Abstract

This paper demonstrates the use of Design of Experiments (DoE) coupled with simulation to design a robust and cost-effective intervention in a systematic way. DoE provides a simple and intuitive method to find the optimum settings of the input factors for the most cost-effective intervention. Moreover, DoE addresses the critique that health care simulations unrealistically assume ideal conditions in simulating the impact of a particular intervention by utilizing robust parameter design to find settings that make the intervention robust to variations, such as uncertainty in some input factors. Both the determination of the optimum input factor settings for the intervention as well as robust parameter design for interventions would be demonstrated here, using the design of Diabetic Retinopathy (DR) screening strategy as illustration. A Markov simulation with elements of screening strategy as input factors and cost as the …

Metadata

publication

2010 IEEE International Conference on Industrial Engineering and Engineering …, 2010

year

2010

publication date

2010/12/7

authors

I Vidyanti, S Wu, C Kesselman

link

https://ieeexplore.ieee.org/abstract/document/5674281/

conference

2010 IEEE International Conference on Industrial Engineering and Engineering Management

pages

1611-1615

publisher

IEEE