8 Consecutive Mondays starting September 11 @ 6pm-8pm| 3 CEUs | $500
Location: Room 412 – 155 College Street, Toronto, ON M5T 1P8
Doctors have always written clinical notes about their patients — originally, the notes were on paper and were locked away in a cabinet. Fortunately for data scientists, doctors now enter their notes in an electronic medical record. These notes represent a vast wealth of knowledge and insight that can be utilized for predictive models using Natural Language Processing (NLP) to improve patient care and hospital workflow.
Why Register?
Throughout this course, you will consider why we might need NLP to optimize the storage and interpretation of clinical notes, explore the possible applications and the issues they might cause such as interpreting context from different notes that might mean the same thing, and learn about particular areas you could contribute as a medical professional to the development of clinical Natural Language Processing algorithms to predict clinical patterns and improve patient care.
You should leave the course more confident in your knowledge of clinical NLP and how it might improve today’s healthcare practices.
Admission is limited to the first 20 participants. Enrollment is on a first-come, first-served basis.
You will need your College’s registration number to claim CEU’s at the end of this course.