2017 IEEE Workshop on Visual Analytics in Healthcare VAHC

活动简介

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.

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.

征稿信息

重要日期

2017-05-15

初稿截稿日期

2017-06-19

初稿录用日期

2017-07-06

终稿截稿日期

征稿范围

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