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A Structured Framework for Electronic Health Record Optimization: The EASY Program.

Obeid M Shafi1,2, Daniel Liu1,2, James S Magee3

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|March 17, 2026
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Summary
This summary is machine-generated.

The EASY EHR Optimization program improved clinician satisfaction and workflow efficiency using a structured, data-informed approach. This scalable model offers a replicable framework for enhancing electronic health record usability and reducing provider burden.

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Area of Science:

  • Health Informatics
  • Clinical Workflow Optimization
  • Electronic Health Records (EHRs)

Background:

  • Electronic health records (EHRs) present ongoing challenges in usability, workflow efficiency, and clinician burden.
  • Limited scalable and replicable EHR optimization programs exist in current literature.

Purpose of the Study:

  • To detail the development, implementation, and outcomes of the EASY (Eliminate, Automate, Standardize, and Simplify, Y'all) EHR Optimization program.
  • To enhance EHR usability, provider satisfaction, and workflow efficiency via a multidisciplinary, data-informed strategy.

Main Methods:

  • The EASY program utilizes a three-phase model (People, Process, Technology) with user-centered design.
  • Employs clinician observations, surveys, EHR analytics (Epic Signal and Tune-Up reports), and structured documentation (SOAARR).
  • Adopted a sprint-based implementation cycle (4-6 weeks) for iterative improvements and engagement.

Main Results:

  • EASY demonstrated user-reported improvements in satisfaction, workflow alignment, and communication transparency.
  • EHR analytics showed enhanced documentation efficiency, optimized ordering practices, and reduced time in specific EHR functions.
  • Usability enhancements were data-informed and guided by clinician feedback, ranging from simple fixes to complex builds.

Conclusions:

  • The EASY program aligns with best practices in EHR optimization, emphasizing provider engagement, data-driven decisions, and collaboration.
  • Its modular design and analytical rigor allow adaptability across diverse clinical settings.
  • Offers a practical, scalable, and replicable framework for informatics teams to improve EHR usability and reduce clinician burden.