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Big data in medical informatics: improving education through visual analytics.

Christos Vaitsis1, Gunnar Nilsson2, Nabil Zary1

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Visual analytics can improve healthcare education by revealing curriculum data connections. This study explored novel visualization techniques to enhance the perception of educational data and its alignment with professional competencies.

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Area of Science:

  • Medical Education
  • Health Informatics
  • Data Visualization

Background:

  • Continuous improvement in healthcare education is essential for developing competent health professionals.
  • Limited research exists on leveraging educational data manipulation for healthcare education enhancement.
  • Visual analytics offers a powerful approach by integrating big data analysis, visualization, and human cognitive pattern recognition.

Purpose of the Study:

  • To explore novel methods for representing curriculum and educational data using visual analytics.
  • To identify potential discrepancies between undergraduate medical program competencies and higher education board standards.
  • To assess the impact of different visual representations on understanding curriculum data.

Main Methods:

  • Development and presentation of three distinct visualization and representation approaches for educational data.
  • Analysis of curriculum data from an undergraduate medical program.
  • Identification and comparison of course-level competencies against external board competencies.

Main Results:

  • Five competencies at the undergraduate medical program level were found to inaccurately correspond to higher education board competencies.
  • Different visual representations demonstrated potential in improving the perception of entities and connections within curriculum data.
  • The study highlighted the utility of visual analytics in uncovering curriculum misalignments.

Conclusions:

  • Visual analytics provides innovative ways to represent and analyze healthcare education data.
  • Effective visualization can aid in identifying and rectifying curriculum gaps and competency misalignments.
  • Further research into visual analytics applications can significantly contribute to healthcare education improvement.