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.
Authors
- J.K. Aggarwal
Institutions
- Carnegie Mellon University (US)
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