17 research outputs found

    HL7๊ธฐ๋ฐ˜ ๋…ธ์ธ์žฅ๊ธฐ์š”์–‘๋ณดํ—˜ ๋“ฑ๊ธ‰ํŒ์ •์‹œ์Šคํ…œ ๋ชจํ˜• ๊ฐœ๋ฐœ

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    Objectives: The purposes of this study were to develop the HL7-based Classification System for the Long Term Care Insurance for the elderly in order to reduce classification errors and to reduce variations in classification among rating doctors. Specifically, the classification system was developed for the elderly who were eligible for the Long Term Care Insurance based on HL7 standards and eligibility criteria developed by the National Health Insurance Cooperative (NHIC). Methods: 38 cases that were actually reviewed by rating committee in May 2009 were selected from the classification data submitted to the long term care insurance unit at the D branch of NHIC on HL7. The system was designed by selecting 46 items from health insurance and NHIC criteria and IPI(Insurance Patient Information) message based on HL7 2.5 in order to transmit messages to other institutes. The system was analyzed and designed by DFD(Data Flow Diagram) and HIPO(Hierarchical Input, Process, Output). The system was evaluated through frequency analysis of system environment and rating data after calculating the 2nd grade by operating each module of HL7 message. Results: The results of this research were as follows: 38 cases submitted by doctors were 22 right cases and 16 wrong cases for the physical condition area; 27 right cases and 11 wrong cases in the area of mental state; and 26 right cases and 12 wrong cases in the area of independence of daily life. The number of cases whose grade was changed was 4: 1 case from 4th grade to 3rd grade, 2 cases from 3rd grade to 2nd grade and 1 case from 2nd grade to 1st grade. The cause of functional disorder for changing grade was 3 dementia and 1 bleeding. Conclusions: The model of the HL7-based Classification System for the Long Term Care Insurance for the elderly was designed to reduce classification errors and to reduce variations in classification among rating doctors. After the use of the model system, its usability was assessed.ope

    Evaluation of CDSS for Drug Prescriptions Based on Success Measures.

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    OBJECTIVE: The Clinical Decision Support System (CDSS) for drug prescriptions was developed by integrating the computerized physician order entry (CPOE) system to support doctors and pharmacists in making correct decisions on prescribing drugs in line with the prescription guidelines by the Health Insurance Review Agency (HIRA). The objective of this study was to evaluate the performance of the CDSS with respect to system quality, information quality, and user satisfaction in reducing prescription errors. METHODS: The study was based on survey data from 38 hospitals that were using the CDSS for drug prescriptions. To identify factors influencing the performance of CDSS, multiple linear regression and chi-square analyses were performed. RESULTS: Regression analysis showed that the variables for system quality and information quality significantly influenced the overall system performance. Specifically, ease of understanding the results and terminology assystem quality measures significantly influenced user satisfaction. Furthermore, based on chi-square analysis, two independent variables (ease of understanding results and decision support functions) were statistically significant with respect to all four dependent variables (information satisfaction, system satisfaction, willingness to recommend to other hospitals, and drug safety). CONCLUSION: Based on this study, users should be educated to improve their understanding of the system,and system and information quality should be continuously monitored to improve user satisfactionope

    A Stndy on the Intes t in a liza tion"

