• Journal of Preventive Medicine and Public Health
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• v.11 no.1
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• pp.123-127
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• 1978

The major objective of this research is to identify those hospital characteristics that best explain cost variation among hospitals and to formulate linear models that can predict hospital costs. Specific emphasis is placed on hospital output, that is, the identification of diagnosis related patient groups (DRGs) which are medically meaningful and demonstrate similar patterns of hospital resource consumption. A casemix index is developed based on the DRGs identified. Considering the common problems encountered in previous hospital cost research, the following study requirements are estab-lished for fulfilling the objectives of this research: 1. Selection of hospitals that exercise similar medical and fiscal practices. 2. Identification of an appropriate data collection mechanism in which demographic and medical characteristics of individual patients as well as accurate and comparable cost information can be derived. 3. Development of a patient classification system in which all the patients treated in hospitals are able to be split into mutually exclusive categories with consistent and stable patterns of resource consumption. 4. Development of a cost finding mechanism through which patient groups' costs can be made comparable across hospitals. A data set of Medicare patients prepared by the Social Security Administration was selected for the study analysis. The data set contained 27,229 record abstracts of Medicare patients discharged from all but one short-term general hospital in Connecticut during the period from January 1, 1971, to December 31, 1972. Each record abstract contained demographic and diagnostic information, as well as charges for specific medical services received. The 'AUT-OGRP System' was used to generate 198 DRGs in which the entire range of Medicare patients were split into mutually exclusive categories, each of which shows a consistent and stable pattern of resource consumption. The 'Departmental Method' was used to generate cost information for the groups of Medicare patients that would be comparable across hospitals. To fulfill the study objectives, an extensive analysis was conducted in the following areas: 1. Analysis of DRGs: in which the level of resource use of each DRG was determined, the length of stay or death rate of each DRG in relation to resource use was characterized, and underlying patterns of the relationships among DRG costs were explained. 2. Exploration of resource use profiles of hospitals; in which the magnitude of differences in the resource uses or death rates incurred in the treatment of Medicare patients among the study hospitals was explored. 3. Casemix analysis; in which four types of casemix-related indices were generated, and the significance of these indices in the explanation of hospital costs was examined. 4. Formulation of linear models to predict hospital costs of Medicare patients; in which nine independent variables (i. e., casemix index, hospital size, complexity of service, teaching activity, location, casemix-adjusted death. rate index, occupancy rate, and casemix-adjusted length of stay index) were used for determining factors in hospital costs. Results from the study analysis indicated that: 1. The system of 198 DRGs for Medicare patient classification was demonstrated not only as a strong tool for determining the pattern of hospital resource utilization of Medicare patients, but also for categorizing patients by their severity of illness. 2. The wei틴fed mean total case cost (TOTC) of the study hospitals for Medicare patients during the study years was $11,27.02 with a standard deviation of $117.20. The hospital with the highest average TOTC ($1538.15) was 2.08 times more expensive than the hospital with the lowest average TOTC ($743.45). The weighted mean per diem total cost (DTOC) of the study hospitals for Medicare patients during the sutdy years was $107.98 with a standard deviation of $15.18. The hospital with the highest average DTOC ($147.23) was 1.87 times more expensive than the hospital with the lowest average DTOC ($78.49). 3. The linear models for each of the six types of hospital costs were formulated using the casemix index and the eight other hospital variables as the determinants. These models explained variance to the extent of 68.7 percent of total case cost (TOTC), 63.5 percent of room and board cost (RMC), 66.2 percent of total ancillary service cost (TANC), 66.3 percent of per diem total cost (DTOC), 56.9 percent of per diem room and board cost (DRMC), and 65.5 percent of per diem ancillary service cost (DTANC). The casemix index alone explained approximately one half of interhospital cost variation: 59.1 percent for TOTC and 44.3 percent for DTOC. Thsee results demonstrate that the casemix index is the most importand determinant of interhospital cost variation Future research and policy implications in regard to the results of this study is envisioned in the following three areas: 1. Utilization of casemix related indices in the Medicare data systems. 2. Refinement of data for hospital cost evaluation. 3. Development of a system for reimbursement and cost control in hospitals.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.4
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• pp.17-24
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• 2009

The purpose of this research is to find the reasons of overcrowding in the emergency department of an hospital, then to shorten the total stay time of patients. The fact that main causes of the overcrowding exist in the process of the emergency department was discovered by analysis of the data. In order to improve these process, simulation model was developed by ARENA 7.0. Staff's service time, staff's organization, process ratio, and patient's waiting time were estimated in the simulation model in consideration of the decision of the patient's course of action. Several scenarios such as the simplification of the process, the setup of dedicated pathology lab, and mixed method were suggested and evaluated. Total stay time of the patients would be reduced up to 28.45%.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.31-44
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• 2011

The objectives of this study were first to inspect the background information of an incentive pay system in hospitals, which provide specialized services for the public, the current status of hospitals with the system, as well as effects produced by introducing it, and then to come up with measures to invigorate the system. According to the findings of a survey, a total of 123 out of 150 hospitals responded that they applied the system to their HR management, some fully or some partially, which accounts for 82.0 percent. This study suggested that the following strategies to invigorate the incentive pay system: having a clear objective when adopting the system; concerted performance targets; practical yet worth challenging business objectives; transparent information disclosure; and establishing a confidence-building system between labor and management. Mutual trust between labor and capital should be a key factor for the successful implementation of the incentive pay system.

