Literature DB >> 33666732

RADIAL: leveraging a learning management system to support radiology education.

Ami Gokli1, Jillian S Dayneka2, David T Saul2, Michael L Francavilla2, Sudha A Anupindi2, Janet R Reid2.   

Abstract

Increasing volume and complexity of cases in academic radiology and the drive toward pediatric sub-specialization have threatened knowledge assimilation for radiologists. There is a clear need for a system that retrieves vetted information from the excess available on the internet. Partnered with an interdisciplinary team from the Graduate School of Education, the authors created the first comprehensive learning management system (LMS) for radiology, implemented in the reading room to augment image interpretation and point-of-care education. The LMS supports quantitative analysis using a robust analytics platform to evaluate user statistics, facilitating improved quality of patient care by revolutionizing the way radiologists assimilate knowledge. This integration promises to enhance workflow and point-of-care teaching and to support the highest quality of care.

Entities:  

Keywords:  Analytics; Artificial intelligence; Curriculum development; Education; Learning management system; Process; Radiology

Year:  2021        PMID: 33666732     DOI: 10.1007/s00247-020-04950-4

Source DB:  PubMed          Journal:  Pediatr Radiol        ISSN: 0301-0449


  1 in total

Review 1.  Discrepancy and error in radiology: concepts, causes and consequences.

Authors:  Adrian Brady; Risteárd Ó Laoide; Peter McCarthy; Ronan McDermott
Journal:  Ulster Med J       Date:  2012-01
  1 in total

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