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    the stomach. It has been recognized since 1883 by Kiipffer. Its orgin and significance have been still not clearly understood. Two hypothesis have been proposed for the origin of intestinal type epithelium in the stomach. One suggests that the intestinal epithelium results from heterotopic tissue present at birth due to a residual embryonal cell or tissues. These cells or tissues differentiate and/or proliferate with disease (heterotโ€ข opia)6,52 ,58,78) The second theory, the more widely held, that the mucosal tissue is regenerated and/or differentiated to the intestinal epithelium as a result of chronic irritations which are not as a congenital one but acquired (metaplasia). The chraceteristics of intestinal elements in the stomach lining are 1) columnar cells, with a striated border on their free surface. 2) goblet cells , and 3) Paneth cells and/or argentaffin cells. The aberrent intestinal epithelium has been observed r in chronic inflammatory conditl6ns, peptic ulcer , carcinoma of stomach, polyp and other exert a destructive effect upon the gastric mucosa by many authors" 52,78. 88 2G. '0, G) It has been considered to be a premalignant conditions" 31. 52 ,78). This view is supported by the presence of metaplastic component such as striated cell borders'!) or enzyme characteristic of intestinal epithelium"). The other hand, its view is denied by some authors!5, GO) Recent electron microscopic studies have shown the abberrent epithelium to be identical in fine structure and histological arrangement with normal jejunal epithelium63 โ€ข 67) . In this aspect, like normal jejunal epithlium, the intestinalized gastric epithelium is able to transport dietary and micellar lipid from the bowel lumen into the adjacent lamina propria, in this manner more lipid can be detected in metaplastic epitheliumGG). Some authors induced the intestinal epithelium in the gastric mucosa experimentally by dietary carcinogen7), histamin8), toxic substance'G) or sclerosing compoundG). The frequency of intestinalization is various record in 11 to 100 per cent of the stomach specimen e~;amined. The author tried to recogniz of intestinalization of Korean adults by resected specimens on the view of relationships between the various gastric disease and metaplasia on clinical and pathological aspects. Following were the results: 1) In 50 cases of control stomachs obtained by autopsy in the present study, the following data were obtained. The intestinal metaplasia was recognized in 3 cases (6% ), of which 2 were combined with gastritis The fat droplet could not found in any cases. Mucosal atrophy was found in 3 cases and lymph follicle was 2 cases out of 6 cases with gastritis of autopsy specimens. 2) Intestinalization was found in the gastric mucosa in 193 cases (49.7%) out of 3S9 resected stomach group. 3) The greatest frequency of intestinal metaplasia was in the carcinoma of the stomach 56% followed by stomach ulcer 53%, polyp 50%. gastritis 38%

    LC/MS Data Analysis using Peak Clustering

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    Maste

    ์ˆ˜์ค‘ ์Œํ–ฅ ํŠธ๋žœ์Šค๋“€์„œ ๊ตฌ๋™์„ ์œ„ํ•œ ๋Šฅ๋™ ์†Œ๋‚˜ ์†ก์‹ ๊ธฐ์˜ ์ถœ๋ ฅ ๋ณด์ƒ ๊ธฐ๋ฒ•์— ๊ด€ํ•œ ์—ฐ๊ตฌ

