2013 Winter Simulations Conference (WSC) 2013
DOI: 10.1109/wsc.2013.6721606
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Modeling and simulation of patient admission services in a multi-specialty outpatient clinic

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Cited by 15 publications
(2 citation statements)
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“…Objectives [58] Cardiothoracic surgery Investigating the reduction of patient waiting times and the removal of resource constraints by enhancing the schedule and reallocating capacity [59] Obesity center Identifying the impact of capacity changes in resources and patient referral rates on the waiting time and waiting list of obesity patients [60] Multispecialty outpatient clinic Development of a DES model for analyzing the patient admission process to reduce waiting time and the number of phone calls unanswered [61] Ultrasound department Reducing waiting times for patients and unemployment time for doctors in the appointment scheduling system using combined mathematical programming and simulation optimization procedures [62] Outpatient clinic Investigating the impact of various appointment schedules for patients on key performance indicators such as unemployment time and overtime of doctors and waiting time of patients [63] Outpatient chemotherapy department Reviewing patient appointment scheduling policies to reduce waiting times for patients and improve resource utilization [64] Accident and emergency department (AED) Improving the accident and emergency department (AED) service quality by reducing waiting times for patients and enhancing the efciency of emergency operations [55] Emergency department Developing an integrated simulation model using DES with an approach to system dynamics (SD) in order to reduce waiting times for patients, improve the fow of emergency patients, and analyze the implementation of a fast track strategy (FT) [65] Neonatal intensive care unit (NICU) Planning and predicting the number of nursing staf needed in a NICU [66] Orthopedic surgery department Te surgery scheduling of patients in the orthopedic surgery department using DES and integer programming with the aim of using the operating rooms' time and minimizing the make span in order to provide the best allocation of patients to the operating rooms (ORs) [67,68] Outpatient orthopedic clinic Identifcation and evaluation of improvement alternatives such as optimizing staf levels and better patient scheduling in order to reduce waiting time, lot of stay, and the end (time) of the total visit of patients [69] Surgical center Investigating the impact of various scheduling planning of both point-by-point (PBP) and anatomically-designed (AD) procedures in the treatment of atrial fbrillation on resource consumption, average cost, and OR utilization [70] Emergency department Simulation with DEA and ABC method in order to evaluate the impact of human resource allocation scenarios on patient waiting time, nursing staf productivity improvements and costs [71] Emergency department Simulation combined with optimization in order to determine the optimal number of physicians, laboratory technicians and nurses required to maximize patient throughput and to reduce patient waiting time [72] Outpatient patient...…”
Section: References Data Sourcesmentioning
confidence: 99%
“…Objectives [58] Cardiothoracic surgery Investigating the reduction of patient waiting times and the removal of resource constraints by enhancing the schedule and reallocating capacity [59] Obesity center Identifying the impact of capacity changes in resources and patient referral rates on the waiting time and waiting list of obesity patients [60] Multispecialty outpatient clinic Development of a DES model for analyzing the patient admission process to reduce waiting time and the number of phone calls unanswered [61] Ultrasound department Reducing waiting times for patients and unemployment time for doctors in the appointment scheduling system using combined mathematical programming and simulation optimization procedures [62] Outpatient clinic Investigating the impact of various appointment schedules for patients on key performance indicators such as unemployment time and overtime of doctors and waiting time of patients [63] Outpatient chemotherapy department Reviewing patient appointment scheduling policies to reduce waiting times for patients and improve resource utilization [64] Accident and emergency department (AED) Improving the accident and emergency department (AED) service quality by reducing waiting times for patients and enhancing the efciency of emergency operations [55] Emergency department Developing an integrated simulation model using DES with an approach to system dynamics (SD) in order to reduce waiting times for patients, improve the fow of emergency patients, and analyze the implementation of a fast track strategy (FT) [65] Neonatal intensive care unit (NICU) Planning and predicting the number of nursing staf needed in a NICU [66] Orthopedic surgery department Te surgery scheduling of patients in the orthopedic surgery department using DES and integer programming with the aim of using the operating rooms' time and minimizing the make span in order to provide the best allocation of patients to the operating rooms (ORs) [67,68] Outpatient orthopedic clinic Identifcation and evaluation of improvement alternatives such as optimizing staf levels and better patient scheduling in order to reduce waiting time, lot of stay, and the end (time) of the total visit of patients [69] Surgical center Investigating the impact of various scheduling planning of both point-by-point (PBP) and anatomically-designed (AD) procedures in the treatment of atrial fbrillation on resource consumption, average cost, and OR utilization [70] Emergency department Simulation with DEA and ABC method in order to evaluate the impact of human resource allocation scenarios on patient waiting time, nursing staf productivity improvements and costs [71] Emergency department Simulation combined with optimization in order to determine the optimal number of physicians, laboratory technicians and nurses required to maximize patient throughput and to reduce patient waiting time [72] Outpatient patient...…”
Section: References Data Sourcesmentioning
confidence: 99%
“…They consider factors like noshows, patient punctuality and appointment blocks in their study. Mocarzel et al propose a simulation model to analyse and improve several issues regarding the admission process and resource workflow faced by a hospital [16].…”
Section: Operations Research Literaturementioning
confidence: 99%