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Using Electronic Health Data to Deliver an Adaptive Online Learning Solution to Emergency Trainees: Mixed Methods
Anna Janssen1, Andrew Coggins2, James Tadros2
1Faculty of Medicine and Health, The University of Sydney, Charles Perkins Centre D17, Sydney, 2006, Australia, 61 2 9036 9406.
Electronic medical records (EMRs) can personalize web-based learning for physicians. This study found that using EMR data to deliver adaptive online training to emergency medicine trainees is feasible and acceptable.
Area of Science:
- Medical Education
- Health Informatics
- Digital Health
Background:
- Electronic medical records (EMRs) offer valuable insights into clinical activities.
- EMR data can personalize web-based learning for healthcare providers, aligning education with practice.
- There is growing interest in leveraging EMR data for performance assessment and continuous professional development.
Purpose of the Study:
- To assess the feasibility and acceptability of using EMR data for adaptive web-based learning.
- To evaluate an adaptive microlearning program for early-career physicians.
Main Methods:
- An adaptive microlearning program delivered questions based on EMR data.
- The study involved 3 iterative design cycles with algorithm optimization.
- Feasibility and acceptability were evaluated via online surveys and learning platform metrics.
Main Results:
- All 75 participants triggered learning questions derived from their EMR data.
- Most participants received at least one question weekly.
- The majority found the program engaging and relevant to clinical practice.
Conclusions:
- Utilizing EMR data for adaptive online learning for emergency trainees is feasible and acceptable.
- Further research is needed to optimize adaptive learning designs for clinical practice alignment.
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