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    Doctor์ˆ˜์ค‘ ์Œํ–ฅ ๋ฐฐ์—ด ํŠธ๋žœ์Šค๋“€์„œ์˜ ์ž„ํ”ผ๋˜์Šค ๋ณ€๋™ ์กฐ๊ฑด์—์„œ ๋Šฅ๋™ ์†Œ๋‚˜ ์‹œ์Šคํ…œ์˜ ์Œ์› ์ค€์œ„๋ฅผ ๊ทน๋Œ€ํ™”ํ•˜๋„๋ก ์†Œ๋‚˜ ์†ก์‹ ๊ธฐ์˜ ์„ค๊ณ„๊ฐ€ ํ•„์š”ํ•˜๋‹ค. ์†ก์‹ ๊ธฐ๋Š” ๋‹ค์ฑ„๋„์˜ ํŠธ๋žœ์Šค๋“€์„œ๋ฅผ ๊ฐœ๋ณ„ ๊ตฌ๋™ํ•˜๊ณ , ๋‹ค์–‘ํ•œ ์†ก์‹ ์‹ ํ˜ธ์™€ ์†ก์‹ ๋น”์„ ๊ตฌ๋™ํ•œ๋‹ค. ๊ทธ๋Ÿฌํ•œ ์ด์œ ๋กœ, ๋ฐฐ์—ด ํŠธ๋žœ์Šค๋“€์„œ์˜ ์ž„ํ”ผ๋˜์Šค ๋ถ„ํฌ๋Š” ์ปค์ง€๊ฒŒ ๋˜์ง€๋งŒ, ์‹ค์ œ ์†Œ๋‚˜ ์‹œ์Šคํ…œ์—์„œ๋Š” ์ด๋ฅผ ๊ตฌ๋™ํ•˜๋Š” ์†ก์‹ ๊ธฐ์˜ ์ •๊ฒฉ ์ „๋ ฅ์ด ์ œํ•œ๋œ๋‹ค. ๋ณธ ๋…ผ๋ฌธ์€ ์ž„ํ”ผ๋˜์Šค ๋ณ€๋™ ์กฐ๊ฑด์—์„œ ์š”๊ตฌ๋œ ์ง€ํ–ฅ ๋ฐฉ์œ„๋กœ ๊ณ ์ถœ๋ ฅ ์†ก์‹ ํ•˜๊ธฐ ์œ„ํ•œ ์†ก์‹ ๊ธฐ์˜ ํšจ๊ณผ์ ์ด๊ณ  ์•ˆ์ •์ ์ธ ์ถœ๋ ฅ ์ œ์–ด ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•œ๋‹ค. ์ œ์•ˆ๋œ ์ œ์–ด ๊ธฐ๋ฒ•์ด ์ ์šฉ๋  ์†ก์‹ ๊ธฐ ์„ค๊ณ„์— ์œ„ํ•˜์—ฌ, ํŠธ๋žœ์Šค๋“€์„œ์˜ ์ „๊ธฐ์  ๋“ฑ๊ฐ€ ๋ชจ๋ธ๋ง๊ณผ ์ž„ํ”ผ๋˜์Šค ์ •ํ•ฉ ๋ฐ ํ•„ํ„ฐ ํšŒ๋กœ๋ฅผ ์„ค๊ณ„ํ•œ๋‹ค. ๋“ฑ๊ฐ€๋ชจ๋ธ๋ง์—์„œ๋Š” PSO ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ธฐ๋ฐ˜์˜ ์ถ”์ • ๋ฐฉ๋ฒ•๊ณผ ๊ณต๊ธฐ์ค‘ ๋ฐ ์ˆ˜์ค‘์—์„œ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์ด์šฉํ•˜์—ฌ ์ถ”์ • ์˜ค์ฐจ๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ์ ํ•ฉ๋„ ํ•จ์ˆ˜๋ฅผ ์ ์šฉํ•œ๋‹ค. ์ •ํ•ฉ ํšŒ๋กœ๋Š” ์‹ค์ œ ์‹œ์Šคํ…œ์„ ๊ณ ๋ คํ•˜์—ฌ ๊ตฌ๋™์— ๋ถˆํ•„์š”ํ•œ ๋ฌดํšจ ์ „๋ ฅ๊ณผ ์ •ํ•ฉ ํŠธ๋žœ์Šคํฌ๋จธ์˜ ์žํ™” ์ธ๋•ํ„ด์Šค๋ฅผ ์ตœ์†Œํ™”ํ•˜๋Š” ์„ค๊ณ„ ํŒŒ๋ผ๋ฏธํ„ฐ๋“ค์„ ์ถ”์ •ํ•˜๋„๋ก ์„ค๊ณ„๋œ๋‹ค. ๋˜ํ•œ, ํ•„ํ„ฐ ํšŒ๋กœ๋Š” ํŠธ๋žœ์Šค๋“€์„œ์˜ ์ •ํ•ฉ ํšŒ๋กœ์™€ ๋“ฑ๊ฐ€ ํšŒ๋กœ ์†Œ์ž๋“ค์„ ๊ณ ๋ คํ•˜์—ฌ ์ถœ๋ ฅ ์‹ ํ˜ธ์˜ ๊ณ ์กฐํŒŒ ์„ฑ๋ถ„์„ ์ค„์ด๋„๋ก ์„ค๊ณ„๋œ๋‹ค. ์ œ์•ˆ๋œ ์ œ์–ด ๊ธฐ๋ฒ•๊ณผ ๊ด€๋ จํ•˜์—ฌ, ์ž„ํ”ผ๋˜์Šค ๋ณ€๋™ ๋ถ€ํ•˜๋ฅผ ๊ตฌ๋™ํ•˜๊ธฐ ์œ„ํ•œ ์ •์ „๋ ฅ ๋ฐ ์ •์ „์•• ์ œ์–ด์™€ ์ˆœ๊ฐ„ ์ „์•• ๋ฐ ์ „๋ฅ˜ ์ œ์–ด ๊ธฐ๋ฒ•๋“ค์„ ์ œ์•ˆํ•œ๋‹ค. ์†ก์‹ ๊ธฐ์˜ ์ถœ๋ ฅ ์ „๋ ฅ ๋ฐ ์ „์••์€ ์ž„ํ”ผ๋˜์Šค ๋ณ€๋™ ์กฐ๊ฑด์— ๋”ฐ๋ผ PWM ์‹ ํ˜ธ์˜ ๋ณ€์กฐ ์ง€์ˆ˜ ๋ณ€ํ™”๋ฅผ ํ†ตํ•ด ์ œ์–ด๋œ๋‹ค. ์ œ์•ˆ๋œ ์ œ์–ด ๊ธฐ๋ฒ•๋“ค์€ ๋ชจ์˜๋ถ€ํ•˜์™€ ์‹ค์ œ ๋ฐฐ์—ด ํŠธ๋žœ์Šค๋“€์„œ๋ฅผ ํ†ตํ•ด ๊ฒ€์ฆ๋œ๋‹ค. ์†ก์‹ ๋น” ํ˜•์„ฑ ์ •ํ™•๋„์— ์˜ํ–ฅ์„ ์ฃผ๋Š” ์œ„์ƒ ์ง€์—ฐ ์˜ค์ฐจ๋ฅผ ๋ณด์ƒํ•˜๊ธฐ ์œ„ํ•˜์—ฌ, ์œ„์ƒ ์ง€์—ฐ ์ œ์–ด ๊ธฐ๋ฒ•์„ ์ œ์•ˆํ•˜๊ณ  ๋ถ€ํ•˜ ์กฐ๊ฑด์— ๋”ฐ๋ฅธ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•ด ์ ์šฉ ๊ฐ€๋Šฅ์„ฑ์„ ํ™•์ธํ•˜์˜€๋‹ค.In the active sonar system, a study of the