[Infovis] CFP: Visual Analytics in Healthcare Workshop at IEEE VIS 2017

Visual Analytics Healthcare vahc.sig at gmail.com
Tue Feb 7 19:24:15 CET 2017


Workshop on Visual Analytics in Healthcare (VAHC)
(In conjunction with IEEE VIS 2017, Oct 1st or Oct 2nd, Phoenix, Arizona)

Website: www.visualanalyticshealthcare.org

*** Paper Submissions due May 1st, 2017 ***

The 2017 Workshop on Visual Analytics in Healthcare (VAHC 2017) is the
eighth 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 allow
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 seven years the Workshop on Visual Analytics in
Healthcare (VAHC) has been organized and hosted annually. The VAHC
workshop has been hosted four times at the IEEE VIS conference (2010,
2011, 2012, and 2015) and three times at the AMIA Annual Symposium
(2013, 2014, and 2016). This year the VAHC 2017 workshop is held in
conjunction with the IEEE VIS conference in Phoenix, Arizona. For
information about all previous VAHC events and to access the
open-access proceedings from each of the previous workshops, please
see http://www.visualanalyticshealthcare.org.

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 EMRs
* Visualization of prescriptions 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 of EHRs

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

- Paper: Papers are limited to eight pages. Accepted papers will be
published on the IEEE Xplore digital library and the USB proceedings
drive of the IEEE VIS conference.

- Poster: Poster abstract submissions are limited to two pages.
Accepted posters will be included in the USB proceedings drive of the
IEEE VIS conference.

- Demo: Demonstration abstract submissions are limited to two pages.
Accepted demonstration abstracts will be included in the USB
proceedings drive of the IEEE VIS conference.

All material should be submitted via the Precision Conference System
(PCS). Contact vahc.sig at gmail.com if you have any questions.

Deadline for submission: May 1st, 2017
Notification of acceptance: Jun 19th, 2017 †
Camera-ready papers due: July 6th, 2017
VAHC 2017 workshop: October 1st or Oct 2nd, 2017 (to be determined by VIS 2017)

Visit www.visualanalyticshealthcare.org to join our mailing list.

Proceedings of the 2016 Workshop on Visual Analytics in Healthcare
(VAHC 2016) are now available at

Jurgen Bernard - Darmstadt University of Technology, Germany
(juergen.bernard at gris.tu-darmstadt.de)

Jesus J Caban - NICoE, Walter Reed National Military Medical Center

Theresia Gschwandtner - Vienna University of Technology (gschwandtner
at cvast.tuwien.ac.at)

Jeremy Warner - Vanderbilt University and the Vanderbilt-Ingram Cancer
Center, Nashville, TN (USA)

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