Health informatics is rapidly shifting toward integrating AI-driven tools, predictive analytics, and digital transformation initiatives (generative AI, digital therapeutics, personalized medicine, telemedicine, and virtual reality). Employers increasingly seek professionals adept in leveraging AI/ML applications to optimize healthcare delivery, enhance patient outcomes, to construct and present compelling business cases for AI-driven tools, and promote value-based care. The Healthcare AI and Digital Innovation specialization focuses on computational skills, big data management, algorithmic innovation, predictive modeling, and digital solution design.

Curriculum

Core Courses (9 units)

Specialization Courses (3 units)

About the Final Project 

As a culminating experience, students will put into practice the knowledge and skills they have learned during their coursework through a Capstone Project. Students will have the opportunity to develop and implement a Health Informatics project with an industry or university partner or in their workplace. Alternatively, students can develop a culminating, two-part project. This alternative capstone project will leverage health informatics to provide an innovative, consultative response to a need or problem arising as part of a real-world case study. The project will challenge each student to conduct and integrate comprehensive research and to apply knowledge, skills, and competencies built through coursework they have completed in the MHI program.

In addition to each student’s individual research and project development, the course emphasizes collaboration with fellow students by using the Canvas discussion board to crowdsource strategies and approaches for their Capstone Project. Each student will work with the instructor to establish an “Advisory Committee” for their project which, ideally, will be comprised of a “Knowledge Expert” from the organization they are working with and a faculty advisor from the Northwestern University Health Informatics program.