Big Data Analytics in Healthcare: A Review of Recent Advances and Potential for Personalized Medicine

Abstract

This comprehensive review explores the profound impact of big data analytics on healthcare, focusing on its potential to revolutionize personalized medicine. Big data analytics, driven by technological innovations such as genomic sequencing, artificial intelligence, and wearable devices, offers transformative opportunities for precision diagnostics, treatment customization, and predictive healthcare. Despite the promises, challenges persist, including data privacy concerns, ethical considerations, and technical complexities. Overcoming these hurdles necessitates robust cybersecurity measures, bias mitigation strategies, enhanced data quality, and infrastructure and workforce development investments. Moreover, with updated regulations and ethical guidelines, healthcare policy and practice must adapt to accommodate the evolving digital landscape. Collaboration across disciplines and ongoing research and innovation are essential to fully harness the benefits of big data analytics, leading to improved patient care and healthcare system efficiency.
 Keywords: Big Data Analytics, Personalized Medicine, Healthcare Innovation, Data Privacy, Ethical Considerations, Precision Diagno. stics