Module 3: Data-Information-Knowledge-Wisdom

Module 3: Data-Information-Knowledge-Wisdom

ORDER NOW FOR AN ORIGINAL PAPER ASSIGNMENT: Module 3: Data-Information-Knowledge-Wisdom

Module 3: Data-Information-Knowledge-Wisdom

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.

 

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

 

ESSAY GUIDELINES -:

Write a 1000-1500-word essay addressing each of the following points. Be sure to completely answer all the questions for each bullet point. There should be two main sections, one for each bullet below. Separate each section in your paper with a clear heading that allows your professor to know which bullet you are addressing in that section of your paper.

Support your ideas with at least three (3) sources using citations in your essay. Make sure to cite using the APA writing style for the essay. The cover page and reference page in correct APA do not count towards the minimum word amount. Review the rubric criteria for this assignment.

Length: 1000-1500 words; answers must thoroughly address the prompts in a clear, concise manner.

Evaluation Criteria for Paper

(10%) Resources used as rationale for approaches and as sources of content

_____ 5. (20%) write paper in a scholarly manner
(4%) Format includes title page, body of paper, & reference page, with pages numbered

_____ 5. (20%) Write the Paper in a scholarly manner
(4%) Format includes title page, body of paper, & reference page, with pages numbered

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