Journal of Korean Society of Medical Informatics最新文献

{"title":"Image Analysis Quantifying Microvessel Density in Renal Cell Carcinoma","authors":"H. Choi","doi":"10.4258/JKSMI.2009.15.2.217","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.2.217","url":null,"abstract":"The most widely used method for quantifying new blood vessel growth in tumor angiogenesis is the determination of microvessel density, which is reported to be associated with tumor progression and ...","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126484688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Data Warehouse Based Retrospective Post-marketing Surveillance Method: A Feasibility Test with Fluoxetine","authors":"M. Park, Young-Ho Lee, Eun Yeob Kim, Woojae Kim, H. Kam, Jong Pill Choi, Tae Hwa Han, Un-Gu Kang, R. W. Park","doi":"10.4258/JKSMI.2009.15.2.191","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.2.191","url":null,"abstract":"Objective: Post-marketing surveillance (PMS) is an adverse events monitoring practice of pharmaceutical drugs on the market. Traditional PMS methods are labor intensive and expensive to perform, because they are largely based on manual work including phone-calling, mailing, or direct visits to relevant subjects. The objective of this study was to develop and validate a PMS methodology based on the clinical data warehouse (CDW). Methods: We constructed a archival DB using a hospital information system and a refined CDW from three different hospitals. Fluoxetine hydrochloride, an antidepressant, was selected as the target monitoring drug. Corrected QT prolongation on ECG was selected as the target adverse outcome. The Wilcoxon signed rank test was performed to analyze the difference in the corrected QT interval before and after the target drug administration. Results: A refined CDW was successfully constructed from three different hospitals. Table specifications and an entity-relation diagram were developed and are presented. A total of 13 subjects were selected for monitoring. There was no statistically significant difference in the QT interval before and after target drug administration (p=0.727). Conclusion: The PMS method based on CDW was successfully performed on the target drug. This IT-based alternative surveillance method might be beneficial in the PMS environment of the future.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117053980","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Paper-Based Medical Record Compared to the Electronic Medical Record: Documentation and Agreement of Information","authors":"A. Shin, Hee-Joon Park, Sun-Ju Jung, M. Noh, Yoon Nyun Kim","doi":"10.4258/JKSMI.2009.15.2.201","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.2.201","url":null,"abstract":"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.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129640123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Basic Concepts and Principles of Data Mining in Clinical Practice","authors":"Sun Mi Lee, R. W. Park","doi":"10.4258/JKSMI.2009.15.2.175","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.2.175","url":null,"abstract":"Recently, many hospitals have been adopting clinical data warehouses (CDW) as well as electronic medical records. These new hospital information systems are inevitably introducing very large amounts of clinical data that might be useful for further analysis. However, the electronic clinical data in the CDW are usually byproducts of clinical practice rather than the product of research. Therefore, they include inconsistent and sometimes erroneous information that might not have the specific context of the clinical situations. Data miners usually have various academic backgrounds such as electronics, informatics, statistics, biomedicine, and public health. If the complex situations surrounding the clinical data are not well understood, investigators performing data mining in clinical fields may have problems assessing the information they are confronted with. Here, we would like to introduce some basic concepts on the principles of data mining in clinical fields including legal and ethical considerations as well as technical concerns. (Journal of Korean Society of Medical Informatics 15-2, 175-189, 2009)","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131734562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation of the Algorithm for Bio-signal Data in Home-health Management Systems","authors":"So-mi Park, M. Park, Hyun Kim, O. Kim, Y. Yoon, S. Hwang","doi":"10.4258/JKSMI.2009.15.1.109","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.109","url":null,"abstract":"Objective: The purpose of this study was to verify the algorithm on bio-signals for a home-health management system. Methods : A methodological study was done to verify the blood pressure and blood sugar algorithm to deliver tailored patient information. The verifying process was as follows: Step 1; development of the algorithm through a literature review, Step 2; programming the algorithm using Microsoft SQL Server 2005 and Visual Studio 2005, Step 3; Reviewing of the algorithm by examining results from the home-health management system and experts' evaluation Step 4; evaluating the agreement of the algorithm by comparison between results from the home-health management system and intended results using bio-signal data set, and completion of the algorithm. Results: Discordance rate between results from the home-health