CALL FOR PAPERS, POSTERS, AND DEMONSTRATIONS: Workshop on Visual Analytics in Healthcare (VAHC) (In conjunction with IEEE VIS 2015, Oct 25th, Chicago, IL) Website: www.visualanalyticshealthcare.org *** Paper Submissions due July 17th, 2015 *** 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 (www.cs.umd.edu/hcil/parisehrvis/) 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, hospital-based 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 & interactive demonstrations. - Paper: Papers are limited to eight pages. Accepted papers will be published on the ACM Digital Library. - Poster: Poster abstract submissions are limited to two pages. - Demo: Demonstration abstract submissions are limited to two pages. Note that posters and demos will NOT appear in the ACM Digital Library, they will only be posted on the VAHC website. Contact vahc.sig at gmail.com if you have any questions. IMPORTANT DATES: ---------------- Deadline for submission: July 17th, 2015 Notification of acceptance: August 28th, 2015 Camera-ready papers due: Sept 18th, 2015 VAHC 2015 workshop: October 25th, 2015 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 is now available: http://jamia.oxfordjournals.org/content/22/2. ORGANIZERS: ---------------- Theresia Gschwandtner - Vienna University of Technology (gschwandtner at cvast.tuwien.ac.at) Adam Perer - IBM T. J. Watson Research Center (adam.perer at us.ibm.com) Jürgen Bernard - Fraunhofer Institute for Computer Graphics Research (IGD), Darmstadt (juergen.bernard at igd.fraunhofer.de)