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The End User Computing Strategy of Using Excel VBA in Promoting Nursing Informatics in Taiwan
Chang, Polun,Hsu, Chiao-Ling,Hou, I-Ching,Tu, Ming Hsiang,Liu, Che-Wei The Research Institute of Nursing Science Seoul Na 2008 간호학의 지평 Vol.5 No.1
The nursing informatics has been booming in Taiwan since 2003 when we started to use the end user computing strategy to promote it. We used Excel 2003, which was well known and used by our clinical nurses, as well as the embedded VBA to teach them how simple information applications could and should be built to meet their information management needs in order to support their professional responsibility. Many cost-effective projects were successfully done and the importance and potentials of nursing informatics started to be noticed. Our training strategy and materials are introduced in this paper.
Polun Chang,Fan-Pin Huang,Min-Ling Lai 대한의료정보학회 2009 Healthcare Informatics Research Vol.15 No.3
Objective: An automatic detection tool was created for examining health-related webpage quality we went further by examining its feasibility and performance. Methods: We developed an automatic detection system to auto-assess the authorship quality indicator of an health-related information webpage for governmental websites in Taiwan. The system was integrated with the Chinese word segmentation system developed by the Academia Sinica in Taiwan and the SVMlight, which serve as an SVM (Support Vector Machine) Classifiers and a method of information extraction and identification. The system was coded in Visual Basic 6.0, using SQL 2000. Results: We developed the first Chinese automatic webpage classification and information identifier to evaluate the quality of web information. The sensitivity and specificity of the classifier on the training set of webpages were both as high as 100% and only one health webpage in the test set was misclassified, due to the fact that it contained both health and non-health information content. The sensitivity of our authorship identifier is 75.3% ,with a specificity of 87.9%. Conclusion: The technical feasibility of auto-assessment for the quality of health information on the web is acceptable. Although it is not sufficient to assure the total quality of web contents, it is good enough to be used to support the entire quality assurance program.