In primary care mainly two types of patient requests occur: walk-ins without an appointment and patients with a prescheduled appointment. The number and position of such prescheduled appointments influence waiting times for patients, capacity for treatment and the utilization of physicians. An integer linear model is developed, where the minimum number of appointments prescheduled for a weekly profile is determined. Since the number of patient requests differs significantly between seasons, weekdays and daytime, efficient appointment scheduling has to take different scenarios into account. Using an intensive monte-carlo simulation, we compare appointment strategies with respect to their performance for different scenarios.
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Univ Amsterdam, Inst Business & Ind Stat, NL-1018 TV Amsterdam, NetherlandsUniv Amsterdam, Inst Business & Ind Stat, NL-1018 TV Amsterdam, Netherlands
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Shaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R ChinaShaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R China
Gao, Yuan
Zhang, Qian
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Shaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R ChinaShaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R China
Zhang, Qian
Lau, Chun Kit
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Hong Kong Baptist Univ, Fac Business & Management, Beijing Normal Univ, United Int Coll, Zhu Hai 519000, Peoples R ChinaShaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R China
Lau, Chun Kit
Ram, Bhagwat
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Indian Inst Management Ahmedabad, Ctr Digital Transformat, Ahmadabad 380015, Gujarat, IndiaShaanxi Normal Univ, Int Business Sch, Xian 710119, Peoples R China
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Department of Epidemiology and Biostatistics, Erasmus Medical Center, RotterdamDepartment of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam
Kaandorp G.C.
Koole G.
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Department of Mathematics, VU University Amsterdam, Amsterdam
Department of Mathematics, Vrije Universiteit, 1081 HV AmsterdamDepartment of Epidemiology and Biostatistics, Erasmus Medical Center, Rotterdam