Showing posts with label quality management. Show all posts
Showing posts with label quality management. Show all posts

Saturday, 21 June 2025

Exploring Quality Management System of Critical Care Units in Tertiary Care Hospitals | Chapter 3 | Medicine and Medical Research: New Perspectives Vol. 4

Introduction: Hospitals in the twentieth century were tremendously advanced, with a large workforce, innovative technologies, and doctors with super specializations. Quality management involves overseeing all activities and tasks required to achieve a desired level of excellence. This is evidenced by the collection and analysis of data to demonstrate adherence to established standards and criteria. Quality control is a method aimed at ensuring that performance services meet predefined quality criteria to fulfill patient requirements. Despite numerous improvement initiatives in hospitals, the quality of care provided remains a subject of scrutiny.

 

Aim: This study aimed to assess the satisfaction levels of patients and their attendants, evaluate the quality of care provided in the ICU, and determine the knowledge regarding quality management among ICU staff.

 

Materials and Methods: The efficiency of any healthcare unit is measured by its quality indicators. In this study, various Quality Indicators used in the ICU were utilized. ICU staff members completed a self-structured questionnaire. The chi-square test was used to identify associations between score levels and selected demographic variables, revealing significant associations with age, designation, qualification, and experience.

 

Results: The data showed that 34.3% of patients and their attendants rated the ICU services as excellent, while 42.1% reported always being satisfied with the services provided. The age, designation, qualification, and experience of the staff significantly impacted the working standards of the ICU staff, whereas gender and marital status did not. Additionally, 66.2% of the staff consistently demonstrated knowledge regarding ICU working standards. Overall, 94.6% of practices followed in the ICU were rated as good, 5.4% as average, and 0% as poor.

 

Conclusion: Various determinants were used to calculate the results. The quality of the ICU, according to patients and their attendants, was assessed, with 66.7% rating it as good. The majority of the patients and their attendance were satisfied with the services provided to them in the ICU. The services provided to patients and their attendants were evaluated, alongside the satisfaction levels of those admitted to the ICU and the knowledge of the staff working in the ICU. This study concludes that there is always a scope for improvement in order to meet the quality standards.

 

Author (s) Details

 

Sumreen Bhatia
MYAS-GNDU Department of Sports Sciences and Medicine, Guru Nanak Dev University, Amritsar, Punjab, India.

 

Seep Sonali
MYAS-GNDU Department of Sports Sciences and Medicine, Guru Nanak Dev University, Amritsar, Punjab, India.

 

Please see the book here:- https://doi.org/10.9734/bpi/mmrnp/v4/1846

Thursday, 21 March 2024

Quality Culture in Transfusion Medicine | Chapter 3 | New Visions in Medicine and Medical Science Vol. 1

The field of Transfusion Medicine as a bridging science, integrally deals with that part of the health care system that undertakes the appropriate provision and use of human blood resources, whether whole blood, plasma, or cellular components. The development of a safe blood supply and transfusion brings along the introduction of managing quality as a culture. This is implemented through the introduction of a quality system (QS) and a related quality management system (QMS). Quality system management (QSM) in transfusion medicine is about providing and assuring vein-to-vein safe and effective hemotherapy. In many situations in the world the idea is that when instructions are written (SOPs) a quality system is in place; one just has to follow the instructions and ‘that is it, we’re done’!

However, quality does not only partly depend on following instructions at the operational level. What is generally not understood is the importance of designing and implementing quality system management as an institutional culture, based on five key elements 1) organization and (infra)structure; 2) standards (technical and quality); 3) documentation to allow traceability and evidence; 4) education through continued teaching and training; 5) assessment through continued monitoring and evaluation. There are a number of quality management systems available, which can be applied to procurement and clinical use of blood. Some are “process”- and “operations-oriented” while others deal more with the management aspects, securing a quality environment and culture, necessary for consistency and reliability of the operational processes. The EU EFQM and Canadian ISQua systems are based on concepts of excellence.

To achieve an optimal understanding of the values of vein-to-vein quality in transfusion medicine, a culture has to be developed through ownership, stewardship, and commitment to and implementation of the principles of fitness for purpose, the supplier-producer-customer continuum, and customer-orientation and satisfaction. Commitment from top management is the driving force for a culture of quality. Leaders need to be clearly visible, engaged and unwavering in their support for quality improvement.

 

Author(s) Details:

Cees Th. Smit Sibinga,
IQM Consulting and University of Groningen, Netherlands.

