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The objective of this work is to create an active interaction between real and theoretical results. Study design was a cross-sectional study, and the opinion of 100 leaders against the hospital operation was used. The data sources were primary data collected from the leaders in King Abdullah University Hospital (KAUH)-Jordan. The findings show the system represents the input variable (input flexibility, process flexibility and outcomes flexibility) as well as hospital performance as production. Depending on the actual results, design identification system assessed the effects of input flexibility, process flexibility and outcomes flexibility against hospital performance to be 68.9%, 68.9% and 77%, respectively. In conclusions, a computational mathematical model that was derived based on factual data has a high accuracy to optimize the active input parameters of input flexibility, process flexibility and outcomes flexibility to be equal 84.3%, 85.6% and 95.5%, respectively, to produce optimum outcomes 93%. However, more studies are needed to confirm the outcomes of this survey using this active technique.

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