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"Annie T. Chen" <[log in to unmask]>
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Annie T. Chen
Sun, 9 Jun 2019 16:24:45 +0000
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Workshop on Visual Analytics in Healthcare (VAHC)
(In conjunction with IEEE VIS 2019, Oct 20th, Vancouver, BC, Canada)


*** Paper, Poster, and Demo Submissions due June 17th, 2019 ***

*** New this year ***
We are accepting posters for both original work, and for work previously accepted elsewhere -- or concurrently at VIS this year -- to foster increased discussion and dissemination of ideas from a wide variety of venues.

The 2019 Workshop on Visual Analytics in Healthcare (VAHC 2019) is the tenth annual workshop that provides an opportunity for participants to discuss state-of-the-art data visualization techniques and review how such techniques can be applied to healthcare data. The primary objective of the annual workshop is to bring together medical experts, leading scientists, and visionaries to discuss visualization techniques that can be applied to healthcare data and discuss the areas of healthcare that need more attention from the visualization and visual data mining communities. The workshop will enable participants to showcase their ongoing work on visual analytics of healthcare-related data through podium, posters, or demo presentations as well as to learn more about emerging techniques, software applications, and datasets. In years past, demos of prototype and/or production visual analytics software have been particularly well received, and paper submitters should also consider submitting a companion demo proposal.

During the last nine years the Workshop on Visual Analytics in Healthcare (VAHC) has been organized and hosted annually. The VAHC workshop has been hosted five times at the IEEE VIS conference (2010, 2011, 2012, 2015, and 2017) and four times at the AMIA Annual Symposium (2013, 2014, 2016, and 2018). This year the VAHC 2019 workshop is held in conjunction with the IEEE VIS conference in Vancouver, BC, Canada. For information about all previous VAHC events and to access the open-access proceedings from each of the previous workshops, please see<>.

We will welcome discussions of the use of visual approaches, interaction design, statistical methods, and machine learning for healthcare data analysis. Participants may address the needs of a variety of users, including clinical researchers, epidemiologists, public health analysts, pharmaco-vigilance experts, physicians, hospital-based quality assurance officers, insurance claim analysts, and patients.

Topics of interests include but are not limited to:
* Visualization of public health data
* Visualization of patient-generated health data
* Design principles of dashboards for public health surveillance programs
* Visual analysis and exploration of longitudinal clinical data
* Visual data mining of electronic medical records (EMRs)
* Visualization of drug-drug interactions
* Improving hospital and operating room (OR) workflow with visual analytics
* Outcome forecasting or prediction
* Visual analytics for patient safety
* Pandemic forecasting and tracking
* Visual analytics in radiology
* Visual analytics in the emergency department (ED)
* Improving patient understanding and/or physician-patient communication with visual analytics
* Visual analytics as a means for knowledge discovery
* Human-computer interaction with EHRs

We encourage a diverse range of submissions and demonstrations from academia, healthcare organizations, and industry that address any of the topics listed above.  Submissions can be for (1) paper / podium presentations, (2) poster presentations, or (3) live & interactive demonstrations.

- Paper: Papers are limited to eight pages. We anticipate that accepted papers will be published in the IEEE Xplore digital library.
- Poster: Poster abstract submissions are limited to two pages..
- Demo: Demonstration abstract submissions are limited to two pages.

Accepted papers, poster, and demonstration abstracts will be included in the VAHC proceedings and made available via the IEEE VIS USB stick or digital download.
All material should be submitted via the Precision Conference System (PCS):

For all submissions, please use the VGTC conference style template:

Contact vahc.sig at if you have any questions.

Deadline for submission:June 17th, 2019
Notification of acceptance:August 5th, 2019
Camera-ready papers due: August 22th, 2019
VAHC 2019 workshop: October 20th, 2019

Visit to join our mailing list.

Proceedings of the 2018 Workshop on Visual Analytics in Healthcare (VAHC 2018) are now available at

Theresia Gschwandtner - TU Wien (gschwandtner at
Jürgen Bernard - Darmstadt University of Technology, Germany (juergen.bernard at
David Borland - RENCI, The University of North Carolina at Chapel Hill (borland at
David Gotz - University of North Carolina - Chapel Hill

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