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Course Catalog

315.709.81 Health Sciences Informatics, Knowledge Engineering and Decision Support

Health Policy and Management
4th term
3 credits
Academic Year:
2013 - 2014
Auditors Allowed:
Grading Restriction:
Letter Grade or Pass/Fail
Harold Lehmann
Course Instructor:

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


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. Identify the place of decision support in the informatics infrastructure
  2. Discuss the formal approaches to decision making
  3. Identify the psychological approaches to decision making
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