An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators

Torabzadeh, Seyed Ahmad; Tavakkoli–Moghaddam, Reza; Samieinasab, Mina; Hamid, Mahdi

doi:10.1016/j.compbiomed.2022.105656

Cited by 10 publications

(5 citation statements)

References 33 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DEA is a non-parametric method, based on optimization and linear programing that compares the performance of decision-making units (DMUs). 9,49–57 This method was first proposed by Charnes et al, 58 focusing on measuring key inputs and outputs related to decision groups. Indicators whose low levels/ranks are desirable, such as Length of hospital stay and Boarding time , are selected as input parameters of the DEA model.…”

Section: Methodsmentioning

confidence: 99%

“…Discovering the reason for the positive or negative impact of each indicator on ED performance Conducting SWOT analysis to determine the appropriate strategy for improving ED performance DEA DEA is a non-parametric method, based on optimization and linear programing that compares the performance of decision-making units (DMUs). 9,[49][50][51][52][53][54][55][56][57] This method was first proposed by Charnes et al, 58 focusing on measuring key inputs and outputs related to decision groups. Indicators whose low levels/ranks are desirable, such as Length of hospital stay and Boarding time, are selected as input parameters of the DEA model.…”

Section: Running the Dea Model By Removing Indicators And Sub-indicat...mentioning

confidence: 99%

“…The COVID-19 pandemic has led to large-scale changes in healthcare systems and people's lives. 8,9 One of these changes is the increased number of patients referring to the ED with respiratory symptoms and fever. As a result, it puts increasing pressure on the healthcare system, especially the ED, at the forefront.…”

Section: Introduction and Review Literaturementioning

confidence: 99%

See 2 more Smart Citations

An integrated framework to evaluate and improve the performance of emergency departments during the COVID-19 pandemic: A mathematical programing approach

Taghipour

Hamid

Aghakarimi

et al. 2023

Proc Inst Mech Eng H

Self Cite

View full text Add to dashboard Cite

The emergency department (ED) is one of the most critical and high-risk sections of the health system. Providing quality services at a fast pace is vital in this ward since it directly affects people’s lives. The COVID-19 pandemic has turned into a serious challenge for physicians and emergency departments (EDs). The growing number of patients who refer to EDs creates congestion, which will reduce the quality of services. Consequently, managing and operating EDs will be more urgent during this pandemic. Considering this problem, we first used data envelopment analysis (DEA) to evaluate the performance of EDs in the central provinces of Iran. Then, sensitivity analysis was used to determine the main factors affecting the efficiency of this ward. Accordingly, the high number of admitted patients, the congestion of the ward, and the long time required to report the COVID-19 test results were found to be the most influential factors. Finally, drawing on the results of sensitivity analysis, we advance a number of measures to improve these three and other related indicators. Furthermore, appropriate strategies were presented for improving health, COVID-19 management, key performance indicators, and safety indicators in accordance with the results of strengths-weaknesses-opportunity-threat (SWOT) analysis.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Running the Dea Model By Removing Indicators And Sub-indicat...mentioning

confidence: 99%

See 1 more Smart Citation

An integrated framework to evaluate and improve the performance of emergency departments during the COVID-19 pandemic: A mathematical programing approach

Taghipour

Hamid

Aghakarimi

et al. 2023

Proc Inst Mech Eng H

Self Cite

View full text Add to dashboard Cite

show abstract

“…DMUs). DEA is a non-parametric method based on linear programming that is used for performance assessment of different environments like care unit (Taghipour et al ., 2023, Mehdizadeh-Somarin et al ., 2022; Torabzadeh et al ., 2022; Samieinasab et al ., 2022), bank (Aghakarimi et al ., 2023), factory (Mahboobi et al ., 2020), construction sites (Mohammadnazari et al. , 2023), retail store (Barros and Alves, 2004) and the semiconductor industry (Chen and Chen, 2007).…”

Section: Methodsmentioning

confidence: 99%

Evaluating and improving the performance of retailers' branches by considering resilience, sustainability and sales-marketing

Aghakarimi

Karimi

Aghsami

et al. 2023

IJPPM

View full text Add to dashboard Cite

PurposeConsidering the direct impact of retailers' performance on the economy, this paper aimed to propose a comprehensive framework to evaluate the performance of different branches of a retailer.Design/methodology/approachThrough a case study, the weights of indicators were calculated by the best-worst method (BWM) and the branches' performance was appraised using data envelopment analysis (DEA).FindingsThe branches were ranked in terms of performance, and sensitivity analysis and statistical tests were conducted to realize the weaknesses and strengths of the branches. Then, some strategies were proposed using strengths, weaknesses, opportunities and threats (SWOT) analysis to improve the performance of the weak branches.Originality/valueThis paper contributes to previous studies on the evaluation of retailers' performance by proposing a triple framework based on resilience, sustainability and sales-marketing indicators. This paper focused on branches' operations and branches' optimization by improving performance in terms of these three indicators. This paper also offers a qualitative and quantitative analysis of retailers' performance, which has received less attention in previous studies.

show abstract

“…Many studies have underlined the advantages of the ANN over other methods. Unlike other conventional algorithms, neural networks can learn the complex relationships between inputs and outputs and yield good results [ 31 , 32 ]. Many studies have been conducted in this field in recent years, some of which will be mentioned here.…”

Section: Methodsmentioning

confidence: 99%

Performance assessment and improvement of a care unit for COVID-19 patients with resilience engineering and motivational factors: An artificial neural network method

Mehdizadeh-Somarin

Salimi²,

Tavakkoli–Moghaddam³

et al. 2022

Computers in Biology and Medicine

Self Cite

View full text Add to dashboard Cite

An intelligent algorithm to evaluate and improve the performance of a home healthcare center considering trust indicators

Cited by 10 publications

References 33 publications

An integrated framework to evaluate and improve the performance of emergency departments during the COVID-19 pandemic: A mathematical programing approach

An integrated framework to evaluate and improve the performance of emergency departments during the COVID-19 pandemic: A mathematical programing approach

Evaluating and improving the performance of retailers' branches by considering resilience, sustainability and sales-marketing

Performance assessment and improvement of a care unit for COVID-19 patients with resilience engineering and motivational factors: An artificial neural network method

Contact Info

Product

Resources

About