• Quality Improvement in Health Care
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• v.14 no.1
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• pp.61-68
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• 2008

• International Journal of Quality Innovation
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• v.2 no.2
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• pp.127-135
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• 2001

Personnel engaged in the medical field have implemented continual improvement by team activities in an effort to construct a system that reduces the risks involved in medical care. Knowledge in total quality management (TQM), especially statistical quality control (SQC) developed for industry, seems to be applicable to medical care. This paper describes the application of SQC to continual improvement in medical care.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.845-853
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• 2016

Purpose: This research is to find the general and somewhat prevailing problems in quality circle papers. Many quality circles try to benchmark awarded papers even though they may have common problems. By pointing out popular problems in papers, many quality circles hopefully could be guided to the right direction in working out improvement actions. Methods: Many papers awarded in national quality circle conferences are deeply analyzed to figure out common problems. 69 recent papers are analyzed step by step and the most important and frequently occurring problems in each step are indicated. Results: Many prevailing problems are found in each step of QC stories. Especially finding themes, Grasping status quo, Cause analysis, Setting targets, Development of and Implementing counter attacks are the most common areas that have problems. Conclusion: Some problems are already too popular to be recognized as problems. In this paper those problems are logically criticized and thereby right directions for future quality circle activities are proposed.

• Quality Improvement in Health Care
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• v.10 no.1
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• pp.8-19
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• 2003

Background : There have been many studies and efforts about quality management in health services, but there were not founded quality assessment on social services. This study was designed for understood level of quality on social service, identified for correlation factors of quality assessment on social services in general and teaching hospitals in Korea. Methods : The subjects of this survey were 80 leaders of social service units. The survey data from each subjects were measured to evaluate level of quality that service provider perceived of sample hospitals. Social worker's attitude of quality assurance activities, perception of quality assurance system in that hospitals were measured. Under the method of one-way ANOVA, t-test and correlation, associated factors of quality assessment in social work service was analyzed. Results : The major findings were as following ; First, the level of quality perceived showed less score, especially the lowest was the score of quality of outcome. Second, social worker's attitude of quality assurance activities showed high score, but quality assurance system of hospitals showed less score. Third, the level of quality assurance system of hospitals, social worker's attitudes of quality assurance activities. Conclusion : The quality of social work service correlated positive hospitals's quality assurance system, social worker's attitudes of quality assurance activities. Therefore, to assure the proper level of quality, qualified for hospitals system of quality assurance, and needed to a educational program for enhanced social workers's attitudes in quality assurance activities.

• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.45-52
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• 2021

The article proves the relevance of developing conceptual frameworks for managing the quality assurance of logistics activities in the context of socio-economic interaction of their participants. It is established that the fundamental difference of the logistic approach in management from traditional approaches is the allocation of a single management function of previously separated, disparate material flows, as well as economic, technological, information integration of chain links into a single system capable of effective management of these flows. It is substantiated that the functioning of the enterprise as a logistics system can be represented in the form of a triad of logistics components, namely: supply logistics, production logistics, sales logistics. Management of quality assurance processes of logistics activities in the context of socio-economic interaction of their participants is a functional component of the entire logistics system due to the quality of work and interaction of all participants in the implementation of certain activities. The quality of logistics activities will affect the level of economic potential, rationalization and optimization of all logistics flows. It is proved that the management of quality assurance processes of logistics activities in the context of socio-economic interaction of their participants involves the following main areas: the introduction of a quality system of logistics processes; development and implementation of the general strategy of quality improvement at the enterprise; internal integration; controlling. Management of quality assurance processes of logistics activities in the context of socio-economic interaction of its participants requires compliance with the following requirements: systematic and comprehensive management of all flow processes; coordination of criteria and indicators for assessing the effectiveness of the entire logistics system; dissemination of the use and application of information technology; ensuring partnerships and close interaction of all participants in sales networks.

• Journal of Korean Society for Quality Management
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• v.30 no.1
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• pp.61-73
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• 2002

The Quality Function Deployment(QFD) is a Quality Management technique to maximize customers' satisfaction by reflecting customer requirements into all business processes, including concept definition, product planning, parts planning, process planning, production planning, and sales planning. The basic concept of the QFD is to translate customers' requirements appropriately into engineering characteristics, into parts characteristics, into process characteristics, and into specific requirements and activities in production. In this study, we reviewed and analyzed the application process of the QFD to the development of A2 FATC (Full Automatic Temperature Controller), an automotive component developed and produced by company A. It has been reported that by applying the QFD to the development of A2 FATC, company A. achieved 34% improvement in control robustness quality characteristic, 27% improvement in deviation quality characteristic, and 30% improvement in overall quality characteristics.

