User-Based Evaluation of a Data-Driven Medical Education Platform

Dimitrios Zikos, Cassie E. Sprague

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

TrainCoMorb is an online data-driven training platform for medical students and residents who can practice recognizing comorbidities and their attributable risk for negative hospital outcomes. This is a subsequent cross-sectional evaluation study designed to examine four dimensions of the platform (navigation, usefulness, validity, features) and their association with external factors (age, experience in simulation systems, opinion about data-driven education). Eighteen medical residents participated in a scenario-based evaluation session and completed an online survey. The residents evaluated the four composite dimensions with scores between 3.77 and 4.15 (5-scale) and thought highly of data-driven medical education. Those more familiar with clinical simulation systems, and more positive about data-driven education, evaluated the 'usefulness', 'validity', and 'features' dimensions with higher scores. TrainComorb is intended to be a supplementary tool for the education of future physicians, and this user-based evaluation study provided positive feedback that it could serve its intended scope.

Original languageEnglish
Title of host publicationInformatics and Technology in Clinical Care and Public Health
EditorsJohn Mantas, Arie Hasman, Mowafa S. Househ, Parisis Gallos, Emmanouil Zoulias, Joseph Liasko
PublisherIOS Press BV
Pages200-203
Number of pages4
ISBN (Electronic)9781643682501
DOIs
StatePublished - 2022

Publication series

NameStudies in Health Technology and Informatics
Volume289
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Keywords

  • data-driven
  • evaluation
  • health informatics
  • medical education

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