• Health Policy and Management
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• v.27 no.1
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• pp.30-38
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• 2017

Background: This study aims to analyze the behavioral changes of healthcare providers and influencing factors after the reviewer unification of auto insurance medical benefit claims by an independent review agency. Methods: The comparison data were collected from the second half of 2013 and the same period of 2014. The key indicators are the number of admission days, the number of outpatient visits, inpatient ratio, inpatient medical expenses, and outpatient medical expenses. Results: Four indicators (number of admission days, number of outpatient visits, inpatient ratio, and outpatient medical expenses) showed statistically significant drops, while one indicator (inpatient medical expenses) showed no significant change. Conclusion: The reviewer unification of auto insurance medical benefit claims by an independent review agency showed significant reduction in cost and patient days.

• Journal of Korean Society of Forest Science
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• v.95 no.5
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• pp.551-555
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• 2006

This research was conducted to estimate the use and preservation values of Jirisan national park, using a dichotomous choice contingent valuation. Jirisan national park was estimated to have the use value of 6,377 won per visitor. In terms of preservation value was estimated 13,030 won per housed per year. The results of this research show that Jirisan national park generated considerable use and preservation values, exceeding far greater than current admission fees. The findings also indicate that the estimated economic value provides enough justification for the national park service to increase admission fees in order to maintain the quality of the natural environment. This result may contribute to guidance on the pricing policy of national park managers and practitioners, although public policy may be made in the political arena.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.435-447
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• 2019

In order to prevent unnecessary re-admission, it is necessary to intensively manage the groups with high probability of re-admission. For this, it is necessary to develop a re-admission prediction model. Two - year discharge summary data of one university hospital were collected from 2016 to 2017 to develop a predictive model of re-admission. In this case, the re-admitted patients were defined as those who were discharged more than once during the study period. We conducted descriptive statistics and crosstab analysis to identify the characteristics of rehospitalized patients. The re-admission prediction model was developed using logistic regression, neural network, and decision tree. AUC (Area Under Curve) was used for model evaluation. The logistic regression model was selected as the final re-admission predictive model because the AUC was the best at 0.81. The main variables affecting the selected rehospitalization in the logistic regression model were Residental regions, Age, CCS, Charlson Index Score, Discharge Dept., Via ER, LOS, Operation, Sex, Total payment, and Insurance. The model developed in this study was limited to generalization because it was two years data of one hospital. It is necessary to develop a model that can collect and generalize long-term data from various hospitals in the future. Furthermore, it is necessary to develop a model that can predict the re-admission that was not planned.

• Journal of Digital Convergence
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• v.14 no.4
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• pp.387-396
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• 2016

Admission Officer System in humanities course is settled and is obtaining good results. On the other hand, Admission Officer System in natural world course has an insufficient results in study achievement section comparing other admission type. To resolve this problem, Admission Officer system in natural world course has to reflect basic academic ability of mathematics and science. Also, after entering university to increase the basic academic ability follow-up service is positively necessary.

• Journal of Practical Agriculture & Fisheries Research
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• v.17 no.1
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• pp.101-111
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• 2015

The purpose of this study is to identify any differences in academic records of students after they got into the Korea National College of Agriculture and Fisheries through the entrance exam. The target group was the students of 1,035 who enrolled from the year of 2012 to 2014 by the exams respectively, and this study compared those first year's records. As a result, this study found that their academic achievements have no significant differences statistically. With regard to the result, we could recognize that the average achievements of students are arithmetically high, who were accepted by admission officer's interview(talented students of agriculture and fisheries) and regular admission procedure to which the scholastic test result is applied. Accordingly, it is more desirable that we should rather focus on measures to improve the admission procedure that could contribute to academic achievements of students who are mostly accepted through the nonscheduled admission. It is pointless to focus on discussion that the achievement of students selected by a particular procedure is low. That kind of criticism proved groundless. Secondly, the study of the correlation between their admission records and after admission records of the freshmen in 2012 shows that a significant difference does not exist whereas those of in 2013 and 2014 has a slightly different statistically, though a coefficient of correlation was a mere 0.17. It account for this result that KNCAF has increased the applied-rate of highschool transcript from 33.3% to 50.0.% in admission procedure from the year of 2013. However, lowering the applied-rate of farming and fishing background is not everything as we consider the graduates' easy settling into rural area. It is a well-known fact that after graduation, the majority of students who have applied for a grace period of the delay in performing the obligation of farming and fishing, and of students who have paid the school expenses back came from ones with no sufficient foothold. This means that we should formulate a supporting policy for the students to settle into rural area smoothly after graduation if we keep the regulation of lowing the applied-rate of farming and fishing.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.127-133
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• 2019

