7 research outputs found
Data Mining Approach to Clinical Decision Support System for Hypertension Management
Background: This study examined the utility of data mining algorithms for the management of hypertension.
Methods: We studied 2,446 hospitalized patients with hypertension and 3,835 clinic patients with hypertension. Among data mining algorithms, we used clustering analysis and compared decision tree analysis with logistic regression.
Results: On the contrary to the previous studies, decision tree performed better than logistic regression. We have also developed a CDSS (Clinical Decision Support System) with three modules (doctor, nurse, and patient) based on data warehouse architecture. Data warehouse collects and integrates relevant information from various databases from hospital information system.
Conclusions: This study suggests that data mining algorithms may be an useful method for hypertension management and CDSS system can help improve decision making capability of doctors and improve accessibility of educational material for patients.ope
ERP System Performance in a Hospital
Objective: To measure the performance of a hospital enterprise resource planning (ERP) system and suggest various system improvements. Methods: A survey based on a 5-point Likert scale questionnaire and an exclusive interview was administered to 102 employees with a one-year experience of using an ERP system at one university hospital. In order to analyze the factors affecting the ERP system performance, multiple regression analysis and Chi-square test were conducted. Results: All three examined variables-system quality, information quality and integration of hospital information resources-affected the ERP system performance positively. However, the system quality variable had the lowest mean score indicating that the ERP system was difficult to understand for many users. User characteristics were not significantly associated with information quality satisfaction. Conclusion: On the basis of the study results, we recommended some suggestions to improve the ERP system performance. In order to reduce users' dissatisfaction with the new system, hospitals should publicize the needs of the ERP system for the employees, design more effective training programs, and provide more decision-supporting information for managers.ope
Structured modeling of differential diagnosis, treatment and results for allergic rhinitis
๋ณด๊ฑดํ๊ณผ/์์ฌ[ํ๊ธ]
์ฐ์
๊ณผ ๋ฌธ๋ช
์ ๋ฐ๋ฌ๋ก ์ธํ ๊ธฐ์ธ์ฑ ํญ์์ ๋ค์ํ๋ก ์๋ ๋ฅด๊ธฐ์ฑ ์งํ์ด ์ฆ๊ฐํ๊ณ ์๋ ์ถ์ธ์ด๋ฉฐ, ๋น๊ณผํ ์์์ ์๋ ๋ฅด๊ธฐ์ฑ ์งํ์ ๋ํ ๊ด์ฌ์ด ๋์์ง๊ณ ์๋ค. ์ด์ ๋ฐ๋ผ ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ ๋ํ ๋ง์ ์ฐ๊ตฌ๊ฐ ์งํ๋๊ณ ์์ผ๋ ์์ง ์ ๋ฆฝ๋ ์ฐ๊ตฌ๊ฐ ์์ผ๋ฉฐ ์์์์ ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ ์ง๋จ๊ณผ ์น๋ฃ๋ฉด ์์ ํด๊ฒฐํด์ผ ํ ๋ง์ ๋ฌธ์ ์ ์ด ๋ด์ฌํ๊ณ ์๋ค. ๋ฐ๋ผ์ ๋ณธ ์ฐ๊ตฌ๋ ์์์ ์ผ๋ก ์ค์ํ ์์น๋ฅผ ์ฐจ์งํ๊ณ ์๋ ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ ๊ฐ๋ณ์ง๋จ๊ณผ ์น๋ฃ๋ฐฉ๋ฒ, ์น๋ฃ๊ฒฐ๊ณผ๊ฐ์ ๊ตฌ์กฐ๋ฅผ ๋ถ์ํ๊ธฐ ์ํด ์ํ๋์๋ค. ์ด์ ๋ฐ๋ผ ํ์์ ํน์ฑ์ ๊ณตํต์ ์์ธ์ ๊ท๋ช
ํ๋ฉฐ, ํ์์ ํน์ฑ๊ณผ ์ง๋จ, ์น๋ฃ๋ฐฉ๋ฒ, ์น๋ฃ๊ฒฐ๊ณผ๊ฐ์ ๊ตฌ์กฐ๋ฅผ ๋ถ์ํ์ฌ ์ด๋ค๊ฐ์ ๊ด๊ณ๋ฅผ ๊ท๋ช
ํ๊ณ ์ ํ์๋ค. ์ด๋ฅผ ์ํด 1991๋
๋ถํฐ 1993๋
๊น์ง ๋ฐฑ๋ณ์ ์ด๋น์ธํ๊ณผ์ ๋ด์ํ ํ์์ค ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ด ์์ฌ๋์ด ์ค๋ฌธ ์กฐ์ฌ์ ์ผ๋ จ์ ๊ฒ์ฌ์ ์ํ ํ์ 274๋ช
์ ์ฐ๊ตฌ ๋์์ผ๋ก, ํ์์ ์ค๋ฌธ์ง, ์ดํ์ ์๊ฒฌ ๋ฐ ๊ฒ์ฌ ๊ฒฐ๊ณผ ๋ฑ์ ๋ด์ฉ์ ํต๊ณ๋ถ์ ํจํค์ง SAS version 6.04์ LISREL version 7.20์ ์ฌ์ฉํ์ฌ ๋ถ์ํ์๋ค.
