Learning Objectives
Students will:
- Analyze benefits, challenges, and risks of using big data in clinical systems
- Recommend strategies to mitigate challenges and risks of using big data in clinical systems
| Due By | Assignment |
|---|---|
| Week 5, Days 1–2 | Read/Watch/Listen to the Learning Resources. Compose your initial Discussion post. |
| Week 5, Day 3 | Post your initial Discussion post. |
| Week 5, Days 4-5 | Review peer Discussion posts. Compose your peer Discussion responses. |
| Week 5, Day 6 | Post at least two peer Discussion responses on two different days (and not the same day as the initial post). |
| Week 5, Day 7 | Wrap up Discussion. |
Learning Resources
Required Readings
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 from https://www.americannursetoday.com/wp-content/uploads/2017/11/ant11-Data-1030.pdf
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. 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
Laureate Education (Executive Producer). (2012). Data, information, knowledge and wisdom continuum [Multimedia file]. Baltimore, MD: Author. Retrieved from http://mym.cdn.laureate-media.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html
Laureate Education (Producer). (2018). Health Informatics and Population Health: Analyzing Data for Clinical Success [Video file]. Baltimore, MD: Author.
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