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Methods of Documentation VII: EMR

Methods of Documentation VII: EMR

Electronic Medical Records (EMRs) primarily center around electronically documenting patients' health information within a single healthcare organization or practice. They contain essential clinical data related to a patient's medical history, diagnoses, medications, treatment plans, lab results, and other pertinent information relevant to the specific encounter or episode of care. EMRs are designed to streamline documentation and workflow processes within individual healthcare...

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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.

JMIR Medical Education

|December 17, 2025

Summary

This summary is machine-generated.

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.

Keywords:

EMR acceptability adaptive algorithm adaptive program adaptive solutions clinical activities digital health electronic health records electronic medical records emergency care feasibility health data health informatics health professional education online learning online microlearning pilot study practice analytics trainee

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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.