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Discussion : Interaction Between Nurse Informaticists and Other Specialists
Discussion: Interaction Between Nurse Informaticists and Other Specialists
Nature offers many examples of specialization and collaboration. Ant colonies and bee hives are but two
examples of nature’s sophisticated organizations. Each thrives because their members specialize by
tasks, divide labor, and collaborate to ensure food, safety, and general well-being of the colony or hive.
Of course, humans don’t fare too badly in this regard either. And healthcare is a great example. As
specialists in the collection, access, and application of data, nurse informaticists collaborate with
specialists on a regular basis to ensure that appropriate data is available to make decisions and take
actions to ensure the general well-being of patients.
In this Discussion, you will reflect on your own observations of and/or experiences with informaticist
collaboration. You will also propose strategies for how these collaborative experiences might be
improved.
To Prepare:
•
Review the Resources and reflect on the evolution of nursing informatics from a science to a
nursing specialty.
•
Consider your experiences with nurse Informaticists or technology specialists within your
healthcare organization.
By Day 3 of Week 3
Post a description of experiences or observations about how nurse informaticists and/or data or
technology specialists interact with other professionals within your healthcare organization. Suggest at
least one strategy on how these interactions might be improved. Be specific and provide examples.
Then, explain the impact you believe the continued evolution of nursing informatics as a specialty
and/or the continued emergence of new technologies might have on professional interactions.
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-positionstatements/id/Inclusion-of-Recognized-Terminologies-Supporting-Nursing-Practice-within-ElectronicHealth-Records/
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
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
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.laureatemedia.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html
Public Health Informatics Institute. (2017). Public Health Informatics: “shipping” information for better
health [Video file]. Retrieved from https://www.youtube.com/watch?v=q1gNQ9dm0zg.
Public Health Informatics Institute. (2017). Public Health Informatics: knowledge “architecture” [Video
file]. Retrieved from https://www.youtube.com/watch?v=sofmUeQkMLU.
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Nature offers many examples of specialization and collaboration. Ant colonies and bee hives are but two
examples of nature’s sophisticated organizations. Each thrives because their members specialize by
tasks, divide labor, and collaborate to ensure food, safety, and general well-being of the colony or hive.
Of course, humans don’t fare too badly in this regard either. And healthcare is a great example. As
specialists in the collection, access, and application of data, nurse informaticists collaborate with
specialists on a regular basis to ensure that appropriate data is available to make decisions and take
actions to ensure the general well-being of patients.
In this Discussion, you will reflect on your own observations of and/or experiences with informaticist
collaboration. You will also propose strategies for how these collaborative experiences might be
improved.
To Prepare:
•
Review the Resources and reflect on the evolution of nursing informatics from a science to a
nursing specialty.
•
Consider your experiences with nurse Informaticists or technology specialists within your
healthcare organization.
By Day 3 of Week 3
Post a description of experiences or observations about how nurse informaticists and/or data or
technology specialists interact with other professionals within your healthcare organization. Suggest at
least one strategy on how these interactions might be improved. Be specific and provide examples.
Then, explain the impact you believe the continued evolution of nursing informatics as a specialty
and/or the continued emergence of new technologies might have on professional interactions.
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-positionstatements/id/Inclusion-of-Recognized-Terminologies-Supporting-Nursing-Practice-within-ElectronicHealth-Records/
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
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
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.laureatemedia.com/2dett4d/Walden/NURS/6051/03/mm/continuum/index.html
Public Health Informatics Institute. (2017). Public Health Informatics: “shipping” information for better
health [Video file]. Retrieved from https://www.youtube.com/watch?v=q1gNQ9dm0zg.
Public Health Informatics Institute. (2017). Public Health Informatics: knowledge “architecture” [Video
file]. Retrieved from https://www.youtube.com/watch?v=sofmUeQkMLU.
Purchase answer to see full
attachment
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