Application of a Hybrid Method for Performance Evaluation of Teaching Hospitals in Tehran

Jahantigh, Farzad Firouzi; Ostovare, Maryam

doi:10.1097/qmh.0000000000000265

Cited by 21 publications

(12 citation statements)

References 27 publications

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“…Fuzzy neural network is the product of combining fuzzy theory with neural network, which brings together the advantages of neural network and fuzzy theory and integrates learning, association, recognition, and information processing [ 24 – 31 ]. The fuzzy neural network consists of five layers, which are input layer, fuzzification layer, fuzzy rule layer, fuzzy decision layer, and output layer, and its structure is shown in Figure 1 .…”

Section: Methodsmentioning

confidence: 99%

[Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model

Chen

2021

Computational Intelligence and Neuroscience

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College is the main place to carry out music teaching, and it is important to assess the music teaching ability in college effectively. Based on this, this paper firstly analyzes the necessity of music teaching ability assessment and briefly summarizes the application of neural network and deep learning technology in music teaching ability assessment and secondly designs an assessment model based on compensated fuzzy neural network algorithm and analyzes the accuracy of the model, finds out the causes of forming abnormal output by analysing the general dimensional conditions of the algorithm of the model, and proposes corresponding correction. Finally, the reliability and feasibility of the music teaching ability assessment model were experimentally verified by combining with teaching practice. The research results confirm the feasibility of the compensated fuzzy neural network algorithm in music teaching ability assessment, which has important reference significance for improving the quality of music teaching in colleges and universities.

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Section: Methodsmentioning

confidence: 99%

[Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model

Chen

2021

Computational Intelligence and Neuroscience

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“…75 of the 89 (84.27%) studies included the number bed (i.e., general, ICU, special) as input in their analysis [48–55,57–62,64–74,76,78–93,95–101,103–109,112–116,118,119,121–125,128–131,133–135]. Seven of these 75 studies (9.33%) utilized variation of multiple beds as their inputs either by type of bed, bed cost, or ratio of bed [61,66,71,78,98,101,129]. While 12 of these 75 (16.00%) studies combine both beds and capital assets as their capacity-related input [70,78,85,89,90,101,103,106,109,122,125,133].…”

Section: Resultsmentioning

confidence: 99%

“…The application of quality-related outputs was varied and were not prominent as the production-related output. Nine studies used quality-related output [61,73,84,87,93,95,98,128,133]. One study specifically applied only quality-related in their research, which match with the researcher objective [93].…”

Section: Resultsmentioning

confidence: 99%

“…Among the studies, 80 (89.89%) conducted extended analysis in their research [46–56,58–64,66–69,71–77,79–94,96–98,101–116,118–125,128–135]. The type of data applied were almost equally distributed among the studies 51 (57.30%) [47,49,52,58–60,67,70–73,75–77,79,80,83–85,88,91,92,94,96,97,100,101,103,105–109,111,112,114–116,120–122,124,125,127,129–135] used panel data and 38 (42.70%) [46,48,50,51,53–57,61–66,68,69,74,78,81,82,86,87,89,90,93,95,98,99,102,104,110,113,117–119,123,128] used cross sectional data in their research. Forty extended analyses were identified within the included studies.…”

Section: Resultsmentioning

confidence: 99%

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Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Zubir,

Noor,

Rizal

et al. 2023

Preprint

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Data Envelopment Analysis (DEA) has been employed as a performance evaluation tool in the evaluation of efficiency and productivity in numerous fields. This includes hospitals in particular as well as the broad healthcare industry. This review examines 89 papers that discuss the use of DEA in hospitals, paying particular attention to approaches for choosing inputs and outputs as well as the most recent developments in DEA studies. English articles with empirical data from year 2014-2022 (Web of Science, Scopus, PubMed, ScienceDirect, Springer Link, and Google Scholar) were extracted based on PRISMA methodology. DEA Model parameters were specified based on previous studies and approaches were identified narratively. The approaches can be grouped into four: (1) Literature review, (2) Data availability, (3) Systematic method and (4) Expert judgement. The approaches were applied as one strategy either by itself or in combination with others. This review's emphasis on approaches used in hospital may constrain its conclusions. There might be another strategy or method used to select the input and output for a DEA study in a different area or strategies based on different viewpoints. The trend for DEA application were quite similar to previous studies. There is no evidence that one model fits all DEA model parameters better than another. Based on the reviewed literature, we offer some recommendations and methodological principles for DEA studies.

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“…In the evaluation of teaching hospitals, different indicators may be involved in decision-making and performance evaluation [11]. Studies that apply e ciency measurement models in hospitals are very common, however, they appear to be rare when applied speci cally to teaching hospitals, which are institutions designed to offer internships, practical experience, and research opportunities for medical and nursing students, as well as for students in other areas related to medicine [12], dealing with additional management challenges such as budget constraints and low investments [11].…”

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confidence: 99%

Efficiency measurement on teaching hospitals: an integrative review

Almeida

Moreira

Bermejo

et al. 2023

Preprint

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Background The complexity of hospital management drives the improvement of scientific instruments available to measure their organizational efficiency. The incorporation of financial aspects as an agenda for the improvement of models for evaluating the efficiency of hospitals, and of the quality dimension have been indicated as gaps. Particularly, teaching hospitals are less profitable than other hospitals due to their teaching and research missions. Thus, this paper presents an integrative review of the literature about measuring the efficiency of teaching hospitals from 2011 to January 2023 to outline the main achievements, challenges, and recommendations in this research field. Methods We offer an integrative review across Scopus, ScienceDirect, Web of Science, Inderscience, and Springer Link databases. The search in databases generated 384 records, after removing duplicates, and following the PRISMA guidelines, 30 studies were considered eligible for this study. Results The studies included in this review revealed the scarcity of evaluation models tailored to the reality of teaching hospitals. Data Envelopment Analysis is the most frequently used evaluation method. There is a greater occurrence of inputs related to personnel and the most frequent outputs were those related to the number of visits and surgeries. We did not identify quality-oriented inputs, but we observed outputs (service level, and medical service satisfaction). The economic-financial inputs are related to expenses and costs, and the outputs are related to revenue, profit, and Resource Intensity Weight. Conclusions This study contributed to the improvement of the research field by pointing a direction for the advance of the measurement models. It is recommendable a combination of economic-financial indicators and quality measures. Regarding the financial dimension, the recommendation is to analyze the Return on Investment, and in the scope of the quality dimension, to verify the staff inputs from the point of view of the quality of the workforce. Also, there is a broken path for future research to consider input-oriented to physical and technological structure to measure the efficiency of teaching hospitals. We recommend developing a specific model to measure the efficiency of teaching hospitals to target the limitations appointed in this study.

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Application of a Hybrid Method for Performance Evaluation of Teaching Hospitals in Tehran

Cited by 21 publications

References 27 publications

[Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model

[Retracted] Compensated Fuzzy Neural Network‐Based Music Teaching Ability Assessment Model

Approach in Inputs & Outputs Selection of Data Envelopment Analysis (DEA) Efficiency Measurement in Hospital: A Systematic Review

Efficiency measurement on teaching hospitals: an integrative review

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