• Health Policy and Management
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• v.23 no.2
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• pp.103-111
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• 2013

Seven diagnosis-related groups (DRGs) prospective payment system is going to expand to all hospitals including university hospitals this year. However there are few studies on the change of practice pattern under prospective payment system in the university hospital setting. So This study was intended to predict the practice pattern change after the introduction of 7 DRGs prospective payment system in a university hospital setting. To predict the change of practice pattern, this study used simulation technique. Five hundred and nineteen patients classified as 5 DRGs in a university hospital were selected for simulation. The change of practice pattern were predicted based on clinicians' opinion. We also predicted payment change by service items. Major findings of this study are as follows. First, the total medical payment was reduced by 14.4%. The drug payment change (8.8%) took most of total payment reduction. The followings are the change of treatment material cost (3.2%), the change of laboratory tests cost (1.8%), the change of room charge (0.5%), and other payment change (0.1%), respectively. Second, most of the reduction in total medical payment resulted from the decreased amount of medical services themselves. The transfer of medical services to outpatient setting took up only 4.9% of the total payment reduction. The change of unit price or composition took up 5.5% of the total payment reduction. In this study we found that it is possible to reduce the inpatient services through practice pattern change in university hospital setting. However, it needs to be careful to adjust DRG payment after the reduction of provided services, because most of reduction was not due to service transfer but to service volume reduction. It is desirable to utilize the saving from practice pattern change as incentive to improve quality of care.

• Journal of Korean Society for Quality Management
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• v.44 no.2
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• pp.265-276
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• 2016

Purpose: This paper reviews the papers on service quality issues which are published in the Journal of the Korean Society for Quality Management (KSQM) since 1965. The literature review is purposed to survey a variety of service quality issues for several categories in terms of industry as well as research model. Methods: By use of the double diamond design process model 71 papers are analyzed 4 stages which are discover, define, develop and deliver. And all of service quality issues are classified into 4 categories: service factory, mass service, service shop and professional service by the service process matrix typology. Results: According to this review, there are several features of research trends. There are 'from physical service to information-intensive service pattern' and 'from private sector to public sector pattern'. And the Kano model has been a steady-selling model to measure the service quality as like a SERVQUAL. Another meaningful issue was a convergency of the research method and tools such as BSC, CRM, AHP, DEA, Information System, Systgem Dynamics and 6 Sigma. Conclusion: The review paper is expected to provide future direction to improve service quality theories and applications. There are three future research topics: Application area, measurement model and research purpose.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.251-265
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• 2013

The emergence of social network services, is changing the foundation of human relationship formation and method of communication of individuals through sharing of free information. Social network service is a service to support or facilitate an on-line extension of off-line network among people by helping them to share personal profile. History of social network services very short. But users of the various layers is increasing rapidly and ripple effect social as a result is very large. The focus of existing research was mainly devoted to motivation of use and acceptance of social network services. Currently the use of SNS was maturing. Thus, in-depth research on the use pattern of SNS users is needed. The purpose of this study is that, for Facebook in social network services, to analyze the changes in the initial stage of use, medium-term, usage patterns at the current time. Results of the study by analyzing the characteristics of the change in the pattern of usage of user of Facebook, it can be used as basic materials for SNS researchers and service provider.

• Journal of Korean Public Health Nursing
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• v.8 no.1
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• pp.84-102
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• 1994

This study was conducted to provide basic policy of home care service centered on early discharging patients from general hospitals. This subjects for this study were 291 discharging patients from university hospital in Chon-ju area. The data were collected during the period from July 1, 1993 through July 16, 1993. The measurement tools were developed based on 9 categorized human responses patterns suggested by NANDA and modified by the research team. The collected data were processed with SPSS/PC + frequency, percentage and mean were used for analysis. From the study, the following summerized conclusions have been drown. A. For home care needs, the mean was $19.0\%$ of possible to total 100 and in a range of $6.2\~39.5\%$ 1. Exchanging Pattern: $17.8\%$ 2. Communication Pattern: $8.6\%$ 3. Relating Pattern : $15.4\%$ 4. Valuing Pattern: $13.4\%$ 5. Choosing Pattern : $6.2\%$ 6. Moving Pattern : $22.9\%$ 7. Perceiving Pattern: $16.5\%$ 8. Knowing Pattern : $30.8\%$ 9. Feeling Pattern : $39.5\%$ B. Response to home care services, 1. $85.6\%$ of subjects didn't hear about home care service. 2. Over $90.0\%$ subjects approved home care service. 3. $83.5\%$of subjects were willing to use home care service. 4. $85.9\%$ of subjects will follow to early discharge order. On the basis of this findings, further studies are required to compare home care needs between patients, their family and community health people groups. And also required to develop to information strategies for home care nursing service.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.276-279
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• 2004

