Authors: Arti Ranjan, Inderpreet Kaur, Vishnu Sharma
Cited by: 0
References: 2

Abstract

Big data revolutionizes the health sector to enable personalized healthcare, predictive modeling, and advanced analytics. However, many health professionals find it difficult to fully understand and use the possibilities. By examining its key elements, objectives, and difficulties, this paper attempts to turn big data into hoaxes in the healthcare system. We pursue ways to use artificial intelligence (AI) and machine learning (ML) to process large amounts of unstructured data to improve patient outcomes, work more efficiently, and make better decisions, from genomics and portable technologies to electronic health records (EHRs) (honors). It also covers data protection, integration, and data security issues and provides best practices. This chapter provides a thorough guide to healthcare stakeholders who want to use the power of technology by simplifying difficult ideas and providing examples of practical applications. In chapter “Demieing Big Data in Healthcare,” the author thoroughly investigates how big data revolutionizes the health sector. This chapter is divided into logically discrete and related sections, each focusing on key aspects of the use of big data in healthcare.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Big Data Technologies and Applications

Publication details

Pages
217–244
Publication date
13 February 2026
Language
EN