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Heimdall, a Computer Program for Electronic Health Records Data Visualization.

Niels Martignene1, Thibaut Balcaen2, Guillaume Bouzille3

  • 1Univ. Lille, CHU Lille, CERIM EA2694, F-59000 Lille, France.

Studies in Health Technology and Informatics
|June 24, 2020
PubMed
Summary
This summary is machine-generated.

Heimdall visualizes electronic health record (EHR) data, simplifying complex temporal information for clinicians and researchers. This tool enhances data accessibility and reduces cognitive load for better patient care and research insights.

Keywords:
Electronic health recordsFeature extractionTimelineVisualization

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Area of Science:

  • Health Informatics
  • Data Visualization
  • Clinical Research

Background:

  • Electronic health records (EHR) contain time-dependent structured and unstructured data, often leading to information overload.
  • Efficiently accessing relevant EHR data with minimal cognitive overhead is crucial for clinical care and medical research.
  • Existing visualization methods struggle to display comprehensive EHR data without overwhelming users.

Purpose of the Study:

  • To develop simple and effective visualization techniques for handling medical data from EHRs.
  • To address the challenge of information overload in EHR data display.
  • To facilitate quick information retrieval for both clinical and research contexts.

Main Methods:

  • An abstraction layer for structured EHR data was designed based on literature review and expert discussions.
  • The 'Heimdall' prototype was developed to implement the proposed visualization techniques.
  • Two experts evaluated the Heimdall tool using 24 clinical cases, answering specific questions.

Main Results:

  • Temporal EHR data was abstracted into three types: events, states, and measures, each with distinct visual representations.
  • Heimdall effectively displays complex, heterogeneous, structured temporal data on a shared timeline.
  • Features like temporal/hierarchical compression and filters enable data summarization and problem-oriented views, with conclusive evaluation results.

Conclusions:

  • The Heimdall prototype offers a comprehensive and efficient graphical interface for EHR data visualization.
  • It is an open-source tool, available with an R package, promoting accessibility.
  • Heimdall aids in managing and interpreting complex EHR data, benefiting clinical practice and research.