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신아미,박희준,이인희,김윤년 한국재활복지공학회 2008 재활복지공학회논문지 Vol.2 No.1
This study was tried to analyze the diagnosis of patients with cerebral infarction by sequence modeling that was one of data mining analysis method and find out previous disease or complication of patients with cerebral infarction. Mass data that the diagnosis code of cerebral infarction was I63 in 2000 to 2007 were extracted from A hospital's database and then the data mart was constructed for analysis. Total 2,267 patients illnesses were diagnosed as cerebral infarction and 32,692 cases related diagnosis were extracted. Sequence modeling in Clementine 12.0 program was used to analyze diagnosis of patients with cerebral infarction and 8 meaningful rules were found in this paper. This result could be used as a basic data to make secondary cerebral infarction prevention program and to prevent complication of cerebral infarction.
종이의무기록과 전자의무기록의 기재정도 및 일치도 비교 연구: 심방세동 환자 입원기록을 중심으로
신아미,박희준,정선주,노미진,김윤년 대한의료정보학회 2009 Healthcare Informatics Research Vol.15 No.2
Objective: This aim of this study was to evaluate the quality and agreement of electronic medical records with paper-based medical records. Methods: Data was collected from the paper-based medical records generated during 2004 and electronic medical records during 2007, in patients hospitalized for arterial fibrillation. The categories evaluated included the chief complaint, history of present illness, past illness, medication history, admission history, family history, allergies, smoking history, and drinking history in admission record. Results: The electronic medical records scored higher for: the existence of a medical record, level of information in the medical record and agreement of information. However, there were some categories of disagreement between the information from doctors and nurses, and there were several categories with no record by doctors or nurses. Conclusion: The results of this study confirmed that the quality of the electronic medical record is better than that of paper-based medical with regard to: the existence of the record, level and agreement of information. However, there are discrepancies in the information contained within both types of records.
CPA program을 활용한 복강경을 이용한 질식 자궁적출술 환자 Critical Pathway 개발
신아미,박명화,전효찬,박희준,김윤년 대한의료정보학회 2008 Healthcare Informatics Research Vol.14 No.1
Objective: The aim of this study was to develop critical pathway for post operation care of laparoscopic assisted vaginal hysterectomy with time and cost effectiveness using a clinical pathway assistant program (MDCPATM, MDware Co.) Methods: Procedure was done with the following steps; establishment of conceptual framework, development of preliminary critical pathway using CPA program, expert validity test, and confirmation of final critical pathway. Results: Preliminary critical pathway was extracted by CPA program, and this result was verified by expert validity test. The process of data collection and analysis to develop the preliminary critical pathway was accomplished automatically by CPA program. The patients' hospitalization period in the aspect of time and cost effectiveness was confirmed as 6 days, and each item of assessment, test, medication, treatment, diet, activity, and teaching were finalized. Conclusion: The CPA program can automate the complicated process, which contains collecting and cleaning the large size EMR data, classifying and confirming the items in critical pathway, so that the time and cost to develop a critical pathway can be reduced. This program is expected to be used for development of critical pathway in a variety of clinical settings in the aspect of time and cost effectiveness.
신아미(A. M. Shin),박희준(H. J. Park),이인희(I. H. Lee),김윤년(Y. N. Kim) 한국재활복지공학회 2009 재활복지공학회논문지 Vol.2 No.1
본 연구는 데이터 마이닝 기법 중 하나인 순차규칙 모델링을 활용해 뇌경색증 환자의 진단을 분석함으로써 뇌경색증의 선행질환과 합병증을 파악하고 이를 최소화할 수 있는 중재 개발에 기초자료를 제공하고자 시도되었다. 뇌경색증 환자의 진단 관련 데이터는 대구에 위치한 A 의료원에서 2000년에서 2007년 사이 뇌경색증으로 진단받은 환자의 관련 데이터를 추출하여 일괄분석을 위해 데이터마트를 구축하였다. 대상 의료 기관에서 총 2,267명이 뇌경색증을 진단 받았고 추출된 진단 데이터는 총 32,692건이었다. 데이터 분석은 Clementine 12.0의 순차규칙 모델링을 이용하였고 8개의 의미 있는 규칙이 발견되었다. 본 연구 결과는 2차 뇌경색 발생 예방 프로그램 개발 및 뇌경색증 환자의 합병증 예방 중재 개발의 기초자료로 활용할 수 있을 것으로 기대된다. This study was tried to analyze the diagnosis of patients with cerebral infarction by sequence modeling that was one of data mining analysis method and find out previous disease or complication of patients with cerebral infarction. Mass data that the diagnosis code of cerebral infarction was 163 in 2000 to 2007 were extracted from A hospital"s database and then the data mart was constructed for analysis. Total 2,267 patients illnesses were diagnosed as cerebral infarction and 32,692 cases related diagnosis were extracted. Sequence modeling in Clementine 12.0 program was used to analyze diagnosis of patients with cerebral infarction and 8 meaningful rules were found in this paper. This result could be used as a basic data to make secondary cerebral infarction prevention program and to prevent complication of cerebral infarction.
