Intelligent Healthcare Data Architectures: Combining Big Data, Machine Learning, and Precision Medicine
DOI:
https://doi.org/10.5281/zenodo.20423357Keywords:
keywords: Healthcare Big Data Architecture,Precision Medicine Analytics,Machine Learning in Healthcare,Clinical Data Integration,Predictive Healthcare Modeling,Electronic Health Records (EHR) Systems,Real-Time Health Data Processing,AI-Driven Diagnostics,Healthcare Data Interoperability,Personalized Treatment Algorithms.Abstract
Progress in big data architecture and machine learning are enabling the deployment of next-generation healthcare data platforms, which facilitate the transition from traditional healthcare to precision medicine in both clinical and research settings. Technical performance, clinical outcomes, and economic viability together influence the adoption of these platforms by hospitals and health systems. A big data architecture facilitates the ingestion and management of diverse and complex data sources—both structured and unstructured—at scale and with high quality. Advanced analytics and machine-learning models further enable the application of predictive, precision, prescriptive, and causal analytics across a range of clinical needs.
Novel applications of healthcare data in precision medicine include genomic data integration and cohort-specific variant interpretation, pharmacogenomics for personalized drug therapies, and the use of real-world evidence for the design of clinical trials. For cancer, platforms align genetic and genomic data with therapy information and treatment outcomes. Cloud-based solutions are also deployed in population health and biobank initiatives with a focus on COVID-19. Essential operational considerations for platform engineering are outlined, including infrastructure scaling, observability of data pipelines, quality assurance frameworks, and security and compliance controls. Advances in healthcare data also raise important ethical, legal, and social implications, particularly around patient privacy and the governance of artificial intelligence.
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