• Quality Improvement in Health Care
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• v.6 no.1_2
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• pp.32-36
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• 1999

• Journal of Korean Society for Quality Management
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• v.48 no.1
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• pp.227-239
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• 2020

Purpose: The purpose of this study is to introduce the improving attorney system. It was confirmed by document writing that the staff in the field in Korea had the most difficulty in the Quality circle activities. The reform improving attorney is a quality expert at the Quality Secretariat and assists them in their documentation. Methods: Just as a patent attorney helps to get a patent, an improving attorney system helps document the improvement results of the field Quality circle and even standardizes the company. The process of introducing an improving attorney includes the declaration of an improving attorney are 11 levels of work. Results: An improving attorney was conducted in 600 organizations for 18 months. As a result of the comparison of the number of cases before and after the introduction of the improving attorney, the number of solution problem was lowered to 9 before 2016 and 8 in 2017, but after the introduction, it increased exponentially to 181 in 2018 and 162 in August 2019. In 2016 and 2017, only one standard was registered, but 64 standards were registered in 2018 and 71 in 2019. Conclusion: In this case, the improving attorney system was found to be helpful in activating the Quality circle. It is expected to revitalize Korea's Quality circle by spreading the improving attorney system to many companies.

• Quality Improvement in Health Care
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• v.8 no.2
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• pp.186-207
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• 2001

Background : This study presented an analysis of healthcare quality indicators using data mining and a development of decision support system for quality improvement. Method : Specifically, important factors influencing the key quality indicators were identified using a decision tree method for data mining based on 8,405 patients who discharged from a medical center during the period between December 1, 2000 and January 31, 2001. In addition, a decision support system was developed to analyze and monitor trends of these quality indicators using a Visual Basic 6.0. Guidelines and tutorial for quality improvement activities were also included in the system. Result : Among 12 selected quality indicators, decision tree analysis was performed for 3 indicators ; unscheduled readmission due to the same or related condition, unscheduled return to intensive care unit, and inpatient mortality which have a volume bigger than 100 cases during the period. The optimum range of target group in healthcare quality indicators were identified from the gain chart. Important influencing factors for these 3 indicators were: diagnosis, attribute of the disease, and age of the patient in unscheduled returns to ICU group ; and length of stay, diagnosis, and belonging department in inpatient mortality group. Conclusion : We developed a decision support system through analysis of healthcare quality indicators and data mining technique which can be effectively implemented for utilization review and quality management in a healthcare organization. In the future, further number of quality indicators should be developed to effectively support a hospital-wide Continuous Quality Improvement activity. Through these endevours, a decision support system can be developed and the newly developed decision support system should be well integrated with the hospital Order Communication System to support concurrent review, utilization review, quality and risk management.

• Health Policy and Management
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• v.11 no.4
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• pp.54-69
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• 2001

This study was conducted to assess factors associated with the degree of performance of qualify improvement(QI) activities. A mailed questionnaire survey was conducted between September 15 and October 30, 2000, with the staffs being charge of QI at each of the hospitals with 400 beds or greater. Of the 108 hospitals eligible for inclusion in our study, 79 participated, yielding a response rate of 73.1%. After excluding 12 hospitals that did not perform any QI activities, 117 responses from 67 hospitals were used for the analysis. Using the Malcolm Baldrige National Quality Award Criteria(MBNQAC), perceived performance of QI was measured in terms of the improvement of the quality of clinical practice, clinical supporting department, administrative procedure of receiving care, customer satisfaction, efficiency and standardization of work process. Factors evaluated for the association were the extent of QI implementation, compliance to 5 QI principles, participation of hospital CEOs, budget allocation, history of QI, and bed size. Path analysis was performed to assess the relationship between QI performance and these factors. Major findings of this study are as follows. Hospitals showing higher degree of QI implementation (path coefficient=0.5967, p<0.001)) and better compliance with the basic principes of QI(0.5736, p<0.05) tended to achieve better performance. Path analysis results showed that interest and participation of hospital CEOs(0.1954, p<0.05) and compliance with the basic principes of QI(0.4028, p<0.0001) indirectly affected the outcomes of QI by influencing the intermediate variable of the level of QI implementation. This study results suggest that having employees have a good orientation of the basic concept and principes of QI through relevant training be the most important requirement to achieve better outcomes from QI activities. In addition, to educate leaders of hospitals the need of active implementation of QI is important to encourage their participation and draw strong support for QI programs.