대구일 종합병원 전자간호기록 시스템에 대한 사용자 만족도 조사
신아미 ( A Mi Shin ),박희준 ( Hee Joon Park ),정선주 ( Sun Ju Jung ),박명화 ( Myong Hwa Park ),윤경일 ( Kyung Il Yoon ),김윤년 ( Yoon Nyun Kim ) 한국보건통계학회 2009 보건정보통계학회지 Vol.34 No.1
Objective: This study was tried to survey nurse`s satisfaction on the ENR(electronic nursing record) system in general hospital in Daegu. Methods: 250 nurses who were working in the A general hospital in Daegu participated to survey through Questionnaire for User Interaction Satisfaction about satisfaction of electronic nursing record system. Results: Mean score of Questionnaire for User Interaction Satisfaction was 3.18 and this result was statistically higher than middle score of 3. Score of terminology & message was the highest and score of capabilities was lowest in all categories of Questionnaire for User Interaction Satisfaction. Results of stepwise multiple regression between overall evaluation and other categories were that categories of learning, capabilities, screen influenced category of overall evaluation and category of learning was the biggest influence variable. Conclusion: Users seem to be satisfied with the electronic nursing record system and this results could help to modify better electronic nursing record system in A hospital.
신아미 ( A Mi Shin ),이인희 ( In Hee Lee ),이경호 ( Kyung Ho Lee ),윤경일 ( Kyung Il Youn ) 한국병원경영학회 2010 병원경영학회지 Vol.15 No.2
Ensuring the confidentiality of patient records is critical requirement for quality of care and in fulfilling legal obligation of healthcare organizations. This study analyzed the behavior of hospital employees who are dealing with confidential patient information in a hospital. Theory of Planned Behavior(TPB) model and TPB expanded models that add habit concept to TPB are tested for the validity in explaining the predisposing factors that affect the behavior of hospital employee in ensuring the confidentiality of patient records. Data were collected by administrating a survey to the 350 employee of a tertiary care hospital. Of the 350 questionaries distributed, 321 were responded resulting 92% of response rate. The mean differences among the groups classified by age, years of experience, gender, and occupation were analysis using ANOVA. The relationships among the concepts suggested in the models were analysed by applying the Structural Equations Modeling method. The results of ANOVA indicated significant mean differences in the frequency of confidentiality ensuing behavior. Administrative staff and medical technicians show higher frequency of ensuing behavior compared to the physicians and the nurses. And more experienced employee show more confidentiality ensuring behavior. The results of Structural Equations analysis showed that the strong effect of habit and attitude in predicting the behavior. However, the effect of perceived behavioral control was not significant. Based on the results the theoretical and practical implications are discussed.
종이의무기록과 전자의무기록의 기재 충실도 및 일치도 비교 연구: 의사의 입원,퇴원기록지와 간호사의 입원,퇴원간호정보기록지를 중심으로
신아미 ( A Mi Shin ),정선주 ( Sun Ju Jung ),이인희 ( In Hee Lee ),손창식 ( Chang Sic Son ),박희준 ( Hee Joon Park ),김윤년 ( Yoon Nyun Kim ),윤경일 ( Kyung Il Youn ) 한국병원경영학회 2010 병원경영학회지 Vol.15 No.1
This study was tried to evaluate the level of completeness and the accordance in electronic medical records by comparing paper-based medical record in doctor`s admission records, discharge summary, and nursing information records. Medical records of inpatients of neurology department that the 100 paper-based medical records in 2004 and 100 electronic medical records in 2006 were targeted. Existence of record items and doctor-nurse record accordance were evaluated in doctor`s admission record, discharge summary, admission nursing information record, and discharge nursing information record. There were not any differences between electronic medical records and paper-based medical records in doctor`s admission record and discharge summary. Electronic medical records had less missing records than paper-based medical records in admission and discharge nursing information records. Electronic medical records showed higher accordance than the paper-based medical record in doctor-nurse record generally, but there were statistically differences in only medication, allergy, smoking, and drinking(p<0.05). In this study, it was verified that the quality of electronic medical records are better than paper-based records in nursing information record and doctor-nurse record agreement.
호흡곤란환자의 입-퇴원 분석을 위한 규칙가중치 기반 퍼지 분류모델
손창식,신아미,이영동,박형섭,박희준,김윤년,Son, Chang-Sik,Shin, A-Mi,Lee, Young-Dong,Park, Hyoung-Seob,Park, Hee-Joon,Kim, Yoon-Nyun 대한의용생체공학회 2010 의공학회지 Vol.31 No.1
A rule weight -based fuzzy classification model is proposed to analyze the patterns of admission-discharge of patients as a previous research for differential diagnosis of dyspnea. The proposed model is automatically generated from a labeled data set, supervised learning strategy, using three procedure methodology: i) select fuzzy partition regions from spatial distribution of data; ii) generate fuzzy membership functions from the selected partition regions; and iii) extract a set of candidate rules and resolve a conflict problem among the candidate rules. The effectiveness of the proposed fuzzy classification model was demonstrated by comparing the experimental results for the dyspnea patients' data set with 11 features selected from 55 features by clinicians with those obtained using the conventional classification methods, such as standard fuzzy classifier without rule weights, C4.5, QDA, kNN, and SVMs.