Healthcare productivity can be improved through scientific management tools for quality analysis. This problem has been recognized and a lot of research has been dedicated to overcome related problems in hospital management. However, most of the research lacks scientific procedures. This paper presents a surgery-related management problem that has not been considered before. A model is developed to determine significant factors affecting surgery delays in hospitals and surgery clinics. An experiment was designed and a regression model was developed to find a relation between surgery delays and selected factors. Results show that factors such as medical staff and missing information significantly delay surgery compared to other factors such as admission time (from hospital admission to surgery). Results can be used to control important factors to reduce delays, risks to patients, and hospital costs.