VAHC 2017 (8th workshop on Visual Analytics in Healthcare)
(Affiliated with IEEE VIS 2017, October 1st or October 2nd, Phoenix, Arizona)
CALL FOR PAPERS, POSTERS, and DEMONSTRATIONS
2017 Workshop on Visual Analytics in Healthcare(Affiliated with IEEE VIS 2017, October 1st or October 2nd, Phoenix, Arizona)
Call for Papers
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 past events.
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, 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
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.
- 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.
- Deadline for submission: May 1st, 2017
- Notification of acceptance: June 19th, 2017
- Camera-ready papers due: July 6th, 2017
- Workshop: October 1st or October 2nd, 2017 (to be determined by VIS 2017)
Jürgen Bernard - TU Darmstadt, 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)