scholarly journals Application of the QFD-fuzzy-SERVQUAL methodology as a quality planning tool at the surgical centre of a public teaching hospital

2022 ◽  
Vol 22 (1) ◽  
Author(s):  
Jurandir Barreto Galdino Junior ◽  
Hélio Roberto Hékis ◽  
José Alfredo Ferreira Costa ◽  
Íon Garcia Mascarenhas de Andrade ◽  
Eric Lucas dos Santos Cabral ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Teaching Hospital ◽  
Asset Management ◽  
Hybrid Approach ◽  
Decision Support Tool ◽  
Public Hospitals ◽  
Support Tool ◽  
Quality Planning ◽  
Scarcity Of Resources ◽  
Social Importance

Abstract Background In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most relevant pillars for the proper hospital functioning, due to its complexity, criticality as well as economic and social importance. Proper asset management based on well-founded decisions is, therefore, a sine-qua-non condition for addressing such demands. However, subjectivity and other difficulties present in decisions make the management of hospital resources a constant challenge. Methods Thus, the present work proposes the application of a hybrid approach, formed by the QFD tools, fuzzy logic and SERVQUAL as a decision support tool for the quality planning of the surgical centre of the Onofre Lopes Teaching Hospital (Hospital Universitário Onofre Lopes—HUOL). To accomplish such objective, it was necessary to discover and analyse the main needs of the medical team working in the operating room, through the application of the SERVQUAL questionnaire, associated with fuzzy logic. Results Then, the most relevant deficiencies were transformed into entries for the QFD-fuzzy, where they were translated into project requirements. Soon after, the analysis of the existing relationships between the inputs and these requirements was carried out, generating the ranking of actions with the greatest impact on the improvement of the surgical centre overall quality. Conclusions As a result, it was found that the proposed methodology can optimize the decision process to which hospital managers are submitted, improving the surgical centre operation efficiency.

Application of The QFD-fuzzy-SERVQUAL Methodology as a Quality Planning Tool at the Surgical Centre of a Public Teaching Hospital

2021 ◽  
Author(s):  
Jurandir Barreto Galdino Junior ◽  
Hélio Roberto Hékis ◽  
José Alfredo Ferreira Costa ◽  
Íon Garcia Mascarenhas de Andrade ◽  
Eric Lucas dos Santos Cabral ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Teaching Hospital ◽  
Asset Management ◽  
Hybrid Approach ◽  
Decision Support Tool ◽  
Public Hospitals ◽  
Support Tool ◽  
Quality Planning ◽  
Scarcity Of Resources ◽  
Social Importance

Abstract Background: In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it is considered one of the most relevant pillars for the proper hospital functioning, due to its complexity, criticality as well as economic and social importance. Proper asset management based on well-founded decisions is, therefore, a sine-qua-non condition for addressing such demands. However, subjectivity and other difficulties present in decisions make the management of hospital resources a constant challenge.Methods: Thus, the present work proposes the application of a hybrid approach, formed by the QFD tools, fuzzy logic and SERVQUAL as a decision support tool for the quality planning of the surgical centre of the Onofre Lopes Teaching Hospital (Hospital Universitário Onofre Lopes - HUOL). To accomplish such objective, it was necessary to discover and analyse the main needs of the medical team working in the operating room, through the application of the SERVQUAL questionnaire, associated with fuzzy logic. Results: Then, the most relevant deficiencies were transformed into entries for the QFD-fuzzy, where they were translated into project requirements. Soon after, the analysis of the existing relationships between the inputs and these requirements was carried out, generating the ranking of actions with the greatest impact on the improvement of the surgical centre overall quality. Conclusions: As a result, it was found that the proposed methodology can optimize the decision process to which hospital managers are submitted, improving the surgical centre operation efficiency.

A Decision Support Tool for Wastewater Catchment Management

2007 ◽  
Vol 2 (2) ◽  
Author(s):  
S.E. Walters ◽  
D. Savic ◽  
R.J. Hocking
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Capital Investment ◽  
Management Strategies ◽  
Sewage Treatment ◽  
Decision Support Tool ◽  
Catchment Management ◽  
Clean Water ◽  
Support Tool ◽  
South West

The water industry over the years has primarily focussed on upgrading and investing in clean water provision. However, as research into the science and management of clean water services has progressed rapidly, wastewater provision and services has been slower. Focus, though, is now shifting within Industry and Research into wastewater services. The water regulator, Ofwat, for England and Wales demands the Sewerage Undertakers demonstrate efficient management of wastewater systems in order to obtain funding for Capital Investment projects. South West Water, a Water Service Provider and Sewerage Undertaker located in the South West of England, identified a need gap in their asset management strategies for wastewater catchments. This paper will introduce the production of a Decision Support Tool, DST, to help SWW proactively manage their Wastewater Catchments, examining Sewage Treatment Works, Pumping Stations and Networks. The paper will discuss some concepts within the DST, its production, testing and a brief case study. The DST provides a framework for prioritising catchments to optimise investment choices and actions. The Tool ranks catchments utilising Compromise Programming, CP, as well as AHP Pair-wise comparisons for preference weights. The DST incorporates Asset models, a Whole life Costing Module, as well as a Decay and Intervention Module.

