Advancements in Systems Medicine using Big Data Analytics
7 Pages Posted: 3 Apr 2019
Date Written: April 2, 2018
Health care analytics is described as a set of computational approaches for molding raw clinical data into consequential insights and new discoveries. This processed knowledge can then be used to infer more efficient decision-making strategies with reduced costs and improved outcomes. Biologically derived information is being generated continuously and stored as e-medical records resulting in an information explosion citing us with data challenges. Computational Biology, Big Data Analytics (BDA) and Systems Biology have revolutionized the healthcare industry to P4, providing deep acumen into the disease mechanism by using blood as a diagnostic channel for perceiving well-being and diseased state of the patient, stratification of the disease for their unique subtypes to find a defiance match against particular drug thereby providing newer approaches for targeted drug delivery, making network medicine an open access thus the data acquired for similar diseases could be shared globally. This paper highlights the scope of Big Data analytics in present and the future. We conclude that with increasing interest of researchers towards big data analytics in healthcare and keen participation of individuals in real time healthcare data analytics, the net share of healthcare data analytics through mhealth and other resources have touched almost one fourth of the total global share of healthcare. The uneven expenditure of developed and underdeveloped nations could be bridged with systems medicine however more funds are required for research and innovation to invent newer strategies and technologies for dealing with the impacts of systems medicine along with building strategic partnerships with varied streams so as to make available systems medicine to maximum consumers. We have also analysed the mhealth industry and it’s adoptability within the population reaching the concluding that recent advancements and reduced costs of technology have incorporated healthcare analytical tools and techniques as an inherent part of our day to day life.
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