transmitter is required for maximizing the acoustic source level. For driving acoustic transducer array, the transmitter could individually drive multi-channel transducers for generating various signal types and beams. In the condition, the impedance distribution of the transducer array becomes large, and the power rating of the transmitter also increases for covering the impedance range. But the power and voltage of the transmitter are limited in the real sonar system. This thesis proposes the effective and stable output control methods of the transmitter for high power transmission toward a desired direction in the variable impedance condition. Before applying the proposed control method to the transmitter, design works which consists of the electrical equivalent modeling of the transducer, the design of the impedance matching, and the filter circuit are performed. In the equivalent circuit modeling, an estimation method based on PSO (particle swarm optimization) algorithm and a fitness function, are used for minimizing the estimation errors by utilizing the measured data in air and water. The matching circuit is designed to estimate the design parameters for minimizing the unnecessary reactive power and magnetizing inductance of the matching transformer. The filter circuit is designed to reduce the harmonics of the output signal considering the matching circuit and the equivalent circuit of the transducer. In the control, two methods are proposed for driving the variable impedance loads. One is the constant power & voltage control, and another is the instant voltage & current control method. The output power and voltage of the transmitter are controlled by changing the modulation index of PWM (pulse width modulation) according to the variable impedance conditions. The proposed control methods are verified by using a simulated load and real transducer array. To compensate the phase delay errors affecting the beamforming accuracy, the phase delay control method is proposed and is verified through the simulation according to the load conditions. As a result, the proposed controls can compensate the output power and the phase delay error caused by individually driving the transducer array

