Big Data for Digital Healthcare Industry: Challenges and Future Perspectives


Authors : Yunika Kadayat; Sachin Sharma

Volume/Issue : Volume 8 - 2023, Issue 5 - May

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3Wp43rp

DOI : https://doi.org/10.5281/zenodo.7952013

Every next phase of industrial innovation will be greatly aided by the use of big data, which will allow us to gain new knowledge from the vast volumes of facts that contemporary life creates. The use of big data in healthcare has a lot of potential, but there are still significant problems to be overcome, including fragmentation, increased costs, and data related assets. It's crucial to balance the benefits of improved patient outcomes against the dangers of growing work - related stress due to subpar deployment and greater complexity when thinking about the potential role of big data in the future of digital healthcare. Healthcare, the field at which Big Data congregation and consumption got a head start with schemes like TCGA and the Cancer Moon Shot, offers an instructive example as we observe varying viewpoints sponsored by the United States (US), the United Kingdom (UK), and some other governments in the integration of Big Data in care delivery with specific regard to their consolidation and compliance methodology to data. We present recommendations for laws and regulations that govern the utilization of data in healthcare, concentrating on the creation of a unique worldwide registration Number that can include data from diverse healthcare providers. We also look at the negative aspects of big data, like the absence of miscellany in big data research and the issues with privacy and accessibility that come with machine learning algorithms.

Keywords : Internet of Things, Personalized Medicine, Big Data Analytics, Healthcare.

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