scholarly journals A Systematic Literature Review of Quality Management Initiatives in Dental Clinics

2021 ◽  
Vol 18 (21) ◽  
pp. 11084
Author(s):  
Emil Lucian Crisan ◽  
Bogdan Florin Covaliu ◽  
Diana Maria Chis
Keyword(s):  
Patient Satisfaction ◽  
Quality Management ◽  
Literature Review ◽  
Healthcare Quality ◽  
Research Area ◽  
Business Outcomes ◽  
Dental Clinics ◽  
Outcome Framework ◽  
Distinct Field ◽  
Intervention Mechanism

By considering the recently proposed definitions and metrics, oral healthcare quality management (OHQM) emerges as a distinct field in the wider healthcare area. The goal of this paper is to systematically review quality management initiatives (QMIs) implementation by dental clinics. The research methodology approach is a review of 72 sources that have been analyzed using the Context–Intervention–Mechanism–Outcome Framework (CIMO). The analysis identifies five mechanisms that explain how quality management initiatives are implemented by dental clinics. The simplest QMIs implementations are related to (1) overall quality. The next ones, in terms of complexity, are related to (2) patient satisfaction, (3) service quality, (4) internal processes improvement, and (5) business outcomes. This paper is the first attempt to provide a critical review of this topic and represents an important advancement by providing a theoretical framework that explains how quality management is implemented by practitioners in this field. The results can be used by scholars for advancing their studies related to this emerging research area and by healthcare managers in order to better implement their quality management initiatives.

A Systematic Literature Review of the EFQM Excellence Model from 1991 to 2019

1970 ◽  
Vol 2 (2) ◽  
pp. 11-15
Author(s):  
Muhammad Yousaf ◽  
Petr Bris
Keyword(s):  
Quality Management ◽  
Data Collection ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Quantitative Research ◽  
Web Of Science ◽  
State Of The Art ◽  
Future Research ◽  
European Foundation ◽  
The Subject

A systematic literature review (SLR) from 1991 to 2019 is carried out about EFQM (European Foundation for Quality Management) excellence model in this paper. The aim of the paper is to present state of the art in quantitative research on the EFQM excellence model that will guide future research lines in this field. The articles were searched with the help of six strings and these six strings were executed in three popular databases i.e. Scopus, Web of Science, and Science Direct. Around 584 peer-reviewed articles examined, which are directly linked with the subject of quantitative research on the EFQM excellence model. About 108 papers were chosen finally, then the purpose, data collection, conclusion, contributions, and type of quantitative of the selected papers are discussed and analyzed briefly in this study. Thus, this study identifies the focus areas of the researchers and knowledge gaps in empirical quantitative literature on the EFQM excellence model. This article also presents the lines of future research.

HASTANELERİN HİZMET KALİTESİNİN HASTA TATMİN ÖLÇEĞİ İLE ÖLÇÜLMESİ: KARABÜK DEVLET HASTANESİNDE YATAN HASTALAR ÜZERİNDE BİR ARAŞTIRMA THE MEASUREMENT SERVICE QUALITY OF THE HOSPITALS BY THE PATIENT SCALE: A RESEARCH ON THE PATIENTS IN KARABUK STATE HOSP

2013 ◽  
Vol 1 (1) ◽  
pp. 100
Author(s):  
Selçuk Yurtsever
Keyword(s):  
Patient Satisfaction ◽  
Health Services ◽  
Literature Review ◽  
Private Sector ◽  
State Hospital ◽  
Continuous Change ◽  
Satisfaction Scale ◽  
The World ◽  
Main Factors

It has been known that both in the world and in Turkey a continuous change has been experienced in the provision of health services in recent years. In this sense by adopting the customer(client) focused approach of either public or private sector hospitals; it has been seen that they are in the struggle for presenting a right, fast, trustuble, comfy service. The purpose of this research is to measure the satisfaction degree, expectations and perceptions of the patients in Karabük State Hospital through comparison. In this context, the patient satisfaction scale which has been developed as a result of literature review has been used and by this scale it has been tried to measure the satisfaction levels of the patients in terms of material and human factors which are the two main factors of the service that was presented. In the study, with the scales of Servqual and 0-100 Points together, in the part of the analysis MANOVA have been used. The expectations and the perceptions of the patient has been compared first by generally and then by separating to different groups according to the various criterias and in thisway it has been tried to be measured their satisfaction levels. According to the results that were obtained, although, the satisfaction levels of the patients who have taken service from Karabük State Hospital are high in terms of thedoctors and the nurses; it has been reached to the result that their satisfaction levels are low in terms of the materials that have been used at the presenting of the service and the management.