    Prediction of congestion sites in Pohang

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    1

    ์ƒ๊ด€์žˆ๋Š” ํญ๋ฐœ์  ๋™์—ญํ•™์˜ ์ƒ์„ฑ ๋ชจํ˜• ๋ฐ ๋ฐฉ๋ฒ•

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    DoctorIn various natural and social phenomena, temporal inhomogeneities have been observed. The events such as earthquakes, single neuron firings, solar flares, and human communications occur rapidly within short time periods and sparsely within long time periods. These phenomena is called bursts, primarily characterized in terms of scaling behaviors in the autocorrelation function with a decaying exponent ฮณ\gamma, the interevent time distribution with a power-law exponent ฮฑ\alpha, and the burst size distributions. Here the interevent time is defined as a time interval between two consecutive events in the event sequence, and the burst size denotes the number of events in a bursty train detected for a given time window. In order to understand such temporal scaling behaviors implying a hierarchical temporal structure, we devise a hierarchical burst model by assuming that each observed event might be a consequence of the multi-level causal or decision-making process. By studying our model analytically and numerically, we confirm the scaling relation ฮฑ+ฮณ=2\alpha+\gamma=2, established for the uncorrelated interevent times, despite of the existence of correlations between interevent times. Such correlations between interevent times are supported by the stretched exponential burst size distributions, for which we provide an analytic argument. In addition, by imposing conditions for the ordering of events, we observe an additional feature of log-periodic behavior in the autocorrelation function. Our generative modeling approach for the hierarchical temporal structure can help us better understand the underlying mechanisms behind complex bursty dynamics showing temporal scaling behaviors. After the generative modeling approach, we consider the generative method for correlated bursty dynamics. The memory coefficient is a measure for detecting the first order correlations between two consecutive interevent times. The conditional method is for generating single event sequences with controllable interevent time distribution and memory coefficient independently. Before our method, there are two different generative