Minimizing total cost in scheduling outpatient appointments
Management Science
Simulating outpatient obstetrical clinics
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Simulation with Arena
Proceedings of the 35th conference on Winter simulation: driving innovation
Outpatient clinic scheduling: a simulation approach
WSC '04 Proceedings of the 36th conference on Winter simulation
Functional analysis for operating emergency department of a general hospital
WSC '04 Proceedings of the 36th conference on Winter simulation
Simulation analysis of an outpatient department of internal medicine in a university hospital
Proceedings of the 38th conference on Winter simulation
Hospital management knowledge discovery using discrete event simulation
ACSW '07 Proceedings of the fifth Australasian symposium on ACSW frontiers - Volume 68
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Optimizing staffing schedule in light of patient satisfaction for the whole outpatient hospital ward
Proceedings of the 40th Conference on Winter Simulation
Outpatient appointment scheduling in a multi facility system
Proceedings of the 40th Conference on Winter Simulation
ASM'10 Proceedings of the 4th international conference on Applied mathematics, simulation, modelling
Winter Simulation Conference
Operations analysis and appointment scheduling for an outpatient chemotherapy department
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Long waiting times for treatment in the outpatient department of internal medicine, followed by short consultations has long been a complaint of patients. This issue is becoming increasingly important in Japan with the progressively aging society. In this context, a discrete event simulation model to examine various appointment schedules in a mixed-patient type environment in an outpatient department of a general hospital was developed. A special purpose data generator was designed to validate the model and to conduct experiments in bottleneck situations at consultation rooms in the existing system. Some efficient appointment schedules (ASs) were identified, which drastically reduced patient waiting time while keeping doctor idle time as low as possible without adding extra resources. The sensitivity of performance was examined under three realistic environmental factors: no show, variance of consultation time, and variation of walk-ins.