8210: DATA SCIENCE APPLICATIONS AND PROCESSES

Order Instructions8210: DATA SCIENCE APPLICATIONS AND PROCESSESData mining has been cited as one of the advantages scientists used in the creation of the COVID-19 vaccinations. Data mining was used in the trials of these vaccinations to signal safety concerns and trends more quickly in the trial groups. As a result, these vaccinations were quickly available to support the effort in combatting the COVID-19 pandemic.Thinking beyond the scope of a major vaccination effort and pandemic, 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.WEEKLY RESOURCESRequired ReadingsBegin your review of required Learning Resources with these quick media resources to define some of the many terms you will hear in Nursing Informatics and Project Management today. If you are more interested in a particular one, there are many longer videos available.• GovLoop. (2016, June 15). Defining data analyticsLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=RAw55JEcnEs• IDG TECHTalk. (2020, March 27). What is predictive analyticsLinks to an external site.? Transforming data into future insights [Video]. YouTube. https://www.youtube.com/watch?v=cVibCHRSxB0• ProjectManager. (2016, March 11). Gantt charts, simplified – project management trainingLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=cGkHjby1xKM• Simplilearn. (2017, August 3). Data science vs big data vs data analyticsLinks to an external site. [Video]. YouTube. https://www.youtube.com/watch?v=yR2wWQYiVKM• Simplilearn. (2019, December 10). Big data in 5 minutesLinks to an external site. | What is big data?| introduction to big data | big data explained | simplilearn [Video]. YouTube. https://www.youtube.com/watch?v=bAyrObl7TYE• Document: Sample Paper Template (Word document)Download Sample Paper Template (Word document)Required Media• Sipes, C. (2020). Project management for the advanced practice nurse (2nd ed.). Springer Publishing.o Chapter 4, “Planning: Project Management—Phase 2” (pp. 75–120)• American Nurses Association. (2015). Nursing informaticsLinks to an external site.: Scope and standards of practice (2nd ed.).o “Standard 3: Outcomes Identification” (p. 71)o “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.• National Institutes of Health, Office of Data ScienceLinks to an external site. Strategy. (2021). Data science. https://datascience.nih.gov/• 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.2019.03.001Data analysis• 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• 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