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BMI 6308 Digital Technologies and Analytics for Personalized Health

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based and classroom instruction
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

  • Identify and describe opportunities for digital health in health and wellness management in instructor-led domain scenarios
  • Create prototypes of digital solutions for care providers, patients, and/or populations through use of social media and/or mobile technologies in instructor-led domain scenarios
  • Apply text analytics and machine learning models to identify and describe user needs leveraging digital social media interactions
  • Identify and describe the best practices and tools for optimizing and measuring user experiences in digital health solutions
  • Discuss the emerging trends in digital domain and their impact on healthcare transformation