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- W202904244 abstract "All accredited Dental Schools offering degrees in Doctor of Dental Surgery are required by the American Dental Associations (ADA) Commission on Dental Accreditation that their dental students have adequate patient experiences to demonstrate dental competency in general dentistry. To meet these requirements all accredited dental schools have established clinical experience and competency requirements. Throughout the clinical training period patients with varied treatment needs are assigned to students to ensure that all students have adequate number of patients assigned to complete the clinical experience requirements at the expected level of competency before graduation and licensure. At the University of Detroit Mercy Dental School, the schedulers use a manual patient scheduling and assignment process (PSA) to assign patients. At the time of patient assignment, manually selecting the best student-patient matches out of numerous choices within a finite population of students is computationally complex, challenging, laborious, and time consuming. Some of the challenges with this process are due to varied clinical experience shortages for each student, patients with varying dental care needs, finite clinical resources, curriculum constraints and requirements, and the presence of controlled and uncontrolled variables such as patient cancellations and no-shows. Historical records of the previous graduating classes indicate that some of the students require an additional one to three months of clinical time to complete their clinical experience requirements. These overflow students impose logistical and financial consequences for both the dental school and themselves.This paper discusses the development of a re-engineered patient assignment process based on a custom algorithm and a local search enumeration method, Tabu. The triangulated validation testing results of the new automated patient assignment process indicates that it would decrease the number of overflow students and reduce the time to assign patient." @default.
- W202904244 created "2016-06-24" @default.
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- W202904244 date "2011-01-01" @default.
- W202904244 modified "2023-09-27" @default.
- W202904244 title "Solving student-patient assignment problem using a custom algorithm and tabu search in a dental clinic setting" @default.
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