Development of a data management system to support continuous quality improvement in IPE

Jennifer Taylor, Andrea L. Pfeifle

Research output: Contribution to journalArticle

Abstract

The need to document associated learning and program outcomes measuring the impact of interprofessional education is critical to identify and document best practices in the field. The Indiana University Interprofessional Practice and Education Center worked to develop a multi-purpose data management system designed to coordinate logistics of interprofessional learning activities, collect data metrics, administration of standard assessments, and continuous quality improvement. The purpose of this article was to explore the process of developing a data management system designed to coordinate the logistics of the TEACH curriculum, program evaluation, data-driven curriculum review, and competency-based assessment of 1400 learners. We found that the success of the data management system is relationship driven. Building the data management system required a diverse interprofessional team to address current and future needs including planning for the unexpected. Moving forward, the Center is working to develop systematic processes to only support the evolving nature of TEACH and IPE.

Original languageEnglish (US)
JournalJournal of Interprofessional Education and Practice
DOIs
StateAccepted/In press - Jan 1 2018

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management
logistics
education center
curriculum
learning
best practice
data analysis
planning
education

ASJC Scopus subject areas

  • Education

Cite this

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