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A Log-Level Data-Driven Precision Education Tool for Pediatrics Trainees: Human-Centered Development and Validation

Alexander Fidel1, Mark V Mai2, Naveen Muthu2

  • 1Center for Healthcare Quality and Analytics, Children's Hospital of Philadelphia, 734 Schuylkill Ave, Philadelphia, PA, 19146, United States, 1 602-284-8098.

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Summary
This summary is machine-generated.

This study developed a tool to visualize electronic health record data for graduate medical education (GME) trainees. The human-centered design approach resulted in a validated tool to support planned learning needs.

Keywords:
HCDcognitive ergonomicsdecision supportexperience trackinghuman factors engineeringhuman-centered designhuman-computer interactionplanned learning

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Area of Science:

  • Medical Informatics
  • Graduate Medical Education
  • Human-Centered Design

Background:

  • Graduate medical education (GME) relies on patient exposure for learning.
  • Measuring trainee practice data is crucial for assessing needs and planning learning.
  • An automated system was previously developed to identify resident provider-patient interactions.

Purpose of the Study:

  • To understand trainees' planned learning needs using human-centered design.
  • To design, build, and validate a tool using an automated interaction system to meet these needs.

Main Methods:

  • Mixed methods approach with purposive sampling across two institutions.
  • Qualitative data from interviews and prototype testing analyzed through iterative coding.
  • Quantitative measures (time on task, completion rate) used in summative usability testing.

Main Results:

  • A GME work domain assessment identified trainee-mentor meetings as key for delivering practice information.
  • A "midpoint" report prototype with 5 visualizations was developed through iterative design.
  • Summative usability testing showed high performance, indicating an unmet need for such tools.

Conclusions:

  • A tool visualizing electronic health record data was developed using human-centered design for GME.
  • The validated prototype supports the development of master adaptive learners.
  • The design and development process can be applied to other clinical informatics tools.