A hybrid multi-criteria decision making model for elective admission control in a Chinese public hospital

Zhu, Ting; Luo, Li; Liao, Huchang; Zhang, Xinli; Shen, Wenwu

doi:10.1016/j.knosys.2019.02.020

Cited by 30 publications

(14 citation statements)

References 36 publications

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“…The research results were tested for a case study. Zhu et al [40] proposed a multi-criteria decision model for elective admission control in Chinese hospitals. They used a combination of DEMA-TEL and fuzzy VIKOR.…”

Section: Introductionmentioning

confidence: 99%

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Shirazi

Kia

Ghasemi

2020

International Journal of Healthcare Management

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Since December 2019, a new virus, called the Corona Virus Disease-2019 (COVID-19), triggers pneumonia outbreak from Wuhan across China, which now poses major health threats to public health. According to the World Health Organization, the death rate of this virus has been 3.4%. Hospitals are the most important element of the health care system during an outbreak like COVID 19. The main goal of hospitals is to provide high quality care to patients and meet their needs and expectations during an outbreak like COVID 19. The hospital must provide high quality services to meet patients' needs. Expectations are therefore one of the most important determinants of patients' or their families' evaluation of service quality, and accurate understanding of customer expectations is the most important step in defining and delivering high quality services. In this study, using the FAHP-PROMETHEE hybrid approach, we will rate hospitals in Sari city of Iran in terms of patient satisfaction during the outbreak of COVID 19. Therefore, first, patient satisfaction factors are identified under normal conditions and then patient satisfaction factors are identified during the outbreak of COVID 19 and hospitals are ranked under normal conditions and during the outbreak of COVID 19 using FAHP-PROMETHEE approach.

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Section: Introductionmentioning

confidence: 99%

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Shirazi

Kia

Ghasemi

2020

International Journal of Healthcare Management

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“…We appraised the methodological quality of the 48 articles using MMAT, which allowed for quality appraisal based on the design of the studies assessed. One was a mixed methods study [ 50 ], four were qualitative studies [ 36 , 43 , 48 , 60 ], five were quantitative descriptive studies [ 35 , 37 , 49 , 52 , 66 ], none were randomized controlled trials, and the remaining 38 were quantitative non-randomized studies. From these quantitative studies, most were cross sectional, prospective, or retrospective design studies.…”

Section: Resultsmentioning

confidence: 99%

A systematic review of patient prioritization tools in non-emergency healthcare services

et al. 2020

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Background Patient prioritization is a strategy used to manage access to healthcare services. Patient prioritization tools (PPT) contribute to supporting the prioritization decision process, and to its transparency and fairness. Patient prioritization tools can take various forms and are highly dependent on the particular context of application. Consequently, the sets of criteria change from one context to another, especially when used in non-emergency settings. This paper systematically synthesizes and analyzes the published evidence concerning the development and challenges related to the validation and implementation of PPTs in non-emergency settings. Methods We conducted a systematic mixed studies review. We searched evidence in five databases to select articles based on eligibility criteria, and information of included articles was extracted using an extraction grid. The methodological quality of the studies was assessed by using the Mixed Methods Appraisal Tool. The article selection process, data extraction, and quality appraisal were performed by at least two reviewers independently. Results We included 48 studies listing 34 different patient prioritization tools. Most of them are designed for managing access to elective surgeries in hospital settings. Two-thirds of the tools were investigated based on reliability or validity. Inconclusive results were found regarding the impact of PPTs on patient waiting times. Advantages associated with PPT use were found mostly in relationship to acceptability of the tools by clinicians and increased transparency and equity for patients. Conclusions This review describes the development and validation processes of PPTs used in non-urgent healthcare settings. Despite the large number of PPTs studied, implementation into clinical practice seems to be an open challenge. Based on the findings of this review, recommendations are proposed to develop, validate, and implement such tools in clinical settings. Systematic review registration PROSPERO CRD42018107205

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“…In real-life situations, due to the imprecise nature of medical documents and uncertain information gathered for decision-making demands the use of fuzzy. After the advancement of fuzzy set theory, numerous extensions have been seen and successfully applied in healthcare department (Ali et al, 2018;Mardani et al, 2019;Wu et al, 2018a, b;Zhu et al, 2019).…”

Section: Topsis Model For Pivhfssmentioning

confidence: 99%

On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals

Ali

Bashir

Rashid

2021

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PurposeThe purpose of the development of the paper is to construct probabilistic interval-valued hesitant fuzzy Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) model and to improve some preliminary aggregation operators such as probabilistic interval-valued hesitant fuzzy averaging (PIVHFA) operator, probabilistic interval-valued hesitant fuzzy geometric (PIVHFG) operator, probabilistic interval-valued hesitant fuzzy weighted averaging (PIVHFWA) operator, probabilistic interval-valued hesitant fuzzy ordered weighted averaging (PIVHFOWA) operator, probabilistic interval-valued hesitant fuzzy weighted geometric (PIVHFWG) operator and probabilistic interval-valued hesitant fuzzy ordered weighted geometric (PIVHFOWG) operator to cope with multicriteria group decision-making (MCGDM) problems in an efficient manner.Design/methodology/approach(1) To design probabilistic interval-valued hesitant fuzzy TOPSIS model. (2) To improve some of the existing aggregation operators. (3) To propose the Hamming distance, Euclidean distance, Hausdorff distance and generalized distance between probabilistic interval-valued hesitant fuzzy sets (PIVHFSs).FindingsThe results of the proposed model are discussed in comparison with the aggregation-based method from the related literature and found the effectiveness of the proposed model and improved aggregation operators.Practical implicationsA case study concerning the healthcare facilities in public hospital is addressed.Originality/valueThe notion of the proposed distance measure is used as rational tool to extend TOPSIS model for probabilistic interval-valued hesitant fuzzy setting.

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A hybrid multi-criteria decision making model for elective admission control in a Chinese public hospital

Cited by 30 publications

References 36 publications

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

Ranking of hospitals in the case of COVID-19 outbreak: A new integrated approach using patient satisfaction criteria

A systematic review of patient prioritization tools in non-emergency healthcare services

On distance measure and TOPSIS model for probabilistic interval-valued hesitant fuzzy sets: application to healthcare facilities in public hospitals

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