Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

CareVis: integrated visualization of computerized protocols and temporal patient data.

Wolfgang Aigner1, Silvia Miksch

  • 1Institute of Software Technology & Interactive Systems (ISIS), Vienna University of Technology, Favoritenstrasse 9-11/188, A-1040 Vienna, Austria. aigner@ifs.tuwien.ac.at

Artificial Intelligence in Medicine
|June 20, 2006
PubMed
Summary

This study introduces CareVis, an interactive visualization tool that integrates patient data with treatment information. CareVis helps clinicians analyze complex medical data by combining multiple views, improving understanding of patient conditions.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Enhancing Data Visualization Literacy: A Comparative Study of Learning Materials in Schools.

IEEE transactions on visualization and computer graphics·2025
Same author

Empowering Communities: Tailored Pandemic Data Visualization for Varied Tasks and Users.

IEEE computer graphics and applications·2025
Same author

Visual Analytics Meets Process Mining: Challenges and Opportunities.

IEEE computer graphics and applications·2025
Same author

Parallel Chords: an audio-visual analytics design for parallel coordinates.

Personal and ubiquitous computing·2024
Same author

UnDRground Tubes: Exploring Spatial Data with Multidimensional Projections and Set Visualization.

IEEE transactions on visualization and computer graphics·2024
Same author

Visual Exploration of Financial Data with Incremental Domain Knowledge.

Computer graphics forum : journal of the European Association for Computer Graphics·2024

Area of Science:

  • Medical Informatics
  • Data Visualization
  • Human-Computer Interaction

Background:

  • Current patient data analysis tools primarily visualize directly measured data.
  • Contextual treatment information, crucial for understanding patient data, is often excluded.
  • This gap hinders comprehensive analysis and explanation of observed phenomena.

Purpose of the Study:

  • To bridge the gap between patient data visualization and treatment information visualization.
  • To develop an integrated approach for analyzing complex patient and treatment data.
  • To enhance the understanding of patient data by incorporating treatment context.

Main Methods:

  • A user-centered development approach incorporating user studies, design reviews, and prototype evaluations.

Related Experiment Videos

  • Consideration of both temporal and logical data aspects.
  • Investigation of the PlanningLine glyph for temporal plan representation through a comparative user study.

    • Main Results:

    • Development of CareVis, an interactive visualization system with multiple, tightly coupled views.
    • Utilizes established visualization methods adapted for clinical algorithm maps and LifeLines, extended for the Asbru plan representation language.
    • Empirical evidence confirms PlanningLines effectively manage temporal uncertainty, with positive initial physician feedback.

    Conclusions:

    • Interactive integration of diverse visualization methods offers a novel approach.
    • Enables combining, relating, and analyzing previously separated medical data and information.
    • Facilitates a more holistic understanding of patient conditions and treatment pathways.