2020
DOI: 10.21203/rs.3.rs-70869/v1
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Modeling the No-Show of Patients to Exam Appointments of Computed Tomography

Abstract: Background: No-shows of patients have negative impacts on healthcare systems, such as resources’ underutilization, efficiency loss, and cost increase. Predicting no-show is key to develop strategies that counteract its effects. In this paper, we propose a model to predict the no-show of ambulatory patients to exam appointments of computed tomography at the Radiology department of a large Brazilian public hospital.Methods: We carried out a retrospective study on 8,382 appointments made to computed tomography (C… Show more

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