Journal of Artificial Intelligence and Digital Health
ISSN:
3139-6267 (Online)
DOI Prefix (Crossref): 10.67238
Big Data in Medicine
Big Data in Medicine involves collecting, analyzing, and interpreting extremely large and complex healthcare datasets to improve clinical decision-making and patient outcomes. These datasets include electronic health records, imaging files, genomic data, wearable sensor outputs, and population health statistics. By applying AI and advanced analytics, big data helps identify disease patterns, predict risks, and personalize treatment strategies. It supports public health surveillance, clinical research, and operational efficiency in hospitals. Big data also enables early detection of outbreaks and optimizes resource allocation. Overall, it empowers healthcare systems to become more proactive, precise, and evidence-driven.
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