About this Course

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Start instantly and learn at your own schedule.

Flexible deadlines

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Intermediate Level

Approx. 21 hours to complete

Suggested: 5 weeks of study, 2-4 hours/week...

English

Subtitles: English

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 21 hours to complete

Suggested: 5 weeks of study, 2-4 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

Introduction: Clinical Natural Language Processing

7 videos (Total 20 min), 3 readings, 1 quiz
7 videos
Introduction to Clinical Natural Language Processing3m
NLP Fundamentals: Linguistics1m
NLP Fundamentals: Morphology & Lexicography4m
NLP Fundamentals: Syntax4m
NLP Fundamentals: Sematics & Pragmatics4m
NLP Fundamentals: Wrap Up40s
3 readings
Introduction to Specialization Instructors5m
Course Policies5m
Accessing Course Data and Technology Platform15m
1 practice exercise
Week 1 Assessment20m
Week
2
3 hours to complete

Tools: Regular Expressions

3 videos (Total 17 min), 2 readings, 2 quizzes
3 videos
Text Processing in the Tidyverse3m
Tips and Tricks for Text Processing5m
2 readings
Regular Expressions and Text Processing in R1h 30m
Note about the Assessment2m
2 practice exercises
Regular Expressions and Text Processing in R - Try it Out For Yourself Exercises40m
Week 2 Assessment40m
Week
3
2 hours to complete

Techniques: Note Sections

4 videos (Total 14 min), 1 reading, 1 quiz
4 videos
Clinical Note Types: History and Physical Notes2m
Clinical Note Types: Discharge Summaries2m
Clinical Note Types: Radiology Reports2m
1 reading
Note Section Techniques1h 30m
1 practice exercise
Note Section Techniques - Try It Out For Yourself Excercises45m
Week
4
5 minutes to complete

Techniques: Keyword Windows

1 video (Total 5 min)

Instructor

Avatar

Laura K. Wiley, PhD

Assistant Professor
Division of Biomedical Informatics and Personalized Medicine, Anschutz Medical Campus

About University of Colorado System

The University of Colorado is a recognized leader in higher education on the national and global stage. We collaborate to meet the diverse needs of our students and communities. We promote innovation, encourage discovery and support the extension of knowledge in ways unique to the state of Colorado and beyond....

About the Clinical Data Science Specialization

Are you interested in how to use data generated by doctors, nurses, and the healthcare system to improve the care of future patients? If so, you may be a future clinical data scientist! This specialization provides learners with hands on experience in use of electronic health records and informatics tools to perform clinical data science. This series of six courses is designed to augment learner’s existing skills in statistics and programming to provide examples of specific challenges, tools, and appropriate interpretations of clinical data. By completing this specialization you will know how to: 1) understand electronic health record data types and structures, 2) deploy basic informatics methodologies on clinical data, 3) provide appropriate clinical and scientific interpretation of applied analyses, and 4) anticipate barriers in implementing informatics tools into complex clinical settings. You will demonstrate your mastery of these skills by completing practical application projects using real clinical data. This specialization is supported by our industry partnership with Google Cloud. Thanks to this support, all learners will have access to a fully hosted online data science computational environment for free! Please note that you must have access to a Google account (i.e., gmail account) to access the clinical data and computational environment....
Clinical Data Science

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.