Accelerating Healthcare Improvement with Industrial Design of Experiments and Statistical Methods
Lead Presenter: Corey Balint
Additional Presenters: James Benneyan Luke Romeo
Faculty Advisor/Principal Investigator: James Benneyan
Method of Presentation: Poster
The overall purpose of this research area is to develop and apply quality engineering methods that can help accelerate healthcare improvement. Within this context, current projects are focusing on the use and extension of industrial type experimental design methods to help identify how to improve processes faster. This includes routine factorial type of designs as well as process robustification, highly saturated screening designs as often used in manufacturing contexts, and pseudo-based designs such as those typically used in community-based intervention contexts in cases where true randomization and controlled experiments are not realistic. The above methods will help identify which factors have the most significant effects on process performance and how to best control them to achieve desired results.