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.
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2026 · Journal of Water Resources Planning and Management
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Mustafa Pamuk et al. · 2024 · Machine Learning and Knowledge Extraction
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Sara Hjelle et al. · 2024 · Information Manager (The)
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2024 · International Journal of Human–Computer Interaction
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2024 · Machine Learning and Knowledge Extraction
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2023 · International Journal of Human-Computer Interaction
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Tooba Batool et al. · 2022 · Petra
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2022 ·
A sample of recent works citing this journal's research on Big Data Analytics in Healthcare, linking to each citing work.