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WK 5 ASSIGN

k to Week at a Glance

Designing a Nursing Informatics Project for Your Organization (Continued)

You will use project management tools and strategies to propose how you would support and potentially implement a proposed nursing informatics project. While you may not have the opportunity to implement this proposed project, this project will allow you to apply the skills needed and the considerations that are required in deducing how a project of this scope might take place in your nursing practice. To complete this project, you will define an informatics project that would be beneficial to your healthcare organization or nursing practice. You can discuss this with upper leadership, in your practice or organization, explaining that you will need to design a proposed informatics project.

This week, you will complete the draft that you have been working on throughout the last four weeks.

For Week 5, complete the following:

· Review all previous feedback and revise for final draft submission.

· If earlier drafts identified Turnitin issues please address them this week.

· Reach out to your faculty member if you have questions.

By Day 7 of Week 6

At the end of this week, you should have a final draft with all tables and figures completed. Please ensure you keep current/updated all documents as you develop this project.

Required Readings

· Sipes, C. (2025). 
Project management for the advanced practice nurse (3rd ed.). Springer Publishing.

· Chapter 4, “Planning: Project Management—Phase 2” (pp. 85–130) 

· American Nurses Association. (2015). 

Nursing informaticsLinks to an external site.

: Scope and standards of practice  (2nd ed.).

· “Standard 3: Outcomes Identification” (p. 71)

· “Standard 4: Planning” (p. 72)1

· Brennan, P. F., & Bakken, S. (2015). 
Nursing needs big data and big data needs nursingLinks to an external site.
Journal of Nursing Scholarship, 47 (5), 477–484. doi:10.1111/jnu.12159 National Institutes of Health, Office of Data Science Strategy. (2021). 
Data science .

· Carter-Templeton, H., Nicoll, L. H., Wrigley, J., & Wyatt, T. H. (2021). 
Big data in nursing: A bibliometric analysisLinks to an external site.
Online Journal of Issues in Nursing
26(3).

· Elsaleh, T., Enshaeifar, S., Rezvani, R., Acton, S. T., Janeiko, V., & Bermudez-Edo, M. (2020). 
IoT-stream: A lightweight ontology for internet of things data streams and its use with data analytics and event detection servicesLinks to an external site.
Sensors, 20 (4), 953. doi:10.3390/s20040953

· Zhu, R., Han, S., Su, Y., Zhang, C., Yu, Q., & Duan, Z. (2019). 
The application of big data and the development of nursing science: A discussion paperLinks to an external site.
International Journal of Nursing Sciences, 6 (2), 229–234. doi:10.1016/j.ijnss.2019.03.001

Required Media

· IDG TECHTalk. (2020, March 27). 

What is predictive analyticsLinks to an external site.

? Transforming data into future insights [Video]. YouTube.

· Simplilearn. (2019, December 10). 

Big data in 5 minutes Links to an external site.
 | What is big data?| introduction to big data | big data explained | simplilearn [Video]. YouTube.

Optional Resources

· Parikh, R. B., Gdowski, A., Patt, D. A., Hertler, A., Mermel, C., & Bekelman, J. E. (2019). Using big data and predictive analytics to determine patient risk in oncology. 

American Society of Clinical Oncology Educational BookLinks to an external site.

, 39 , e53–e58. doi:10.1200/EDBK_238891

· Spachos, D., Siafis, S., Bamidis, P., Kouvelas, D., & Papazisis, G. (2020). 
Combining big data search analytics and the FDA adverse event reporting system database to detect a potential safety signal of mirtazapine abuseLinks to an external site.
Health Informatics Journal, 26 (3), 2265–2279. doi:10.1177/1460458219901232

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