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Intelligent Simulation Model To Facilitate EHR Training.

Vishnu Mohan1, Gretchen Scholl1, Jeffrey A Gold1

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Summary
This summary is machine-generated.

Standardized electronic health record (EHR) training protocols are lacking. This study proposes Six Principles for an intelligent simulation model to optimize EHR training by mimicking real-world clinical scenarios and cognitive demands.

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Area of Science:

  • Medical Informatics
  • Healthcare Simulation
  • Educational Technology

Background:

  • Electronic Health Record (EHR) systems are widely adopted but lack standardized training protocols.
  • Current EHR training methods may not adequately prepare users for real-world clinical complexities.
  • Simulation environments offer potential but require optimized models for effective training.

Purpose of the Study:

  • To propose a framework for developing an intelligent EHR simulation model.
  • To address the need for standardized, EHR-agnostic training principles.
  • To optimize EHR training by replicating realistic clinical conditions and cognitive loads.

Main Methods:

  • Development of Six Principles for EHR-agnostic simulation model design.
  • Focus on replicating real-world clinical conditions within the simulation.
  • Incorporation of appropriate cognitive load considerations into the simulation model.

Main Results:

  • A proposed framework based on Six Principles for intelligent EHR simulation.
  • The principles are designed to be adaptable across different EHR systems.
  • The model aims to enhance user preparedness for complex clinical environments.

Conclusions:

  • The proposed Six Principles offer a foundational framework for advanced EHR simulation training.
  • This approach can lead to more effective and standardized EHR user education.
  • Optimized simulation models are crucial for bridging the gap between training and clinical practice.