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Discussion: Data Information-Knowledge-Wisdom Walden
Discussion: Data Information-Knowledge-Wisdom WaldenORDER HERE FOR ORIGINAL,
PLAGIARISM-FREE PAPERS ON Discussion: Data Information-Knowledge-Wisdom
WaldenData-Information-Knowledge-Wisdom (DIKW)Laureate Education (Producer).
(2018). Data-Information-Knowledge-Wisdom [Video file]. Baltimore, MD: Author.Learning
ObjectivesStudents will:Analyze benefits, challenges, and risks of using big data in clinical
systems. Discussion: Data Information-Knowledge-Wisdom WaldenRecommend strategies
to mitigate challenges and risks of using big data in clinical systemsAnalyze the importance
of standardized terminologies for nursing informatics and healthcare deliveryAnalyze the
benefits and challenges of implementing standardized nursingNote: 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 ReadingsMcGonigle, 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.pdfRutherford, 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-execsTopaz, 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.htmlLaureate
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. Assignment 1: Big Data Risks and
RewardsWhen 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. Discussion: Data Information-Knowledge-Wisdom WaldenTo 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.Write 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.Assignment 2: The
Impact of Standardized Nursing TerminologyAmong the Resources in this module is the
Rutherford (2008) article Standardized Nursing Language: What Does It Mean for Nursing
Practice? In this article, the author recounts a visit to a local hospital to view the recent
implementation of a new coding system.During the visit, one of the nurses commented to
her, “We document our care using standardized nursing languages but we don’t fully
understand why we do” (Rutherford, 2008, para. 1).How would you respond to a comment
such as this one?To Prepare:Review the concepts of informatics as presented in the
Resources, particularly Rutherford, M. (2008) Standardized Nursing Language: What Does
It Mean for Nursing Practice?Reflect on the role of a nurse leader as a knowledge
worker.Consider how knowledge may be informed by data that is collected/accessed.In a 4-
to 5-page paper, address the following:Explain how you would inform this nurse (and
others) of the importance of standardized nursing terminologies.Describe the benefits and
challenges of implementing standardized nursing terminologies in nursing practice. Be
specific and provide examples.Be sure to support your paper with peer-reviewed research
on standardized nursing terminologies that you consulted from the Walden Library.
Discussion: Data Information-Knowledge-Wisdom Walden

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Data Walden.docx

  • 1. Discussion: Data Information-Knowledge-Wisdom Walden Discussion: Data Information-Knowledge-Wisdom WaldenORDER HERE FOR ORIGINAL, PLAGIARISM-FREE PAPERS ON Discussion: Data Information-Knowledge-Wisdom WaldenData-Information-Knowledge-Wisdom (DIKW)Laureate Education (Producer). (2018). Data-Information-Knowledge-Wisdom [Video file]. Baltimore, MD: Author.Learning ObjectivesStudents will:Analyze benefits, challenges, and risks of using big data in clinical systems. Discussion: Data Information-Knowledge-Wisdom WaldenRecommend strategies to mitigate challenges and risks of using big data in clinical systemsAnalyze the importance of standardized terminologies for nursing informatics and healthcare deliveryAnalyze the benefits and challenges of implementing standardized nursingNote: 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 ReadingsMcGonigle, 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.pdfRutherford, 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-execsTopaz, M. (2013). The hitchhiker’s guide to nursing theory: Using the Data- Knowledge-Information-Wisdom framework to guide informatics research. Online Journal
  • 2. 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.htmlLaureate 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. Assignment 1: Big Data Risks and RewardsWhen 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. Discussion: Data Information-Knowledge-Wisdom WaldenTo 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.Write 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.Assignment 2: The Impact of Standardized Nursing TerminologyAmong the Resources in this module is the Rutherford (2008) article Standardized Nursing Language: What Does It Mean for Nursing Practice? In this article, the author recounts a visit to a local hospital to view the recent implementation of a new coding system.During the visit, one of the nurses commented to her, “We document our care using standardized nursing languages but we don’t fully understand why we do” (Rutherford, 2008, para. 1).How would you respond to a comment such as this one?To Prepare:Review the concepts of informatics as presented in the Resources, particularly Rutherford, M. (2008) Standardized Nursing Language: What Does
  • 3. It Mean for Nursing Practice?Reflect on the role of a nurse leader as a knowledge worker.Consider how knowledge may be informed by data that is collected/accessed.In a 4- to 5-page paper, address the following:Explain how you would inform this nurse (and others) of the importance of standardized nursing terminologies.Describe the benefits and challenges of implementing standardized nursing terminologies in nursing practice. Be specific and provide examples.Be sure to support your paper with peer-reviewed research on standardized nursing terminologies that you consulted from the Walden Library. Discussion: Data Information-Knowledge-Wisdom Walden