scholarly journals A Causal Model to Design more Effective Policies and Practices in Error Management in the Healthcare Industry

2021 ◽  
Keyword(s):  
Safety Culture ◽  
Medical Error ◽  
Evaluation Method ◽  
Information Access ◽  
Fuzzy Decision Making ◽  
Error Management ◽  
Causal Relationships ◽  
Factors Affecting ◽  
Culture And Climate ◽  
Policies And Practices

Background: Identification of the factors contributing to the errors of medical staff and examining the causal relationships among those factors can help better manage and design more effective policies and practices. Objectives: This study aimed to identify the causes and factors affecting medical error management and determine a model for better management of such errors. Methods: This descriptive-analytical study was conducted in two qualitative and quantitative phases. In the quantitative part of the study, the factors related to medical error management were identified and validated through reviewing previous studies and interviewing some specialists. Following that, the fuzzy decision-making trial and evaluation method was used for structural modeling of the factors and investigating the causal relationships among them in the quantitative part. Results: In this study, the results showed that the "education and learning from error" subfactor had the most significant impact on the system. The second highly effective subfactors in the management of medical errors were "organizational communication and improved information access", "safety culture and climate", and "policies, procedures, and guidelines". In addition, the "safety culture and climate" was the most important factor that had the most critical impact on the system. Moreover, the "handoff conversations and communication" subfactor was mostly influenced by the other factors, followed by the "incident reporting system", "error prevention and corrective measures", "safety culture and climate", and "individuals' participation". Conclusions: According to the results of this study, the health care industry should take into consideration both organizational and individual factors in error management. In order to achieve better planning and higher performance in error management, increase patient safety, and ultimately improve the quality of hospital services, it is suggested to consider the causes and factors affecting the system.

The Application of Fuzzy Synthesis Evaluation Method on Assessing Bridge Durability

2012 ◽  
Vol 594-597 ◽  
pp. 1033-1037
Author(s):  
Fei Zheng ◽  
Yu Wang ◽  
Pu Yang Zhang
Keyword(s):  
Evaluation Method ◽  
Concrete Bridges ◽  
Service Performance ◽  
Fuzzy Mathematics ◽  
Factors Affecting ◽  
Index Model ◽  
Design Requirements ◽  
The Difference ◽  
Fuzzy Synthesis Evaluation ◽  
Durability Of Concrete

Assessment of the structure durability of concrete bridge in service is crucial for determining whether their service performance is meeting the design requirements or not. In this paper we classify the whole structure of bridge into two levels, i.e.bridge structure and bridge components. A two-level-multi-index model for evaluating the durability of concrete bridges in service is established based on the dependent functions of various factors, in which the dependent functions are chosen in accordance with the difference of various factors affecting the deterioration of durability of components. In this model, the durability of the bridge is divided into five different fuzzy levels: intact, disrepaired, damaged, severely damaged, and dangerous. Finally, based on fuzzy mathematics theory, the durability level of a bridge in practice is evaluated by using the maximum subordination principle.

A quantitative framework for lean and green assessment of supply chain performance

2018 ◽  
Vol 67 (2) ◽  
pp. 366-400 ◽  
Author(s):  
Shashank Thanki ◽  
Jitesh Thakkar
Keyword(s):  
Supply Chain ◽  
Performance Measures ◽  
Value Chain ◽  
Evaluation Framework ◽  
Fuzzy Decision Making ◽  
Causal Relationships ◽  
Assessment Framework ◽  
Content Type ◽  
Green Performance ◽  
Lean And Green

Purpose The purpose of this paper is to propose a balanced scorecard (BSC)- and strategy map-based quantitative framework for assessing the lean and green performance of the supply chain (SC). As the SC competitiveness demands efficient and effective utilization of resources throughout the value chain, not only adoption of lean and green SC paradigms but simultaneously its performance evaluation is also vital. Design/methodology/approach The lean and green SC performance measures are classified into four categories of BSC. A fuzzy decision-making trial and evaluation laboratory (DEMATEL) methodology combined with analytical network process is proposed for examining the causal relationships between BSC perspectives and respective assessment criteria. The application of the proposed assessment framework is demonstrated for the case of Indian textile SC. Findings The research delivers a quantitative assessment framework for evaluating lean and green performance of the SC. The results obtained for a typical case of Indian textile SC revealed that “delivery performance,” “profitability” and “operational cost” are the most crucial performance measures. The perspective of “internal processes” is the most significant of all BSC perspectives while “learning and growth” perspective acts as the driving force to improve lean and green SC performance. Originality/value The paper makes two contributions in the domain of lean and green assessment of SC performance. First, it proposes an evaluation framework to investigate into the causal relationships among the BSC perspectives and related factors. Second, it undertakes an empirical investigation for Indian textile SC to develop key managerial insights and provide policy-related recommendations.

