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NURS 6051 Discussion: Big Data Risks and Rewards

NURS 6051 Discussion: Big Data Risks and Rewards

NURS 6051 Discussion: Big Data Risks and Rewards

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.

By Day 3 of Week 5

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.

By Day 6 of Week 5

Respond to at least two of your colleagues* on two different days, by offering one or more additional mitigation strategies or further insight into your colleagues’ assessment of big data opportunities and risks.

*Note: Throughout this program, your fellow students are referred to as colleagues.

Submission and Grading Information

Grading Criteria

To access your rubric:

Week 5 Discussion Rubric

Module 3 Discussion

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Learning Resources

Required Readings

McGonigle, D., & Mastrian, K. G. (2022). Nursing informatics and the foundation of knowledge (5th ed.). Jones & Bartlett Learning.

  • Chapter 22, “Data Mining as a Research Tool” (pp. 537-558)
  • Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology” (pp. 581-588)

Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved from https://www.americannursetoday.com/wp-content/uplo…

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-dat…

Wang, Y., Kung, L., & Byrd, T. A. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3–13.

Required Media

Walden University, LLC. (Executive Producer). (2012). Data, information, knowledge and wisdom continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://cdn-media.waldenu.edu/2dett4d/Walden/NURS/6…

Walden University, LLC. (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author.

NURS 6051 Discussion: Big Data Risks and Rewards SAMPLE Essay

As nurses, we are constantly being bombarded with data at work. Data is interwoven into our 12-hour shifts in some way, whether it is through the use of computerized flow sheets, clever phrasing, or the examination of electronic medical records (Glassman, 2017). A huge complicated data set that is combined and analyzed to produce more information than smaller data sets is referred to as “big data” (Thew, 2016). Big data is often used in the therapeutic environment.

A potential benefit of using big data includes organizational benefits. Benefits of organizational structure allow for more focus, cohesion, learning, and execution of different strategies in the workplace (Wang et al., 2018). This type of benefit allows for organized facilitated learning, empowerment, and building common visions and goals (Wang et al., 2018). An example of this includes the online learning modules used to facilitate competencies and knowledge on different skills that are unit based and hospital based.

One potential challenge of big data as noted in the research articles, is that individuals are unable to measure nursing competency using data (Thew, 2016). Units can have designated days that staff members can get checked off on their knowledge regarding different competencies but those 2 days out of 365 does not mean it will always be applied. There is no dataset that can measure how committed nurses are to their work and patient’s (Thew, 2016). This is all based off of hearsay. This serves as a risk because when CNE’s attempt to propose ideas for clinical advancement they must simply advocate on a personal basis rather than having data to back up ideas (Thew, 2016). This means not everything implemented will guarantee success and will be based on subjective data, which can always be skewed.

A strategy that I have found that could aide the potential risk of big data found above include giving nurses adequate support, autonomy, fair evaluations, and time to grow professionally can aide in commitment and competency towards their practice (Karami, 2017). Conducting a quantitative and qualitative study using surveys can also provide concrete data on the matter, giving CNE’s a foundation base (Karami, 2017). Though there is no correlation between professional competency and commitment, adequate data found on the matter pertaining to nurses will allow for high quality and safety in patient outcomes (Karami, 2017).

Resources

Glassman, K.S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45-47. Retrieved from https://www.americannursetoday.com/wp-content/up-loads/2017/11/ant11-Data-1030.pdf

Karami, A., Farokhzadian, J., & Foroughameri, G. (2017). Nurses’ professional competency and organizational commitment: Is it important for human resource management? PLoS One, 12(11). e0187863. doi:10.1371/journal.pone.0187863

Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved from https://www.healthleadersmedia.com/nursing/big-data-means-big-potential-challenges-nurse-execs

Wang, Y., Kung, L., & Byrd, T. (2018). Big data analytics: Understanding its capabilities and potential benefits for healthcare organizations. Technological Forecasting and Social Change, 126(1), 3-13.

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