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Term: 4th term
Credits: 3 credits
Contact: Harold Lehmann
Academic Year: 2014 - 2015
Course Instructor:

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 Objective(s):
Upon successfully completing this course, students will be able to:
Identify the place of decision support in the informatics infrastructure
Discuss the formal approaches to decision making
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
Location: Internet
Enrollment Minimum: 15
Instructor Consent: No consent required

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

Auditors Allowed: No
Grading Restriction: Letter Grade or Pass/Fail
Jointly Offered With:
  • ME
Special Comments: This is the same course as SOM 600.901