DATA SCIENCE APPLICATIONS AND PROCESSES

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. 

WEEKLY RESOURCES

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?