Integrating simulation and optimisation in health care centre management

Angelis, V. De; Felici, Giovanni; Impelluso, P.

doi:10.1016/s0377-2217(02)00791-9

Cited by 72 publications

(35 citation statements)

References 20 publications

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“…De Angelis et al [6] investigate the problem of assigning resources and servers (e.g., doctors, beds, instruments) to services. Akcali et al [7] tackle the problem of optimizing hospital bed capacity planning through a network flow approach.…”

Section: Resource Management In Healthcare Systemsmentioning

confidence: 99%

A Cooperative Model to Improve Hospital Equipments and Drugs Management

Baffo

Confessore²,

Liotta³

et al. 2009

Leveraging Knowledge for Innovation in Collaborative Networks

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Abstract. The cost of services provided by public and private healthcare systems is nowadays becoming critical. This work tackles the criticalities of hospital equipments and drugs management by emphasizing its implications on the whole healthcare system efficiency. The work presents a multi-agent based model for decisional cooperation in order to address the problem of integration of departments, wards and personnel for improving equipments, and drugs management. The proposed model faces the challenge of (i) gaining the benefits deriving from successful collaborative models already used in industrial systems and (ii) transferring the most appropriate industrial management practices to healthcare systems.

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Section: Resource Management In Healthcare Systemsmentioning

confidence: 99%

A Cooperative Model to Improve Hospital Equipments and Drugs Management

Baffo

Confessore²,

Liotta³

et al. 2009

Leveraging Knowledge for Innovation in Collaborative Networks

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show abstract

“…Desde el punto de vista del administrador de salud, la eficiencia se mide a menudo por el costo de proporcionar un determinado nivel de servicio. Los usuarios de los servicios de salud, por otro lado, además de exigir una buena calidad de servicio, desean una pronta atención, (De Angelis et al 2003).…”

Section: Introductionunclassified

Modelo de Predicción de Costos en Servicios de Salud Soportado en Simulación Discreta

Vargas

Giraldo

2014

Inf. tecnol.

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ResumenSe ha desarrollado un modelo de apoyo a la toma de decisiones sobre los costos de prestación de servicios de salud. Se usa simulación discreta, evaluando diferentes escenarios de prestación de servicios de una Entidad Prestadora de Servicios de Salud (EPS): consulta médica general, urgencias, hospitalización y enfermedades catastróficas, entre otros, El modelo se realizó para que una EPS típica simule el costo de prestación de servicios por un año, a partir de indicadores tomados de estadísticas de salud del orden nacional cuyos valores fueron ajustados al comportamiento específico de la EPS. Los resultados obtenidos con el modelo permitieron determinar que el enfoque de cálculo de costos es efectivo, y que los promedios nacionales de ciertos parámetros deben ser modificados para cada caso. De otra forma se pueden producir errores importantes en el presupuesto al no incluir la variación en estos parámetros. Palabras clave: simulación discreta, soporte a decisiones, servicios de salud, costos en salud Prediction Model of Costs in Health Services Supported in Discrete SimulationAbstract A model to support decision making about health service is proposed. Discrete simulation has been used, evaluating different scenarios of health service delivered by an Institution of Health Services (IHS): general medical consultation, emergency, hospitalization and catastrophic diseases, among others. The model was developed so any IHS can simulate typical cost of service for one year using indicators from national health statistics adjusting values to the specific behavior of the HIS. The results obtained with the model have revealed that the costing approach is effective, and that the national average values of certain parameters must be modified for each case. Otherwise, important errors can be introduced in the budget when the variations of these parameters are not included.

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“…The most interesting suggestion is that, as donations by men are quicker, scheduling more men at the start of a session can be beneficial. Subsequently, simulation studies have also been performed by Brennan et al [38], De Angelis et al [15] and Alfonso et al [8]. In essence, simulation is a tool that can be used for evaluation of scenarios and to achieve better performance by choosing the best scenario.…”

Section: Discussionmentioning

confidence: 99%

“…One of the two test cases included in their paper is based on a blood collection site. De Angelis et al [15] studied the allocation of servers at health care systems by combining simulation and optimization. They also used a blood collection site to demonstrate the practical application of their method.…”

Section: Literaturementioning

confidence: 99%

Bloody fast blood collection

Brummelen¹,

Josephus²

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Integrating simulation and optimisation in health care centre management

Cited by 72 publications

References 20 publications

A Cooperative Model to Improve Hospital Equipments and Drugs Management

A Cooperative Model to Improve Hospital Equipments and Drugs Management

Modelo de Predicción de Costos en Servicios de Salud Soportado en Simulación Discreta

Bloody fast blood collection

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