Course description

While large volumes of digital healthcare data have been captured for decades, we are only starting to mine them for information that can significantly advance healthcare delivery and quality. Built from many practical experiences, this course teaches students how to apply big data analytics and machine learning to the most challenging problems found in modern hospitals. We cover several important areas—operational, clinical, and imaging—using hands-on examples and real problems. Students not only learn how to build efficient data models, but also how to implement them in different healthcare environments, avoiding the most common pitfalls and achieving meaningful results. For complete and current details about this Harvard Extension course, see the description in the DCE Course Search.

Instructor

  • Assistant Professor of Radiology, Massachusetts General Hospital, Harvard Medical School.
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