Please see the link here: https://stm.bookpi.org/NVMMS-V1/article/view/13650

Thursday, 29 September 2022

Minimum Quality Standards in Social Services for the Elderly | Chapter 9 | Research Aspects in Arts and Social Studies Vol. 2

 The paper lists the requirements for quality that social services for the elderly must meet and demonstrates how to put those requirements into practise. The report also provides an illustration of how to assess the standard of senior social services. The data collecting sheet, the document matrix, and the inventory of documents were the key tools we employed in our qualitative data analysis technique. The traditional stages of content analysis were as follows: inventorying standards, indicators, procedures, and tools; standardising the data present in the aforementioned quality standards; classifying into analysis units; identifying the main categories of analysis; coding; and concluding data analysis. The investigation revealed three kinds of information: the roles played by elderly people in the safety net, the elderly living in institutions' relationship systems, and the elderly living in institutions' social integration. The paper's principal conclusion emphasises how critical it is to give social workers intervention tools and procedures that take into account the features revealed by the examination of the quality management system.


Author(s) Details:

Sorina Corman,
Faculty of Social Sciences and Humanities, Lucian Blaga University of Sibiu, 5-7 Victoriei, Sibiu, România.

Please see the link here: https://stm.bookpi.org/RAASS-V2/article/view/8309

Thursday, 18 August 2022

Using Performance Indicators for Hospital Quality Management: A Qualitative Interview Study amongst Health Professionals and Quality Managers in the Netherlands | Chapter 11 | Current Overview on Disease and Health Research Vol. 3

 The aim of this study was to explore hospitals’ use of performance indicators for internal quality management activities.

The study conducted a qualitative interview among 72 health professionals and quality managers in 14 acute care hospitals in The Netherlands. The goal was to gain insight into data collection and use of performance indicators for two conditions: knee and hip replacement surgery and breast cancer surgery. Based on the data, themes were synthesized and the analyses were executed systematically by two analysts independently. Hospitals collect data for performance indicators and use it for quality management in different ways, while some do not seem to use the data for this purpose at all. Factors like ‘linking pin champions’, pro-active quality managers and engaged medical specialists seem to make a difference. A comprehensive hospital data infrastructure with electronic patient records and robust data collection software appears to be a prerequisite to produce reliable performance data for internal quality improvement.

Performance indicators are frequently used by hospitals as a tool to help internal quality control. It is advised that hospitals concentrate their human resource policies on "connecting pin champions," the employment of experts and a proactive quality manager, and to make investments in a robust data infrastructure. Furthermore, it is challenging to compare the results of performance metrics among Dutch hospitals due to variations in data collection procedures. "Linking pin champions," "active quality managers," and "involved medical specialists" are factors that seem to matter. To provide trustworthy performance data for internal quality improvement, a comprehensive hospital data infrastructure with electronic patient records and dependable data gathering tools appears to be necessary. Hospitals typically utilise performance indicators as a tool to aid with internal quality control. Hospitals are recommended to focus their human resource policies on "connecting pin champions," the hiring of professionals and a proactive quality manager, as well as to make investments in a strong data infrastructure. Furthermore, due to differences in data gathering methods, it is difficult to compare performance metrics findings amongst Dutch hospitals.

Author(s) Details:

Daan Botje,
Amphia Hospital, Langendijk 75, P.O. box 901574800 RA Breda, Netherlands and NIVEL, Netherlands Institute for Health Services Research, Utrecht, Netherlands.

Guus ten Asbroek,
Ahti, Amsterdam Health & Technology Institute, Amsterdam, Netherlands and   Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Thomas Plochg,
Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands and  Netherlands Public Health Federation, Utrecht, Netherlands.

Helen Anema,
Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Dionne S. Kringos,
Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Claudia Fischer,
Philips Research, Cambridge, UK.

Cordula Wagner,
NIVEL, Netherlands Institute for Health Services Research, Utrecht, Netherlands and Philips Research, Cambridge, UK.

Niek S. Klazinga,
Department of Public Health, Academic Medical Center, University of Amsterdam, Amsterdam, Netherlands.

Please see the link here: https://stm.bookpi.org/CODHR-V3/article/view/7901

Tuesday, 5 October 2021

Study on Manufacturing Based on Feature Recognition Using NX | Chapter 1| New Approaches in Engineering Research Vol. 15

 Companies are constantly updating their goods, both in terms of design and performance, as well as in terms of manufacturing technology, in order to ensure high performance, low cost, and short manufacture time. Different researchers have studied the concept of feature recognition in as many activities as possible that contribute to the achievement of a product, starting from design, manufacturing, production planning, assembly, and quality management, thanks to the integration of Computer Aided Design (CAD) applications with Computer Aided Manufacturing (CAM) applications. The automatic realisation of programmes for numerically controlled (CNC) machine tools based on the characteristics of the features that make up the part was tackled to make the production process more efficient. The article gives a case study on how to use the Siemens NX application's feature recognition capabilities to run machining programmes on CNC machine tools.


Author(S) Details

I. Stanasel
Department of Industrial Engineering, Faculty of Managerial and Technological Engineering, University of Oradea, Romania.

F. S. Blaga
Department of Industrial Engineering, Faculty of Managerial and Technological Engineering, University of Oradea, Romania.

T. Buidos
Department of Industrial Engineering, Faculty of Managerial and Technological Engineering, University of Oradea, Romania.

View Book:- https://stm.bookpi.org/NAER-V15/article/view/4020