3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Prerequisites: BMI 5300 or Concurrent Enrollment
Lab Fee: $30
Digital technologies have been gaining popularity in personal health and wellness. A plethora of mobile and connected platforms, patient centered solutions are poised to transform the role of public, care providers, and health systems. The key driving forces of this digital era are personalized health data and advanced analytics. In this course, students will explore these key facets of digital health and learn to (a) apply text analytics and machine learning models to describe user needs in digital settings, (b) synthesize best practices and tools for optimizing and measuring user experiences in digital solutions, and (c) discuss the emerging trends in the field that have the potential to transform health care.
Upon successful completion of the course, students will