Radiology resident assessment and feedback dashboard

Ashimiyu B. Durojaiye, Elizabeth Snyder, Michael Cohen, Paul Nagy, Kelvin Hong, Pamela T. Johnson

Research output: Contribution to journalArticlepeer-review

Abstract

Assessment of residents is optimally performed through processes and platforms that provide daily feedback, which can be immediately acted on. Given the documentation required by the Accreditation Council for Graduate Medical Education (ACGME), effective data management, integration, and presentation are crucial to ease the burden of manual documentation and increase the timeliness of actionable information. To this end, the authors modeled the learning activities of residents using the Experience Application Programming Interface (xAPI) framework, which is a standard framework for the learning community. On the basis of the xAPI framework and using open-source software to extend their existing infrastructure, the authors developed a Web-based dashboard that provides residents with a more holistic view of their educational experience. The dashboard was designed around the ACGME radiology milestones and provides real-time feedback to residents using various assessment metrics derived from multiple data sources. The purpose of this article is to describe the dashboard’s architecture and components, the design and technical considerations, and the lessons learned in implementing the dashboard.

Original languageEnglish (US)
Pages (from-to)1443-1453
Number of pages11
JournalRadiographics
Volume38
Issue number5
DOIs
StatePublished - Sep 1 2018

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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