• The Journal of the Korea Contents Association
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• v.11 no.11
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• pp.274-285
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• 2011

This study deals with an analysis into the details of medical treatment and expenses by items of treatment as well as the factors related to the ratio between the medical treatment and expenses for 1583 patients who were hospitalized in and discharged from 2 general hospitals located at a city under the coverage of car insurance during the year 2009. As a result, there was statistically significant difference in the details of medical treatment and expenses by items of treatment as well as their composition ratio depending on the individual characters as sex, age and the number of days staying in hospital. Each medical institution should conduct a close analysis of its patients under the car insurance program as well as the factors related to medical expenses with a view to utilize them as basic data for mapping out plans for effective operation of its organization in consideration of the characters as a medicalinstitution.

• Health Policy and Management
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• v.34 no.1
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• pp.26-37
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• 2024

Background: The purpose of this study was to compare and analyze the differences in charges and length of stay per case between spine specialty hospitals and non-specialty hospitals, and to identify the factors that influenced them. Methods: This study used claims data from the Health Insurance Review and Assessment Service, including inpatient visits from January 2021 to December 2022. The healthcare facility status data was used to identify the characteristics of study hospitals. Multilevel analysis was conducted to identify factors associated with the charges and Poisson regression analysis was conducted to analyze the length of stay between spine specialty hospitals and non-specialty hospitals. There were 32,015 cases of spine specialty hospitals and 17,555 cases of non-specialty hospitals. Results: For four of five common spinal surgeries, specialty hospitals shaped longer length of stay than those of non-specialty hospitals. Multilevel and Poisson regression analysis revealed that regardless of the type of surgery, higher age and higher Charlson comorbidity index scores were significantly associated with an increase in both the charges per case and length of stay (p<0.05). However, when hospitals were located in metropolitan areas, there was a significant decrease (p<0.05). Conclusion: This study found that specialty hospital had higher inpatient charges and loner length of stay contrary to the previous study results. Further studies will be needed to find which contribute to the differences.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.2
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• pp.401-410
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• 2017

This study aimed to identify appropriateness and efficiency in the DRG payment system by analysing the hospital length of stay and changes in fees before and after the application of DRG payment system. The subjects of the study were a total of 398 patients consisting of 204 for the fee for service system and 194 for the DRG payment system. They received surgery in the Obstetrics and Gynecology (OBGY) department of a general hospital in G metropolitan city between January and December 2013. The mean hospital length of stay was significantly decreased after application of the DRG payment system(p=0.013). Total fees, insurance charges, and deductions increased significantly(p<0.001), and non-payment charges and total deductions decreased significantly(p<0.001). Application of the DRG payment system reduced length of stay, non-payment charges and total patient's cost sharing and increased out-of-pocket, insurance charges, and total fees.

• Korea Journal of Hospital Management
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• v.22 no.4
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• pp.33-49
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• 2017

Background: Health care utilizations and costs of the patients with degenerative lumbar spine disease in Korea increased dramatically. We analyzed whether hospital market competition is associated with charges and length of stay for patients with degenerative lumbar spine disease. Methods: We used Medical claims data of 2002 and 2010 from the nationwide representative sample of National Health Insurance Service of Korea. The study subjects were inpatients with degenerative lumbar spine disease (N=24,768) in 2002 and 2010. We employed a multilevel linear mixed model that included patient- and hospital-level variables in hierarchical data. Results: Higher hospital competition was associated with lower charges (${\beta}=57.5$, p<.0001 in 2002; ${\beta}=353.7$, p<.0001 in 2010) and shorter length of stay (${\beta}=0.3$, p<.0001 in 2002; ${\beta}=0.9$, p<.0001 in 2010) in both 2002 and 2010. Compared to 2002, the magnitude of such association became greater in 2010. However, subgroup analyses show that the influence of competition on charges and length of stay differed by hospital size. Conclusions: This study showed that hospital market structure (e.g., hospital competition) affects hospital efficiency (i.e., hospital charges and length of stay). It is necessary to continue to monitor how changing market structure influences hospital outcomes, including more detailed outcomes such as patient satisfaction.

• Journal of agricultural medicine and community health
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• v.44 no.4
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• pp.195-208
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• 2019

Objectives: The purpose of this study was to analyze whether there are differences in medical expenses according to medical security type in the use of medical services with high disease burden such as coronary intervention. Methods: Chi-square test and covariance analysis(ANCOVA) were conducted to identify the differences in the characteristics and costs according to medical security type of 1,904 patients who underwent coronary intervention in a university hospital from 2011 to 2012. Hierarchical regression analysis was conducted to determine whether the cost affects medical expenses. Results: In the medical aid group, the proportion of women, those without a job, those without a spouse, and those who received hemodialysis was high, length of stay was high, patients using the emergency room and those who died was high. The medical aid patients were significantly higher in the non-benefit medical expenses, optional medical expenses, physician and admission, meals, medications and injections. National health insurance patients were significantly higher in procedure. The medical security type was found to be significant as a variable affecting the medical expenses. Conclusions: Provision of medical expenses should be managed in advance by providing prevention and education services for the vulnerable, and care services in the region should be provided to suppress the occurrence of medical expenses due to the increase in the number of days spent. In addition, it is necessary to support medical expenses to prevent unsatisfactory medical services from occurring for non-benefit and optional care.

• Journal of the Korean hospital association
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• v.21 no.4 s.193
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• pp.57-61
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• 1992

이 글은 경희대 행정대학원 병원행정 전공 석사학위 논문의 요약이다. <편집자>

• Journal of Korea Entertainment Industry Association
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• v.14 no.6
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• pp.201-208
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• 2020

The purpose of this study was to analyze the claim data of Health Insurance Review & Assessment Service to determine what factors affected the length of stay in patients aged 65 and older and undergoing total knee arthroplasty due to the principal diagnosis of gonarthrosis by the type of medical institutions. As a result of making an analysis, gender, age, medical security type, severity, residential area and the number of sickbeds were identified as the factors that influenced the length of stay in each type of medical institutions. At this point in time when an increase in the elderly population triggered by population aging and another subsequent increase in medical expenses put a heavy strain on household and national economy, it's necessary to consider how to shorten the length of stay and how to ensure the efficient management of sickbeds based on the findings of this study. In addition, this study is of significance in that it could be used as basic data on quality life-care for elderly patients by the introduction of a systematic management system geared toward lessening patient burden for medical expenses.

• 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.

• 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.

• 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.