์ฒซ์งธ, ํ์์ ํน์ฑ์ ๊ดํ ๊ด๋ จ์ฑ์ ๋ถ์ํ๊ณ ๊ณตํต์ ์์ธ์ ๊ท๋ช
ํ๊ธฐ ์ํ์ฌ ํ์์ ํน์ฑ ์ ์ฆ์๊ตฐ, ์ฆ์ฐ์ ์ ๋๊ตฐ, ์ฆ์์ ์๊ฐ์ ์ถ์ด๊ตฐ, ์ฆ์์ ์
ํ ์์ธ ๋ฐ ์ ๋ฐ์์ธ๊ตฐ, ๊ณผ๊ฑฐ๋ ฅ ๋ฐ ๊ฐ์กฑ๋ ฅ๊ตฐ, ์ดํ์ ๊ฒ์ฌ๊ตฐ, ๊ฒ์ฌ์ค๊ฒ์ฌ๊ตฐ์ 7๊ฐ์ ์์ธ ๊ตฐ์ผ๋ก ๋๋์ด ์์ธ๋ถ์์ ์ค์ํ ๊ฒฐ๊ณผ 33๊ฐ์ ์์ธ์ด ๋์ถ๋์๋ค.
๋์งธ, ์ง๋จ๊ณผ ์น๋ฃ ๊ฒฐ๊ณผ์ ์ํฅ์ ๋ฏธ์น๋ ์ค์ ์์ธ์ ํ๋ณ ๋ฅ๋ ฅ์ ๋ถ์ํ๊ธฐ ์ํ์ฌ ํ๋ณ ๋ถ์์ ์ค์ํ ๊ฒฐ๊ณผ ์ง๋จ์ ์์ธก๋๋ ์์ ์์ธ๊ตฐ 7๊ฐ๋ฅผ ๋ชจ๋ ํฉํ์ฌ ์์ธกํ์์ ๋๊ฐ 81.31%๋ก ๊ฐ์ฅ ๋์์ผ๋ฉฐ, ์ด ๋ ์ง๋จ์ ์ ์ํ ์ํฅ์ ๋ฏธ์น๋ ์์ธ์ ์ฝ์ ์์๊ฐ ๋ฐ ์ฌ์ฑ๊ธฐ, ์ผ์ค์ ๋ฐ์๊ฐ(์์นจ, ํ๋ฃจ์ข
์ผ), ๋น๋ฃจ ๋น์ค๊ฒฉ๋ง๊ณก์ฆ, ๋น์ฉ, ํผ๋ถ ๋ฐ์ ๊ฒ์ฌ(์ง๋๊ธฐ, ๋๋ฌผ), ํผ๋ถ ๋ฐ์ ๊ฒ์ฌ(๊ณฐํก์ด ๋ฑ), ํผ๋ถ ๋ฐ์ ๊ฒ์ฌ(์ฅ ๋ฑ), ์๋ ๋ฅด๊ธฐ์ ์ ๋๋ฅผ ๋ํ๋ด๋ ๊ฒ์ฌ์ค ๊ฒ์ฌ์ 8๊ฐ์๋ค. ๊ทธ๋ฆฌ๊ณ ์น๋ฃ ๊ฒฐ๊ณผ์ ์์ธก๋๋ ์ฆ์๊ตฐ์ ์ํ์ฌ ์์ธก๋์์ ๋๊ฐ 56.53%๋ก ๊ฐ์ฅ ๋์์ผ๋ฉฐ, ์ด ๋ ์น๋ฃ ๊ฒฐ๊ณผ์ ์ ์ํ ์์ธ์ ๋ํต ๋ฐ ์ ์ ์ฆ์
๋ฟ์ด์๋ค.
