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315.709.81
Health Sciences Informatics, Knowledge Engineering and Decision Support

Location
Internet
Term
4th Term
Department
Health Policy and Management
Credit(s)
3
Academic Year
2014 - 2015
Instruction Method
TBD
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Prerequisite

Introduction to on-line learning

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. 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
Special Comments

This is the same course as SOM 600.901