• Korean journal of communication and information
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• v.72
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• pp.121-145
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• 2015

The public broadcasting in Korea are currently financed primarily through license fees paid by anyone who holds a TV set. This paper aimed for other options; How can we have a stable cash flow for public broadcasting account for right incentives, lack of sufficient government intervention, efficiency and quality? As this paper shows, bringing taxes more efficient and fairer, while a solid foundation for the public broadcasting finance; combined with an incentive based payment system this may be a sensible alternative to the forthcoming poll tax.

• Journal of Digital Convergence
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• v.15 no.2
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• pp.273-283
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• 2017

This study aims to develop a convergence optimized LOS(Length of Stay) management system that can provide efficient by predicting LOS on outpatient information for inducing the LOS to manage their own activities. web program has been implemented to comput in real-time predicting LOS by using the predicted LOS model of outpatient information. The predict model was derived management targets of long term predicted patient group and intensive care patient group. The optimized LOS(Length of Stay) management system was confirmed efficient for optimizing management of LOS that can provide by the long-term predicting alarm and over LOS alarm service for long term predicted patient group and intensive care patient group. Therefore the trial operating policy alternative on extension of predicted LOS is needed to utilized convergence optimizing system on LOS.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.509-512
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• 2010

본 논문에서는 지방환자의 서울진료의 추이와 치료결과를 살펴보기 위해 2005년, 2008년의 퇴원환자 조사 자료를 재원일수를 이용하여 분석하였다. 그 결과 2005년 퇴원환자 333,280명과 2008년 퇴원환자 419,873명의 성별, 연령별, 주진단 분포는 유사한 것으로 나타났으며 치료결과 재원일수는 2005년에 30일 이상이 7.2%, 20~29일이 5.9%인데 비해 2008년은 30일이상이 6.2%, 20~29일 6.0%로 나타나 재원일수는 절감되었다. 전체퇴원환자의 재원일수에 영향을 끼치는 요인에 대해 회귀분석 결과 연도, 성, 보험유형, 의료기관유형, 입원경로, 내원 경유, 주진단, 거주지의 효과를 통제한 후 지방환자의 진료지역에 따른 재원일수를 살펴본 결과 서울이 가장 낮은 것으로 나타났다. 또한 암환자의 재원일수에 영향을 끼치는 요인에 대해서도 연도, 성, 보험유형, 의료기관유형, 입원경로, 내원 경우, 주진단, 거주지의 효과를 통제한 후 지방환자의 진료지역에 따른 재원일수를 살펴본 결과 서울이 가장 낮은 것으로 나타났다. 즉, 지방환가 거주지에서 진료를 받는 것에 비해 서울에서 진료를 받는 것이 치료결과가 짧았다. 이는 타 지역 진료의 간접의료비 영향으로 서울지역에서 조기 퇴원하여 거주지에서 진료하였거나 서울 진료자가 중증도가 낮은 환자가 많아 재원일수가 낮을 수 있다는 것도 배제 할 수 없다. 이에 대한 중증도 보정 후 서울 진료환자의 재원일수가 낮은 요인을 분석하는 추후 연구가 필요하다.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.89-99
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• 2015

This study aims to develop a LOS(Length of Stay) bench-making system that can provide efficient by comparing the LOS management of other hospital and level evaluation for inducing the LOS to manage their own activities. The convergence LOS bench-making web program has been implemented to compare a variety of beds, regional group, followed reporting with excel files downloads by using the severity-adjusted LOS model of Korean National Hospital Discharge in-depth Injury Survey data. Features that are computed in real-time severity-adjusted LOS was also implemented. Trial operating results, bench-making system was confirmed efficient for management of LOS on the long-term care and group of disease in hospital from the staff or medical department, receive requests comparative statistics by area and disease group. Therefore the policy alternative on extension of severity-adjusted LOS is needed to utilized bench-making system on LOS.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.233-240
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• 2012

This study aimed to clarify any factors that may have effect on the appropriateness of hospital admission and hospitalization with the intention of facilitating more efficient occupancy of hospital beds and better medical services in the aspect of their quality, minimizing unnecessary occupancy of beds, and ultimately helping patients requiring acute treatments to use immediately hospitals. This paper selected 154 Stroke patients who left neurology department of one general hospital from March, 1, 2006 to September, 31, 2010 as targets to meet the rate according to medical care security and to see the trend of recent 4 years. As study method, this paper analized medical treatment record with AEP to evaluate the appropriateness of hospital admission and stay and the collected data was computerized through SPSS 12.0. Based upon the results above, the conclusion was drawn that the higher appropriateness of hospital admission and the shorter length of hospital stay will lead to the higher appropriateness of hospitalization. In other words, it is required to provide hospitalized patients with all kinds of behaviors including medical treatments and nursing care service, management of pharmaceuticals, tests, rehabilitation and symptoms, as well as instructions and information for patients. Meanwhile, as it was found that the length of hospital stay may affect the appropriateness of hospitalization, the longer length of hospital stay may result in reduced bed turnover rate. In this light, it is necessary to organize a task force team responsible for evaluation and control of the appropriateness of hospitalization and hospital stay length to improve the quality of medical service in a medical center, so that patients can leave the center timely. Ultimately, governmental supports such as expansion of long-term care facilities will reduce the necessary length of hospital stay so that patients with stroke can receive rehabilitative treatments and long-term care service shortly after completion of acute treatments.

