review · International Medical Science Research Journal
Big data analytics, supported by advances in genomic sequencing, artificial intelligence, and wearable devices, presents significant opportunities to transform healthcare and advance personalised medicine. These tools facilitate precision diagnostics, customised treatments, and predictive health interventions. However, several barriers remain that prevent widespread adoption. Key challenges include data privacy issues, ethical concerns, and technical complexities. Addressing these difficulties requires stronger cybersecurity frameworks, strategies to mitigate bias, improvements in data quality, and targeted investments in digital infrastructure and workforce training. In addition, healthcare policies and regulatory guidelines must adapt to match these rapid technological developments. Realising the broader benefits of big data, including enhanced patient care and greater operational efficiency across healthcare systems, will ultimately depend on interdisciplinary collaboration alongside ongoing research and innovation.
Personalised medicine relies on tailoring healthcare decisions and treatments to individual patients rather than applying generalised approaches. By analysing large-scale health data, medical providers can detect diseases earlier and design more effective therapies. However, establishing public trust and ensuring equitable care requires resolving pressing issues regarding data privacy, technical capability, and ethical regulation across health systems.
The review discusses broad application areas for healthcare providers and technology developers, including wearable health devices, precision diagnostic tools, and predictive analytics systems. However, because the text is a broad review of advances and systemic barriers rather than an evaluation of a specific product or pipeline, it does not detail a direct commercialisation pathway or define the technology readiness level of particular solutions.
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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
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DOI: 10.51594/imsrj.v4i2.810
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