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Young Moon Chae 7 Articles
A methodological study on simplifying claims review system in medical insurance.
Suk Il Kim, Hyung Gon Kang, Han Joong Kim, Young Moon Chae, Myongsei Sohn, Myung Keun Lee
Korean J Prev Med. 1995;28(3):640-650.
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  • 22 Download
AbstractAbstract PDF
After the introduction of National Medical Insurance in 1989, the medical demand has rapidly increased. The impact of increased medical demand was followed by an increase in the number of claims in need of review. We studied a new, fair method for reducing the number of claims reviewed. we analysed 90,583 outpatient claims submitted between september and october; claims were made for services given August of 1994. We finally suggested a screening system for claims review using a statistical method of discriminant analysis of the medical costs. The results were as follows. 1. In the cut-off group, age, days of medication, number of hospital or clinic visits, and total change were significantly high The cut-off rates according to the hospital-type and existence of accompanied disease were significantly different. 2. According to ICD, the cut-off rate was highest in peripheral enthesopathies and allied syndromes(20.76%), lowest in acute sinusitis(0.93%). The mean charges were significantly different according to ICD and existence of cut-off. 3. we build discriminant functions by ICD with such discriminant variables as patient age, sex, existence of accompanied disease, number of hospital or clinic visits, and 9 detailed hospital or clinic charges included in claim. 4. we applied the discriminant function for screening those claims that were expected to be cut-off. The sensitivities comprised from 40% to 70%, and specificities from 70% to 95% by ICD. Acute rhinitis had highest sensitivity(100.00%)and other local infections of skin and subcutaneous tissue had highest specificity(98.45%). The excepted number of cut-off was 17,762(19.61%). The total sensitivity was 49.62%, the total specificity was 82.57% and the error rate was 19.66%. We lacked economic analysis such as cost-benefit analysis. But, if the few method of screening claims using discriminant analysis were applied, the number of claims in need of review will reduce considerably.
Summary
Economic analysis of order communication system for hospitals.
Young Moon Chae, Hae Jong Lee, Chang Rae Park
Korean J Prev Med. 1991;24(4):473-484.
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  • 24 Download
AbstractAbstract PDF
Hospitals have been very susceptable to changes in external environment. Accordingly, they have been experiencing great financial difficulty due to low insurance rates and increasing competition. As a remedy, hospitals have attempted to use computer in a strategic manner. Such system is called strategic information system (SIS) , and order communication system (OCS) is an example of SIS in hospital setting. While OCS has known to be effective in reducing waiting time for outpatients, many hospitals are reluctant to introduce this system mainly because there are no real data or methods for justifying the cost of the system. Cost-benefit analysis has been traditionally used for such purpose, but this method deals with limited portion of benefits and therefore not very useful for analyzing the economic feasibility of SIS. In this paper, information economics tools which expand cost with value was used to analyze the economic feasibility of OCS. To assist the analysis, financial simulation model was developed using simulation package, called IFPS (Interactive Financial Planning System).
Summary
A Development and Application of Decision Support System for Cost Analysis.
Young Moon Chae, Hae Jong Lee, Chang Rae Park, Jee Sun Jeong
Korean J Prev Med. 1990;23(1):65-76.
  • 1,680 View
  • 23 Download
AbstractAbstract PDF
Hospitals are experiencing an increasing amount of financial difficulty due to government control of hospital rates since national health insurance has been implemented. The decision support system(DSS) was developed to provide cost and revenue information for the services rendered by each department in an effect to reduce costs. This information may be used to identify the causes of financial loss if cost exceeds revenue and to conduct variance analysis or portfolio analysis to improve financial situation of hospitals. The DSS was developed using a micro-mainframe interface approach where the mainframe computer collects and summarizes daily cost and revenue data and the micro computer computes the cost for each department. The significances of this paper are to determine the cost allocation basis and methods which are suitable to Korean situation and to apply DSS technology to the cost analysis.
Summary
A Study on the Efficient Management of Long-term Inpatient Flow in a General Hospital.
Chun Bae Kim, Young Moon Chae, Seung Hum Yu, Hee Chul Oh
Korean J Prev Med. 1990;23(1):11-21.
