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Case-based learning in the medical field involves the presentation of clinical cases as a mean of learning basic medical and clinical science. In this thesis, we propose a multimedia medical teaching case system called HINTS (Health Information Network Teaching System). A user can use Web browser to edit and browse teaching cases. In addition, we also describe the principal underlying mechanisms of various useful e-learning features. (1) The same clinical case can be presented in various approaches based on different department, which helps students to understand the association of different disciplines. (2) For emulate the real clinical situation, by introducing the concept of Natural Language processing within interrogation enquiry sections. (3) We propose a personal workspace for every user to further facilitate students’ learning and thereby make the HINTS a more effective, and efficient. The system has been installed in the National Cheng Kung University Medical Center, Tainan, Taiwan for trial purposes. Some experiments have been conducted to verify the advantages of these mechanisms for HINTS.

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