Data Science Applications and Processes
How might data compiled and analyzed in your healthcare organization or nursing practice help support efforts aimed at patient quality and safety? Why might it be important to consider the how’s and why’s of data collection, application, and implementation? How might these practices shape your nursing practice or even the future of nursing?
For this Discussion, you will explore various topics related to data and consider the process and application of each. Reflect on the use of these applications, but also consider the implications of how these applications might shape the future of nursing and healthcare practice.
Resources
Be sure to review the Learning Resources before completing this activity.
Click the weekly resources link to access the resources.
earning Resources
· 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
· 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.
· 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
To Prepare
· Review the Learning Resources for this week related to the topics: Big Data, Data Science, Data Mining, Data Analytics, and Machine Learning.
· Consider the process and application of each topic.
· Reflect on how each topic relates to nursing practice.
By Day 3 of Week 5
Post a summary on how predictive analytics might be used to support healthcare.
Note: These topics may overlap as you will find in the readings (e.g., some processes require both Data Mining and Analytics).
In your post include the following:
· Describe a practical application for predictive analytics in your nursing practice. What challenges and opportunities do you envision for the future of predictive analytics in healthcare?
By Day 6 of Week 5
Read a selection of your colleagues’ responses and
respond to
at least two of your colleagues on
two different days. Expand upon your colleague’s posting or offer an alternative perspective.
Reply
