Quality assessment of cold chain storage facilities for regulatory and quality management compliance in a developing country context

2021 ◽  
Author(s):  
Otuto Amarauche Chukwu ◽  
Maxwell Adibe
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Developing Country ◽  
Cold Chain ◽  
Storage Facilities

THE PATH OF TOTAL QUALITY MANAGEMENT IMPLEMENTATION IN A DEVELOPING COUNTRY: PERU

2020 ◽  
Vol 14 (3) ◽  
pp. 749-764
Author(s):  
Jorge Benzaquen de Las Casas ◽  
◽  
Beatrice Avolio Alecchi
Keyword(s):  
Quality Management ◽  
Total Quality Management ◽  
Developing Country ◽  
Total Quality

scholarly journals Ethylene Sensor-Enabled Dynamic Monitoring and Multi-Strategies Control for Quality Management of Fruit Cold Chain Logistics

Sensors ◽  
2020 ◽  
Vol 20 (20) ◽  
pp. 5830
Author(s):  
Xuepei Wang ◽  
Xinwu Li ◽  
Daqi Fu ◽  
Rajko Vidrih ◽  
Xiaoshuan Zhang
Keyword(s):  
Quality Management ◽  
Control Strategies ◽  
Response Speed ◽  
Chromatic Aberration ◽  
Quality Parameters ◽  
Soluble Solids ◽  
Cold Chain ◽  
Dynamic Monitoring ◽  
Quality Loss ◽  
Exogenous Ethylene

Due to the presence of bioactive compounds, fruits are an essential part of people’s healthy diet. However, endogenous ethylene produced by climacteric fruits and exogenous ethylene in the microenvironment could play a pivotal role in the physiological and metabolic activities, leading to quality losses during storage or shelf life. Moreover, due to the variety of fruits and complex scenarios, different ethylene control strategies need to be adapted to improve the marketability of fruits and maintain their high quality. Therefore, this study proposed an ethylene dynamic monitoring based on multi-strategies control to reduce the post-harvest quality loss of fruits, which was evaluated here for blueberries, sweet cherries, and apples. The results showed that the ethylene dynamic monitoring had rapid static/dynamic response speed (2 ppm/s) and accurately monitoring of ethylene content (99% accuracy). In addition, the quality parameters evolution (firmness, soluble solids contents, weight loss rate, and chromatic aberration) showed that the ethylene multi-strategies control could effectively reduce the quality loss of fruits studied, which showed great potential in improving the quality management of fruits in the supply chain.

External Quality Assessment in the Quality Management of POCT

2005 ◽  
Vol 4 (4) ◽  
pp. 164-166 ◽  
Author(s):  
Harold Richardson ◽  
Jane Gun-Munro ◽  
Astrid Petersons ◽  
Sharon Webb
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
External Quality Assessment ◽  
External Quality

Quality Management System for Clinical Nutrition (Preprint)

2021 ◽  
Author(s):  
Jin Wang ◽  
Xianghua Ma
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Quality Assessment ◽  
Human Resource ◽  
Management System ◽  
Quality Management System ◽  
Electronic System ◽  
Health Science ◽  
Clinical Nutrition ◽  
Medical Quality

