Research On The Use Of Big Data Assignment Paper

Research On The Use Of Big Data Assignment Paper

Big Data

Healthcare workers use Big Data daily. Big Data consists of specifics obtained through technology that are reviewed and compiled to form patterns associated with an individual. In healthcare, Big Data can assume many forms. Providers use big data to trend patients’ disease processes, determine whether treatments are working, and predict future problems.

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Big Data Use During Covid

Big Data use has been crucial during the Covid Pandemic. Per Khamisy-Farah et al. (2021)Research On The Use Of Big Data Assignment Paper, Big Data also plays a vital role in maintaining currency with continuing education during the covid pandemic. One of the most recent positive uses of Big Data is to trend Covid-19 in specific and surrounding areas. This data has been beneficial in preparing communities for uptake in the virus locally and allowing society to arrange for necessities if they choose to self-quarantine.

The government has utilized Big Data throughout the Covid-19 pandemic to track the effects of social distancing. Mahmoudi and Xiong (2022) state that collected data on Covid-19 has been beneficial in decreasing Covid-19 transfer and mortality. After data has been collected, it is reported to the news sites to allow knowledge to be easily accessible to the public. It is up to the individual to decide to limit public interaction if Covid has increased in their area and self-monitor for any possible symptoms to prevent the spread of Covid.

Big Data Proposal

During the beginning of Covid-19, data was not readily available to track the spread of Covid. This created many issues with supply limitations to the regions that were hit the hardest. Many hospitals dealt with inadequate blood supply and not enough personal protective equipment (PPE) for staff. Most facilities had to prioritize ventilators and high-flow distribution to those patients with the best chance of survival.

To better prepare for the onslaught of Covid-19 cases, hospital systems should utilize Big Data information to obtain equipment that will likely be needed. Cuvero et al. (2021) propose using a three-phase program for preparedness. The three parts of this model are the proactive, concurrent, and reactive segments. I suggest employing the collected Big Data information and restocking all supplies before important health events. This has been used to some extent, but hospitals should borrow crucial equipment from facilities at a decreased risk for immediate Covid assault to prepare further. If this is done correctly, facilities will not run the risk of not having enough equipment to care for their patients. Research On The Use Of Big Data Assignment Paper

If Big Data predicts the northwest will be hit first with new deadly strains, the equipment could be borrowed from several regions east to prepare. This borrowing system should continue in the same fashion as the wave crosses the United States. It would mean that equipment would be borrowed from the western states once the strain enters the southeast. Borrowing from several regions away should allow ample time for each area to get through the time of highest infection rates. To facilitate this process, specific hospital systems should collaborate to borrow from one another.

Risks of Utilizing Big Data

Sometimes we depend on Big Data an excessive amount to predict the future. Due to the varying levels of data, some technology might not be able to analyze the data (Leung and Zhao 2021) precisely. Data analysis must be thoroughly examined for accuracy before distribution. Hospital systems should take extra care to ensure proper equipment and techniques are utilized to analyze Big Data before affecting patient care. Take vital sign data; if appropriate methods are not in place to compile and trend one’s vital signs, a patient could accrue unnecessary nights or treatment during hospitalization.

References

Cuvero, M., Pilkington, A., & Barnes, D. (2021). Supply Chain Management and Resilience During Disruption. Evaluation of the Covid-19 Pandemic on the Supply of Personal Protective Equipment. 2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Industrial Engineering and Engineering Management (IEEM), 2021 IEEE International Conference On, 233–237. https://doi.org/10.1109/IEEM50564.2021.9672913

Khamisy-Farah, R., Gilbey, P., Furstenau, L. B., Sott, M. K., Farah, R., Viviani, M., Bisogni, M., Kong, J. D., Ciliberti, R., & Bragazzi, N. L. (2021). Big Data for Biomedical Education with a Focus on the COVID-19 Era: An Integrative Review of the Literature. International Journal of Environmental Research and Public Health, 18(17). https://doi.org/10.3390/ijerph18178989

Leung, C. K., & Zhao, C. (2021). Big Data Intelligence Solution for Health Analytics of COVID-19 Data with Spatial Hierarchy. 2021 IEEE 7th International Conference on Big Data Intelligence and Computing (DataCom), Big Data Intelligence and Computing (DataCom), 2021 IEEE 7th International Conference on, DATACOM, 13–20. Research On The Use Of Big Data Assignment Paper https://doi.org/10.1109/DataCom53700.2021.00009

Mahmoudi, J., & Xiong, C. (2022). How social distancing, mobility, and preventive policies affect COVID-19 outcomes: Big data-driven evidence from the District of Columbia-Maryland-Virginia (DMV) megaregion. PloS One, 17(2), e0263820. https://doi.org/10.1371/journal.pone.0263820

Hello Leigh,

Your research on the use of Big Data during COVID-19 management is very insightful. I gathered that the management of a considerable quantity of information about these COVID-19-infected patients is made possible by big data technology (Bragazzi et al., 2020). It makes a more in-depth study of the biological processes of the virus possible. Furthermore, the information gathered may be used to develop more effective preventative strategies in the future. When using this strategy, all of the data for COVID-19-affected cases are maintained (infected, recovered, and expired). Massive data sets with a wide, more diversified, and dynamic structure for the issue preservation, processing, and presentation of following processes or consequences are referred to as “big data.”

Big data gives researchers, medical experts, and epidemiologists access to a wealth of information that enables them to generate informed opinions on the most effective methods for combating the COVID-19 virus (Sheng et al., 2021). These data might be used in the continuous monitoring of the sickness on a global scale as well as in the promotion of medical innovation. It will help determine how COVID-19 will impact a specific location and the whole population. It makes it easier to conduct research and create innovative treatment methods. Analytics performed on large amounts of data will serve as a pandemic tool for monitoring, administering, studying, and preventing COVID-19 (Pham et al., 2020)Research On The Use Of Big Data Assignment Paper. It will lead to an increase in the production of vaccines employing contemporary production techniques and diversification of the demand. The use of big data allows for better insights and assessments of the factors that determine the successful containment of infected persons. Artificial intelligence may greatly aid the fight against this pandemic, especially in areas such as health research, natural language processing, social networking, and mining enormous amounts of scientific literature.

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References

Bragazzi, N. L., Dai, H., Damiani, G., Behzadifar, M., Martini, M., & Wu, J. (2020). How big data and artificial intelligence can help better manage the COVID-19 pandemic. International journal of environmental research and public health, 17(9), 3176. https://www.mdpi.com/1660-4601/17/9/3176/pdf

Pham, Q. V., Nguyen, D. C., Huynh-The, T., Hwang, W. J., & Pathirana, P. N. (2020). Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts. IEEE access, 8, 130820. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8545324/

Sheng, J., Amankwah‐Amoah, J., Khan, Z., & Wang, X. (2021). COVID‐19 pandemic in the new era of big data analytics: Methodological innovations and future research directions. British Journal of Management, 32(4), 1164-1183. https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/1467-8551.12441 Research On The Use Of Big Data Assignment Paper