Prerequisites: Fundamentals of statistical analysis; programming in Python or Matlab (recommended).
Offered: September. 8/29/2022 - 9/21/2022; Mon, Wed; 5:00pm - 6:30pm
Location: MGH - Mass. General Hospital (3)
Description: Course: This course is designed as a critical, hands-on exploration of major healthcare data sources and current state-of-the-art algorithms. The students will learn how to use data for solving the most challenging healthcare problems, to achieve real implementation gains, and to avoid common pitfalls. We will study a wide range of real problems (in clinical workflows, patient records, medical images), to see how their data patterns can be found and used in the most meaningful way.
Course datasets: The course will be based on real data, including healthcare operations records, patient demographics, clinical records (vital signs, lab results), and medical imaging. Note that all data will come from public and anonymized sources, so no special medical records access/clearance will be required.
Course time: The class will be taught twice a week (1.5 hours per each class session), for four weeks, in February and/or September, and will include both lectures and practical assignments. The students are required to attend the lectures, participate in lecture discussions, and work on weekly homework assignments. The work outside the class is expected to take around 3 hours/week, but this may vary depending on the individual student background/skillset. Guest/faculty speakers (including faculty and data scientists) may be invited.
The course can be taken in conjunction with the Scholars in Medicine project or other similar experience.