์
์งธ, ํ์์ ํน์ฑ์ ๋ฐ๋ฅธ ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ ๊ฐ๋ณ์ง๋จ๊ณผ ์น๋ฃ๋ฐฉ๋ฒ ๋ฐ ์น๋ฃ๊ฒฐ๊ณผ๊ฐ์ ๊ตฌ์กฐ๋ฅผ ๋ถ์ํ๊ธฐ ์ํ์ฌ ๊ณต๋ณ๋ ๊ตฌ์กฐ๋ถ์์ ์ค์ํ์๋ค. ๊ทธ ๊ฒฐ๊ณผ ํผ๋ถ ๋ฐ์ ๊ฒ์ฌ์ ์ง๋๊ธฐ, ๋๋ฌผ, ์ฅ ๋ฑ๊ณผ ์๋ ๋ฅด๊ธฐ ์ ๋๋ฅผ ๋ํ๋ด๋ ๊ฒ์ฌ์ค ๊ฒ์ฌ์ ์์ฑ์ ๋ํ๋ด๊ณ , ์ฝ์
์์๊ฐ ๋ฐ ์ฌ์ฑ๊ธฐ์ ์ฆ์์ด ์๋ ๊ฒฝ์ฐ๋ ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ผ๋ก, ๋น์ฉ์ด ์๋ ๊ฒฝ์ฐ๋ ๋น(้)์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ผ๋ก ์ง๋จ์ด ๋ด๋ ค์ง์ ๋ณด์๋ค. ๋ํ ๋ํต ๋ฐ ์ ์ ์ฆ์์ด ์๊ณ ๋น์ฉ์ด ์์ผ๋ฉด ์์ ์๋ฒ์, ๊ฐ์กฑ๋ ฅ์ด ์๊ณ ๊ณผ๊ฑฐ ์ฝ๋ฌผ ์น๋ฃ์ ๋ํ ํจ๊ณผ๊ฐ ์์ผ๋ฉฐ ๋น๋ฃจ์ ๋น์ค๊ฒฉ๋ง๊ณก์ฆ์ด ์์ผ๋ฉด ์ฝ๋ฌผ์๋ฒ์ ์ํํ์๋ค. ๊ทธ๋ฆฌ๊ณ ๋ํต ๋ฐ ์ ์ ์ฆ์์ ์น๋ฃ ๊ฒฐ
๊ณผ์ ์
์ํฅ์ ๋ฏธ์น๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ์ผ๋ฉฐ, ์๋ ๋ฅด๊ธฐ์ฑ ๋น์ผ์ ์น๋ฃ๋ฐฉ๋ฒ์ ๋ณดํธ์ ์ผ๋ก ์ฝ๋ฌผ์๋ฒ์ด ์ํ๋จ์ด ๋ํ๋ฌ๋ค.
[์๋ฌธ]
Allergic disease is increasingly prevalent as various antigens are newly induced by the development of industries and cultures. While the study on the allergic rhinitis is progressed in resent years, there is still no confirmed study in this area yet and there are many problems with diagnosis and treatment of allergic diseases in clinics. This study was
to examine the patient characteristics affecting differential diagnosis, treatment, and results of the treatment for allergic rhinitis, and to determine the relationship among these factors. The data were collected from 274 patients who visited the Paik-hospital's otorhinolaryngology with suspected allergic rhinitis during 1991-1993. Patient's questionnaires, physical examination and laboratory test results were analyzed using SAS version 6.04 and LISREL version 7.20.
