The use of Data Envelopment Analysis (DEA) in healthcare with a focus on hospitals
S Kohl, J Schoenfelder, A Fügener… - Health care management …, 2019 - Springer
The healthcare sector in general and hospitals in particular represent a main application
area for Data Envelopment Analysis (DEA). This paper reviews 262 papers of DEA …
area for Data Envelopment Analysis (DEA). This paper reviews 262 papers of DEA …
[HTML][HTML] Models and methods for determining the optimal number of beds in hospitals and regions: a systematic scoping review
Background Determining the optimal number of hospital beds is a complex and challenging
endeavor and requires models and techniques which are sensitive to the multi-level …
endeavor and requires models and techniques which are sensitive to the multi-level …
[HTML][HTML] A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016
A Emrouznejad, G Yang - Socio-economic planning sciences, 2018 - Elsevier
In recent years there has been an exponential growth in the number of publications related
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
to theory and applications of Data Envelopment Analysis (DEA). Charnes, Cooper, and …
[HTML][HTML] Prediction of hospital bed capacity during the COVID− 19 pandemic
M Deschepper, K Eeckloo, S Malfait, D Benoit… - BMC health services …, 2021 - Springer
Background Prediction of the necessary capacity of beds by ward type (eg ICU) is essential
for planning purposes during epidemics, such as the COVID− 19 pandemic. The COVID− 19 …
for planning purposes during epidemics, such as the COVID− 19 pandemic. The COVID− 19 …
Life expectancy and health expenditure evolution in Eastern Europe—DiD and DEA analysis
MB Jakovljevic, M Vukovic… - Expert review of …, 2016 - Taylor & Francis
Background: Exploration of long-term health expenditure and longevity trends across three
major sub-regions of Eastern Europe since 1989. Methods: 24 countries were classified as …
major sub-regions of Eastern Europe since 1989. Methods: 24 countries were classified as …
How efficient are Greek hospitals? A case study using a double bootstrap DEA approach
K Kounetas, F Papathanassopoulos - The European Journal of Health …, 2013 - Springer
The purpose of this study was to measure Greek hospital performance using different input–
output combinations, and to identify the factors that influence their efficiency thus providing …
output combinations, and to identify the factors that influence their efficiency thus providing …
[HTML][HTML] The core of healthcare efficiency: a comprehensive bibliometric review on frontier analysis of hospitals
TCC Nepomuceno, L Piubello Orsini, VDH de Carvalho… - Healthcare, 2022 - mdpi.com
Parametric and non-parametric frontier applications are typical for measuring the efficiency
and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital …
and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital …
[PDF][PDF] Hospital capacity planning: from measuring stocks to modelling flows
B Rechel, S Wright, J Barlow… - Bulletin of the World …, 2010 - SciELO Public Health
The metric of" bed numbers" is commonly used in hospital planning, but it fails to capture key
aspects of how hospital services are delivered. Drawing on a study of innovative hospital …
aspects of how hospital services are delivered. Drawing on a study of innovative hospital …
[HTML][HTML] Frontier-based techniques in measuring hospital efficiency in Iran: a systematic review and meta-regression analysis
Background In recent years, there has been growing interest in measuring the efficiency of
hospitals in Iran and several studies have been conducted on the topic. The main objective …
hospitals in Iran and several studies have been conducted on the topic. The main objective …
EMS planning and management
A Ingolfsson - Operations research and health care policy, 2013 - Springer
In this chapter I survey research on planning and management for emergency medical
services, emphasizing four topics: forecasting demand, response times, and workload; …
services, emphasizing four topics: forecasting demand, response times, and workload; …