Applying a simulation model in order to manage waiting lists for hospital inpatient activity in an EU region

Reyes-Santías, Francisco; Cadarso‐Suárez, Carmen; Martínez-Calvo, Adela

doi:10.1016/j.mcm.2011.11.077

Cited by 9 publications

(2 citation statements)

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“…En la investigación realizada por [9], el objetivo fue reproducir por medio de la simulación, el comportamiento de la actividad diaria en el tratamiento de los pacientes hospitalizados y la duración de estadía de los pacientes en hospitales públicos gallegos. Todo esto relacionado principalmente con la variable de la cantidad de camillas y su efecto en la actividad en hospitalizaciones, su duración y consecuentemente la lista de espera.…”

Section: Introductionunclassified

Modelo de simulación para la mejora de procesos en un hospital de neoplásicas

Pareja¹,

Carrillo²,

Tupayachy³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

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The following research presents the development of a simulation model developed in the Arena 14.0 program for the patient care process of a Neoplastic Hospital in the city of Arequipa-Peru. The main problem is the waiting time to be taken care of in the different specialties offered by the hospital and in second place the unsatisfied demand that exists for patients who request attention. The research is oriented to the areas of appointments, admission and external consultations in nine specialties. For its development, the data was collected directly through observation and statistical records of the institution. In a first stage, elements that make up the process are identified, by means of diagrams, and then samples were taken for arrival times and service times. The analysis of the model reveals that there are bottlenecks and limitations of the quotas by specialty. With the obtained information, a simulation model was validated in which different process improvement alternatives are proposed in order to reduce the waiting times of the patients. As a result, we propose some solutions to the main problems and improvements in the service provided by the institution.

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Section: Introductionunclassified

Modelo de simulación para la mejora de procesos en un hospital de neoplásicas

Pareja¹,

Carrillo²,

Tupayachy³

2019

Proceedings of the 17th LACCEI International Multi-Conference for Engineering, Education, and Technology: “Industry, Innovation

View full text Add to dashboard Cite

show abstract

“…Cardiac Catheterization labs (CCL) are another healthcare systems whose performance were documented in two different studies conducted by Venkatadri, Arasanipalai Raghavan, Kesavakumaran, Lam, and Srihari (2011), who studied the sensitivity of the lab performance to different sources of delay such as transfer delays, and room turnaround time, and Gupta et al (2007), who studied the sensitivity of the lab performance to different capacity and patient arrival scenarios. The effect of number of beds in a healthcare system on the patients waiting time was evaluated in a simulation study by Reyes-Santías, Cadarso-Suárez, and Martínez-Calvo (2012). Nikakhtar and Hsiang (2014) studied the influence of different epidemic outbreaks on the patient flow and performance of a healthcare system by developing a simulation model to generate patients based on the dynamics of the disease.…”

Section: Introductionmentioning

confidence: 99%