method: an annealing method and Gillespie method. Comparing the existing methods, the conditional method has advantage that we can control the correlations between interevent times directly through tuning the memory coefficient. When the memory coefficient is given as a parameter, we can uniquely determine the joint probability distribution under the condition of the proper upper bound for the memory coefficient. After calculating the joint probability distribution function and consequently the conditional cumulative distribution function, the interevent times are drawn from the inverse of the conditional cumulative distribution function under the condition that the previous interevent time is given. By repeating calculation of the conditional cumulative distribution function, we can obtain the ordered set of the interevent times with desirable memory coefficient. Here, we suggest the conditional method for two typical distribution functions: an exponential and a power-law distribution. Our generative method for single event sequences can help us better understand the efficient methodology for producing the correlated bursts.๋ณธ ๋…ผ๋ฌธ์€ ์ƒ๊ด€์žˆ๋Š” ํญ๋ฐœ์ ์ธ ๋™์—ญํ•™์„ ์ดํ•ดํ•˜๊ธฐ ์œ„ํ•ด ์‚ฌ๊ฑด ๊ฐ„ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ๊ฐ€ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ๊ฐ–๋Š” ์ƒ์„ฑ์ ์ธ ๊ณ„์ธต ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ณ , ์ฃผ์–ด์ง„ ๊ธฐ์–ต๊ณ„์ˆ˜์™€ ์‚ฌ๊ฑด ๊ฐ„ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ๋ฅผ ๊ฐ–๋Š” ๋‹จ์ผ ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์„ ์ƒ์„ฑํ•˜๋Š” ์กฐ๊ฑด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ „ํ™” ํ†ตํ™”, ๋ฌธ์ž ๋ฉ”์‹œ์ง€, ์ „์ž ๋ฉ”์ผ ๋“ฑ ์‚ฌ๋žŒ ์‚ฌ์ด์˜ ์ปค๋ฎค๋‹ˆ์ผ€์ด์…˜ ๋ฐ ํƒœ์–‘์˜ ํ”Œ๋ ˆ์–ด, ์ง€์ง„, ๊ทธ๋ฆฌ๊ณ  ๋‹จ์ผ ๋‰ด๋Ÿฐ์˜ ๋ฐœํ™”์— ์ด๋ฅด๊ธฐ๊นŒ์ง€ ๋งŽ์€ ์ž์—ฐ ํ˜„์ƒ์—์„œ ๋ฒ„์ŠคํŠธ ํ˜„์ƒ์ด ๋ฐœ๊ฒฌ๋˜์—ˆ๋‹ค. ๋ฒ„์ŠคํŠธ๋Š” ์‚ฌ๊ฑด์ด ํญ๋ฐœ์ ์œผ๋กœ ๋ฐœ์ƒํ•˜๋Š” ์‹œ๊ธฐ์™€ ์‚ฌ๊ฑด์ด ๊ฑฐ์˜ ๋ฐœ์ƒํ•˜์ง€ ์•Š๋Š” ์‹œ๊ธฐ๊ฐ€ ๋ฒˆ๊ฐˆ์•„๊ฐ€๋ฉฐ ๋‚˜ํƒ€๋‚˜๋Š” ํ˜„์ƒ์ด๋‹ค. ์ด๋กœ ์ธํ•ด ๋ฒ„์ŠคํŠธ ํ˜„์ƒ์—์„œ๋Š” ์‚ฌ๊ฑด ๊ฐ„ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ๊ฐ€ ๋ฉฑํ•จ์ˆ˜๋ฅผ ๋”ฐ๋ฅธ๋‹ค. ์ด๋•Œ ์ค‘์š”ํ•œ ๊ฒƒ์€ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ์‚ฌ์ด์˜ ์ƒ๊ด€์„ฑ์ธ๋ฐ, ํŠน์ • ๋ฌธํ„ฑ๊ฐ’์œผ๋กœ๋ถ€ํ„ฐ ์–ป์–ด์ง„ ๋ฒ„์ŠคํŠธ ํŠธ๋ ˆ์ธ ์•ˆ์˜ ์‚ฌ๊ฑด์˜ ๊ฐœ์ˆ˜์˜ ๋ถ„ํฌ์ธ ๋ฒ„์ŠคํŠธ ํฌ๊ธฐ ๋ถ„ํฌ๋กœ ์ƒ๊ด€๊ด€๊ณ„๋ฅผ ์•Œ ์ˆ˜ ์žˆ๋‹ค. ๋งŒ์•ฝ ๋ฒ„์ŠคํŠธ ๋ถ„ํฌ๊ฐ€ ์ง€์ˆ˜ํ•จ์ˆ˜์—์„œ ๋ฒ—์–ด๋‚œ ๊ผด์ด๋ผ๋ฉด ์ƒ๊ด€์„ฑ์ด ์žˆ๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ์‹ค์ œ ์‚ฌ๊ฑด๋“ค์ด ๊ณ„์ธต์ ์ธ ๊ตฌ์กฐ๋ฅผ ๊ฐ–๊ณ  ์žˆ๋‹ค๋Š” ์—ฌ๋Ÿฌ ์ฆ๊ฑฐ ํ•˜์— ๊ณ„์ธต์ ์ธ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜์—ฌ ์ƒ๊ด€์„ฑ์ด ์žˆ๋Š” ๋ฒ„์ŠคํŠธ ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์„ ์–ป์—ˆ๋‹ค. ์ด๋•Œ ์‚ฌ๊ฑด ์‚ฌ์ด์—๋Š” ํ”„๋ž™ํƒˆ ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง€๋ฉฐ, ๋ฉฑํ•จ์ˆ˜ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ์™€ ์ž๊ธฐ์ƒ๊ด€ํ•จ์ˆ˜๋ฅผ ์–ป์—ˆ๊ณ  ๊ฐ๊ฐ์˜ ๊ณ„์ˆ˜์ธ ฮฑ\alpha์™€ ฮณ\gamma ์‚ฌ์ด์— ฮฑ+ฮณ=2\alpha+\gamma=2๋ผ๋Š” ์Šค์ผ€์ผ๋ง ๊ด€๊ณ„๊ฐ€ ์„ฑ๋ฆฝํ•จ์„ ์ˆ˜์น˜์ ์œผ๋กœ ๋ฐํ˜”๋‹ค. ๋ฒ„์ŠคํŠธ ๋ถ„ํฌ๋Š” ๋Š˜์–ด๋‚œ ์ง€์ˆ˜ํ•จ์ˆ˜๋กœ์„œ ๋ฉฑํ•จ์ˆ˜์™€ ๋‹ค๋ฅธ ๋ถ„ํฌ๋ฅผ ์–ป์—ˆ๋Š”๋ฐ, ์ด๋ฅผ ์„ค๋ช…ํ•˜๊ธฐ ์œ„ํ•ด ์ˆ˜ํ•™์ ์ธ ๊ณ„์‚ฐ์„ ์ˆ˜ํ–‰ํ•˜์—ฌ ๋ฉฑํ•จ์ˆ˜ ์ˆ˜์ค€์˜ ๋‘๊บผ์šด ๊ผฌ๋ฆฌ๊ฐ€ ๋‚˜ํƒ€๋‚˜์ง€ ์•Š๋Š” ์ด์œ ๋ฅผ ๋‘ ๊ฒฝ์šฐ์˜ ํ™•๋ฅ  ๊ฐ’์„ ๋น„๊ตํ•˜์—ฌ ์„ค๋ช…ํ•˜์˜€๋‹ค. ์•ž์„œ ์–ธ๊ธ‰ํ•œ ์Šค์ผ€์ผ๋ง ๊ด€๊ณ„๋Š” ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ์‚ฌ์ด์˜ ์ƒ๊ด€๊ด€๊ณ„๊ฐ€ ์—†์„ ๋•Œ ์ด๋ก ์ ์œผ๋กœ ์„ฑ๋ฆฝํ•˜๋Š”๋ฐ, ๋Š˜์–ด๋‚œ ์ง€์ˆ˜ํ•จ์ˆ˜์˜ ๋ฒ„์ŠคํŠธ ๋ถ„ํฌ๋ฅผ ๊ฐ–๋Š” ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์—์„œ๋„ ๋งˆ์ฐฌ๊ฐ€์ง€๋กœ ์Šค์ผ€์ผ๋ง ๊ด€๊ณ„๊ฐ€ ์„ฑ๋ฆฝํ•จ์„ ๋ฐํ˜”๋‹ค. ๋˜ํ•œ ์ฃผ์–ด์ง„ ๋ชจ๋ธ์„ ๋ณ€ํ˜•ํ•˜์—ฌ ๋งŽ์€ ๊ฒฝ์šฐ๋ฅผ ์‚ดํŽด๋ณด์•˜๋‹ค. ๋จผ์ € ๋ชจ๋ธ์˜ ๊ฐ ์ธต์œ„์—์„œ ์‚ฌ๊ฑด์˜ ์‚ฌ์ด์˜ ๊ต์ฐจ๊ฐ€ ์žˆ๋Š” ๊ฒฝ์šฐ๋„ ์ด๋ฅผ ํ—ˆ์šฉํ•˜์ง€ ์•Š๋Š” ๊ฒฝ์šฐ์™€ ๊ฐ™์€ ๊ฒฐ๊ณผ๊ฐ€ ๋‚˜์˜ด์„ ๋ณด์˜€๋‹ค. ์ด๋•Œ ๊ณ„์ธต ๋ชจ๋ธ์˜ ํŠน์„ฑ ์ƒ ์ž๊ธฐ์ƒ๊ด€ํ•จ์ˆ˜๊ฐ€ ๋กœ๊ทธ ์ฃผ๊ธฐ์„ฑ์„ ๊ฐ€์ง์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋งค ๋‹จ๊ณ„๋งˆ๋‹ค ์‚ฌ๊ฑด์˜ ์ˆ˜๊ฐ€ ๋‘ ๋ฐฐ๊ฐ€ ์•„๋‹Œ ์„ธ ๋ฐฐ์™€ ๋„ค ๋ฐฐ๊ฐ€ ๋˜๋Š” ๊ฒฝ์šฐ, ๋ฐฉํ–ฅ์„ฑ์ด ์—†๋Š” ๊ฒฝ์šฐ, ๋งˆ์ง€๋ง‰ ์ธต์œ„์˜ ์‚ฌ๊ฑด ๋ฟ ์•„๋‹ˆ๋ผ ๋ชจ๋“  ์ธต์œ„์˜ ์‚ฌ๊ฑด์„ ๊ณ ๋ คํ•˜๋Š” ๊ฒฝ์šฐ๋„ ๊ฐ™์€ ๊ฒฐ๊ณผ๋ฅผ ์–ป์œผ๋ฏ€๋กœ, ๋ณธ ๋ชจ๋ธ์ด ๋‹ค์–‘ํ•œ ๋ณ€ํ˜• ๋ฐฉ๋ฒ•์—๋„ ์„ฑ๋ฆฝํ•จ์„ ๋ณด์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ์‹œ๊ฐ„์ ์œผ๋กœ ์Šค์ผ€์ผ๋ง ํŠน์„ฑ์„ ๊ฐ–๋Š” ๊ธฐ์ž‘์„ ๋งŒ๋“œ๋Š” ์‹œ๊ฐ„์ ์ธ ๊ตฌ์กฐ์˜ ์ดํ•ด์— ๊ธฐ์—ฌ๋ฅผ ํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€ํ•œ๋‹ค. ๋‹ค์Œ์œผ๋กœ ์ƒ๊ด€์žˆ๋Š” ํญ๋ฐœ์„ฑ์„ ๊ฐ–๋Š” ๋‹จ์ผ ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์„ ๋งŒ๋“œ๋Š”, ์กฐ๊ฑด ๋ฐฉ๋ฒ•๋ก ์ด๋ผ๋Š” ์ƒ์„ฑ ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๊ธฐ์–ต๊ณ„์ˆ˜๋Š” ์—ฐ์†๋œ ๋‘ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ์‚ฌ์ด์˜ ํ”ผ์–ด์Šจ ์ƒ๊ด€๊ณ„์ˆ˜๋กœ์„œ ์‹œ๊ฐ„์ ์ธ ์ƒ๊ด€๊ด€๊ณ„ ์ธก์ •์— ๋„๋ฆฌ ์“ฐ์ด๊ณ  ์žˆ๋‹ค. ์กฐ๊ฑด ๋ฐฉ๋ฒ•๋ก ์„ ํ†ตํ•ด ๊ธฐ์–ต๊ณ„์ˆ˜๊ฐ€ ์ฃผ์–ด์งˆ ๋•Œ ์›ํ•˜๋Š” ์‚ฌ๊ฑด ๊ฐ„ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ๋ฅผ ๊ฐ–๋Š” ๋‹จ์ผ ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์„ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๊ธฐ์–ต๊ณ„์ˆ˜๊ฐ€ ์ฃผ์–ด์ง€๋ฉด ๊ฒฐํ•ฉํ™•๋ฅ ๋ถ„ํฌ๊ฐ€ ์œ ์ผํ•˜๊ฒŒ ๊ฒฐ์ •๋˜๋Š”๋ฐ, ์ด๋•Œ ๊ธฐ์–ต๊ณ„์ˆ˜์˜ ๊ฐ’์€ ์ž‘์•„์•ผ ํ•œ๋‹ค. ์กฐ๊ฑด๋ถ€ ๋ˆ„์ ํ™•๋ฅ ์˜ ์—ญํ•จ์ˆ˜ ๊ฐ’์„ ํ†ตํ•ด ์ˆœ์ฐจ์ ์œผ๋กœ ํŠน์ •ํ•œ ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ ๋ถ„ํฌ๋ฅผ ๊ฐ–๋Š” ์‹œ๊ฐ„ ๊ฐ„๊ฒฉ๋“ค์„ ์–ป์„ ์ˆ˜ ์žˆ๊ณ , ์ด๋ฅผ ํ†ตํ•ด ์ฃผ์–ด์ง„ ๊ธฐ์–ต๊ณ„์ˆ˜๋ฅผ ๊ฐ–๋Š” ๋‹จ์ผ ์‚ฌ๊ฑด ์ˆœ์„œ์—ด์„ ๊ตฌ์ถ•ํ•  ์ˆ˜ ์žˆ๋‹ค. ์—ฌ๊ธฐ์—์„œ๋Š” ๋‘ ๊ฐ€์ง€ ๋Œ€ํ‘œ์ ์ธ ๋ถ„ํฌ์ธ ์ง€์ˆ˜ํ•จ์ˆ˜์™€ ๋ฉฑํ•จ์ˆ˜์— ๋Œ€ํ•ด์„œ ์กฐ๊ฑด ๋ฐฉ๋ฒ•๋ก ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ํ†ตํ•ด ๊ธฐ์กด์˜ ๋ฐฉ๋ฒ•๋ก ์— ๋”ํ•ด ์ƒ๊ด€์žˆ๋Š” ํญ๋ฐœ์„ฑ์„ ๋งŒ๋“œ๋Š” ๋ฐฉ๋ฒ•๋ก  ๊ฐœ๋ฐœ์— ๊ธฐ์—ฌ๋ฅผ ํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ณ„์ธต์ ์ธ ์ƒ์„ฑ ๋ชจํ˜• ์ œ์‹œ ๋ฐ ๋ถ„์„๊ณผ ์ƒ์„ฑ ๋ฐฉ๋ฒ•๋ก  ์ œ์‹œ๋ฅผ ํ†ตํ•ด ์ƒ๊ด€์žˆ๋Š” ํญ๋ฐœ์ ์ธ ๋™์—ญํ•™์˜ ์ดํ•ด๊ฐ€ ๊นŠ์–ด์งˆ ๊ฒƒ์ด๋ผ ๊ธฐ๋Œ€ํ•œ๋‹ค

    Competency-based learning program in system analysis and design for health professionals

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    This study aims to evaluate the effectiveness of a competency-based learning (CBL) approach to an e-learning course on systems analysis and design (SAD). The competency of 18 students who registered for an SAD course was measured at different 3 times during the semester with the use of a competency diary. The changes in the competency scores through the semester were analyzed by a Friedman test, and the factors affecting learning effectiveness were identified by multiple regression. The competency scores increased as the semester progressed. The factors that had a significant effect on learning effectiveness were course management and learning materials. The authors found that the CBL approach worked well for this particular e-learning course on SAD and that nontechnical aspects of the instruction, such as course management and lecture materials, were more important than the technical aspects even in this Internet environment.ope
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