Journal of the American College of Radiology
Volume 5, Issue 12 , Pages 1191-1195, December 2008

Automating Radiologist Workflow, Part 3: Education and Training

  • Bruce Reiner, MD

      Affiliations

    • Corresponding Author InformationCorresponding author and reprints: Bruce Reiner, MD, Baltimore VA Medical Center, Department of Diagnostic Imaging, 22 N Greene Street, Baltimore, MD 21201

Department of Diagnostic Imaging, Baltimore VA Medical Center, Baltimore, Maryland

The current model for radiologist education consists largely of mentorship during residency, followed by peer-to-peer training thereafter. The traditional focus of this radiologist education has historically been restricted to anatomy, pathology, and imaging modality. This “human” mentoring model becomes a limiting factor in the current practice environment because of rapid and dramatic changes in imaging and information technologies, along with the increased time demands placed on practicing radiologists. One novel way to address these burgeoning education and training challenges is to leverage technology, with the creation of user-specific and context-specific automated workflow templates. These automated templates would provide a low-stress, time-efficient, and easy-to-use equivalent of “computerized” mentoring. A radiologist could identify the workflow template of interest on the basis of the specific computer application, pathology, anatomy, or modality of interest. While the corresponding workflow template is activated, the radiologist “student” could effectively start and stop at areas of interest and use the functionality of an electronic wizard to identify additional educational resource of interest. An additional training feature of the technology is the ability to review “proven” cases for the purposes of establishing competence and credentialing.

Key Words: Radiologist education, automated, workflow

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PII: S1546-1440(08)00268-8

doi:10.1016/j.jacr.2008.05.013

Journal of the American College of Radiology
Volume 5, Issue 12 , Pages 1191-1195, December 2008