The Usefulness of Patients?? Individual Characteristics in Predicting No-Shows in Outpatient Clinics

Abstract
Patients' characteristics and no-show patterns are analyzed in order to determine the number of patients to schedule in outpatient clinics. This predictive model is evaluated on a second sample of data and compared with another scheduling technique that is based on the average no-show rate for each clinic. Our survey suggests that it is possible to predict accurately the number of no-shows with a small set of variables, and that patient scheduling can be improved by paying attention to the characteristics of individual patients. The most important single predictor is the patient's previous appointment-keeping pattern.

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