First, factor analysis was performed to analyze the relationship between patient characteristics and to determine common factors for each of 7 categories of patient characteristics. Total of 33 factors were determined from the 7 categories; symptom category, severity category,
symptom category with the times, aggravating factor, provoking factor category, past history, family history category, physical examination category, and laboratory test category.
Second, discriminant analysis was performed to determine important factors affecting diagnosis and treatment result. For predicating diagnosis, all 7 categories produced the best result with the prediction rate of 81.31%. The factors significantly affecting diagnosis were nasal pruritis,
sneezing, day-time of occurrence(morning, all day), rhinorrhea, nasal septal deviation, nasal polyps, skin test(mite, animal), skin test(fungi), skin test(mugwort), and laboratory theist. For predicting the results of treatment, symptom category produced the best result with the prediction rate of 56.53%. The factors significantly affecting the results were only headache
and general symptom.
Third, covariance structure analysis was performed to analyze the structural relationships among the differenteal diagnosis, treatment and results of treatment. The factors affecting allergic rhinitis were: skin test positive to mites, animals and mugwort, nasal pruritis, and sneezing ; whereas the factors affecting non-allergic rhinitis were nasal polyps. If
there were headache, general symptom and nasal polyps, surgical therapy was performed ; and if there was the family history, the effectiveness to past drug treatment and the rhinorrhea nasal septal deviation, drug therapy was performed. Headache and general symptom had negative effects on treatment results. And the drug therapy was found to a general threatment method of
allergic rhinitis.restrictio
Analysis on the Degree of Agreement between the Initial Diagnosis Made by Referring Institutions and the Final Diagnosis by a Referred Institution
Objectives: Assessing the degree of agreement between the initial diagnosis of patient encounters made by referring institutions and the final diagnosis by a referred institution. Methods: Among 505 patients referred to the department of obstetrics and gynecology of one tertiary care hospital in 2003, 291 patients hospitalized with gynecologic problems were selected as study subjects in this study. Medical chart review was conducted to compare diagnostic codes given at the time of referral by the referring institutions and those given at discharge by the referred hospital. To assess the degree of accordance between the two diagnostic codes of the same patient encounter, we developed 5-point scoring system. The score of 5 indicates a perfect accordance of all 4 digits of two comparing diagnosis codes and 4 indicates accordance of the first 3 digits. The score of 3 is assigned if the two codes do not agree on the first 3 digits, but share the common disease area. The scores of 2, 1, and 0 are assigned for the cases of accordance on the first 2 digits and the first digit, and no accordance on the first digit, respectively. To identify factors predicting the degree of accordance, decision tree analysis using CART algorithm as data mining approach was carried out. Results: The average accordance score was 3.14. According to the decision tree analysis results, the type of specialty and health care institutions are primary factors that discriminate referrals with high accordance score from those with low score. Secondary factor was diagnosis group: the score was as high as 3.69 among referrals with diagnosis of benign tumor (diagnosis code: D25-D28) and carcinoma in situ (D00-D09), and 2.92 for other diagnosis groups. Tertiary factor was the type of patient`s occupation. Conclusions: Our study showed that there`s a substantial gap between referring and referred hospital on the diagnosis for the same encounter. Effective communication between the referring and referred hospitals may reduce the gap and consequently prevent medical waste resulting from duplicated procedures and tests.ope
Web-based PBL (Problem Based Learning) in Graduate School of Public Health
Objectives: This paper is aimed to study the satisfaction level and course effects of web-based PBL of the Graduate school of Public Health. Methods: Web-based PBL was implemented from March 1 to June 22 on 19 students and a survey on the satisfaction level of the lessons was taken and analyzed. For the analysis, SAS 9.1 was carried out. Results: The relation of effectiveness of the lessons according to the satisfaction level of each evaluation items, shows a significance according to satisfaction of professors, whether or not the students were satisfied in evaluating themselves (correlation, p<0.05). The satisfaction level of the evaluation on teachers and whether or not the students were satisfied in evaluating themselves shows significant influence on the effectiveness of the lessons (simple regression, p<0.05), more specifically in active class participation and understanding by the students themselves (stepwise multiple regression, p<0.05). Conclusions: In this study the attitudes of professors and students toward the lessons are major influences on the effectiveness of the lessons. Specifically, active class participation and understanding by the students themselves are the most important influences.ope