AMIA 10X10

Overall Objectives and Rationale:

Introduce informatics students, clinicians, and public health practitioners to fundamental principles about standards and terminology and their importance for the exchange and meaningful use of health information. Use of standards are critical for interoperability and are required for the meaningful use of data, both for their primary use (e.g. in the clinical setting) as well as their secondary use for quality monitoring, public health reporting, decision support, and research and analysis.  It is important for persons involved in the design, development and use of systems to understand the role, use and benefits of standards for terminology, messaging, and information modeling. This course provides foundational knowledge and introduces students to the skills, resources, and concepts that will allow them to work in this evolving field.

The course is intensive and two months in length. 

Course Objectives

At the completion of the course, students will be able to:

  • Describe the purpose, benefit, and limitations of using data and messaging standards
  • Describe the role of standards for secondary use of data for quality improvement, public health reporting, decision support, and research and analysis. 
  • Describe the vocabulary and messaging standards commonly used in clinical and public health settings (e.g. HL7, LOINC, SNOMED-CT)
  • Explain the desiderata for terminology and implications of misuse
  • Use an information model to structure content
  • Use tools to access terminologies, select appropriate codes, map local codes to standard codes, and validate standardized messages
  • Evaluate a health-related messages and map content to standard codes
  • Identify Standards Development Organizations and resources for further self-directed learning as the field evolves.

Course Logistics:

Instructure Canvas, the University of Utah’s online learning management system, will be used to manage the course. Students will be given instructions to use Canvas after they enroll. All communication will be initiated from online Canvas site, so correctly specifying your email address and setting up the mail forward feature is critical for communication.  Use the Canvas email to communicate with the Instructor and TA so your emails do not get lost.

Next course offering: January 6 - April 21, 2020

To Register:

Visit American Medical Informatics Association to learn more and to Register (AMIA) 10x10 website

This graduate level course has two main parts:

  1. Didactic learning is web-based and is provided through voice-over-powerpoint lectures, readings, interactive discussion, and self-assessment tests.  High speed internet access is highly recommended.  Most of the readings and resources required for the course are publicly available, and students will be pointed to relevant free online webinars that occur during the course, as well as resources that will provide ongoing learning after the course is completed.
  2. Skill development is enabled by participation in a Case Study. The students will be given feedback and the opportunity to share and learn from one another.  At the end of the course, students will have at least the following skills:
  • Be familiar with the existing tools for browsing different terminologies.
  • Map data to standard vocabularies for information exchange and system integration.
  • Dissect an HL7 v2 message and understand the meaning of each section.

Evaluation: To satisfactorily complete the course, students need to do the following:

  1. score at least 80% on the quizzes;
  2. participate in any online discussions assigned for selected modules (participation is tracked by the system);
  3. complete the exercises assigned during the course. Graduate-level thinking, writing, and independent study will be expected. Students taking the course for continuing education are encouraged to fully participate, but full participation is not required.  The instructors will respond to all students in a similar manner regardless of whether or not the student is taking the course for credit.

Biomedical Informatics at the University of Utah