• Title/Summary/Keyword: 재원일

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Development of Finance Sharing Criteria for Metropolitan BRT Infrastructure (광역BRT시설의 재원분담기준 개발)

  • Kim, Sung-Eun;Kim, Si-Gon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1D
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    • pp.71-80
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    • 2012
  • Metropolitan transport demand has increased in Seoul Metropolitan Area (SMA) due to the expansion of its role and land use. Various public transport modes have to be supplied to relieve road congestions for the convenience of users. During the constructions of theses infrastructures some conflicts between the central government and local governments arise for sharing financial resources. In this study finance sharing criteria is developed for the metropolitan BRT, transfer facility, and public garages. Finally, a case study has been done for the metropolitan BRT between Cheongra and Hwagok area in SMA.

A Study on Evaluation of the Appropriateness of Hospitalization for Patients with Stroke (뇌졸중 환자의 재원 적절성 평가에 관한 연구)

  • Choi, Eun-Mi;Yoo, In-Sook
    • 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.

A study on the variation of severity adjusted LOS on Injry inpatient in Korea (손상입원환자의 중증도 보정 재원일수의 변이에 관한 연구)

  • Kim, Sung-Soo;Kim, Won-Joong;Kang, Sung-Hong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.6
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    • pp.2668-2676
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    • 2011
  • In order to analyze the variation in length of stay(LOS) of injury inpatients, we developed severity-adjusted LOS model using Korean National Discharge In-depth Injury Survey data of Center for Disease Control. Appling this model, we calculated predicted values and, after standardizing LOS using the differences from the actual values, analyzed the variation in LOS. Major factors affecting severity-adjusted LOS of injury inpatients were found to be severity, surgery(or no surgery), age, injury mechanism and channel of hospitalization. Result of analysis of the differences between the actual values and predicted values adjusted by decision tree model suggested that there were statistically significant differences by hospital size(number of beds), type of insurance and location of institution. In order to reduce the variation in LOS, efforts should be exerted in developing nationwide treatment protocol, inducing medical institutions to utilize it, and furthermore systematically evaluating it to reduce the variation continually.

정보화시대의 국방획득관리 발전방향(3)

  • Lee, Sang-Gyeong
    • Defense and Technology
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    • no.1 s.299
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    • pp.30-41
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    • 2004
  • 국방획득사업은 정보화.과학화된 첨단 군사력을 건설하기 위해서 막대한 재원이 소요되는 반면, 군사력 건설에 필요한 재원확보 여건은 매우 어려운 실정이기 때문에 제한된 가용재원을 투자하여 획득사업을 효율적으로 추진하는 것이 무엇보다 중요하다. 국방분야는 이제 소요결정, 획득사업관리 등에서 과거의 비효율적 요소들이 모두 개선되어야하며 진정으로 국가와 군이 필요로 하는 무기체계를 경제적으로 획득하여야 한다.

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Discussion for Securing Self-Reliant Finance of Local Government Using Public Data (공공데이터를 활용한 지자체 자주재원 확보 논의)

  • Seo, Hyung-Jun
    • 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.

The Plan of Funds Expansion for Fire Services to Fix Safe Environment (안전문화정착을 위한 소방재원 확충방안)

  • Choi, Nag-Soon
    • Fire Science and Engineering
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    • v.20 no.1 s.61
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    • pp.83-97
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    • 2006
  • Recently, it is imperatively necessary to expand fire services funds for providing high quality of fire services. This study is to propose the plan of funds expansion for fire services to cope with a hefty increase of fire services demands in a local autonomous entity era. As alternatives of funds expansion, the study suggests the increase of fire public facilities tax rate and extracting new funds by establishing local government firms such as fire hospitals and fire repair firms. In addition, the study also proposes establishing a new common fire facilities tax, imposing fire services tax on gas tax, imposing public facilities tax on electricity tax, and transferring fire services expense to a local autonomous entity.

Factors Influencing the Length of Stay Ischemic Heart Disease Utilizing Medical Information (의료정보를 활용한 허혈성 심장질환의 재원일수에 영향을 미치는 요인 분석)

  • Park, Ji-Kyeong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.10
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    • pp.354-362
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    • 2017
  • Due to population aging and westernized lifestyle, ischemic heart diseases are increasing, and Korea has one of the highest lengths of stay for ischemic heart diseases. Since the increase in the length of stay is a major cause of the increase in medical expenses, it is necessary to prepare a plan to manage the length of stay. Accordingly, this study was conducted to identify the factors influencing the length of stay of ischemic heart disease, and provide the elementary resources necessary for the management of the length of stay. The study subjects were 566 ischemic heart disease patients of a tertiary hospital. As the result of the study, first, the number of inpatients with chest pain as the chief complaint was the largest. Second, the average length of stay was 4.89 days, and the length of stay varied depending on the type of ischemic heart disease. Third, the age of over 75 years, diabetes, and dyspnea were the factors increasing the length of stay. Therefore, for management of adequate length of stay for ischemic heart disease, it is important to prevent the progression of illness through blood sugar control for ischemic heart disease patients with diabetes. Also, it is necessary to prepare a system where patients can visit hospitals as fast as possible if they have any symptoms.

Development of severity-adjusted length of stay in knee replacement surgery (무릎관절치환술 환자의 중증도 보정 재원일수 모형 개발)

  • Hong, Sung-Ok;Kim, Young-Teak;Choi, Youn-Hee;Park, Jong-Ho;Kang, Sung-Hong
    • Journal of Digital Convergence
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    • v.13 no.2
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    • pp.215-225
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    • 2015
  • This study was conducted to develop a severity-adjusted LOS(Length of Stay) model for knee replacement patients and identify factors that can influence the LOS by using the Korean National Hospital Discharge in-depth Injury Survey data. The comorbidity scoring systems and data-mining methods were used to design a severity-adjusted LOS model which covered 4,102 knee replacement patients. In this study, a decision tree model using CCS comorbidity scoring index was chosen for the final model that produced superior results. Factors such as presence of arthritis, patient sex and admission route etc. influenced patient length of stay. And there was a statistically significant difference between real LOS and adjusted LOS resulted from health-insurance type, bed size, and hospital location. Therefore the policy alternative on excessive medical utilization is needed to reduce variation in length of hospital stay in patients who undergo knee replacement.

Development of Predictive Model for Length of Stay(LOS) in Acute Stroke Patients using Artificial Intelligence (인공지능을 이용한 급성 뇌졸중 환자의 재원일수 예측모형 개발)

  • Choi, Byung Kwan;Ham, Seung Woo;Kim, Chok Hwan;Seo, Jung Sook;Park, Myung Hwa;Kang, Sung-Hong
    • 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.