What’s in your medical education data warehouse? Interviews with 12 US medical schools

Boyd Knosp, Michael Campion, Johmarx Patton, Helen Macfarlane, Janet Corral

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Scopus citations

Abstract

Education data warehouses (EDWs) are an important and foundational information technology infrastructure of a successful program of learning analytics. EDWs, by virtue of their name, acknowledge that education data is not just within one database, but usually one location—the warehouse—that connects multiple data sets distributed across digital systems. Within medical schools, while the concept of an EDW may be grasped with an increasing level of certainty, the complexity of creating and implementing EDWs and using data from EDWs, represents a significant task involving many steps that are, at present, poorly defined. Accordingly, the authors interviewed a range of new and established EDW adopters from 12 medical schools across the United States to better understand the contexts of use and emerging best practices. This chapter presents the summary data and analysis resulting from those semi-structured interviews, toward informing practice across the medical school community.

Original languageEnglish (US)
Title of host publicationDigital Innovations in Healthcare Education and Training
PublisherElsevier
Pages153-167
Number of pages15
ISBN (Electronic)9780128131442
ISBN (Print)9780128131459
DOIs
StatePublished - Jan 1 2020

Keywords

  • analytics
  • data storage and analysis
  • education data warehouse
  • higher education
  • learning analytics
  • medical education

ASJC Scopus subject areas

  • General Medicine

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