2015 Workshop on Visual Analytics in Healthcare

(In conjunction with the 2015 IEEE Vis Conference, October 25, Chicago, IL)



Call for Papers

The 2015 Workshop on Visual Analytics in Healthcare (VAHC 2015) is the sixth 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.

This year the VAHC 2015 workshop is co-located with the IEEE VIS conference in Chicago, Illinois. To formalize the community, the VAHC workshop and the workshop on Visualizing Electronic Health Record Data -- EHRVis ( have merged and plan on hosting events at IEEE VIS and the American Medical Informatics Association (AMIA) Annual Symposium, alternating yearly.

Topics and Scope

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, hospitalbased quality assurance officers, insurance claim analysts, and patients.

Topics of interests include but are not limited to:

  • Visual Analytics of health data (e.g., in surgery, radiology, Electronic Health Records, emergency room and operation room, patient safety, Public Health Data, patient-generated health data, clinical data, drugs)
  • Visual Analytics for forecasting and tracking of health data (e.g., pandemic forecasting and tracking, outcome forecasting or prediction)
  • Improving patient understanding and/or physician-patient communication with Visual Analytics
  • Dashboards for health data (e.g., Public Health Surveillance programs)

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 and interactive demonstrations.

  • Full paper: Papers are limited to eight pages. Submitted papers must use the ACM templates which are available here. Accepted papers will be published on the ACM Digital Library and are subject to all ACM publishing policies.
  • Poster: Poster submissions are limited to two pages (use the ACM format templates).
  • Demo: Demonstration submissions are limited two pages (use the ACM format templates).
Authors of accepted full papers need to incorporate an ACM Rights Statement in their camera-ready papers. Moreover, they need to generate and include ACM Computing Classification System (CCS) codes, using the CCS 2012 Author Support Tool (see instructions under 'Generate CCS Codes' top right of the page). Note that posters and demos will NOT appear in the ACM Digital Library, they will only be posted on the VAHC website. Thus, poster and demo authors must NOT include a copyright notice but instead say 'Copyright held by the owner/author(s)' (LaTeX: \setcopyright{rightsretained}). Contact vahc.sig at if you have any questions.

Important Dates

  • Deadline for submission:      July 31st, 2015 (extended)
  • Notification of acceptance:  September 4th, 2015
  • Camera-ready papers due:   September 18th, 2015
  • Workshop:                          October 25th, 2015


Theresia Gschwandtner - Vienna University of Technology (gschwandtner at
Adam Perer - IBM T. J. Watson Research Center (adam.perer at
Jürgen Bernard - Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt (juergen.bernard at

Steering Committee

Jesus J Caban - NICoE, Walter Reed National Military Medical Center (jesus.j.caban.civ at
David Gotz - University of North Carolina (gotz at
Silvia Miksch - Vienna University of Technology (miksch at
Catherine Plaisant - University of Maryland (plaisant at