AI in Medicine Clinical Experience II
4 credits, Fall Semester
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.
This course is only open to PhD students in the AI in Medicine track.
Assistant Professor of Surgery, Beth Israel Deaconess Medical Center
Assistant Professor of Biomedical Informatics, Harvard Medical School (Secondary)