• Parasites, Hosts and Diseases
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• v.57 no.6
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• pp.635-638
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• 2019

Horace N. Allen, an American physician, was a Presbyterian missionary to Korea. In 1886, he wrote the annual report of the Korean government hospital, summarizing patient statistics according to outpatient and inpatient classification for the first ever in Korean history. In the report, he speculated that hemoptysis cases of outpatient might have been mainly caused by distoma. Allen's conjecture was noteworthy because only a few years lapsed since the first scientific report of paragonimiasis. However, he was not sure of his assumption either because it was not evidently supported by proper microscopic or post-mortem examinations. In this letter, we thus revisit his assumption with our parasitological data recently obtained from Joseon period mummies.

• Health Policy and Management
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• v.13 no.1
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• pp.98-115
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• 2003

Concerns about growing health insurance expenditures became a national Issue in 2001 when the National Health Insurance went into a deficit. Increases in spending for ambulatory care shared the largest portion of the problem. Methods and systems to control the spending should be developed and a system to measure case mix of providers is one of core components of the control system. The objectives of this article is to examine the feasibility of applying Korean Diagnosis Related Groups (KDRGs) to classify health insurance claims for ambulatory care and to identify problem areas of the classification. A database of 11,586,270 claims for ambulatory care delivered during January 2002 was obtained for the study, and the final number of claims analyzed was 8,319,494 after KDRG numbers were assigned to the data and records with an error KDRG were excluded from the study. The unit of analysis was a claim and resource use was measured by the sum of charges incurred during a month at a department of a hospital of at a clinic. Within group variance was assessed by th coefficient of variation (CV), and the classification accuracy was evaluated by the variance reduction achieved by the KDRG classification. The analyses were performed on both all and non-outlier data, and on a subset of the database to examine the validity of study results. Data were assigned to 787 KDRGs among 1,244 KDRGs defined in the classification system. For non-outlier data, 77.4％ of KDRGs had a CV of charges from tertiary care hospitals less than 100％ and 95.43％ of KDRGs for data from clinics. The variance reduction achieved by the KDRG classification was 40.80％ for non-outlier claims from tertiary care hospitals, 51.98％ for general hospitals, 40.89% for hospitals, and 54.99% for clinics. Similar results were obtained from the analyses performed on a subset of the study database. The study results indicated that KDRGs developed for a classification of inpatient care could be used for ambulatory care, although there were areas where the classification should be refined. Its power to predict tile resource utilization showed a potential for its application to measure case mix of providers for monitoring and managing delivery of ambulatory care. The issue concerning the quality of diagnostic information contained in insurance claims remains to be improved, and significance of future studies for other classification systems based on visits or episodes is guaranteed.

• Health Policy and Management
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• v.18 no.4
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• pp.66-84
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• 2008

Objectives: This study aimed to. offer some fundamental evidences for the stroke management policy by investigating the trends of medical care utilization and regionalization in stroke inpatients. Methods: We used the National Health Insurance claims and registry data for stroke inpatients from 1998 to 2005. Among all stroke inpatient claims data, self-employed insured and their dependents were only included in this study. The classification of stroke was based on ICD-10(I60-I69) and its subtype was divided by hemorrhage(I60-I62) and infarction(I63-I64) type. To evaluate regionalization of medical care utilization, relevance index was calculated by regions. The regions were classified 8 large catchment areas and 163 self authorized areas. Results: The overall medical care utilization rate of stroke inpatient has been increased, especially infarction subtype. Among medical care institutions, the utilization of hospital has been the most rapidly increased. Although considered annual rate of interest, total medical cost of stroke inpatients has been increased, Totally, more than 84% of stroke inpatient were admitted to medical care institutions in their own large catchment area during 1998-2005. The relevance indices in their own large catchment area (self sufficiency rates) were more than 70% in most areas regardless of stroke subtype except Chungbuk catchment area. Self sufficiency rates of stroke inpatients among 163 self authorized areas in 1998 and 2005 were 84.2% and 83.1% in metropolitan, 46.7% and 45.5% in urban, and 19.5% and 22.6% in rural areas, respectively. Conclusion: Stroke management policy for improvement of distribution at the district level, especially in rural areas, may be helpful for reducing regional inequality in stroke.

