• Health Policy and Management
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• v.22 no.1
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• pp.65-84
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• 2012

Because of the rising healthcare costs, there is a growing need for developing efficiency indicators for medical resources use and measuring efficiency of healthcare providers and healthcare systems using them. In this study, we aimed to develop efficiency indicators for medical resources use by means of Delphi technique. We systematically reviewed the existing measures of medical resource use. Thirty nine indicators were selected as a candidates across the six domains: medical personnel, medical equipment, medical facilities, ethical management, resource efficiency, and drug use. To develop efficiency indicators with professional consensus, a 2-round Delphi survey was conducted among 29 professional experts. The following indicators were selected based on the Delphi survey results: adjusted number of the patient per day and level of the nurse number medical personnel in medical personnel domain; the number of the scan a professional physician and the quality of the scan in medical equipment domain; bed utilization rate in medical facility domain; drug price reported pharmaceutical price by medical institutions, medical fee billing transparency, and medical care appropriateness in ethical management domain; costliness index in resource efficiency domain; and utilization of high cost drug and items per prescription in drug use domain. The efficiency indicators could provide valid information about efficiency of healthcare providers and healthcare systems with respect to their resources use and facilitate policies to improve their efficiency.

• Health Policy and Management
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• v.7 no.1
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• pp.125-154
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• 1997

The hospital, clinical department and the physician factor in explaining variations of hospital resource use in surgically admitted patients was compared. This analysis was based on 6, 361 discharges in 28 hospitals for three surgical conditions - lens procedures anal and stomal procedures, uterine and ovarian procedures using medical insurnce claim data. The results were as follows: 1. Regression analysis indicated that the hospital and clinical department characteristics, such as hospital ownership and size, were more significant predictors of the resource use indicators than the physician and patients' social characteristics. 2. Regarding to the physician factors, the hospital where the physician received the residency training and the medical shool where he/she graduated had less effect compared to the hospitals where he/she currently works. Between the residency trained hospital and medical school, the is more important than the latter. 3. When the hospital charges were divided into type of service provided i. e. room, drug, laboratory & radiologic, procedure & operation, and anesthesic charges, variance due to the hospital factor was larger than that due to the physician factor in each item. In summary, the hospital and clinical departmental factor played an important role than physician factor ; indicating to reduce the variation in hospital resource use, the policy that affects hospital behavior would be more effective than that targets individual physician behavior.

• Genomics & Informatics
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• v.17 no.2
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• pp.16.1-16.4
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• 2019

Medical Subject Headings (MeSH), a medical thesaurus created by the National Library of Medicine (NLM), is a useful resource for natural language processing (NLP). In this article, the current status of the Japanese version of Medical Subject Headings (MeSH) is reviewed. Online investigation found that Japanese-English dictionaries, which assign MeSH information to applicable terms, but use them for NLP, were found to be difficult to access, due to license restrictions. Here, we investigate an open-source Japanese-English glossary as an alternative method for assigning MeSH IDs to Japanese terms, to obtain preliminary data for NLP proof-of-concept.

• Korean Journal of Social Welfare
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• v.62 no.3
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• pp.83-108
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• 2010

This study aims to estimate the trajectory of outpatient medical service use and examine what factors are associated with the trajectory among older adults 60 and over with specific focuses on age variations. Using the first three waves of the Korean Welfare Panel Study data, the trajectory and predictors were examined through the Latent Growth Curve Modeling and age variations were examined through the Multi-group Comparison Analyses. The research model was developed based on the Anderson Model. The results showed that study participants tend to increase outpatient medical service use with years. Individuals 75 or younger presented a much faster increasing rate of medical service use than those 75 and over. Similar to the findings of the previous studies, most predisposing factors, resource factors, and needs factors were found to be associated with the trajectory of outpatient medical service use. Needs factors were more closely associated with the medical service use trajectory than resource factors. With regard to age variations in predictors, few significant age variations were found. Based on the finding of the study, implications and future research directions were discussed.

• Health Policy and Management
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• v.12 no.1
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• pp.21-53
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• 2002

The purpose of this study is to measure the resource use of the elderly in long-term care services and to examine the effects of patient and facility characteristics on their use of resources. The data were collected from 510 old people over sixty years of age, residing in five long-term care hospitals and two skilled nursing homes during the period between December 1, 2000 and February 28, 2001. For a full sample, when the first level of RUG(Resource Use Group)-III categories were employed as the proxy of patient severity, facility characteristics, such as location, size and ownership, have large effects on the resource use measured by service intensity, whereas patient characteristics such as severity have little or no effect. The resource use is significantly high if the facility: (1) is located in rural areas (gun): (2) has mare than 200 beds; (3) is a long-term care hospital; (4) is private; and (5) has a low percentage of medical aid patients. The analysis of the resource use in each RUG-III categories, for which ADL(Ability of Daily Living) were employed as the prosy of patient severity, shows a similar result. The loose relationship between the needs of residents and the resource use seems to be closely associated with the ineffective reimbursement system for providers. The current reimbursement system has no provision for quality improvement and reimburses facilities simply according to their types: fee-for-service for long-term care hospitals, and monthly-flat-rate or full-coverage-national-aid for skilled nursing facilities. It will be necessary to develop a more reasonable reimbursement system that takes patient's severity into account and gives incentives for long-term care providers to offer cost-effective services.