Safety is a key value

2021 ◽  
pp. 40-46
Keyword(s):  
Safety Culture ◽  
Safety Management ◽  
Health And Safety ◽  
Work Culture ◽  
Labor Protection ◽  
Research Project ◽  
Factors Affecting ◽  
Cis Countries

Businesses are continuously researching issues and looking for new opportunities for improvements in health and safety management, as well as factors affecting the development of a safety culture and work culture in general. We present interviews with heads and specialists in labor protection of leading Russian companies, conducted within the framework of the research project "Safety Culture in the CIS Countries" by DuPont.

Patient Safety and Medical Errors

2017 ◽  
pp. 61-90
Author(s):  
Vasiliki Kapaki ◽  
Kyriakos Souliotis
Keyword(s):  
Health Care ◽  
Patient Safety ◽  
Healthcare System ◽  
Safety Culture ◽  
Medical Errors ◽  
Care Staff ◽  
Health Care Staff ◽  
Culture And Climate

Patient Safety is considered to be the most important parameter of quality that every contemporary healthcare system should be aiming at. The terms “Patient Safety” and “Medical Errors” are directly linked to the “Safety Culture and Climate” in every organization. It is widely accepted that medical errors constitute an index of insufficient safety and are defined as any unintentional event that diminishes or could diminish the level of patient safety. This chapter indicates that a beneficial safety culture is essential to enhance and assure patient safety. Furthermore, health care staff with a positive safety culture is more probable to learn openly and successfully from errors and injuries.

Using DEMATEL-Based ANP Model to Measure the Successful Factors of E-Commerce

2018 ◽  
pp. 1122-1138
Author(s):  
Chia-Huei Wu ◽  
Sang-Bing Tsai
Keyword(s):  
Hybrid Method ◽  
Online Shopping ◽  
Influential Factors ◽  
Important Criterion ◽  
Direct Impact ◽  
Causal Relationships ◽  
Factors Affecting ◽  
Causal Graph ◽  
Online Sales ◽  
Perceived Price

Factors affecting online businesses are complicated and intertwined. To stimulate online sales, understanding of key influential factors and causal relationships among the factors is important. This paper introduces a hybrid method, called the DANP method, to expose the driving factors that most influence the online businesses. A hierarchy of fourteen criteria in six dimensions is formed to denote the influence levels and weights of factors. The causal graph shows that “Uncertainty” dimension has the highest degree of direct impact on other dimensions; thus, strong efforts should be made to eliminate the influence of this dimension throughout the online shopping process. In addition, the results also show “perceived price” to be the greatest important criterion among all; thus, it should be treated with top priority to boost the online businesses.

Evaluation of factors affecting the decision to adopt blockchain technology: A logistics company case study using Fuzzy DEMATEL

2020 ◽  
Vol 39 (5) ◽  
pp. 6279-6291
Author(s):  
Ayça Maden ◽  
Emre Alptekin
Keyword(s):  
Financial Services ◽  
Technology Implementation ◽  
Fuzzy Decision Making ◽  
Critical Factors ◽  
Fuzzy Dematel ◽  
Real Time Processing ◽  
Factors Affecting ◽  
Blockchain Technology ◽  
Logistics Company ◽  
Reducing Costs

Blockchain practices have been attracting attention in industries other than financial services, since blockchain is not only an information technology, but also an institutional technology owing to its new currency economics and distributed structures. Today, supply chains, power, and food/agriculture have emerged as promising areas in terms of their potential to incorporate blockchain technology for improving processes and reducing costs. Logistics corporations, especially, have been concentrating on developing efficiency in integrated data, fleet management, and communication issues, to achieve cost advantages. Experts from a well-known logistics company in Turkey contributed to our study by helping to assess critical factors for successful blockchain technology implementation. Our research topic included determining whether blockchain technology is suitable for this company. Fuzzy decision-making trial and evaluation laboratory (DEMATEL) was used to determine and evaluate the critical factors to encourage blockchain technology adoption, based on the company’s requirements. For the company experts, the factors affecting the decision to adopt blockchain technology were, in order of priority: cryptocurrency, instant money transfer, privacy, real time processing, smart contract, security, authentication, transparency, immutability, traceability, distributed ledger, reduced delays, and peer-to-peer networks.

scholarly journals Energy efficiency evaluation method for submersible pushingflow agitator for sewage treatment

2018 ◽  
Vol 53 ◽  
pp. 04012
Author(s):  
Zhang Xiaoxin ◽  
Huang Jin ◽  
Lin Ling ◽  
Wang Yueping ◽  
Zhang Xinheng
Keyword(s):  
Energy Efficiency ◽  
Evaluation Method ◽  
Sewage Treatment ◽  
Efficiency Evaluation ◽  
Calculation Formula ◽  
Factors Affecting ◽  
Research Advance ◽  
Energy Efficiency Evaluation ◽  
At Home

This paper introduced the development and research advance of the submersible pushing-flow agitator for sewage treatment at home and abroad. By analyzing four factors affecting the energy efficiency of the submersible pushing-flow agitator, the energy efficiency evaluation method and calculation formula of the submersible pushing-flow agitator for sewage treatment in China are analyzed and discussed in this paper.

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