Data Analytics in Healthcare: Revolutionizing Personalized Medicine and Diagnosis

Healthcare analytics has revolutionized medical treatment and diagnosis by transforming traditional practices into data-driven, personalized approaches. The integration of advanced analytical frameworks enables healthcare providers to process vast quantities of patient data, leading to improved diagnostic accuracy and treatment outcomes. These systems incorporate sophisticated pattern recognition, risk stratification, and real-time monitoring capabilities, fundamentally changing how healthcare professionals make clinical decisions. The implementation of personalized medicine through analytics has enhanced treatment efficacy across various therapeutic areas, particularly in oncology and chronic disease management. Despite technical challenges in data integration, security, and validation, modern healthcare analytics continues to evolve, offering increasingly precise and efficient solutions for patient care delivery.

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Publication Details

Journal
European Journal of Computer Science and Information Technology
Published
2025-04-15
DOI
https://doi.org/10.37745/ejcsit.2013/vol13n20104113
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
0.00
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article

Data Analytics in Healthcare: Revolutionizing Personalized Medicine and Diagnosis

J.K. Aggarwal
European Journal of Computer Science and Information Technology
Artificial Intelligence in Healthcare
article

Data Analytics in Healthcare: Revolutionizing Personalized Medicine and Diagnosis

J.K. Aggarwal
article en

Abstract

Healthcare analytics has revolutionized medical treatment and diagnosis by transforming traditional practices into data-driven, personalized approaches. The integration of advanced analytical frameworks enables healthcare providers to process vast quantities of patient data, leading to improved diagnostic accuracy and treatment outcomes. These systems incorporate sophisticated pattern recognition, risk stratification, and real-time monitoring capabilities, fundamentally changing how healthcare professionals make clinical decisions. The implementation of personalized medicine through analytics has enhanced treatment efficacy across various therapeutic areas, particularly in oncology and chronic disease management. Despite technical challenges in data integration, security, and validation, modern healthcare analytics continues to evolve, offering increasingly precise and efficient solutions for patient care delivery.

European Journal of Computer Science and Information TechnologyVol. 13(20)
Carnegie Mellon University (US)
Openalex Percentile: Top 88%
Artificial Intelligence in Healthcare
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