management system and intended results for blood pressure and blood sugar were 5.72% and 2.04%, respectively. Also, discordance rate between results from the home-health management system and experts' evaluation of blood pressure and blood sugar were 30.38% and 20.41%, respectively. All discordance were revised until all the researchers reached agreement. Conclusion : The home-health management system with an accurate algorithm on bio-signals can contribute to promote clients' health and reduce the cost of medical services. (Journal of Korean Society of Medical Informatics 15-1, 109-116, 2009)","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121686015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of Nursing Records of Open Heart Surgery Patients before and after Implementation of Electronic Nursing Record","authors":"Insil Lee, Hyeoun-Ae Park","doi":"10.4258/JKSMI.2009.15.1.83","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.83","url":null,"abstract":"Objectives: The objective of this study is to compare nursing records before and after the implementation of an electronic nursing records system. Methods: Twenty patients’ paper-based nursing records and 20 patients’ electronic nursing records were analyzed according to the nursing process and compared in terms of quantity and quality. Results: In terms of quantity, the average number of statements documented per patient per day has increased by 2.5 times, from 10.3 to 25.6 statements. The average number of redundancies of a unique statement also has increased by 67%, from 5.0 to 8.8. As for the content of nursing records, paper-based nursing records have more patient problem statements describing signs and symptoms, nursing observations, and patient status. Electronic nursing records have more nursing activity statements. In terms of quality, there were more nursing records following patterns of nursing process in electronic nursing records than paper-based nursing records. The electronic nursing records have a more detailed documentation compared to the paper-based nursing records. Conclusion: After the implementation of electronic nursing record system, quantity of nursing records and the pattern of nursing records following the nursing process have been increased and granularity of nursing records has been improved.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"29 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132922784","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Hierarchical Classification of ECG Beat Using Higher Order Statistics and Hermite Model","authors":"Kwang Suk Park, B. Cho, Do Hoon Lee, S. Song, Jong Shill Lee, Y. Chee, I. Kim, Sun I. Kim","doi":"10.4258/JKSMI.2009.15.1.117","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.117","url":null,"abstract":"Objective: The heartbeat classification of the electrocardiogram is important in cardiac disease diagnosis. For detecting QRS complex, conventional detection algorithm have been designed to detect P, QRS, Twave, first. However, the detection of the P and T wave is difficult because their amplitudes are relatively low, and occasionally they are included in noise. Furthermore the conventional multiclass classification method may have skewed results to the majority class, because of unbalanced data distribution. Methods: The Hermite model of the higher order statistics is good characterization methods for recognizing morphological QRS complex. We applied three morphological feature extraction methods for detecting QRS complex: higher-order statistics, Hermite basis functions and Hermite model of the higher order statistics. Hierarchical scheme tackle the unbalanced data distribution problem. We also employed a hierarchical classification method using support vector machines. Results: We compared classification methods with feature extraction methods. As a result, our mean values of sensitivity for hierarchical classification method (75.47%, 76.16% and 81.21%) give better performance than the conventional multiclass classification method (46.16%). In addition, the Hermite model of the higher order statistics gave the best results compared to the higher order statistics and the Hermite basis functions in the hierarchical classification method. Conclusion: This research suggests that the Hermite model of the higher order statistics is feasible for heartbeat feature extraction. The hierarchical classification is also feasible for heartbeat classification tasks that have the unbalanced data distribution.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127475210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of Hospital Charges for the Cancer Patients with Data Mining Techniques","authors":"J. Kang, Suk-Hoon Chung, Yong-Moo Suh","doi":"10.4258/JKSMI.2009.15.1.13","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.13","url":null,"abstract":"Objective: Predictions of hospital charges for cancer patients are very important, because they provide a basis for allocating medical resources in the hospital and for establishing national medical policies. But previous studies to predict hospital charges were mainly based on statistical analysis, which has used only a small aspect among huge medical data so that the prediction power was limited. Thus we developed four data mining models, including two artificial neural network (ANN) models and two classification and regression tree (CART) models, to predict both the total amount of hospital charges