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Area of Science:

  • Health Informatics
  • Human-Computer Interaction
  • Medical Software Engineering

Background:

  • Electronic health records (EHRs) are critical for modern healthcare but frequently criticized for usability issues.
  • Poor interaction design in EHRs leads to significant challenges for clinicians.
  • The 'display fragmentation problem' is a major contributor to EHR inefficiency and error.

Purpose of the Study:

  • To introduce a novel method for evaluating and visualizing display fragmentation in EHR systems.
  • To provide a tool for comparing the extent of display fragmentation across different EHR platforms.
  • To identify specific navigation pathways and information juxtaposition issues within EHR interfaces.

Main Methods:

  • Development of a quantitative method to assess display fragmentation.
  • Depiction of fragmentation extent through visual representations.
  • Analysis of navigation patterns and data presentation within EHRs.

Main Results:

  • The proposed method effectively quantifies and illustrates display fragmentation.
  • Identified specific areas where display fragmentation impacts user workflow and cognitive load.
  • Demonstrated the utility of the method in pinpointing design flaws.

Conclusions:

  • Display fragmentation is a quantifiable problem in EHRs with significant implications for usability.
  • The developed evaluation method can guide improvements in EHR interaction design.
  • Addressing display fragmentation can lead to more efficient, safer, and user-friendly EHR systems.