[Ieee_vis] CFP: 2014 Workshop on Visual Analytics in Healthcare (VAHC)

[Visual Analytics Healthcare]

          CALL FOR PAPERS, POSTERS AND DEMONSTRATIONS:

                  Workshop on Visual Analytics in Healthcare
     (In conjunction with AMIA 2014, Nov 15th or 16th, Washington, DC)


              Website: www.visualanalyticshealthcare.org


          *** Paper Submissions Due August 31st, 2014 ***


CALL FOR PAPERS:
-------------------------------
The 2014 Workshop on Visual Analytics in Healthcare (VAHC 2014) is the
5th 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 clinical data. The primary objective
of the annual workshop is to bring together clinicians, leading
scientists and visionaries to discuss visualization techniques that
can be applied to clinical settings 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.

To help transition visual analytics from research concepts to
practice, for the second year the VAHC workshop will be co-located
with the 2014 American Medical Informatics Association (AMIA) Annual
Symposium.



TOPICS AND SCOPE:
---------------------------------
Topics of interests include but are not limited to:
  * Visual analysis and exploration of longitudinal clinical trial data
  * Visual data mining of electronic health records
  * Visualization of prescriptions drugs and interactions
  * Improving operating room (OR) workflow with visual analytics
  * Outcome forecasting or prediction
  * Interactive systems to explore large clinical datasets
  * Visual analytics for patient safety
  * Pandemic forecasting and tracking
  * Visual analytics in surgery / radiology / OR / emergency room (ER)
  * Improving patients understanding with visual analytics
  * Clinical dashboards
  * Summarization of electronic records
  * Visual data fusion
  * Position papers advocating for specific visual analytics topics in
healthcare
  * Visualization of Big Data in healthcare



PAPER SUBMISSION AND FORMAT GUIDELINES:
-----------------------------------------------------------------------------
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
demonstrations.

  - Paper: Papers must be no more than six pages in length, inclusive
of figures and references.  Papers should be formatted in AMIA or IEEE
format styles.  Manuscripts must be submitted as Adobe Portable
Document Format (PDF) files.  Other file formats will not be accepted.

  - Poster: Poster abstract submissions are limited to two pages.

  - Demo: Demonstration abstract submissions are limited two pages.



IMPORTANT DATES:
--------------------------------
 Deadline for submission:           August 31st, 2014
 Notification of Acceptance:       September 25th, 2014
 Camera-ready Papers Due:       October 10th, 2014
 Workshop:                               November 15th or 16th, 2014



JOIN OUR MAILING LIST:
--------------------------------------
Visit www.visualanalyticshealthcare.org to join our mailing list.



NEWS:
-----------
The Journal of the American Medical Informatics Association (JAMIA)
Special Issue on Visual Analytics will be published later this year.
See http://jamia.bmj.com for additional information.



ORGANIZERS:
----------------------
Jesus J. Caban
NICoE, Walter Reed Bethesda /  jesus.j.caban.civ at health.mil

David Gotz
University of North Carolina /  gotz at unc.edu

Adam Perer, PhD
IBM T.J. Watson Research Center/  adam.perer at us.ibm.com

Hadi Kharrazi, MD, PhD
Johns Hopkins Bloomberg School of Public Health