By the end of the course, students will acquire knowledge and skills related to healthcare process management in terms of modeling and simulation and optimisation techniques. The course of simulation techniques in healthcare processes (MOD2) can be attended as a single course or integrated with healthcare operations course (MOD1).
1.SIMULATION TECHNIQUES AND THEIR APPLICATION
• Principles of discrete simulation (e.g. Montecarlo simulations).
• Examples in the health sector (taking into account limited resources, e.g. personnel, money, time, equipment).
2.INTRODUCTION TO SIMULATION SOFTWARE (FlexSim)
• Description of the simulation software.
• Mode and type of data to be provided in INPUT.
• Mode and type of data given in OUTPUT (e.g. type of extractable data).
Implementation of simulation models to the Alpha Case.
Simulation of hospital processes (e.g. management of a department, operating room, booking center, laboratories for analysis) or other areas in the health environment.
3.CRITERIA FOR PROCESS OPTIMIZATION
• Analysis of input variability effects and process execution times.
• Sensitivity analysis.
• Process improvement (use of quality tools, e.g. cause-effect, etc.)
• Risk analysis and FMEA techniques.
Application of optimization models to the Alpha Case.
Meet the practitioners: discussing about healthcare practical experiences and solutions.
The final exam consists of a compulsory written test.
In addition, students can develop an optional assignment that will contribute to the final grade with an additional score.
For students attending both modules, there will be a single written exam and a single assignment development.