• Health Policy and Management
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• v.5 no.2
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• pp.202-229
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• 1995

In Korea, Resource-Based Relative Value Scale(RBRVS) is suggesting to the alternative of Korean Medical Fee Schedule. This study developed to methodology of RBRVS applicable to Korean situation and applied to services of internal medicine and general surgery. Our methodology of RBRVS is basically same to Hsiao's. But there are some differences between our method and H냐매's because Korean medical situation differs to American. The first difference is method of measurement of work. The Unit of work in our study is total work including intra-servic work and pre-/post-service work. Secondly, in extrapolation, we use primary data gathered to small group of physician. Tertially, in measurement of practice cost, we directly survey to budget data of hosptials and analyse practice costs by service. Some results are presented in a companion article.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.9
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• pp.3008-3028
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• 2022

In this paper, we investigate traffic scheduling for a delay-sensitive multi-hop relay network, and aim to minimize the priority-based end-to-end delay of different data packet via joint relay selection, subcarrier assignment, and power allocation. We first derive the priority-based end-to-end delay based on queueing theory, and then propose a two-step method to decompose the original optimization problem into two sub-problems. For the joint subcarrier assignment and power control problem, we utilize an efficient particle swarm optimization method to solve it. For the relay selection problem, we prove its convexity and use the standard Lagrange method to deal with it. The joint relay selection, subcarriers assignment and transmission power allocation problem for each hop can also be solved by an exhaustive search over a finite set defined by the relay sensor set and available subcarrier set. Simulation results show that both the proposed routing scheme and the resource allocation scheme can reduce the average end-to-end delay.

• Journal of Korean Academy of Nursing Administration
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• v.14 no.3
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• pp.229-240
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• 2008

Purpose: To develop the patient classification system based on the resource utilization for reimbursement of long-term care hospitals in Korea. Method: Health Insurance Review & Assessment Service (HIRA) conducted a survey in July 2006 that included 2,899 patients from 35 long-term care hospitals. To calculate resource utilization, we measured care time of direct care staff (physicians, nursing personnel, physical and occupational therapists, social workers). The survey of patient characteristics included ADL, cognitive and behavioral status, diseases and treatments. Major category criteria was developed by modified delphi method from 9 experts. Each category was divided into 2-3 groups by ADL using tree regression. Relative resource use was expressed as a case mix index (CMI) calculated as a proportion of mean resource use. Result: This patient classification system composed of 6 major categories (ultra high medical care, high medical care, medium medical care, behavioral problem, impaired cognition and reduced physical function) and 11 subgroups by ADL score. The differences of CMI between groups were statistically significant (p<.0001). Homogeneity of groups was examined by total coefficient of variation (CV) of CMI. The range of CV was 29.68-40.77%. Conclusions: This patient classification system is feasible for reimbursement of long-term care hospitals.

• Journal of Preventive Medicine and Public Health
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• v.26 no.2 s.42
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• pp.293-309
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• 1993

With expanded and extended coverage of the national medical insurance and fast growing health care expenditures, appropriateness of health service utilization and quality of care are concerns of both health care providers and insurers as well as patients. An accurate patient classification system is a basic tool for effective health care policies and efficient health services management. A classification system applicable to Korean medical information-Korean Diagnosis Related Groups (K-DRGs)-was developed based on the U.S. Refined DRGs, and the performance of the developed system was assessed in this study. In the process of the development, first the Korean coding systems for diagnoses and procedures were converted to the systems used in the definition of the U.S. Refined DRGs using the mapping tables formulated by physician panels. Then physician panels reviewed the group definition, and identified medical practice patterns different in two countries. The definition was modified for the differences in K-DRGs. The process resulted in 1,199 groups in the system. Several groups in Refined DRGs could not be differentiated in K-DRGs due to insufficient medical information, and several groups could not be defined due to procedures which were not practiced in Korea. However, the classification structure of Refined DRGs was retained in K-DRGs. The developed system was evaluated fur its performance in explaining variations in resource use as measured by charges and length of stay(LOS), for both all and non-extreme discharges. The data base used in this evaluation included 373,322 discharges which was a random sample of discharges reviewed and payed by the medical insurance during the five-month period from September 1990. The proportion of variance in resource use which was reduced by classifying patients into K-DRGs-r-square-was comparable to the performance of the U.S. Refined DRGs: .39 for charges and .25 for LOS for all discharges, and .53 for charges and .31 for LOS for non-extreme discharges. Another measure analyzed to assess the performance was the coefficient of variation of charges within individual K-DRGs. A total of 966 K-DRGs (87.7%) showed a coefficient below 100%, and the highest coefficient among K-DRGs with more than 30 discharges was 159%.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.4968-4979
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• 2011

The purpose of this study was to investigate the effects of Socioeconomic factors on medical information resources when medical consumer choose inpatient or outpatient services. The target population was 12,249 people aged above 19 in Chungcheongbuk-do. The sample was accrued for the period of 3 months in 2008 by face to face interview of direct visiting from systematic sampling method. There was a significant difference in the use of personal informer and public informer by sex(p<0.001). There was a significant difference in the use of experimental and professional informer by living area(p<0.001). In conclusion, the results suggest that there is relationship between medical information resource and socioeconomic factors of medical consumer.