Servant Leadership: A systematic literature review—toward a model of antecedents and outcomes

2019 ◽  
Vol 34 (1) ◽  
pp. 32-68 ◽  
Author(s):  
Jan G Langhof ◽  
Stefan Güldenberg
Keyword(s):  
Literature Review ◽  
Servant Leadership ◽  
Systematic Literature Review ◽  
Research Area ◽  
Leadership Model ◽  
Management Literature ◽  
Insight Into

The purpose of this article is multi-layered. First, we focus on gaining a comprehensive insight into a research area which just recently received more recognition in management literature: servant leadership. Second, we identify antecedent and outcomes of servant leadership within the existing research body. Third, we synthesize and develop a comprehensive servant leadership model. It assists academics and practitioners in keeping pace with the increasing servant leadership literature. The systematic literature review provides explanations as to why managers practice servant leadership. The study also contributes to a better understanding of the outcomes of servant leadership and brings clarity to a discombobulated group of studies.

scholarly journals Federated Learning in a Medical Context: A Systematic Literature Review

2021 ◽  
Vol 21 (2) ◽  
pp. 1-31
Author(s):  
Bjarne Pfitzner ◽  
Nico Steckhan ◽  
Bert Arnrich
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Privacy ◽  
Research Area ◽  
Learning Models ◽  
Related Data ◽  
Private Data ◽  
Large Databases ◽  
Machine Learning Models

Data privacy is a very important issue. Especially in fields like medicine, it is paramount to abide by the existing privacy regulations to preserve patients’ anonymity. However, data is required for research and training machine learning models that could help gain insight into complex correlations or personalised treatments that may otherwise stay undiscovered. Those models generally scale with the amount of data available, but the current situation often prohibits building large databases across sites. So it would be beneficial to be able to combine similar or related data from different sites all over the world while still preserving data privacy. Federated learning has been proposed as a solution for this, because it relies on the sharing of machine learning models, instead of the raw data itself. That means private data never leaves the site or device it was collected on. Federated learning is an emerging research area, and many domains have been identified for the application of those methods. This systematic literature review provides an extensive look at the concept of and research into federated learning and its applicability for confidential healthcare datasets.

Standardization of Diagnostic Immunohistochemistry: Literature Review and Geisinger Experience

2014 ◽  
Vol 138 (12) ◽  
pp. 1564-1577 ◽  
Author(s):  
Fan Lin ◽  
Zongming Chen
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Best Practices ◽  
Critical Points ◽  
Medical Center ◽  
Management Program ◽  
Review Article ◽  
Data Sources ◽  
Test Results ◽  
Antibody Validation

Context Immunohistochemistry has become an indispensable ancillary technique in anatomic pathology laboratories. Standardization of every step in preanalytic, analytic, and postanalytic phases is crucial to achieve reproducible and reliable immunohistochemistry test results. Objective To standardize immunohistochemistry tests from preanalytic, analytic, to postanalytic phases. Data Sources Literature review and Geisinger (Geisinger Medical Center, Danville, Pennsylvania) experience. Conclusions This review article delineates some critical points in preanalytic, analytic, and postanalytic phases; reiterates some important questions, which may or may not have a consensus at this time; and updates the newly proposed guidelines on antibody validation from the College of American Pathologists Pathology and Laboratory Quality Center. Additionally, the article intends to share Geisinger's experience with (1) testing/optimizing a new antibody and troubleshooting; (2) interpreting and reporting immunohistochemistry assay results; (3) improving and implementing a total immunohistochemistry quality management program; and (4) developing best practices in immunohistochemistry.

Learning from criticisms of quality management

2015 ◽  
Vol 7 (2/3) ◽  
pp. 201-216 ◽  
Author(s):  
Gilles Barouch ◽  
Stéphane Kleinhans
Keyword(s):  
Quality Management ◽  
Literature Review ◽  
Design Methodology ◽  
State Of The Art ◽  
Senior Managers ◽  
Content Type ◽  
Adequate Response ◽  
Academic Results

Purpose – This paper aims at summing up the main criticisms concerning quality management (QM) in order to address them through objective arguments or extant research. Since its diffusion in the Occident in the 70s, QM gained as much approvals as criticisms. Therefore, with 40 years distance, it seems useful to sum up the main criticisms addressed to QM, to present a synthesis of the answers provided by researchers to these criticisms and to propose extant research when it appears that some criticisms have not received yet the adequate response. Design/methodology/approach – This paper is based on a literature review. Findings – This paper comes up with a list of the main criticisms addressed to QM. Then, main causes of criticisms are identified: ignorance of QM, confusion concerning QM definitions and theory and misuse of QM by senior managers. At last, QM organizational solutions are proposed which answer most expressed criticisms. Extant research tracks are considered for those relevant criticisms which have not been sufficiently addressed until now. Research limitations/implications – Further research will look into depicting a survey conducted among QM professionals concerning QM criticisms in their organization and confronting them to these academic results. Originality/value – This paper actualizes and completes Giroux and Landry’s (1998) article which dealt extensively with QM criticisms. Professionals will find in this paper answers to most criticisms against QM and a better understanding of the present limits of this discipline. Researchers will be provided with a state of the art concerning this sensitive topic, allowing them to go deeper in the fields that require special attention.

