RSNA 2009 

Abstract Archives of the RSNA, 2009


LL-IN2146-L03

Student PACS: How Medical Students Learn to Search for Abnormal Images from Hundreds of Images—Assessment of Student Created Learning Modules with Peer Evaluation

Scientific Posters

Presented on December 2, 2009
Presented as part of LL-IN-L: Informatics  

 Research and Education Foundation Support

Participants

Christina Cheng, Presenter: Nothing to Disclose
Lily Zou BS, Abstract Co-Author: Nothing to Disclose
Salil Soman MD, MS, Abstract Co-Author: Nothing to Disclose
Jaskirat Singh Virk BA, Abstract Co-Author: Nothing to Disclose
Judith Korek Amorosa MD, Abstract Co-Author: Nothing to Disclose
Anjali Masand BS, Abstract Co-Author: Nothing to Disclose
Hemesh Rama BS, Abstract Co-Author: Nothing to Disclose
Sherif Saad BS, Abstract Co-Author: Nothing to Disclose
Ronak H. Patel BA, Abstract Co-Author: Nothing to Disclose
Ian Tseng MD, Abstract Co-Author: Nothing to Disclose
Mukta Baweja BA, Abstract Co-Author: Nothing to Disclose
Luke Mueller BA, MBA, Abstract Co-Author: Nothing to Disclose

PURPOSE

The purpose of this abstract was to evaluate  the creation and testing of imaging materials based on Clerkship Companion(RSNA.org) for StudentPACS.   StudentPACS is software which has been introduced into the Medical Student learning lab to enable students the experience of reviewing studies at a PACS workstation, by  looking  through a series of images  recognizing anatomical landmarks and abnormal  findings  as opposed to learning from preselected  images in a conference, lecture or on-line setting. 

METHOD AND MATERIALS

Medical students on an Educational Research elective selected and researched several diseases, created interactive flash tutorials with series of questions, using the StudentPACS software. These tutorials were  reviewed by radiology residents and faculty, were assigned radlex classification keywords. The students used Macromedia software and an extension for flash that allows users with no significant programming experience to create interactive flash tutorials. The software extension was created by medical students and a programmer under the supervision of members of the department  and was presented at RSNA in 2006.The learning modules were evaluated by other  medical students. Questions were posed to evaluate the students' gained knowledge  and retention of the material when compared to static images. Their preferences were tabulated.  None of the students who created the modules were the evaluating students. Students who created modules also completed a survey to evaluate the learning experience gained from creating flash tutorials.  

RESULTS

A standardized form was created for the evaluation process about  the content, ease of use, image quality, learning value of the  modules and student preferences about static or StudentPACS cases. The students' evaluations were used to change and improve the learning modules. Students preferred utilizing StudentPACS cases over static images. The learning value for the creators of the StudentPACS cases was also assessed and  proved to be a valuable learning experience.

CONCLUSION

Medical students evaluated learning materials created by their peers. Their evaluation was favorable. The peer assessment validated the usefulness of StudentPACS as a learning tool for medical students learning Radiology.

CLINICAL RELEVANCE/APPLICATION

Searching for an abnormality from hundreds of images is a skill which medical students can acquire using StudentPacs cases to learn radiology.

Cite This Abstract

Cheng, C, Zou, L, Soman, S, Virk, J, Amorosa, J, Masand, A, Rama, H, Saad, S, Patel, R, Tseng, I, Baweja, M, Mueller, L, Student PACS: How Medical Students Learn to Search for Abnormal Images from Hundreds of Images—Assessment of Student Created Learning Modules with Peer Evaluation.  Radiological Society of North America 2009 Scientific Assembly and Annual Meeting, November 29 - December 4, 2009 ,Chicago IL. http://archive.rsna.org/2009/8002548.html