BACKGROUND From the perspective of medical ethics, patient safety is the core before any other factors within health science. As the application of health science, medical services are inseparable from the safety of patients' lives and medical ethics. Scope of its practice is composed of statutory and individual components, includes codes of ethics and other resources. As the Quality Management Center of Clinical Nutrition in Jiangsu, it is the system`s responsibility to standardize and improve the professional performance within the province`s tertiary hospitals. Their quality assessment comes from the reported data of all CND among these hospitals, such as human and material resource, professional practice, foodservice operation, patient`s satisfaction, and nutrition education presentation for hospital and community. Within this information era, most of the current information is network-based, as well as the data of healthcare. An electronic system that automatically collects medical information can realize timely monitoring of patient health, improve the effectiveness and accuracy of medical treatment. From a medical quality perspective, a reliance intelligent management system can improve data curation, reduce human resource costs, and contribute to facilitating continuous improvement. As one of the inventions in the information era, AI shows its strong adaptability to the network-based health-care system. It can be introduced into clinical behavior detection accurately and automatically, and of great significance for reducing the incidence of treatment errors and ensuring patients safety. However, the amount of digital data has increased dramatically after the appliance of online system5. A crucial consequence is that data management has become more complex, which has increased the necessity for methods that are able to deal with the quality assessment of digital information. From the perspective of QM and the discipline development of a medical specialty, such as CN, the specific indicators and the application evaluation of AI are important to achieving quality control goals. To our knowledge, the application of AI into medical service quality assessment has merely been evaluated, especially for CND. There existed a unified platform for all the QM centers of various medical specialties set up by the Jiangsu Provincial Health Commission. After its broken-down in October 2017, the QMCNJ became the first center to independently develop and promote the application of its online platforms named “Jiangsu Province Clinical Nutrition Management Platform”. It was officially launched in the QMSNJ in 2019 and successfully promoted to 70 CND within the quality control system. They are required to fill in relevant information regularly in accordance with the regulations of “Strengthening the Management of Provincial Medical Quality Management System” formulated by JPHC, which has revised in September 2020. Since the stable application of this platform for two years, its effect in QM required to be validated. At the same time, the application value of AI and the development of the CND in Jiangsu can also be clarified. OBJECTIVE To critically evaluate the Quality Management System (QMS) for Clinical Nutrition (CN) in Jiangsu. Monitor its performance in quality assessment as well as human resource management from nutrition aspect. Investigate the appliance and development of Artificial Intelligence (AI) in medical quality control. METHODS Subjects: The study source of this research was all the staffs of 70 Clinical Nutrition Department (CND) of the tertiary hospitals in Jiangsu Province, China. These departments are all members of the Quality Management System of Clinical Nutrition in Jiangsu (QMSNJ). Methods: An online survey was conducted on all 341 employees within all these CNDs based on the staff information from the surveyed medical institutions. The questionnaire contains 5 aspects, while data analysis and AI evaluation were focused on human resource information. RESULTS 330 questionnaires were collected with the respondent rate of 96.77%. The QMS for CN has been build up for CNDs in Jiangsu, which achieved its target in human resource improvements, especially among dietitians. The increasing number of participated departments (42.8%) and the significant growth of dietitians (p=0.02, t=-0.42) are all expressions of the advancements of QMSNJ. CONCLUSIONS As the first innovation of an online platform for QM in Jiangsu, JPCNMP has been successfully implemented among QMS from this research. This multidimensional electronic system can help QMSNJ and CND achieve quality assessment from various aspects, so as to realize the continuous improvement of clinical nutrition. The instrument of online platform, as well as AI technology for quality assessment is worth to be recommended and promoted in the future.

scholarly journals Quality Assessment Across A National Cancer Network

2013 ◽  
Vol 9 (3) ◽  
pp. 165-168 ◽  
Author(s):  
William J. Simeone ◽  
John Bingham ◽  
Thomas W. Burke ◽  
Peter W.T. Pisters
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Quality Care ◽  
Quality Metrics ◽  
High Quality ◽  
National Network ◽  
High Quality Care ◽  
Cancer Network

Quality management with the ability to benchmark quality metrics remains a cornerstone of the authors' overarching strategy to maintain consistent high-quality care throughout our national network.

Safety and quality assessment of ready-to-eat pork products in the cold chain

2015 ◽  
Vol 148 ◽  
pp. 43-52 ◽  
Author(s):  
V. Stahl ◽  
F.T. Ndoye ◽  
M. El Jabri ◽  
J.F. Le Page ◽  
B. Hezard ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Cold Chain ◽  
Pork Products

Quality Assurance for Environmental Monitoring

1995 ◽  
Vol 30 (1) ◽  
pp. 1-8
Author(s):  
John Lawrence ◽  
Keijo I. Aspila
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Data Quality ◽  
Quality Assessment ◽  
Ecological Monitoring ◽  
Management Plan ◽  
Total Quality ◽  
Data Quality Management ◽  
Management Planning ◽  
Management Framework

Abstract A data quality management framework for ecological monitoring programs is described. A total quality management framework has three key elements: quality management planning, quality control, and quality assessment and audit. The quality management plan establishes the data quality objectives, the protocols and procedure documents to be followed, reporting schedules, training needs and the individuals to be held accountable. Quality control is the systematic set of procedures carried out by each operational unit involved in the measurement process. Quality assessment is the set of procedures designed to provide the overall check on data quality while verifying that the other components of the framework are adequate.

scholarly journals Service industries and construction: trends and view at a quality assessment

2019 ◽  
Vol 265 ◽  
pp. 07016
Author(s):  
Vladimir Okrepilov ◽  
Svetlana Kuzmina ◽  
Tatiana Lebedeva
Keyword(s):  
Quality Management ◽  
Quality Assessment ◽  
Service Sector ◽  
Service Industries ◽  
Management Systems ◽  
Quality Management Systems ◽  
Quality Of Work

This paper looks at the current issues of raising the quality of work in businesses of the service sector including to construction and transport. Options for classifying businesses of this sector are given, as well as a classification by the author. The peculiarities of work in these businesses are examined, along with the peculiarities of their work in the Northwestern District. The advantages of introducing quality management systems into these businesses are given. Furthermore, the interpretation of quality management principles as applied to the service industries and construction are looked at.

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