A callable product is one of service derivatives using options to generate demand and reduce risk. This paper compares two booking admission controls for callable products, the online and the batch admission controls. To this end, the paper computes the optimal booking policy by using the backward dynamic programming and the stochastic optimization method. Intuitively, the provider should outperform under the batch control by utilizing demand information. The contribution of the paper is to show that the two controls are equivalent in terms of the booking strategy and the expected profit, which enables the provider to keep its current control method. The paper develops the closed-form solutions for the three fare classes. The future work is to extend the result to the model with complicated fare structures.

• ETRI Journal
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• v.37 no.5
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• pp.917-921
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• 2015

We consider a multiserver system with two classes of customers with preemption, which is a widely used system in the analysis of cognitive radio networks. It is known that the optimal admission control for this system is of threshold type. We express the expected total discounted profit using the total number of customers, thus reducing the stochastic optimization problem with a two-dimensional state space to a problem with a one-dimensional birth-and-death structure. An efficient algorithm is proposed for the calculation of the expected total discounted profit.

• Health Policy and Management
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• v.21 no.4
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• pp.541-564
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• 2011

This study aimed to investigate health outcome of acute myocardial infarction (AMI) patients such as mortality and length of stay in hospital and to identify factors associated with the health outcome according to the comorbidity index. Nation-wide representative samples of 3,748 adult inpatients aged between 20-85 years with acute myocardial infarction were derived from the Korea National Hospital Discharge Injury Survey, 2005-2008. Comorbidity index was measured using the Charlson Comorbidity Index (CCI). The data were analyzed using t-test, ANOVA, multiple regression, logistic regression analysis in order to investigate the effect of comorbidity on health outcome. According to the study results, the factors associated with length of hospital stay of acute myocardial infarction patients were gender, insurance type, residential area scale, admission route, PCI perform, CABG perform, and CCI. The factors associated with mortality of acute myocardial infarction patients were age, admission route, PCI perform, and CCI. CCI with a higher length of hospital stay and mortality also increased significantly. This study demonstrated comorbidity risk adjustment for health outcome and presented important data for health care policy. In the future study, more detailed and adequate comorbidity measurement tool should be developed, so patients' severity can be adjusted accurately.

• Journal of Korea Multimedia Society
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• v.7 no.9
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• pp.1273-1281
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• 2004

There have been a number of researches on real-time packet scheduling based on EDF algorithm to support end-to-end delay bound guarantees for real-time traffic transmission. However, EDF-based packet scheduler could not guarantee the real-time requirements of real-time traffic if there exist non-real-time traffic. In this paper, we propose a new admission control algorithm and packet scheduling scheme considering non-real-time traffic in the real -time packet scheduler based on EDF policy. Proposed admission control algorithm has pseudo-polynomial time complexity, but we show through simulation that it can be used with little run-time overhead.

• Journal of Information Processing Systems
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• v.2 no.2
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• pp.107-113
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• 2006

It is essential to guarantee a handoff dropping probability below a predetermined threshold for wireless mobile networks. Previous studies have proposed admission control policies for integrated voice/data traffic in wireless mobile networks. However, since QoS has been considered only in terms of CDP (Call Dropping Probability), the result has been a serious CBP (Call Blocking Probability) unfairness problem between voice and data traffic. In this paper, we suggest a new admission control policy that treats integrated voice and data traffic fairly while maintaining the CDP constraint. For underprivileged data traffic, which requires more bandwidth units than voice traffic, the packet is placed in a queue when there are no available resources in the base station, instead of being immediately rejected. Furthermore, we have adapted the biased coin method concept to adjust unfairness in terms of CBP. We analyzed the system model of a cell using both a two-dimensional continuous-time Markov chain and the Gauss-Seidel method. Numerical results demonstrate that our CAC (Call Admission Control) scheme successfully achieves CBP fairness for voice and data traffic.