Research Topic · Peer-Reviewed

Big Data Analytics in Healthcare

Big data analytics in healthcare is the process of collecting and analyzing large data sets in order to identify patterns, trends, and correlations within the data that can help improve healthcare processes. By leveraging big data, healthcare organizations are able to get insights into patient preferences and their …

Curated from this journal's research 📚 2 peer-reviewed articles cited Cited 12× across the literature 🔖 ISSN 2768-0207 🗓 Reviewed June 2026

Overview

Big data analytics in healthcare is the process of collecting and analyzing large data sets in order to identify patterns, trends, and correlations within the data that can help improve healthcare processes. By leveraging big data, healthcare organizations are able to get insights into patient preferences and their health outcomes, helping them to better predict, diagnose and treat illnesses. Big data can also be used to analyze healthcare costs, improve operational efficiency, and drive better decisions about patient care. Big data analytics has the potential to revolutionize the healthcare industry, providing healthcare professionals with the tools to more accurately and quickly diagnose, treat, and ultimately prevent diseases.

Research published in this journal

2 peer-reviewed articles, ranked by relevance. Each links to its DOI.

How this research is being cited

The 2 articles above have been cited 12 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.

A sample of recent works citing this journal's research on Big Data Analytics in Healthcare, linking to each citing work.

Editorial oversight

Curated from peer-reviewed research published in Big Data Research (ISSN 2768-0207).

Journal editorial board
Professor Shangming Zhou · United Kingdom Professor Hong Lin · United States Dr. Rami H. Al-Rifai · United Arab Emirates

This page summarises published research for orientation; it is not medical or professional advice.