Enhancing antenatal clinics decision-making through the modelling and simulation of patients flow by using a system dynamics approach. A case for a British northwest hospital

Jorge E. Hernandez, Ted Adams, Hossam Ismail, Hui Yao

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In the past 60 years, the maternal mortality rate in the United Kingdom has dropped considerably. However, the number of high-risk pregnancies including those complicated by pre-existing maternal health problems e.g. diabetes or lifestyle illnesses e.g. obesity has resulted in an increased demand on obstetric outpatient management of pregnancy at British National Health Service hospitals. In addition, patients also expect better access and convenient appointments in the antenatal clinic. Despite on-going work in these areas, long delays in clinic waiting rooms continue to be a great source of frustration for patients and staff. These delays have a considerable social cost to the economy and a financial cost to the health economy. Therefore, this paper considers a realistic study for supporting decision-makers in antenatal clinics in British northwest hospitals by using a system dynamics approach through causal-loop diagrams. The focus is to enhance the performance of the clinic, by understanding the flow of patients though a hospital clinic thereby aiming to reduce waiting times for patients.

Idioma originalInglés
Título de la publicación alojadaDecision Support Systems VI – Addressing Sustainability and Societal Challenges - 2nd International Conference, ICDSST 2016, Proceedings
EditoresBoris Delibašić, Shaofeng Liu, Festus Oderanti
EditorialSpringer Verlag
Páginas44-55
Número de páginas12
ISBN (versión impresa)9783319328768
DOI
EstadoPublicada - 2016
Publicado de forma externa
Evento2nd International Conference on Decision Support System Technology, ICDSST 2016 - Plymouth, Reino Unido
Duración: 23 may. 201625 may. 2016

Serie de la publicación

NombreLecture Notes in Business Information Processing
Volumen250
ISSN (versión impresa)1865-1348

Conferencia

Conferencia2nd International Conference on Decision Support System Technology, ICDSST 2016
País/TerritorioReino Unido
CiudadPlymouth
Período23/05/1625/05/16

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