scholarly journals Influence of hospital policy on partograph use in tertiary care facilities in India: a cross sectional survey

2017 ◽  
Vol 6 (11) ◽  
pp. 4890
Author(s):  
Shalini Singh ◽  
Vishwajeet Singh ◽  
Tushita Thakur ◽  
A. G. Radhika ◽  
Pratima Mittal ◽  
...  
Keyword(s):  
Tertiary Care ◽  
Decision Support Tool ◽  
Public Hospitals ◽  
Teaching Hospitals ◽  
Cross Sectional Survey ◽  
Chi Square ◽  
Hospital Policy ◽  
Cross Sectional ◽  
Support Tool ◽  
Exact Test

Background: Partograph is an effective, but underutilized tool for monitoring labour. This study examined the influence of hospital policy on the knowledge, attitude, practice and skills of doctors towards partograph plotting.Methods: A cross-sectional survey among doctors posted in labour rooms of tertiary care public teaching hospitals of India was carried out, using self-administered questionnaire to assess knowledge, attitude and practice; and labour case scenarios were provided to assess partograph plotting skills. Chi-square test or Fisher’s exact test were employed to test the significance of association between knowledge, attitude, practice and skills of 150 doctors working in hospitals with (n=3) and without (n=2) policy of routine partograph plotting.Results: The majority of doctors in both groups had correct knowledge about different partograph components. However, doctors working in hospitals with a policy of partograph use, demonstrated significantly better skills using case scenarios for plotting partographs (p<0.01), and a positive attitude towards plotting partograph and its use as a decision support tool (p=0.000) as compared to doctors working in hospitals without a routine partograph plotting policy.Conclusions: Hospital policy of routine partograph plotting may positively influence utilization of partograph in tertiary care public hospitals in India.

A Fuzzy Logic Modeling of Measures Addressing Shipping CO2 Emissions

2017 ◽  
Vol 26 (3) ◽  
pp. 439-455 ◽  
Author(s):  
Evaggelia Lema ◽  
Anastasios Karaganis ◽  
Elpiniki Papageorgiou
Keyword(s):  
Fuzzy Logic ◽  
Domain Knowledge ◽  
Fuzzy Inference ◽  
Expert Knowledge ◽  
Decision Support Tool ◽  
Expert Group ◽  
Inference System ◽  
Support Tool ◽  
Logic Modeling ◽  
Logic System

AbstractThis study presents a decision support tool that uses a fuzzy logic model of expert knowledge to assist in the decision-making process in the context of mitigating shipping CO2 emissions. The issue of selecting a market-based shipping CO2 emission mechanism, as they were presented by the International Maritime Organization (IMO), has generated much discussion over the last decade due to the complexity of the industry. We built a fuzzy logic system using the input and output variables as well as their range values that have been set from the IMO Expert Group study. We developed 27 fuzzy rules based on the literature and our domain knowledge, and we ran the fuzzy inference system for four of the proposed market-based measures. Finally, we evaluated our results and compared them with the IMO Expert Group study. Although not all measures responded the same, especially regarding the emission reductions, the percentage agreement is satisfactory in most of the cases (60–95%). The strength of the tool is that it synthesizes a large amount of information in a logical and transparent framework, and has the potential to have wider application in the context of market-based measures.

scholarly journals EVALUATION OF HOUSING CONSTRUCTION STRATEGIES IN CHINA USING FUZZY‐LOGIC SYSTEM

2005 ◽  
Vol 9 (4) ◽  
pp. 215-232 ◽  
Author(s):  
Yeng-Horng Perng ◽  
Sung-Lin Hsueh ◽  
Min-Ren Yan
Keyword(s):  
Fuzzy Logic ◽  
Housing Market ◽  
Model Building ◽  
Expert Knowledge ◽  
Logic Gate ◽  
Decision Support Tool ◽  
Sales Performance ◽  
Foreign Investors ◽  
Support Tool ◽  
Chinese Housing Market

There is a large demand for and a large profit potential in the Chinese housing market. However, foreign investors still suffer high risk because they are unfamiliar with the complexities of this enormous market. This paper presents the issues associated with housing sales in the People's Republic of China and the applications of Fuzzy Logic and Delphi Method to the prediction of sales performance in China's housing. Furthermore, the study presents the concept of an AND/OR logic gate based model, so that expert knowledge can be converted through computation into the needed rules for decision making related to housing sales performance prediction. The logic gate model is useful for ‘if‐then’ rule analysis, monitoring during the model building and amendment process, and in model maintenance in the later stages of its application. The aim of the described model is to provide a computer‐based decision support tool for foreign investors and contractors in evaluating beforehand the business feasibility of entering the Chinese housing market.

Sign in / Sign up

Export Citation Format

Share Document