The Role of Big Data in Personalized Healthcare: Integrating Genomic, Clinical, and Behavioral Data

Author(s)	Syeda Kawsar
Country	United States
Abstract	Precision medicine is becoming a crucial part of the healthcare system's care delivery, improving patient diagnostic and treatment outcomes. This expansion can be attributed to the new data science technologies that have made it possible to simulate complicated illnesses. The foundation of precision medicine is genomics and omics capabilities, which offer data on molecular proteins and biomarkers that may result in new treatments for patients with a variety of illnesses. However, the ability to evaluate, interpret, and integrate data is one of the primary issues with precision medicine. As a result, the shift from traditional to precision medicine is not seamless. Thus, this study examines the drawbacks of big data and talks about the advantages of overcoming them. The implementation of Big Data Analytics (BDA) in healthcare will enable the application of new technologies for patient treatment as well as health management.
Keywords	Big data, challenges, benefits, medicine, clinical data, strategy, personalized healthcare.
Field	Engineering
Published In	Volume 3, Issue 1, January-February 2021
Published On	2021-01-05
DOI	https://doi.org/10.36948/ijfmr.2021.v03i01.38172
Short DOI	https://doi.org/g86xrd

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International Journal For Multidisciplinary Research