• Journal of the Korean Dietetic Association
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• v.8 no.4
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• pp.387-397
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• 2002

Foodservice information systems management practices were assessed in hospital foodservice operations. A total of 46 dietetic departments were responded for the study and their practices of foodservice information systems were analyzed. The respondents were questioned about general characteristics of respondents as well as hospital foodservices implementation status of information systems. Statistical data analysis was completed using the SPSS package program for descriptive analysis, factor analysis, t-test and ANOVA test. 43.2% of total respondents gained informations by benchmarking of other hospital foodservice operations, but 7.8% gained through career education. They expected the enhanced efficiency of their tasks through implementing information systems. Based on factor analysis, information systems were divided into 6 management areas such as database management, meal management, nutrition management, purchasing management, production management and foodservice management. The average implementing scores were : database management 3.77, meal management 3.26, nutrition management 3.52, purchasing management 3.26, production management 2.73 and foodservice management 3.70 (score 1 indicates very poor and score 5 is very good). Among database management areas, standard recipe database and food item specifications database build-up scores(3.91) were relatively very high, but meal assessment and foodservice management reporting scores(2.43) were very low. The results suggest that it is necessary to build up automated foodservice management reporting system for the improvement of efficiency and productivity of operational tasks.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.4
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• pp.401-414
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• 2005

Purpose: This study was to evaluate the utilization of health care service and to provide supportive data for health care policy making in one urban area in Korea. Method: This study tested the significance of public health service using the database of an university hospital and public health center from Feb. 2000 to Dec. 2004. Data were analyzed by multidimensional analysis and data mining technique and produced the information on the classification of utilization characteristics by main disease and the total cost of use and disease association with the users of the public health center. Results: The Results were as follows: 1) Top 10 diseases in the area accounted for 22.4% of total frequency for the most recent 5 years in university hospital, while 59.0% in public health center. 2) There were significant correlations between university hospital and public health center user's insurance type and place of residence: It showed higher use of public health center for free service beneficiaries residing in Seoul than residents in nearby or local area. The medical insurance types for hospital users were more various than those for public health center users. 3) The use of hospital for patients of hypertension, diabetes mellitus and hyperlipidemia was tended to concentrate in mostly autumn and winter since August 2000, while the cost of using public health center for those patients has been steadily reduced since July 2000. 4) As a result of cluster analysis, there were classified into three homogeneous groups according to the total cost of using public health service, age, and the frequency of use. 5) The association analysis on patients with chronic disease in public health center produced a detailed information on accompanying diseases related to the incidence rate of disease of high frequency due to aging, information on drug abuse and immune disease. Conclusion: The health care policy for local community should be evaluated continuously. And the policy to build an integrated data warehousing by public health indicator system and to enhance the faithfulness of data is required.

• Journal of agricultural medicine and community health
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• v.14 no.1
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• pp.16-29
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• 1989

The general objective of this study is to grasp the treatment expenses of common diseases by character of medical care institutions. The specific objective is to find out the treatment expenses for selected common diseases by type of medical care institutions and also by level of symptom. A record review method was employed to obtain required information for the analysis of expenses. A total of 40,000 cases treated by 85 medical care institutions were selected by the study team during the period 22 June to 14 July 1988. The 85 medical care institutions were sampled by stratified proportionate random sampling method. The major findings obtained from the information collected by the study team are as follows ; 1) Treatment expenses were composed of physical examination, medication, injection anesthesia, rehabilitation surgical intervention, lab test, X-ray and diagnosis. The highest expenses was for medication, accounted for 36.7% of the total: 13.9%, injection; Lab, tests respectively: 10.5%, physical examination : 8.6% surgical intervention; 7.9% admission : 6.3%, X-ray and diagnosis: 1.5%, rehabilitation. 2) Treatment expenses per case of common diseases were quite different from not only type of medical care institutions, such as university hospital, general hospital, hospital and clinic, but also from level of symptom. 3) Treatment expenses per case for the aged were higher than that of the young. The treatment cases for over 60 years of age accounted for 19.4% of the total, however the proportion of treatment expenses accounted for 23.8% of the total. 4) Duration of treatment and visits for same diseases varied from type of medical cara institutions. Based on these study findings, the following further research should be conducted: (1) Establishment of health care delivery system. (2) Feasibility of the development of health care programme for the aged. (3) Strengthening for primary health care approach.