and the amount paid by the insurance of cancer patients and compared their efficacies. Methods: The data was generated from 400,625 medical records of 1,605 cancer patients who had been hospitalized to Kyung Hee University Hospital from March 1, 2003 to February 29, 2004. Clementine 8.1 program was used to build four data mining prediction models, two for the total amount and two for the amount paid by insurance. The variables included all of the data fields of standard medical record form of Korea. The neural network model used feed-forward back propagation method, which had 2 hidden layers. For decision tree model, RELIEFF method was used and the maximum tree depth was set to 30. We divided the dataset into 67% of training dataset and 33% of test dataset, using stratified sampling. Linear correlation coefficient and gain chart were compared. Results: The ANN models showed better linear correlation coefficient than the CART models in predicting both the total amount (0.824 vs. 0.791) and the amount paid by insurance (0.838 vs. 0.699). The estimated accuracy of ANN model was more than 98% to predict both total amount and amount paid by insurance. The CART model for total amount showed that the relative importance of the variables were duration of admission(0.073), number of consultation(0.061), and treatment group 16(0.06). The CART model for the amount paid by insurance showed that the relative importance of the cariables were duration of admission (0.09), number of ICU admission (0.063), and number of consultations (0.062). The percent gain of ANN model shows better %gain than CART to predict total amount but to predict amount paid by insurance, ANN showed similar pattern to CART Conclusion: The ANN models showed better prediction accuracy than CART models. However, the CART models, which serve different information from ANN model, can be used to allocate limited medical resources effectively and efficiently. For the purpose of establishing medical policies and strategies, using those models together is warranted.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125300308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development of a Nursing Care Decision Support SystemforHealth Problems of The Elementary and Secondary School Students","authors":"Ji Hyun Lee, Hyeoun-Ae Park","doi":"10.4258/JKSMI.2009.15.1.71","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.71","url":null,"abstract":"Objective: The aim of this study was to develop a decision support system that helps school nurses manage health problems they encounter while caring for the elementary and secondary school students, and evaluate usability of it. Methods: Knowledge was aquired by literatures review and interviews with senior school nurses and was validated by another group of school nurses. The Omaha System was used as a standardized nursing terminology to describe nursing diagnoses and interventions. The system was developed under the Windows environment. C++ was used as a program language and MS Structured Query Language as a database. To investigate usability of the system, 30 school nurses in elementary and secondary schools were recruited and asked to apply it to nursing problems they encountered in actual students care setting. Results: The decision support system with seven major signs and symptoms was developed. It automatically makes a nursing diagnosis based on the input data, and also provides nursing interventions with evidence. It was proven that the system was very useful for school nurses to manage students` health problems. Conclusion: The system will contribute to development of expert knowledge concerning student’s health problems and improve the quality of school nursing and professionalism.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125190500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Toward the Automatic Generation of the Entry Level CDA Documents","authors":"Sungwon Jung, Seung Hee Kim, Sooyoung Yoo, Jinwook Choi","doi":"10.4258/JKSMI.2009.15.1.141","DOIUrl":"https://doi.org/10.4258/JKSMI.2009.15.1.141","url":null,"abstract":"Objective: CDA (Clinical Document Architecture) is a markup standard for clinical document exchange. In order to increase the semantic interoperability of documents exchange, the clinical statements in the narrative blocks should be encoded with code values. Natural language processing (NLP) is required in order to transform the narrative blocks into the coded elements in the level 3 CDA documents. In this paper, we evaluate the accuracy of text mapping methods which are based on NLP. Methods: We analyzed about one thousand discharge summaries to know their characteristics and focused the syntactic patterns of the diagnostic sections in the discharge summaries. According to the patterns, different rules were applied for matching code values of Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT). Results: The accuracy of matching was evaluated using five-hundred discharge summaries. The precision was as follows: 86.5% for diagnosis, 61.8% for chief complaint, 62.7%, for problem list, and 64.8% for discharge medication. Conclusion: The text processing method based on the pattern analysis of a clinical statement can be effectively used for generating CDA entries.","PeriodicalId":255087,"journal":{"name":"Journal of Korean Society of Medical Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128512224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}