NURS 6051/NURS 5051 Module 3: Data-Information-Knowledge-Wisdom (DIKW) (Weeks 4-5)

Laureate Education (Producer). (2018). Data-Information-Knowledge-Wisdom [Video file]. Baltimore, MD: Author.

 

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

Analyze the importance of standardized terminologies for nursing informatics and healthcare delivery

Analyze the benefits and challenges of implementing standardized nursing terminologies for nursing practice

Due By Assignment

Week 4, Days 1–2 Read/Watch/Listen to the Learning Resources.

Compose your initial Discussion post.

Week 4, Day 3 Post your initial Discussion post.

Begin to compose your Assignment.

Week 4, Days 4-5 Review peer Discussion posts.

Compose your peer Discussion responses.

Continue to compose your Assignment.

Week 4, Day 6 Post at least two peer Discussion responses on two different days (and not the same day as the initial post).

Week 4, Day 7 Wrap up Discussion.

Week 5, Days 1-6 Continue to compose your Assignment.

Week 5, Day 7 Deadline to submit your Assignment.

Photo Credit: Tetra Images / Getty Images / Getty Images

 

Learning Resources

Note: To access this week’s required library resources, please click on the link to the Course Readings List, found in the Course Materials section of your Syllabus.

 

Required Readings

McGonigle, D., & Mastrian, K. G. (2017). Nursing informatics and the foundation of knowledge (4th ed.). Burlington, MA: Jones & Bartlett Learning.

 

Chapter 25, “The Art of Caring in Technology-Laden Environments” (pp. 525–535)

Chapter 26, “Nursing Informatics and the Foundation of Knowledge” (pp. 537–551)

American Nurses Association. (2018). Inclusion of recognized terminologies supporting nursing practice within electronic health records and other health information technology solutions. Retrieved from https://www.nursingworld.org/practice-policy/nursing-excellence/official-position-statements/id/Inclusion-of-Recognized-Terminologies-Supporting-Nursing-Practice-within-Electronic-Health-Records/

 

Macieria, T. G. R., Smith, M. B., Davis, N., Yao, Y., Wilkie, D. J., Lopez, K. D., & Keenan, G. (2017). Evidence of progress in making nursing practice visible using standardized nursing data: A systematic review. AMIA Annual Symposium Proceedings, 2017, 1205–1214. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5977718/

 

Office of the National Coordinator for Health Information Technology. (2017). Standard nursing terminologies: A landscape analysis. Retrieved from https://www.healthit.gov/sites/default/files/snt_final_05302017.pdf

 

Rutherford, M. A. (2008). Standardized nursing language: What does it mean for nursing practice? Online Journal of Issues in Nursing, 13(1), 1–12. doi:10.3912/OJIN.Vol13No01PPT05.

 

Note: You will access this article from the Walden Library databases.

 

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

 

Topaz, M. (2013). The hitchhiker’s guide to nursing theory: Using the Data-Knowledge-Information-Wisdom framework to guide informatics research. Online Journal of Nursing Informatics, 17(3).

 

Note: You will access this article from the Walden Library databases.

 

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. doi:10.1016/j.techfore.2015.12.019.

 

Note: You will access this article from the Walden Library databases.

 

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.

 

 

 

 

Accessible player 

–Downloads–

Vinay Shanthagiri. (2014). Big Data in Health Informatics [Video file]. Retrieved from https://www.youtube.com/watch?v=4W6zGmH_pOw.