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Course Catalog

315.709.81 Health Sciences Informatics, Knowledge Engineering and Decision Support

Department:
Health Policy and Management
Term:
4th term
Credits:
3 credits
Academic Year:
2017 - 2018
Location:
Internet
Auditors Allowed:
No
Grading Restriction:
Letter Grade or Pass/Fail
Contact:
Harold Lehmann
Course Instructor:
Resources:
Prerequisite:

Introduction to Online Learning is required prior to participating in any of the School's Internet-based courses.

Description:

Provides a framework for understanding decision support in the workflow of the health sciences. Focuses on the types of support needed by different decision makers, and the features associated with those types of support. Discusses a variety of decision support algorithms, examining advantages and disadvantages of each, with a strong emphasis on decision analysis as the basic science of decision making. Students are expected to demonstrate facility with one algorithm in particular through the creation of a working prototype, and to articulate the evidence for efficacy and effectiveness of various types of decision support in health sciences and practice, in general.

Learning Objectives:

Upon successfully completing this course, students will be able to:

  1. Discuss motivations and needs for real-time decision support
  2. Identify gaps in a decision support plan
  3. Provide a high-level design for a decision support intervention and implementation
  4. Identify opportunities for unintended consequences of decision support
  5. Discuss strengths and weaknesses of different designs (knowledge-centric vs application-centric) for decision support
  6. Discuss strengths and weaknesses of different representations for decision support: Tables, Templates, Rules, Data Dictionaries, Taxonomies, Semantic Networks, and Ontologies
  7. Match candidate decision support representations to a decision support problem
  8. Match candidate knowledge acquisition methods to a decision support problem
  9. Classify decision support uses in multiple contexts
Methods of Assessment:

Student Evaluation is based on homework assignments, project, final exam and participation in live chats

Instructor Consent:

No consent required

Special Comments:

This is the same course as SOM 600.901