Big Data Analytics for Healthcare, NRSG 741

Course Description:
This course will describe the concepts underlying the field of study identified as big data analytics along with its application in healthcare. The theoretical underpinnings of these concepts will be presented along with
applications in healthcare, including knowledge discovery, precision medicine/nursing, and the development of targeted interventions to improve health outcomes. Commonly used methods in big data analytics will be reviewed, and the challenges related to gathering, analyzing, visualizing, and interpreting big data will be discussed. Hands-on computer laboratory experience (R programming language) with these techniques relevant to an identified area will be included.

Course Objectives:
 Demonstrate knowledge of principles and tools of big data analysis in health research.
 Identify the potential and challenges incorporating big data analytics to improve precision medicine / nursing interventions.
 Understand the principles of reproducible research and implement an appropriate workflow for data analysis and manuscript / report generation.
 Effectively critique published research using big data theoretical frameworks
 Analyze ethical issues related to the use of big data analytics in health related research
 Demonstrate knowledge of big data gathering, storage, management, and analyses