• The Journal of the Korea Contents Association
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• v.13 no.8
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• pp.314-323
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• 2013

This study analyzed the relationship between the level of hospital caseloads and length of stay for the delivery patients. The differences of hospital caseloads were measured by the Internal Herfindahl Index, which measured the concentration of delivery patient in a hospital. And the structure variables of hospitals such as the number of bed, the number of treatment, and the number of doctors and nurses per 100 beds were included as control variables. And average length of stay of delivery patients was used as the dependent variable. Concentration status of delivery patients was measured in two models: (1) first model represents the concentration level of delivery patient in all hospital patients, (2) second model represents the concentration level of delivery patient in all obstetrics and gynecology patients. In regression analysis, patient concentration index was not statistically significant in explaining the variation of average length of stay in two models. But the number of delivery patients and number of beds were statistically significant. The number of delivery patient variable showed negative regression coefficient with average length of stay and the number of beds showed positive coefficient with average length of stay. This study result indicated that the volume of delivery patients in a hospital will play a significant role in reducing the length of stay of delivery patients. Patient volume could contribute in improving the efficiency of patient care in a hospital.

• The Journal of the Korea Contents Association
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• v.15 no.4
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• pp.380-390
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• 2015

Because the local governments has closet contact for public services compared to central government, their role is important in the age when welfare issue is more important than before. So Local Public Finance being important than ever, but regrettably local financial issues related to the mostly negative. In particular, many local government face problem of local fiscal independence, as a result, they have hard time to secure financial resources. Reliant local finance by central government can be alternative, however, it causes negative effect for autonomous management of local finance and fiscal soundness. In this study, public data by public institutions is suggested as solution to secure financial resources. Although, utilization of public data is initial level, this paper deal with exploratory discussion for public data as self-reliant local finance with validity and suggestions.

• Journal of Digital Convergence
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• v.16 no.1
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• pp.231-242
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• 2018

The efficient management of the Length of Stay(LOS) is important in hospital. It is import to reduce medical cost for patients and increase profitability for hospitals. In order to efficiently manage LOS, it is necessary to develop an artificial intelligence-based prediction model that supports hospitals in benchmarking and reduction ways of LOS. In order to develop a predictive model of LOS for acute stroke patients, acute stroke patients were extracted from 2013 and 2014 discharge injury patient data. The data for analysis was classified as 60% for training and 40% for evaluation. In the model development, we used traditional regression technique such as multiple regression analysis method, artificial intelligence technique such as interactive decision tree, neural network technique, and ensemble technique which integrate all. Model evaluation used Root ASE (Absolute error) index. They were 23.7 by multiple regression, 23.7 by interactive decision tree, 22.7 by neural network and 22.7 by esemble technique. As a result of model evaluation, neural network technique which is artificial intelligence technique was found to be superior. Through this, the utility of artificial intelligence has been proved in the development of the prediction LOS model. In the future, it is necessary to continue research on how to utilize artificial intelligence techniques more effectively in the development of LOS prediction model.

• Journal of Digital Convergence
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• v.11 no.6
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• pp.221-233
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• 2013

This study aims to develop the severity-adjusted length of stay(LOS) model for acute stroke patients using data from the hospital discharge survey and propose management of length of stay(LOS) for acute stroke patients and using for Hospital management. The dataset was taken from 23,134 database of the hospital discharge survey from 2004 to 2009. The severity-adjusted LOS model for the acute stroke patients was developed by data mining analysis. From decision making tree model, the main reasons for LOS of acute stroke patients were acute stroke type. The difference between severity-adjusted LOS from the decision making tree model and real LOS was compared and it was confirmed that insurance type and bed number of hospital, location of hospital were statistically associated with LOS. And to conclude, hospitals should manage the LOS of acute stroke patients applying it into the medical information system.

• Fire Science and Engineering
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• v.21 no.2 s.66
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• pp.87-97
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• 2007

This study is to investigate the problems of procurement circumstance of the current fire service funds and to suggest the alternatives for procuring the fire service funds for dealing with increasing demand on the fire service in the local autonomous era. The results are as the followings. First, most fire service officers see the procurement circumstances as premature stage and perceive the necessity of the improvement of this condition. In particular, the officers at the fire center recognize this problem as an urgent question than the officers at the front fire branches. In addition, as for the alternatives of the procurement of fire service funds, both groups prefer the long term plan to the short term plan, and show positive responses to the National Emergency Management Agency and central government as the entity to raise fire funds. As for the alternatives to improve financial system, both groups show the most positive responses on the way to increase the current common facilities tax. As for the specific procurement alternatives of fire funds, both groups agree the alternative to increase common facilities tax mostly, and to the next they agree the alternative to insecure fire funds by restructuring current financial system and by establishing fire service hospital and fire equipment maintenance center.