PurposePreoperative clinics are an increasingly common mechanism for preoperative evaluation. Factors predicting prolonged visit times are poorly understood. Our objective was to identify patient factors that would allow non-medically trained staff to determine appropriate scheduling needs. MethodsAt the preoperative assessment center of a tertiary care hospital, patient data were prospectively collected on 25 risk factors hypothesized to be related to a prolonged visit length, defined as greater than the unit benchmark of 75 min. The association between these risk factors and prolonged visit length was assessed. ResultsData were collected on 1053 patients seen at the preoperative center over a two month period. The median patient age was 58 years (interquartile range [IQR]: 47, 67). A total of 446 patients (42%) had a prolonged visit length. Significant multivariate predictors of a prolonged visit length were: age greater than 80 years (p = 0.003), taking >6 prescription medications (p = 0.0002), functional status of <3 metabolic equivalents (p = 0.002), currently having > 3 medical providers (p = 0.0005), inability to explain details of one's medical history (p = 0.001), and planned ICU postoperative stay (p = 0.0004). ConclusionsPredictors of prolonged visit length include factors that can be obtained prior to the date of evaluation. Scheduling models integrating such predictors into workflow processes have the potential to improve patient care and allow for more efficient use of resources for the preoperative assessment.