Big data quality framework: a holistic approach to continuous quality management

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Ikbal Taleb ◽  
Mohamed Adel Serhani ◽  
Chafik Bouhaddioui ◽  
Rachida Dssouli
Keyword(s):  
Big Data ◽  
Quality Management ◽  
Data Quality ◽  
Value Added ◽  
Holistic Approach ◽  
Research Area ◽  
Heterogeneous Data ◽  
Data Generation ◽  
Continuous Quality ◽  
Quality Profile

AbstractBig Data is an essential research area for governments, institutions, and private agencies to support their analytics decisions. Big Data refers to all about data, how it is collected, processed, and analyzed to generate value-added data-driven insights and decisions. Degradation in Data Quality may result in unpredictable consequences. In this case, confidence and worthiness in the data and its source are lost. In the Big Data context, data characteristics, such as volume, multi-heterogeneous data sources, and fast data generation, increase the risk of quality degradation and require efficient mechanisms to check data worthiness. However, ensuring Big Data Quality (BDQ) is a very costly and time-consuming process, since excessive computing resources are required. Maintaining Quality through the Big Data lifecycle requires quality profiling and verification before its processing decision. A BDQ Management Framework for enhancing the pre-processing activities while strengthening data control is proposed. The proposed framework uses a new concept called Big Data Quality Profile. This concept captures quality outline, requirements, attributes, dimensions, scores, and rules. Using Big Data profiling and sampling components of the framework, a faster and efficient data quality estimation is initiated before and after an intermediate pre-processing phase. The exploratory profiling component of the framework plays an initial role in quality profiling; it uses a set of predefined quality metrics to evaluate important data quality dimensions. It generates quality rules by applying various pre-processing activities and their related functions. These rules mainly aim at the Data Quality Profile and result in quality scores for the selected quality attributes. The framework implementation and dataflow management across various quality management processes have been discussed, further some ongoing work on framework evaluation and deployment to support quality evaluation decisions conclude the paper.

A systematic review of e-tail product returns and an agenda for future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kamrul Ahsan ◽  
Shams Rahman
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Research Area ◽  
Future Research ◽  
Product Returns ◽  
Content Type ◽  
People Skills ◽  
New Research ◽  
Returns Management ◽  
The Impact

PurposeThis study conducts a systematic literature review of e-tail product returns research. E-tail product returns are essentially acquisition of products that have been sold through purely online or brick-and-click channels and then returned by consumer to business.Design/methodology/approachUsing a systematic literature review protocol, we identified 75 peer-reviewed articles on e-tail product returns, conducted bibliometric analysis and content analysis of the articles and summarised our findings.FindingsThe findings reveal that the subject of e-tail returns is a new research area; academics have started to investigate several aspects of e-tail returns through different research methodologies and theoretical foundations. Further research is required in leading e-commerce countries and on key areas such as omni-channel returns management, customer satisfaction and service, the impact of resources such as people skills, the benefits of technology and IT systems in managing e-tail returns.Practical implicationsThe study offers a summative account of current e-tail knowledge areas, which can serve as a reference guide for e-tailers to develop strategies for more efficient and competitive product returns.Originality/valueThis study contributes theoretically by developing clusters of key themes or knowledge areas about e-tail returns. It also provides a conceptual framework for e-tail returns management, which can be used as a springboard for further empirical research.

scholarly journals Organisational culture, organisational learning and total quality management: A literature review and synthesis

1999 ◽  
Vol 22 (3) ◽  
pp. 162 ◽  
Author(s):  
Geoffrey Bloor
Keyword(s):  
Quality Management ◽  
Health Services ◽  
Literature Review ◽  
Total Quality Management ◽  
Continuous Improvement ◽  
Organisational Culture ◽  
Organisational Learning ◽  
Total Quality ◽  
Improvement Programs

As health services face increasing pressure to meet the expectations of different stakeholders,they must continuously improve and learn from their experience. Many fail in attempts at continuous improvement programs because managers have not understood the complexity of making changes in organisations with multiple subcultures and interests. This article examines the related concepts of organisational culture, organisational learning and total quality management and shows how a synthesis of this knowledge can assist in develop ingcontinuous organisational learning and improvement.

Sign in / Sign up

Export Citation Format

Share Document