The location-based service is one of the most powerful services in the mobile area. The location-based service provides information service for moving user's location information and information service using wire / wireless communication. In this paper, we propose a model for personalized recommendation system which includes location information and personalized recommendation system for location-based service. For this service system, we consider mobile clients that have a limited resource and low bandwidth. Because it is difficult to input the words at mobile device, we must deliberate it when we design the interface of system. We design and implement the personalized recommendation system for location-based services(advertisement, discount news, and event information) that support user's needs and location information. As a result, it can be used to design the other location-based service systems related to user's location information in mobile environment. In this case, we need to establish formal definition of moving objects and their temporal pattern.

• Journal of Digital Contents Society
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• v.15 no.5
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• pp.569-577
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• 2014

The various services are required to user in time and space. It is important to provide suitable service to user according to user's circumstance. Therefore it is need to provide services to user through mining by latest information of user activity and service history. In this paper we propose a mining method to search association rule using service history based on spatiotemporal information and service ontology. In this method, we find the associative service pattern using level-cross tree on service ontology. The proposed method is to be a basic research to find the service pattern to provide high quality service to user according to season, location and age under the same context.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.5 no.10
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• pp.1712-1732
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• 2011

Cloud provides dynamically scalable virtualized computing resources as a service over the Internet. To achieve higher resource utilization over virtualization technology, an optimized strategy that deploys virtual machines on physical machines is needed. That is, the total number of active physical host nodes should be dynamically changed to correspond to their resource usage rate, thereby maintaining optimum utilization of physical machines. In this paper, we propose a pattern-based prediction model for resource provisioning which facilitates best possible resource preparation by analyzing the resource utilization and deriving resource usage patterns. The focus of our work is on predicting future resource requests by optimized dynamic resource management strategy that is applied to a virtualized data center in a Cloud computing environment. To this end, we build a prediction model that is based on user request patterns and make a prediction of system behavior for the near future. As a result, this model can save time for predicting the needed resource amount and reduce the possibility of resource overuse. In addition, we studied the performance of our proposed model comparing with conventional resource provisioning models under various Cloud execution conditions. The experimental results showed that our pattern-based prediction model gives significant benefits over conventional models.

• Proceedings of the IEEK Conference
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• 2000.07a
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• pp.553-556
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• 2000

This paper suggests the way to perform the handover by predicting the movement route of the mobile terminal by considering the movement pattern of the user. By considering the fact that the most users has the constant movement pattern, the channels needed fur the handover can be reserved, and the required quality of service (QoS) is maintained during handover. The suggested algorithm makes the channel allocation schemes more efficient.

• Information Systems Review
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• v.7 no.1
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• pp.173-193
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• 2005

ASP service that is emerging as a new form of application outsourcing has the advantage of lower cost and risk. Therefore, ASP service may be attractive for small firms and even some new companies. However, studies about ASP service are rare in academic and professional journals, and most of the articles about outsourcing were considering mainly large enterprises. The purpose of this article is to analyze the effects of the some context variables of Korean small businesses on ASP service usage pattern, and the effect of ASP service usage pattern on user satisfaction and firm performance. The analysis results show that firm size has a positive impact on IT need of small businesses, and IT need of small businesses have a positive impact on training period and past usage period. Also, firm size, IT need, training period has an positive impact on ASP service usage pattern. However, ASP service usage period has no relationship on ASP service usage pattern. Finally, ASP service usage pattern has a positive impact on firm performance and user satisfaction, and user satisfaction has an impact on firm performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.1A
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• pp.46-54
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• 2005

This paper presents an effcient mobile multicast method using the user pattern. We exploit the repetitive movement pattern of mobile node to reduce the total number of experience of graft and join procedure. We defined the locality scope by a movement pattern. While the network is included in the locality scope, the network should maintain a multicast tree even when the mobile node moves to the other network. In this way, the mobile host can receive a multicast service without a delay when it moves to the network in the locality scope later. We compare our scheme with existing schemes under the total signaling cost and the service delay time by using a discrete analytical model for cost analysis. Analytical results demonstrated that the total signaling cost and service delay time was significantly reduced through our proposed scheme.