NURS 6051C Discussion: Big Data Risks and Rewards Essay

NURS 6051C Discussion: Big Data Risks and Rewards Essay

NURS 6051C Discussion: Big Data Risks and Rewards Essay

When you wake in the morning, you may reach for your cell phone to reply to a few text or email messages that you missed overnight. On your drive to work, you may stop to refuel your car. Upon your arrival, you might swipe a key card at the door to gain entrance to the facility. And before finally reaching your workstation, you may stop by the cafeteria to purchase a coffee.

From the moment you wake, you are in fact a data-generation machine. Each use of your phone, every transaction you make using a debit or credit card, even your entrance to your place of work, creates data. It begs the question: How much data do you generate each day? Many studies have been conducted on this, and the numbers are staggering: Estimates suggest that nearly 1 million bytes of data are generated every second for every person on earth.

As the volume of data increases, information professionals have looked for ways to use big data—large, complex sets of data that require specialized approaches to use effectively. Big data has the potential for significant rewards—and significant risks—to healthcare. In this Discussion, you will consider these risks and rewards.

To Prepare:

  • Review the Resources and reflect on the web article Big Data Means Big Potential, Challenges for Nurse Execs.
  • Reflect on your own experience with complex health information access and management and consider potential challenges and risks you may have experienced or observed. NURS 6051C Discussion: Big Data Risks and Rewards Essay

By Day 3 of Week 4

Post a description of at least one potential benefit of using big data as part of a clinical system and explain why. Then, describe at least one potential challenge or risk of using big data as part of a clinical system and explain why. Propose at least one strategy you have experienced, observed, or researched that may effectively mitigate the challenges or risks of using big data you described. Be specific and provide examples. NURS 6051C Discussion: Big Data Risks and Rewards Essay

Big data risks and rewards

Big data within the context of health care refers to all the data generated from interactions between stakeholders and health care systems. In fact, they are information collected from medical devices, pharmaceutical research, mayor records, genomic sequencing, medical imaging, and electronic health records. Other sources of big data include public records, search engines, smart phones, government agencies, patient portals, and research studies (Tavazzi, 2019). Big data is useful for the health care industry. In this case, appropriate software and data analysis tools can be leveraged to determine trends and themes in the big data, which would then act as actionable information that informs advancements such as cost reduction, improved safety, better care outcomes, and value-based health care. With the wealth of analytics information from big data, stakeholders in the health care industry can make better financial and medical information as increasing quality of health care is delivered (Dash et al., 2019). Still, the use of big data is hindered by some challenges. NURS 6051C Discussion: Big Data Risks and Rewards Essay. The first challenge is the privacy of health information since most medical data is protected and its use in analytics without the express permission of the patient could be construed as violation of existing confidentiality and privacy regulations. The second challenge is data security since there is always a potential for unauthorized persons to access the data. The third challenge is budget constraints since analyzing big data could require substantial resources and time. The fourth challenge is data siloes that isolate the data thus making it difficult to access. The final challenge is the diversity in data context, type and format that makes it difficult to process big data and harness its potential. The mentioned challenges can be addressed through targeted approaches that acknowledge the existence of these challenges and proactively addresses them (Adibuzzaman et al., 2017; Hong et al., 2018). For instance, ensuring that data is presented in the same context, type and format to facility processing efforts. Overall, big data has value for the health care industry through delivering evidence-based information to improve the performance of clinical systems. NURS 6051C Discussion: Big Data Risks and Rewards Essay.

References

Adibuzzaman, M., DeLaurentis, P., Hill, J. & Benneyworth, B. (2017). Big data in healthcare – the promises, challenges and opportunities from a research perspective: A case study with a model database. AMIA Annual Symposium Proceedings Archive, 2017, 384-392. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977694/pdf/2731403.pdf NURS 6051C Discussion: Big Data Risks and Rewards Essay

Dash, S., Shakyawar, S. K., Sharma, M. & Kaushik, S. (2019). Big data in healthcare: management, analysis and future prospects. Journal of Big Data, 6, Article number 54. DOI: 10.1186/s40537-019-0217-0. Retrieved from https://journalofbigdata.springeropen.com/articles/10.1186/s40537-019-0217-0

Hong, L., Luo, M., Wang, R., Lu, P., Lu, W. & Lu, L. (2018). Big data in health care: applications and challenges. Data and Information Management, 2(3), 175-197. DOI: 10.2478/dim-2018-0014

Tavazzi, L. (2019). Big data: is clinical practice changing? European Heart Journal Supplements, 21(Suppl. B), B98–B102. DOI: 10.1093/eurheartj/suz034 NURS 6051C Discussion: Big Data Risks and Rewards Essay

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Initial responses to the DQ should address all components of the questions asked, including a minimum of one scholarly source, and be at least 250 words. Successful responses are substantive (i.e., add something new to the discussion, engage others in the discussion, well-developed idea) and include at least one scholarly source. One or two-sentence responses, simple statements of agreement or “good post,” and responses that are off-topic will not count as substantive. Substantive responses should be at least 150 words. I encourage you to incorporate the readings from the week (as applicable) into your responses. NURS 6051C Discussion: Big Data Risks and Rewards Essay

  • Weekly Participation

Your initial responses to the mandatory DQ do not count toward participation and are graded separately. In addition to the DQ responses, you must post at least one reply to peers (or me) on three separate days, for a total of three replies. Participation posts do not require a scholarly source/citation (unless you cite someone else’s work). Part of your weekly participation includes viewing the weekly announcement and attesting to watching it in the comments. These announcements are made to ensure you understand everything that is due during the week.

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Familiarize yourself with the APA format and practice using it correctly. It is used for most writing assignments for your degree. Visit the Writing Center in the Student Success Center, under the Resources tab in Loud-cloud for APA paper templates, citation examples, tips, etc. Points will be deducted for poor use of APA format or absence of APA format (if required). Cite all sources of information! When in doubt, cite the source. Paraphrasing also requires a citation. I highly recommend using the APA Publication Manual, 6th edition.

  • Use of Direct Quotes

I discourage over-utilization of direct quotes in DQs and assignments at the Master’s level and deduct points accordingly. As Masters’ level students, it is important that you be able to critically analyze and interpret information from journal articles and other resources. Simply restating someone else’s words does not demonstrate an understanding of the content or critical analysis of the content. It is best to paraphrase content and cite your source.

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The university’s policy on late assignments is a 10% penalty PER DAY LATE. This also applies to late DQ replies. Please communicate with me if you anticipate having to submit an assignment late. I am happy to be flexible, with advance notice. We may be able to work out an extension based on extenuating circumstances. If you do not communicate with me before submitting an assignment late, the GCU late policy will be in effect. I do not accept assignments that are two or more weeks late unless we have worked out an extension. As per policy, no assignments are accepted after the last day of class. Any assignment submitted after midnight on the last day of class will not be accepted for grading.

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