• Herbal Formula Science
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• v.25 no.2
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• pp.135-143
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• 2017

Objectives : This trial aimed to determine if Wasong (Orostachys japonicus) extract can enhance immune system and is safe enough to be approved as a health functional food. Methods : Total 62 people, aged 45 and older, will be recruited to participate in a randomized, double-blind, placebo-controlled clinical trial. This study will compare Wasong extract and placebo. Wasong group will take 1g of Wasong extract, once a day, for 8 weeks. Placebo group will take 1g of crystalline cellulose as placebo, once a day, for 8 weeks. Outcomes will be measured at the baseline, the end of 4th week, and 8th week. Primary outcomes are the ratio of NK cells/total lymphocytes and the ratio of T-helper cells/T-suppressor cells. Secondary outcomes are total white blood cell count, the ratio of neutrophils, lymphocytes, and monocytes in total leukocytes, the ratio of total T cells, T-helper cells, T-suppressor cells, and B cells to lymphocytes, the amount of blood IgM, IgG, IgA, and cytomegalovirus (CMV) IgG, and blood metabolite target &global analysis. Results : This trial was approved by institutional review board of Pusan National University Korean Medicine Hospital (registry number: 2016006), and registered in Clinical Research information Service, one of WHO International Clinical Trials Registry Platform (registry number: PRE20161006-002). Recruitment opened in February 2017 and is supposed to be completed by August 2017. The result is expected to be published by June 2018. Conclusion : This trial will provide clinical information to determine the efficacy and safety of Wasong in enhancing immune system of middle-aged and older people.

• Fire Science and Engineering
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• v.24 no.1
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• pp.64-71
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• 2010

Records of 255 patients was analyzed statistically according to the contents of the record form. T patients' records were collected through the visit of emergency department in one hospital by the 119 Emergency Medical Services system from January 1 to February 8, 2009. In conclusion, the total entry was the investigation of 119 ambulance run report in 62.1% of subjects. The highest record of receiving hospital item was 100.0% and the lowest record of medical control item was 0.4% of subjects. Increasing the entry of 119 ambulance run report in efficient emergency medical information delivery media needed to suggest that increasing the number of specialists on the staff, medical staffs have an active interest and feedback, rule to item arrangement of prehospital ambulance run report, continuous education in the importance of record.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.1
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• pp.259-263
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• 2015

Background: In the field of cancer, the ICD-10 coding convention is based on the site of a neoplasm in the body and usually ignores the morphology, thus the same code may be assigned to tumors of different morphologic types in an organ. Nowadays, all general (provincial) and center hospitals in Thailand are equipped with the hospital information system (HIS) database. Objective: This study aimed to find the characteristics and magnitude of agreement represented by the positive predictive value (PPV) of provisional cancer diagnoses in the HIS database in Pattani Hospital in Thailand in comparison with the final cancer diagnosis of the ICD-10 codes generated from a well established cancer registry in Songklanagarind Hospital, the medical school hospital of Prince of Songkla University. Materials and Methods: Data on cancer patients residing in Pattani province who visited Pattani Hospital from January 2007 to May 2011 were obtained from the HIS database. The ICD-10 codes of the HIS computer database of Pattani Hospital were compared against the ICD-10 codes of the same person recorded in the hospital-based cancer registry of Songklanagarind Hospital. The degree of agreement or positive predictive value (PPV) was calculated for each sex and for both sexes combined. Results: A total of 313 cases (15.9%) could be matched in the two databases. Some 222 cases, 109 males and 113 females, fulfilled the criteria of referral from Pattani to Songklanagarind Hospitals. Of 109 male cancer cases, 76 had the same ICD-10 codes in both hospitals, thus, the PPV was 69.7% (95%CI: 60.2-78.2%). Agreement in 76 out of 113 females gave a PPV of 67.3% (95%CI: 57.8-75.8%). The two percentages were found non-significant with Fisher's exact p-value of 0.773. The PPV for combined cases of both sexes was 68.5% (95%CI: 61.9-74.5%). Conclusions: Changes in final diagnosis in the referral system are common, thus the summary statistics of a hospital without full investigation facilities must be used with care, as the statistics are biased towards simple diseases able to be investigated by available facilities. A systematic feedback of patient information from a tertiary to a referring hospital should be considered to increase the accuracy of statistics and to improve the comprehensive care of cancer patients.

• Journal of Biomedical Engineering Research
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• v.15 no.3
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• pp.333-340
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• 1994

Laboratory information system (LIS) is a key tool to manage laboratory data in clinical pathology. Our department has developed an information system for routine hematology using down-sized computer system. We have used an IBM 486 compatible PC with 16 MB main memory, 210 MB hard disk drive, 9 RS-232C port and 24 pin dot printer The operating system and database management system were SCO UNIX and SCO foxbase, respectively. For program development, we used Xbase language provided by SCO foxbase. The C language was used for interface purpose. To make the system use friendly, pull-down menu was used. The system connected to our hospital information system via application program interface (API), so the information related to patient and request details is automatically transmitted to our computer. Our system interfaced with two complete blood count analyzers (Sysmex WE-8000 and Coulter STKS) for unidirectional data transmission from analyzer to computer. The authors suggests that this system based on down-sized computer could provide a progressive approach to total LIS based on local area network, and the implemented system could serve as a model for other hospital's LIS for routine hematology.