HOPR 920 - Health Data Analytics

Cr Hrs: 3 (48-0-0)
Healthcare organizations generate large amounts of data concerning patients, procedures, cost, staff, and supplies. Generating insights from these data using visualizations, data mining and natural language processing has the potential to improve patient care. Students will study current research problems, and gain experience through several projects. Students will learn how to assess results based on healthcare objectives for a variety of domains such as public health, policy, and clinical care. Students will work with a diverse set of datasets, and learn to define a process for analysis, justify choices, and interpret results based on healthcare needs. This course is offered exclusively in a distance education format via course management software. The course material will be presented in outline format and supplemented by student reading, student on-line discussions as well as required projects. The instructor will provide guidance to the student but the student is expected to assume responsibility for engaging the material and working at the graduate level.

Grade Mode: Standard
Mode of Delivery (Online or Hybrid): Online
Instructional Method: Lecture, Research

Term offered: Spring

Spring - Instructor of Record: Charisse Renee Madlock-Brown