SNOMED CT MOOC

Students

College of St. Scholastica, Graduate Program Instructor

The College of St. Scholastica is offering a Massive Open Online Course (MOOC) at no cost. The course: Exploration of SNOMED CT Basics begins April 20. Registration is now closed. The course needs to be fully completed by June 15.

Course description:

This eight-week course explores the basic structure and uses of SNOMED CT. Instructional materials are featured from the International Health Terminology Standards Development Organisation (IHTSDO) and supplemented with learning activities, discussion forum for information exchange and instructor support.This course provides information about the use of SNOMED CT in healthcare technology applications leveraging the recently published Starter Guide from IHTSDO.

Value-added instruction including lectures, self-testing assessments, exercises and resources are provided within the course structure.

Topics addressed include:

  1. Highlights and background about the International Terminology Standards Development Organisation (IHTSDO); access to SNOMED CT with a brief of history and current uses of SNOMED CT
  2. Logical model overview and application 
  3. Concept model overview and application
  4. SNOMED CT expressions and examples of use
  5. SNOMED CT content development and release cycles
  6. Terminology customization for use by implementers including mapping to and from other terminologies or classifications
  7. Translation and language preferences
  8. Summary of current events related to IHTSDO and SNOMED CT updates and final test
  9. This program has been approved for 12 continuing education units for use in fulfilling the continuing education requirements of the American Health Information Management Association (AHIMA).

About the course author:

Photo of Mike GroveMike Grove, Ph.D. 

Dr. Grove is an adjunct clinical professor in the Health Informatics graduate program. He currently is teaching a course on the principles and uses of the SNOMED clinical terminology. Dr. Grove holds a PhD in Health Informatics from the University of Minnesota where he developed an ontology model for application in the Traumatic Brain Injury rehabilitative domain. He also completed a year as a National Library of Medicine (NLM) post-doctoral fellow in medical informatics at Oregon Health & Science University (OHSU) where he developed an ontology for the craniomaxillofacial surgical clinical domain. He is currently a consultant for Accenture where he works on clinical terminology and Semantic Web projects.

Assessments:

Each unit features one or more self-assessment tools for self-assessment, using practice exercises for knowledge acquisition.

Technical support and academic honesty:

Limited technical support is available through videos and other resource links provided. Participants are asked to comply with our policies relating to academic honestly, intellectual property and other principles of our institution. Please see Terms of Use for details.