AI in Medicine Clinical Experience II
BMIF 302
Subject & Catalog Number
Course Information
Description
AI in Medicine Clinical Experience II (ACE II) is a graduate-level seminar course that builds on the foundation established in BMIF 301- ACE I. This course deepens students' understanding of healthcare data by expanding their clinical shadowing to a specialty of their choice and exposing them to the broader hospital data ecosystem.
Students will shadow physicians in specialized fields and will engage with non-clinical professionals—including nurses, medical coders, billers, IT specialists, and data managers—to explore how hospital data is generated, stored, processed, and utilized in decision-making and AI applications. By the end of the course, students will gain a holistic understanding of healthcare data pipelines, from bedside patient interactions to backend data processing systems, critical for AI research in medicine.
Course Notes
Enrollment limited to PhD students in the Biomedical Informatics – AI in Medicine track
Recommended Prep
Successful completion of BMIF 301 is recommended before taking this course. Exceptions will be made based on instructor consent.
Available for Harvard Cross Registration
