scholarly journals Waste Segregation FMEA Model Integrating Intuitionistic Fuzzy Set and the PAPRIKA Method

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1375 ◽  
Author(s):  
María Carmen Carnero

Segregation is an important step in health care waste management. If done incorrectly, the risk of preventable infections, toxic effects, and injuries to care and non-care staff, waste handlers, patients, visitors, and the community at large, is increased. It also increases the risk of environmental pollution and prevents recyclable waste from being recovered. Despite its importance, it is acknowledged that poor waste segregation occurs in most health care organizations. This study therefore intends to produce, for the first time, a classification of failure modes related to segregation in the Nuclear Medicine Department of a health care organization. This will be done using Failure Mode and Effects Analysis (FMEA), by combining an intuitionistic fuzzy hybrid weighted Euclidean distance operator, and the multicriteria method Potentially All Pairwise RanKings of all possible Alternatives (PAPRIKA). Subjective and objective weights of risk factors were considered simultaneously. The failure modes identified in the top three positions are: improper storage of waste (placing items in the wrong bins), improper labeling of containers, and bad waste management (inappropriate collection periods and bin set-up).

Author(s):  
María Carmen Carnero

The support services of health care organizations, such as maintenance, have not traditionally been considered important from the perspective of care quality. Nevertheless, the degree of excellence in maintenance significantly influences availability, maintenance costs and safety of facilities, medical equipment, patients and care staff. Thus, it would be of great importance for health care organizations to apply benchmarking to their maintenance processes, as do other processing companies, in order to determine the quality of maintenance provided, and compare it to other, similar, organizations. This would also allow all the continuous improvement processes to be controlled, and actions for radical improvement to be carried out by comparing performance with that of companies in other sectors. This chapter describes a multicriteria model integrating a fuzzy Analytic Hierarchy Process with utility theory to obtain a valuation for the Maintenance Service of a Health Care Organization over time.


2021 ◽  
pp. 135581962199747
Author(s):  
Lara Gerassi ◽  
Anna Pederson

Objective The United States’ Institute of Medicine recommends that health care providers be aware of sex trafficking (ST) indicators and conduct risk assessments to identify people at risk. However, the challenges among those who conduct such assessments remain largely understudied. The aim of this study was to understand the perceived barriers to ST risk assessment among health care providers in a large health care organization. Methods This study used a collective case study approach in five sites of a large health care organization that serves high-risk populations in a Midwestern state. Twenty-three in-depth, semi-structured interviews were conducted with health care staff (e.g. medical assistants, nurse practitioners). Two research team members conducted independent deductive coding (e.g. knowledge of ST), and inductive coding to analyse emerging themes (e.g. responses to ST risk or commercial sex disclosures, provider role ambiguity). Results Although staff routinely screened by asking ‘Have you ever traded sex for money or drugs?’, participants primarily described avoiding further discussions of ST with adult patients because they (1) aimed to be non-judgmental, (2) viewed following up as someone else’s job, and/or (3) lacked confidence to address ST concerns themselves, particularly when differentiating sex work from ST. Differences all emerged based on clinical context (e.g. urban location). Conclusions There may be missed opportunities to assess patients for ST risk and use harm-reduction strategies or safety plan to address patients’ needs. Implications for practice, policy, and future research are discussed.


2019 ◽  
Vol 292 ◽  
pp. 01046
Author(s):  
Eva Hoke ◽  
Romana Heinzová ◽  
Jiří Konečný

The contribution focuses on the current economic situation, especially on low unemployment, which has an impact on the labor market situation in the Czech Republic. Generally, low unemployment is a positive phenomenon in the economy, but what if unemployment is so low that organizations and businesses cannot find high-quality employees? Today, it is already proven that effective using of human capital within economic operators significantly improves their economic performance and, as far as public sector organizations are concerned, it improves public services. Well educated and motivated employees who are not overloaded can become the "brand" of individual healthcare facilities and a human factor as the source of the wealth and prosperity of state and non-state healthcare facilities. Our attention is therefore focused on selected health care organization, where there has been an acute shortage of medical and non-medical staff. The paper deals with the analysis of low unemployment, which is called the personal capacities crisis, its causes and its consequences as well. How to solve this critical shortage of health care staff? So far, the quality of Czech health care has been very high, but if this situation is maintained, the quality of patient care can be fundamentally endangered. The conclusion of the paper contains suggestions and recommendations on how to make this area more effective.


1993 ◽  
Vol 32 (04) ◽  
pp. 265-268 ◽  
Author(s):  
D. J. Essin

AbstractLoosely structured documents can capture more relevant information about medical events than is possible using today’s popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.


2018 ◽  
Vol 5 (2) ◽  
pp. 119-127
Author(s):  
Monika Raulinajtys-Grzybek ◽  
Renata Wachowicz ◽  
Arnold Maciejewski

Sign in / Sign up

Export Citation Format

Share Document