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AI in Medicine Clinical Experience I
BMIF 301

Course Information

Description

This course will expose students to the processes and logistics of data collection within the healthcare enterprise. Introduction lectures will explore how data is collected in the operating room, emergency department, intensive care, unit, inpatient hospital units, and ambulatory clinics. Students will have the opportunity to shadow clinicians working in the outpatient and inpatient setting.

Course Notes

This course is only open to Biomedical Informatics PhD students in the AI in Medicine track.

School Faculty of Arts & Sciences
Credits 4
Cross Reg

Available for Harvard Cross Registration

Course Component Seminar
Grading Basis FAS Satisfactory/Unsatisfactory
General Education N/A
Quantitative Reasoning with Data N/A
Divisional Distribution None
Course Level Graduate Course