本論文主要談及1.Data mining 2. 媒體播放程式3.全文檢索三者在互動式醫學教學系統的應用以及實做。
在Data mining 應用部分，我們將學習者在互動式醫學教育系統所操作的資料做一番分析與處理，再將之統計結果呈現。另外透過評分機制功能，我們可以將醫學教育系統當作是測驗工具，藉以評量學生學習成果。有了統計結果與成績，我們可以讓醫生利用系統功能來分派作業給學習者，讓學習者有討論的目的與方向。最後再透過評量結果來讓醫生分析教案以及教案的章節內容編排是否洽當。
在媒體播放程式部分，我們利用window media player來實做病理切片功能。在教案中，常常會做一些檢查檢驗項目，其中有一樣是內視鏡。透過內視鏡，我們可以看到人體中如食道、胃..等等內部表面構造，有時候當某部分的表面構造有異常現象時，我們希望學習者可以做出要做切片檢查的決定，也就是決定要在影片中的那一個時間點與部位做切片。
在全文檢索部分，由於我們的教案會愈來愈多，因此我們希望透過全文檢索的功能，利用關鍵字來搜尋資料庫中的教案內容，以及能找出是否有相關的教案，進而瀏覽該教案內容。

In this paper, we are talking about the applications and implement of “Data Mining”, ”Window Media Player” and “Full Text Search” for Interactive Medical Education System.
In this system, we can analyse and process the log data that students operated in the Interactive Medical Education System, and display the statistics in the web pages so that professors and students can discuss each other in the classroom. We can take Interactive Medical Education System as an assessment tool by evaluation mechanism, so we can evaluate the achievement of learning in the education system. The doctor professors can referee the statistics and grades of students, and decide the one in who is assigned the item as a homework. Are the all of teaching cases or sections suitable? We can also analyse it by evaluation results, and display data to Dr. or professor.
In the teaching case, students have to choose, select or answer items such as laboratory items, questions or physical examination. An item in the laboratory we call endoscope, we can see the surface of organ such as gullet, stomach by it. Sometime we hope students can choose positions and a time properly when parts of surface are off normal in the endoscope, so we implement it by window media player.
The more and more teaching cases will be in the database of Inter-active Medical Education System, we can input keywords and search cases by “Full Text Search”, and review the content in the “Plan View” of system.

References
[1] Yuh-Ming Cheng, Lih-Shyang Chen, “A Multimedia Teaching Case Learning System for Medical Education”, ED-MEDIA 2003--World Conference on Educational Multimedia, Hypermedia & Telecommunications to be held in Honolulu, Hawaii, USA, June 23-28, 2003.
[2] Bauer,CJ. Data mining digs. Special adverting recruitment supplement to the Washington Post. Washington Post,Sunday,15 March 1998.
[3] Bray T,Paoli J, Maler E. eXtensible Markup Language(XML) 1.0. 2nd ed. W3C recommendation, October 2000(http://www.w3.org/TR/2000/REC-xml-20001006).
[4] Brewka G,Dix J,Konolige K. No monotonic reasoning: an overview. CSLI lecture Notes No. 73,ISBN 1-881526-83-6, 1997. p. 179.
[5] Ceusters W. Medical nature language understanding as a supporting technology for data mining in healthcare. In: Cios KJ editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2000. p.32-60[chapter 3].
[6] Cios KJ, Moore GW. Medical data mining and knowledge discovery: an overview. In: Cios KJ, editor. Medical data mining and knowledge discovery. Heidelberg: Springer 2000. p.1-16[chapter].
[7] Cios KJ editor. Medical data mining and knowledge discovery. Heidelberg: Springer, 2001 (http://www.springer.de/cgi-bin/search_book.pl?isdn=3-7908-1340-0).
[8] K.C. Laudon, J.P. Laudon, Management Information system, Prentice Hall, Englewood Cliffs, NJ,1998, p.553.
[8] J.M. McDonald, S. Brossette, S.A Moser,Pathology information systems: data mining leads to knowledge discovery,Arch. Pathol. Lab. Med. 122(1998)409-411
[9] R. Arawal, T. Omielinski, A.Swqmi, Mining association rules between sets of items in large data-bases, in: Proceeding of the ACM SIGMOD. International conference on the Management of Data, 1993, pp. 207-216
[10] Y.M. Chae, S.H. Lee, S.H. Ho, M.Y. Bae, H.C.Ohrr, Medical decision support system for the management of hypertension, Informatica 21(1997)219-225
[11] G.J. Kuperman, R.M. Gardner, T.A. Pryor, Help: A Dynamic Hospital Information System, Springer, New York, 1991.
[12] L.C. Grandia, T.A. Pryor, D.F. Willson, R.M. Gardner, P.J. Haug,S.M. huff, B.R. Farr, S.H. Lam, in: E.B. Steen(ED.), Building a Computer-Based Patient Record System in an Evolving Integrated Health System. First Annual Nicholas E. Davies CPR Recognition Symposium Proceedings, 1995, pp.3-33.
[13] G. Hripsak, C. Friedman, P.O. Alderson, W. DuMouchel, S.B. Johnson, P.D. Clayton, Unlockling clinical data from narrative reports: a study of natural language processing, Ann. Intern. Med. 122(1995) 681-688.
[14] Allen, L.E.(1996). Mining gold from database. Mortgage Backing, 56(8), 99-100.
[15]Fayyad, U.M. (1996). Data mining and knowledge discovery; Making sense out of data. IEEE Expert, 11(5). October, 22-23