• Korea Journal of Hospital Management
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• v.25 no.3
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• pp.14-28
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• 2020

Purpose: The purpose of this study was to calculate the total daily nursing workload and the optimum number of nurses per intensive care unit (ICU) based on the nursing intensity and the direct nursing time per inpatient using the patient classification. Methods: Two ICUs at one general hospital were investigated. To calculate the nursing intensity, patient classification according to the nursing needs was conducted for 10 days in each unit during September 2018. We performed patient classifications for a total of 167 patient-days in the Medical Intensive Care Unit (MICU) and 86 patient-days in the Surgical Intensive Care Unit (SICU). The total number of person-days for nurses who responded to the Nursing Time survey was 151 for MICU and 85 for SICU. In each unit, direct and non-direct nursing hours, nursing intensity score, and direct nursing hours were analyzed using descriptive statistics such as frequency, percentage, and average calculated using Microsoft Excel. The amount of nursing workload and the optimum number of nurses were calculated according to the formula developed by the authors. Findings: For the MICU, the average direct nursing time per patient was 5.59 hours for Group 1, 6.98 hours for Group 2, and 9.28 hours for Group 3. For the SICU, the average direct nursing time per patient was 5.43 hours for Group 1, 7.21 hours for Group 2, 9.75 hours for Group 3, and 12.82 hours for Group 4. Practical Implications: This study confirmed that the appropriate number of nurses was not secured in the nursing unit of this study, and that leisure time such as meal time during nursing work hours was not properly guaranteed. The findings suggest that to create working environments where nurses can serve for extended periods of time without compromising their professional standards, hospitals should secure an appropriate number of nurses.

• Korean Journal of Biological Psychiatry
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• v.27 no.1
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• pp.18-26
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• 2020

Objectives The aim was to find effective vectorization and classification models to predict a psychiatric diagnosis from text-based medical records. Methods Electronic medical records (n = 494) of present illness were collected retrospectively in inpatient admission notes with three diagnoses of major depressive disorder, type 1 bipolar disorder, and schizophrenia. Data were split into 400 training data and 94 independent validation data. Data were vectorized by two different models such as term frequency-inverse document frequency (TF-IDF) and Doc2vec. Machine learning models for classification including stochastic gradient descent, logistic regression, support vector classification, and deep learning (DL) were applied to predict three psychiatric diagnoses. Five-fold cross-validation was used to find an effective model. Metrics such as accuracy, precision, recall, and F1-score were measured for comparison between the models. Results Five-fold cross-validation in training data showed DL model with Doc2vec was the most effective model to predict the diagnosis (accuracy = 0.87, F1-score = 0.87). However, these metrics have been reduced in independent test data set with final working DL models (accuracy = 0.79, F1-score = 0.79), while the model of logistic regression and support vector machine with Doc2vec showed slightly better performance (accuracy = 0.80, F1-score = 0.80) than the DL models with Doc2vec and others with TF-IDF. Conclusions The current results suggest that the vectorization may have more impact on the performance of classification than the machine learning model. However, data set had a number of limitations including small sample size, imbalance among the category, and its generalizability. With this regard, the need for research with multi-sites and large samples is suggested to improve the machine learning models.

• Korean Journal of Occupational Health Nursing
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• v.17 no.1
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• pp.86-95
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• 2008

Purpose: The objectives for this study are to produce the comprehensive management indexes and find their application strategies for appropriate medical care in primary care clinics under workers' compensation insurance. Method: Data of this study was workers' compensation insurance medical fees claim's data from July 2006 to June 2007. Data were analyzed using SAS 9.1 version by applying descriptive statistics and Pearson's correlation. The indexes such as costliness index(CI), standard medical fee were calculated based on the fourth revision of korean classification of diseases(KCD-4.). Results: The CI, visiting index(VI), outliers index(OI), and medical review adjustment percentage were positively correlated in the both inpatient and outpatient medical fees in primary care clinics under workers' compensation insurance. The major medical specialities were neurological surgery, general medicine, general surgery, rehabitational medicine, and orthopedic surgery. The CIs were slightly high in rehabitational medicine among major medical specialities. The CIs were mostly high in diagnosis, test, anesthesia, and rehabitational assistive device fees among major medical specialities. The CIs were slightly high in Kwangju, Daegu, Daejeon, and Busan districts among district management centers of Korea Workers' Compensation and Welfare Service. Conclusions: We suggest the continuous development of appropriate disease classification system and medical care quality indicators to successfully take root the comprehensive management for appropriate medical care under workers' compensation.

