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Setting Up a Stroke Team Algorithm and Conducting Simulation-based Training in the Emergency Department - A Practical Guide
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A web-based multidisciplinary team meeting visualisation system.

Hoijoon Jung1, Younhyun Jung2, David Dagan Feng1,3

  • 1Biomedical and Multimedia Information Technology Research Group, School of Computer Science, The University of Sydney, Sydney, Australia.

International Journal of Computer Assisted Radiology and Surgery
|May 23, 2019
PubMed
Summary
This summary is machine-generated.

A new Web-based Multidisciplinary Team Meeting (MDT) visualization system (WMDT-VS) allows individual clinicians to view and customize medical imaging data on personal devices, enhancing patient care discussions.

Keywords:
Collaborative visualisationMultidisciplinary team meetingsWeb-based medical visualisation

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Area of Science:

  • Medical imaging
  • Web technologies
  • Clinical practice

Background:

  • Multidisciplinary team meetings (MDTs) are crucial for patient management.
  • Medical imaging data are central to MDT discussions, typically viewed on a shared display.
  • Current methods limit individual data interaction and customization.

Purpose of the Study:

  • To develop a Web-based MDT visualization system (WMDT-VS).
  • To enable individual participants to view and customize medical imaging data on personal devices.
  • To enhance the visualization experience in MDTs.

Main Methods:

  • Developed WMDT-VS using advanced Web technologies.
  • Implemented features for 2D/3D visualization of multiple imaging modalities.
  • Supported access via diverse personal computing devices (smartphones, tablets, PCs).
  • Enabled customized participant views and integration of local image data.

Main Results:

  • Demonstrated WMDT-VS in simulated MDT settings with varied imaging data.
  • Evaluated compatibility and performance across consumer-level computing devices.
  • Showcased the system's ability to support individual data navigation and sharing.

Conclusions:

  • WMDT-VS offers a more comprehensive and interactive visualization experience for MDT participants.
  • The system facilitates personalized data interpretation and discussion.
  • It represents an advancement in utilizing technology for collaborative clinical decision-making.