title: USRC: a new strategy for adding digital images to the medical school curriculum.
abstract: Many medical schools use learning management systems (LMSs) to give students access to online lecture notes, assignments, quizzes, and other learning resources. LMSs can also be used to provide access to digital radiology images, potentially improving preclinical teaching in anatomy, physiology, and pathology while also allowing students to develop interpretation skills that are important in clinical practice. However, it is unclear how radiology images can best be stored, imported, and displayed in an LMS. We developed University of Saskatchewan Radiology Courseware (USRC), a new web application that allows course designers to import images into pages linked to BlackBoard Learn, a popular LMS. Page content, including images, annotations, captions, and supporting text, are stored as teaching cases on a MIRC (Medical Imaging Resource Center) server. Course designers create cases in MIRC, and then create a corresponding page in BlackBoard by modifying an HTML template so that it holds the URL of a MIRC case. When a user visits the page in BlackBoard, the page requests content from the MIRC case, reformats the text for display in BlackBoard, and loads an image viewer plug-in that allows students to view and interact with the images stored in the case. The USRC technology can be used to reformat MIRC cases for presentation in any website or in any learning management system that supports custom pages written in HTML with embedded JavaScript.
authors.affiliation: Medical Imaging, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada. david.pinelle@usask.ca
authors.forename: David
authors.initials: D
authors.lastname: Pinelle
authors.forename: Brent
authors.initials: B
authors.lastname: Burbridge
authors.forename: Neil
authors.initials: N
authors.lastname: Kalra
mesh_terms: D002983:Clinical Competence; D003194:Computer-Assisted Instruction / Q000379:methods*; D003479:Curriculum; D003952:Diagnostic Imaging / Q000379:methods; D004504:Education, Medical, Undergraduate / Q000379:methods*; D005260:Female; D006801:Humans; D020407:Internet; D008297:Male; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D012525:Saskatchewan; D012577:Schools, Medical; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D013679:Technology, Radiologic / Q000193:education*