• Perspectives in Nursing Science
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• v.5 no.1
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• pp.33-43
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• 2008

Objective: This study explored the reuse of data captured into an electronic nursing record system using the International Classification for Nursing Practice to support nursing research of inpatient's falls. Methods: Risk factors relevant to inpatients falls ;n an acute setting were identified from the literature review. Four risk assessment tools and two risk identification studies were selected. To examine the availability of coded data in an electronic nursing record system for the identified fall fisk factors, we reviewed 11.319 hospital-day records of 118 patients who were reported by the self-report system. Results: We identified 24 fall risk factors of five categories from the literature review, which were used to identify the standard nursing statements addressing fall risks. One hundred thirty five nursing statements were searched from the hospital's nursing data dictionary of statements and were matched with 14 fall fisk factors. Using the 135 statements. we found that mental status, catheter of drip in situ, abnormal gait, insomnia, surgical procedure. and dizziness/vertigo appeared frequently in the nursing records of inpatients with fall s. Also we found 6 risk factors more through the record review. Conclusion: The electronic records would be a good research source for inpatients' falls. Specifically international classification for nursing practice based nursing record system has the potential for promoting clinical researches.

• Journal of Sasang Constitutional Medicine
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• v.5 no.1
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• pp.67-85
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• 1993

The Purpose of this study was to evaluate the reliability and the validation of four scales of Questionnaire for Sasang Constitution Classification (QSCC), newly constructed through statistical item analysis and to examine their diagnostic discrimination power. QSCC was administered to 105 inpatient at Kyung-Hee Oriental Medicine Hospital and local oriental clinics and 136 undergraduated students. 2 weeks later, QSCC was readministered to 220 same subjects. Data were collected during about 2 months from february to Apr. 20, 1992. For the purposes of this study, the collected data were analyzed by internal consistancy, test-retest reliability, ANOVA, Pearson correlation and discrimination analysis of spss pc+ v3.0 program. The results were as follows: 1. The reliability of four scales of QSCC was relatively favorable. The internal consistancy and test-retest reliability of Tae-Yaung-In(太陽人) scale were respectively Cronbach's ${\alpha}=0.9$ and r=0.89. Those of So-Yaung-In(少陽人) scale were respectively ${\alpha}=0.81$ and r=0.93. Those of Tae-Em-In(太陰人) scale were respectively ${\alpha}=0.72$ and r=0.74. Those of So-Em-In(少陰人) scale were respectively ${\alpha}=0.81$ and r=0.93. 2. The diagnostic discrimination abilities(Hit-ratio=56%)of QSCC were found to have more about 20% improvement than propotional chance criteria(37%). Especially, Hit-ratios for So-Yaung-In(63%) and Tae-Em-In(60%) were more high than that for So-Em-In(48%) 3. For male subjects, the construct validity of QSCC was founded to be relatively favorable. But that of QSCC for females was poor.

• Health Policy and Management
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• v.11 no.3
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• pp.31-45
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• 2001

With an economic development and epidemiologic transition, the burden of disease due to chronic diseases and accidents is increasing. However, in most of developing countries, long-term care facilities are not available, therefore acute care facilities should provide both acute and long-term care services. It is also true in Korea. The demand for long-term care services needs to be estimated to establish the adequate supply system of health resources. This article introduces the reclassification methodology of inpatients' healthcare utilization to acute and long-term care services. All discharged patients from hospitals for one month were analyzed. The distribution of inpatients' hospital days were fitted to Chi-squared distribution by ICD disease categories, and they were grouped in five clusters. For each cluster, the lower and upper limit of classification criteria to acute and long-term care services were chosen. Summarizing all hospital days corresponding to acute and long-term care respectively, 24 to 28 percent of inpatient services fumed out to be long-term care services. The study results are consistent with those of the existing studies. They can be used practically in the allocation of long-term care resources.

• The Korean Journal of Health Service Management
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• v.12 no.1
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• pp.81-93
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• 2018

Objectives : This cross-sectional study aims to investigate the differences in general health status (GHS) and physical care burdens (PCB) of inpatient groups in long-term care hospitals (LTCH). Methods : The data of 228 patients were analyzed by integrating the electronic medical record (EMR) data of 2016, recorded by the nurses of hospitalized patients in the hospital. Results : There was a statistically significant difference in the GHS between the high-medical demand group and the other groups, but there was no difference in the GHS among other groups. The overall PCB was higher in the high-medical demand group than in the middle-medical demand, and cognitive impairment groups, but not in the problem behavioral group. Conclusions : The current classification of patient groups has shown limitations in terms of the basis of differential benefits of the groups. In particular, the PCB of the problem behavior group was not different from that of any group; hence, it should be adjusted through further study. To control the surge of medical care costs, it is necessary to improve the irrationality of the LTCH pay system in terms of the integration and continuity for elderly care.