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PUBH8545 Advanced Analysis Of Community Health Data And Surveillance In Public Health

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  • Course Code: PUBH8545
  • University: Walden University
  • Country: United States

Question:

Do you think that analyzing and using big data in health care can provide crucial answers and lead to great innovation and breakthroughs?

To what extent do you think that privacy and data security concerns and the potential misuse of data outweigh the potential advantages?

Describe how local health authorities can use secondary data sources in their jurisdictions.

Support your post based on the Learning Resources and current literature. Use APA formatting for your Discussion and to cite your resources.

 

Answer:

Introduction

The assignment deals with the analysis of the research article, titled, “Health big data analytics: current perspectives, challenges and potential solutions” by Kuo et al. (2014). The article is focused on the big data use in the health care.  The objective of the paper is to discuss the characteristics of the big data of health and its challenges. The researcher aims to identify the solution for health big data analytics to design the pipelined framework to guide the heath care workers. The health care providers face challenge to extract data from the health information systems such as CPOE, EHRs, PACS and CDSS, that are generating huge volume of data. The author discusses and analyses various data sets such as OASIS, and UHDDS.  The framework developed by the author enables the users to characterise the health big data and specific factors. It will enable the users to investigate analytic challenges and solutions in the data process pipeline.  The author has well addressed research questions by developing the framework based on solutions for challenges in the area of data aggregation, maintenance, integration, analysis, and interpretations. The findings are relevant as the data aggregated are from the old and new literature. The data incorporated by the author in this regard is sourced from research conducted from 2005 to 2015. The study greatly contributes to the advancing BDA in healthcare.

 


Nurses are frontline carers of patients and play vital role in collection of health data. Intense use by the nurses and clinicians will lead to major breakthrough and innovations. This is based on the evidence from big changes already occurred through use of big data (Brennan & Bakken, 2015). It includes pairing of the big data with a single lead EEG for cardiac monitoring. The next thing is the storage of the medical imagery, health records, to digital storage method (Sensmeier, 2015). Further, innovations may include application of predictive technology in more areas using artificial intelligence. It would be easier to predict people who may be sick. However, the privacy issues are out weighting the advantages. The nurses must be tech savvy enough to preserve the confidentiality of the information. The health care providers too believe in overhaul to the current privacy regulations.  However, fraud detection system in big data can overcome and outweigh this drawback (Brennan & Bakken, 2015).

The local health authorities can use the secondary source of health data to get the magnitude of health issue. Data includes patients health records, personal health records, health databases, and survey reports.  However, the confidentiality must be maintained and misconduct   must be addressed. The examples of the secondary health data sources are Disability and Health Data System, CDC wonder, West Virginia Annual Surveillance Data for Reportable Diseases,and in Austraaliaa, the Handbook for the Management of Health Information in Private Medical Practice are some examples of secondary sources of health data. For instance, CDC wonder produces customised table on the cancer statistics, AIDS, birth, STDs and others (LaTour et al., 2013).

 

References

Brennan, P. F., & Bakken, S. (2015). Nursing needs big data and big data needs nursing. Journal of Nursing Scholarship, 47(5), 477-484. DOI: https://doi.org/10.1111/jnu.12159

Kuo, M. H., Sahama, T., Kushniruk, A. W., Borycki, E. M., & Grunwell, D. K. (2014). Health big data analytics: current perspectives, challenges and potential solutions. International Journal of Big Data Intelligence, 1(1-2), 114-126. Retrieved from: https://sci-hub.tw/https://www.inderscienceonline.com/doi/abs/10.1504/IJBDI.2014.063835

LaTour, K. M., Eichenwald, S., & Oachs, P. (2013). Health information management: Concepts, principles, and practice. Ahima. ISBN:  1584261420, 9781584261421

 Sensmeier, J. (2015). Big data and the future of nursing knowledge. Nursing management, 46(4), 22-27. DOI: 10.1097/01.NUMA.0000462365.53035.7d

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