University of Hertfordshire

By the same authors

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Modelling length of stay and patient flows : Methodological case studies from the UK neonatal care services. / Demir, Eren; Lebcir, Mohamed; Adeyemi, Shola.

University of Hertfordshire, 2013. (Hertfordshire Business School Working Paper).

Research output: Working paper

Harvard

Demir, E, Lebcir, M & Adeyemi, S 2013 'Modelling length of stay and patient flows: Methodological case studies from the UK neonatal care services' Hertfordshire Business School Working Paper, University of Hertfordshire.

APA

Demir, E., Lebcir, M., & Adeyemi, S. (2013). Modelling length of stay and patient flows: Methodological case studies from the UK neonatal care services. (Hertfordshire Business School Working Paper). University of Hertfordshire.

Vancouver

Demir E, Lebcir M, Adeyemi S. Modelling length of stay and patient flows: Methodological case studies from the UK neonatal care services. University of Hertfordshire. 2013 Mar 7. (Hertfordshire Business School Working Paper).

Author

Demir, Eren ; Lebcir, Mohamed ; Adeyemi, Shola. / Modelling length of stay and patient flows : Methodological case studies from the UK neonatal care services. University of Hertfordshire, 2013. (Hertfordshire Business School Working Paper).

Bibtex

@techreport{cbac3a736d00405ea1dd0bd1c8c4b31a,
title = "Modelling length of stay and patient flows: Methodological case studies from the UK neonatal care services",
abstract = "The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Given the structural changes in the National Health Service in England, coupled with recession and capacity constraints, the neonatal system is facing some serious challenges, such as nurse shortages and the lack of cots, which could inevitably impact neonates length of stay, and the performance of the system as a whole. These constraints have forced neonatal managers to better understand their organisation and operations in order to optimize their systems. As a result, we have developed three unique methodologies based on length of stay modelling, physical patient pathways, and system dynamics modelling. This paper evaluates these techniques applied to neonatal services in London, and showcases their usefulness and implications in practice, particularly focusing on patient flow to determine major drivers of the system, which could reduce inefficiencies, improve patient experience, and reduce cost",
author = "Eren Demir and Mohamed Lebcir and Shola Adeyemi",
note = "Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holders",
year = "2013",
month = mar,
day = "7",
language = "English",
series = "Hertfordshire Business School Working Paper",
publisher = "University of Hertfordshire",
type = "WorkingPaper",
institution = "University of Hertfordshire",

}

RIS

TY - UNPB

T1 - Modelling length of stay and patient flows

T2 - Methodological case studies from the UK neonatal care services

AU - Demir, Eren

AU - Lebcir, Mohamed

AU - Adeyemi, Shola

N1 - Copyright and all rights therein are retained by the authors. All persons copying this information are expected to adhere to the terms and conditions invoked by each author's copyright. These works may not be re-posted without the explicit permission of the copyright holders

PY - 2013/3/7

Y1 - 2013/3/7

N2 - The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Given the structural changes in the National Health Service in England, coupled with recession and capacity constraints, the neonatal system is facing some serious challenges, such as nurse shortages and the lack of cots, which could inevitably impact neonates length of stay, and the performance of the system as a whole. These constraints have forced neonatal managers to better understand their organisation and operations in order to optimize their systems. As a result, we have developed three unique methodologies based on length of stay modelling, physical patient pathways, and system dynamics modelling. This paper evaluates these techniques applied to neonatal services in London, and showcases their usefulness and implications in practice, particularly focusing on patient flow to determine major drivers of the system, which could reduce inefficiencies, improve patient experience, and reduce cost

AB - The number of babies needing neonatal care is increasing due mainly to technological and therapeutic advances. These advances have implied a decreasing neonatal mortality rate for low birth weight infants and also a falling incidence of preterm stillbirth. Given the structural changes in the National Health Service in England, coupled with recession and capacity constraints, the neonatal system is facing some serious challenges, such as nurse shortages and the lack of cots, which could inevitably impact neonates length of stay, and the performance of the system as a whole. These constraints have forced neonatal managers to better understand their organisation and operations in order to optimize their systems. As a result, we have developed three unique methodologies based on length of stay modelling, physical patient pathways, and system dynamics modelling. This paper evaluates these techniques applied to neonatal services in London, and showcases their usefulness and implications in practice, particularly focusing on patient flow to determine major drivers of the system, which could reduce inefficiencies, improve patient experience, and reduce cost

M3 - Working paper

T3 - Hertfordshire Business School Working Paper

BT - Modelling length of stay and patient flows

PB - University of Hertfordshire

ER -