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  11. Historiview: Implementation And Evaluation Of A Novel Approach To Review A Patient Using A Scalable Space-efficient Timeline Without Zoom Interactions.

HistoriView: Implementation and Evaluation of a Novel Approach to Review a Patient Using a Scalable Space-Efficient Timeline without Zoom Interactions.

Heekyong Park1, Taowei David Wang1,2, Nich Wattanasin1

  • 1Department of Research Information Science and Computing, Mass General Brigham, Somerville, Massachusetts, United States.

Applied Clinical Informatics
|February 15, 2024

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View abstract on PubMed

Summary
This summary is machine-generated.

HistoriView offers an efficient, scalable timeline for reviewing complex patient data, improving clarity and interaction for researchers. This novel approach enhances data exploration without sacrificing information, even with large datasets.

Area of Science:

  • Medical Informatics
  • Data Visualization
  • Human-Computer Interaction

Background:

  • Patient data is often voluminous and intricate, leading to challenges in efficient review and analysis.
  • Existing timeline visualizations struggle with merged event representations, causing recognition and interaction problems.
  • Handling large patient datasets effectively remains a significant challenge in research.

Purpose of the Study:

  • To develop a scalable and efficient timeline visualization tool, HistoriView, to enhance patient data review for research.
  • To address the limitations of current timelines in handling complex and large-volume patient data.
  • To improve event recognition, reduce access ambiguity, and facilitate efficient interaction with patient histories.

Main Methods:

  • Developed HistoriView, a high-throughput, space-efficient timeline using nonstacking event representation.

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  • Implemented an overlay detection algorithm, y-shift visualization, and popup-based interaction for comprehensive analysis.
  • Deployed an i2b2 HistoriView plugin utilizing split query and event reduction for efficient data delivery.

    • Main Results:

    • HistoriView was found to be easy to use and learn, providing clear information without zooming.
    • Participants preferred HistoriView over stacked timelines, citing satisfaction with display, ease of use, and efficiency.
    • HistoriView efficiently visualized large datasets (32,630 records reduced to 2,019 artifacts) within acceptable timeframes, outperforming baseline limits.

    Conclusions:

    • HistoriView enables complete data exploration with a compact overview, beneficial for dense data and comparisons.
    • The tool effectively handles large patient data, preserving original information efficiently.
    • While effective, further improvements are suggested for exploring subconcept records.