Computed tomography-enhanced anatomy course using enterprise visualization

Hila May, Haim Cohen, Bahaa Medlej, Liora Kornreich, Nathan Peled, Israel Hershkovitz

Research output: Contribution to journalArticlepeer-review

Abstract

Rapid changes in medical knowledge are forcing continuous adaptation of the basic science courses in medical schools. This article discusses a three-year experience developing a new Computed Tomography (CT)-based anatomy curriculum at the Sackler School of Medicine, Tel Aviv University, including describing the motivations and reasoning for the new curriculum, the CT-based learning system itself, practical examples of visual dissections, and student assessments of the new curriculum. At the heart of this new curriculum is the emphasis on studying anatomy by navigating inside the bodies of various living individuals utilizing a CT viewer. To assess the students' experience with the new CT-based learning method, an anonymous questionnaire was administered at the end of the course for three consecutive academic years: 2008/2009, 2009/2010, 2010/2011. Based upon the results, modifications were made to the curriculum in the summers of 2009 and 2010. Results showed that: (1) during these three years the number of students extensively using the CT system quadrupled (from 11% to 46%); (2) students' satisfaction from radiologists involvement increased by 150%; and (3) student appreciation of the CT-based learning method significantly increased (from 13% to 68%). It was concluded that discouraging results (mainly negative feedback from students) during the first years and a priori opposition from the teaching staff should not weaken efforts to develop new teaching methods in the field of anatomy. Incorporating a new curriculum requires time and patience. Student and staff satisfaction, along with utilization of the new system, will increase with the improvement of impeding factors.

Original languageEnglish
Pages (from-to)332-341
Number of pages10
JournalAnatomical Sciences Education
Volume6
Issue number5
DOIs
StatePublished - Sep 2013

Keywords

  • CT, medical education
  • Cadavers
  • Curricular design
  • Gross anatomy education
  • Laboratory dissection
  • Learning methods
  • Medical imaging
  • Radiological anatomy
  • Self-learning
  • Virtual dissection

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