Home

academics

HST 953
Collaborative Data Science in Medicine

Term: Fall

Time:
Lecture: F 9am-12pm; Recitation: F 1-5pm
Location:
MIT: E25-117
Course Website:
None
Prerequisite:
None
Restrictions:
None
MIT Units:
3-0-9 (G-Level Credit)
Harvard Units:
N/A
A guide for data scientists, engineers, and clinicians who are interested in performing retrospective research using data from electronic health records. Instruction provided in clinical decision-making and secondary use of clinical data, using the Medical Information Mart for Intensive Care (MIMIC) database and the eICU Collaborative Research Database. Covers steps in parsing a clinical question into a study design and methodology for data analysis and interpretation. Activities include review of case studies using the MIMIC and the eICU Collaborative Research Database and a team project. Student teams choose a question and clinician to work with for their project. Teams meet weekly with clinicians at the hospitals at arranged time.