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  • 23 Download
AbstractAbstract PDF
This study refers to the problem of long-term inpatient flow in a general hospital. In this study, a queueing simulation model was developed for the two departments in the hospital with a homogenous case mix and relatively many long-term inpatients in order to increase the tumover rate and hospital charges. Before the simulation run, the model was verified by the Kolmogorov-Smirmov test. The following results were generated by three alternative models of the special bed policies. 1. Alternative I: When long term inpatients were admitted to the wards belonging to departments A and B without transfer to other departments and special beds, the average turn-over rate decreased by 2-4% and the average hospital charges decreased by 70 million won. 2. Alternative II: When long-term inpatients were transferred to department C but the transfer of wards was determined by department C in order of clinical need, the average turnover rate increased by 4-13% but the average hospital charges decreased by 30 million won. This result was not greatly different from the present state. 3. Alternative III: When long-term inpatients were transferred to the special wards and department C simultaneously, the increase in the average turnover rate and hospital charges was equivalent to the increase of two beds in the special wards. When the special wards were allocated 16 beds, the average turnover rate of departments A and B increased by about 55% and 20% respectively. Also, the hospital charges increased by about 0.44 billion won. As a result, trasfer to department C and the use of 16 beds in the special wards for long-term inpatients of departments A and B is expected to maximize the hospital revenue. However, as the above special bed policy can not increase the turnover rate above 60%, there is a need for a more comprehensive policy to further increase the rate. The development of an elaborate model should include the number of long-term inpatients in all clinical departments, the special wards system or an increase of hospital beds to handle admission needs, and the resources of the hospital by department. When the alternative are evaluated, a cost-benefit analysis in addition to the turnover rate and the hospital charges should be considered.
Summary
A Clinical Decision Support System for Diagnosis of Hearing Loss.
Young Moon Chae, In Yong Park, Seung Kyu Jung, Tae Young Chang
Korean J Prev Med. 1989;22(1):57-64.
  • 1,872 View
  • 28 Download
AbstractAbstract PDF
A decision support system (DSS) was developed to support doctor's decision-making in diagnosing hearing loss. The final diagnosis encompassed 41 diseases with the problem of hearing loss. The system was developed by integrating model-oriented DSS technique and artificial intelligence technology. The system can be used as both diagnosis tool and teaching tool for medical students. Furthermore, the Al technology obtained from this study may also be used in developing DSS for hospital management.
Summary
A Study on the Ratio Analysis as a Tool for Evaluating Financial Performance.
Young Moon Chae, Jung Hyun Yun, Hae Jong Lee
Korean J Prev Med. 1986;19(2):213-223.
  • 2,371 View
  • 69 Download
AbstractAbstract PDF
Ratio analysis allows a hospital to evaluate its own performance over time and to compare its performance with that of other hospitals. For this study, three types of ratio analysis were conducted based on some data on hospitals in Massachusetts. First, Key ratios influencing financial performance were identified using discriminant analysis. Second, the financial structures of the teaching and the non-teaching hospitals were compared using ratios and multiple comparison method. Third, the effects of the prospective reimbursement law of the state on financial performance were examined using ratios and paired t-test. The purpose of the law is to reduce hospital costs by setting the revenue ceiling prior to the effective budget year. The findings of this study were as follows: 1) When hospitals were divided into three groups, according to their operating income, only profitability ratios showed a consistent difference among the groups. 2) In the discriminant analysis, five ratios were selected: current ratio, operating margin, return on assets, fixed assets turnover, and inventory turnover. They are the key ratios to be monitored periodically for the purpose of evaluating the financial performance of hospitals. 3) When teaching hospitals were compared with non-teaching hospitals, acid ratio, days of cash on hand, and inventory turnover were statistically significant before the law went into effect, whereas only fixed assets turnover and inventory turnover were significant afterward. Contrary to previous studies, profitability ratios of teaching hospitals were higher than those of non-teaching hospitals, although the differences were not statistically significant. 4) When the ratios between the two periods (before and after the law) were compared, three profitability ratios (operating margin, return on assets, and return on equity) were significant for teaching hospitals, whereas three activity ratios (total assets turnover, fixed assets turnover, current assets turnover) were significant for non-teaching hospitals. Furthermore, while both total operating revenue and expenses were decreased, net operating income was increased, due to a greater decrease in total operating expenses. This shows that the law can indeed, simultaneously, achieve both a reduction in costs as well as improvement in the financial situation of hospitals.
Summary
A Simulation Model of a Outpatient Scheduling System.
Ki Hong Chun, Young Moon Chae
Korean J Prev Med. 1986;19(1):56-64.
  • 1,773 View
  • 22 Download
AbstractAbstract PDF
This paper describes a GPSS-based, multi-server queueing model that was developed to simulate the patient flow, and to analyze the effectiveness of the patient scheduling system under various conditions. Unpredictable and unacceptably long waits to receive the service at the outpatient department of a general hospital necessitated the study. Arrival and service time distribution needed for the simulation model were generated from actual arrival and service patterns observed during the peak hours. The simulation results show that a change in patient scheduling system (i.e. time interval between appointments, starting time, and the number of physicians) from a current system would significantly reduce the patient wait time. This study provides the hospital administrator with an analysis of patient scheduling system under several conditions, and will be used to plan future scheduling system and staffing. Studies such as this can demonstrate the value of simulation in providing information for use in future planning.
Summary

JPMPH : Journal of Preventive Medicine and Public Health