International Journal on Science and Technology

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Data Engineering in Healthcare: Transforming Personalized Medicine and Diagnosis

Author(s) Santhosh Kumar Rai
Country United States
Abstract Data engineering has emerged as a transformative force in healthcare, fundamentally changing how personalized medicine and diagnostic approaches are implemented in clinical settings. By creating robust infrastructures that integrate diverse sources of patient information—from genomic sequences to
electronic health records, medical imaging, and wearable devices—data engineers enable comprehensive patient profiles that support truly personalized treatment decisions. These technical foundations address complex challenges, including data integration across siloed systems, scalability for exponentially
growing information volumes, quality governance, and advanced analytics requirements. Implementing such systems has significantly improved diagnostic speed, treatment selection precision, and clinical outcomes across multiple medical specialties. As healthcare continues its digital transformation, data
engineers navigate evolving challenges related to privacy protection, edge computing for point-of-care diagnostics, inclusive design for diverse populations, and ethical implementation of artificial intelligence in clinical workflows. Their work stands at the critical intersection of technical innovation and patient
care, driving healthcare toward more precise, personalized, and accessible delivery models
Keywords Artificial intelligence, Data governance, Edge computing, Personalized medicine, Privacy preservation
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-16
Cite This Data Engineering in Healthcare: Transforming Personalized Medicine and Diagnosis - Santhosh Kumar Rai - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2438
DOI https://doi.org/10.71097/IJSAT.v16.i1.2438
Short DOI https://doi.org/g88sbr
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