Discussion: Big Data Risk 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
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
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
*Note: Throughout this program, your fellow students are referred to as colleagues.
Submission and Grading Information
To access your rubric:
Week 5 Discussion Rubric
Post by Day 3 and Respond by Day 6 of Week 5
To participate in this Discussion:
Week 5 Discussion
To go to the next module:
Module 4: Technologies Supporting Applied Practice and Optimal
Patient Outcomes (Weeks 6-8)
Laureate Education (Producer). (2018). Informatics Tools and Technologies [Video file]. Baltimore, MD:
Evaluate healthcare technology
McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.).
Burlington, MA: Jones & Bartlett Learning.
Chapter 22, “Data Mining as a Research Tool” (pp. 477-493)
Chapter 24, “Bioinformatics, Biomedical Informatics, and Computational Biology” (pp. 537-551)
Glassman, K. S. (2017). Using data in nursing practice. American Nurse Today, 12(11), 45–47. Retrieved
Thew, J. (2016, April 19). Big data means big potential, challenges for nurse execs. Retrieved
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.
Laureate Education (Executive Producer). (2012). Data, information, knowledge and wisdom
continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://mym.cdn.laureate-
Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for
Clinical Success [Video file]. Baltimore, MD: Author.
Vinay Shanthagiri. (2014). Big Data in Health Informatics [Video file]. Retrieved
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