Mar 13, 2025  
2023-2024 Undergraduate Academic Catalog-June Update 
    
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2023-2024 Undergraduate Academic Catalog-June Update [ARCHIVED CATALOG]

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IND 4120 - Healthcare Systems Engineering

3 lecture hours 0 lab hours 3 credits
Course Description
Health care, as an industry, is becoming an increasingly large part of the national and world economies while health care costs are escalating at an unsustainable rate. The purpose of this class is to increase the student’s understanding of how to apply proven industrial engineering methods to health care-related problems.  (prereq: IND 2030 , IND 3600 , IND 3820  or instructor consent) (quarter system prereqs: IE 2030, IE 3621, IE 2450, IE 3820 or instructor consent)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Explain how industrial engineering principles and methods can be applied to health care services
  • Explain and describe major healthcare processes from an engineering-based perspective
  • Describe key performance metrics that are utilized to analyze the effectiveness of health care quality and delivery
  • Apply engineering concepts and methods, including human factors, quality tools, operations research/simulation modeling, and facilities design, to health care-related problems
  • Conduct cost-based comparisons and investment justifications in a health care environment
Prerequisites by Topic
  • Basic knowledge and understanding of statistics including distributions, variability, means, standard deviations, and percentiles
  • Basic knowledge and understanding of inferential statistics (i.e., correlations, t-tests, ANOVA, regression analysis)
  • Basic knowledge of modeling including topics in optimization and simulation
Course Topics
  • Introduction to health care processes
  • Applying engineering methods to health care services
  • Information technology management in health care
  • Use of bar coding, RFID, and other tracking systems in health care
  • Human factors and medical errors
  • Quality assurance and statistical process control in health care
  • Mistake-proofing in health care
  • Modeling of healthcare processes and systems
  • Health care layouts and facilities design
Coordinator
Dr. Leah Newman


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