IE492 DECISION MAKING IN HEALTH CARE
| Course Code: | 5680492 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 5.0 |
| Department: | Industrial Engineering |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | Assist.Prof.Dr SAKİNE BATUN |
| Offered Semester: | Once in several years. |
Course Objectives
By the end of the course, the students will:
- know the basics of economic evaluation of healthcare interventions.
- know the basics of decision analytic modeling in healthcare.
- become familiar with the application of advanced decision making under uncertainty techniques to healthcare problems.
Course Content
Introducing the rapidly proliferating applications of decision theory in health services sector - a fast growing sector itself. Measurement of costs & value of health outcomes; health-related quality of life issues; evaluations; modeling value & time preferences(patient, physician, provider) and uncertainty in medical decision making for research policy purposes.
Course Learning Outcomes
Student, who passed the course satisfactorily will be able to:
- distinguish between different types of economic evaluation
- identify and measure the costs and value of health outcomes
- perform cost-effectiveness analysis to select among alternative courses of actions
- perform sensitivity analysis for cost-effectiveness ratios
- formulate various problems in healthcare using decision trees
- measure the value of information for a problem formulated by a decision tree
- perform sensitivity analysis for decision trees
- formulate various problems in healthcare using dynamic models
- formulate various problems in healthcare using Markov decision processes
- formulate various problems in healthcare using stochastic programming
Program Outcomes Matrix
| Contribution | |||||
| # | Program Outcomes | No | Yes | ||
| 1 | An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics | ✔ | |||
| 2 | An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors | ✔ | |||
| 3 | An ability to communicate effectively with a range of audiences | ✔ | |||
| 4 | An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts | ✔ | |||
| 5 | An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives | ✔ | |||
| 6 | An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions | ✔ | |||
| 7 | An ability to acquire and apply new knowledge as needed, using appropriate learning strategies | ✔ | |||
| 8 | An ability to design, analyze, operate, and improve integrated systems that produce and/or supply products and/or services in an effective, efficient, sustainable, and socially responsible manner | ✔ | |||
| 9 | An ability to apply critical reason and systems thinking in problem solving and systems design | ✔ | |||
| 10 | An ability to use scientific methods and tools (such as mathematical models, statistical methods and techniques) necessary for industrial engineering practice | ✔ | |||