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[publication] Utilizing new technologies for the improvement of problem based learning in the field of medical education

Our publication on „Utilizing new technologies for the improvement of problem based learning in the field of medical education“ is now published in the book Active and Collaborative Learning: Practices, Problems and Prospects.
Abstract:

In times in which medical education seems to be more complex than ever, facing horrendous student numbers and an increasing accessibility of information, the question of how to ensure the most efficient learning experience remains a vivid point of discussion. Active Learning and its subconcept of Problem Based Learning represent a promising candidate for future improvements in the area of medical education. The utilization of the concept of Problem Based Learning, paired with the latest inventions in web and mobile technologies, finally provides the necessary media to build a possible solution, satisfying the needs of new age education. In this work we report the successful development of a novel reporting system, which focusses on the reliable and fast processing of patient case files during a student’s supervised period of compulsory hospital field work. This novel system enables an improved and fast way of supervisor/student interaction and communication.

Reference: Kitz, G., Ebner, M. (2013) Utilizing new technologies for the improvement of problem based learning in the field of medical education. Mohamed H. (Ed.). In: Active and Collaborative Learning: Practices, Problems and Prospects. Nova Publishers, New York, pp. 231 – 242

[itunesU] Medical Informatics

A new lecture series has been started in iTunesU of Graz University of Technology: Medical Informatics. At the beginning the whole lecture notes (print outs) are free available and next winter term we also plan to record the lecture.
Content of the lecture:

  1. Introduction: Computer Science meets Life Sciences, challenges and future directions
  2. Back to the future: Fundamentals of Data, Information and Knowledge
  3. Structured Data: Coding, Classification (ICD, SNOMED, MeSH, UMLS)
  4. Biomedical Databases: Acquisition, Storage, Information Retrieval and Use
  5. Semi structured and weakly structured data (structural homologies)
  6. Multimedia Data Mining and Knowledge Discovery
  7. Knowledge and Decision: Cognitive Science and Human-Computer Interaction
  8. Biomedical Decision Making: Reasoning and Decision Support
  9. Intelligent Information Visualization and Visual Analytics
  10. Biomedical Information Systems and Medical Knowledge Management
  11. Biomedical Data: Privacy, Safety and Security
  12. Methodology for Information Systems: System Design, Usability and Evaluation