News | March 17, 2009

SIIM Membership Survey Reveals Members Highly Value Annual Meeting

March 17, 2009 - The Society for Imaging Informatics in Medicine (SIIM) released results of its 2008/2009 membership survey, which revealed that SIIM members place high value on the education program and exhibits at the SIIM Annual Meeting.

The survey of almost 500 members indicated that the respondents have attended at least one SIIM Annual Meeting, and the annual meeting is ranked highest among SIIM programs. Current pre-registration numbers for SIIM 2009 are holding steady with an average of the past 3 years attendance (2006-2008). The SIIM Marketing Committee will present highlights of the survey for further discussion at the upcoming SIIM 2009 Annual Meeting in Charlotte, NC, June 4-7, 2009.

The survey of SIIM membership continues to shape the direction and development of educational and informational programs offered by SIIM, according to the organization. Respondents' top-rated educational topics included interoperability and integration, communicating results, bridging the IT and clinical perspectives, image-enabled electronic health record (EHR), troubleshooting PACS and implementation issues, advanced processing and visualization, and breast imaging informatics. The SIIM 2009 Annual Meeting has been updated and streamlined this year to spotlight these core focus areas in nine Learning Tracks, and to emphasize essentials such as implementing cost-effective solutions for attendees to take back and share with colleagues at their institutions.

For more information: www.siimweb.org, www.siim2009.org

Related Content

FDA Clears Bay Labs' EchoMD AutoEF Software for AI Echo Analysis
Technology | Cardiovascular Ultrasound | June 19, 2018
Cardiovascular imaging artificial intelligence (AI) company Bay Labs announced its EchoMD AutoEF software received 510(...
News | Remote Viewing Systems | June 14, 2018
International Medical Solutions (IMS) recently announced that the American College of Radiology (ACR) added IMS'...
Wake Radiology Launches First Installation of EnvoyAI Platform
News | Artificial Intelligence | June 13, 2018
Artificial intelligence (AI) platform provider EnvoyAI recently completed their first successful customer installation...
How AI and Deep Learning Will Enable Cancer Diagnosis Via Ultrasound

The red outline shows the manually segmented boundary of a carcinoma, while the deep learning-predicted boundaries are shown in blue, green and cyan. Copyright 2018 Kumar et al. under Creative Commons Attribution License.

News | Ultrasound Imaging | June 12, 2018 | Tony Kontzer
June 12, 2018 — Viksit Kumar didn’t know his mother had...
Zebra Medical Vision Unveils AI-Based Chest X-ray Research
News | Artificial Intelligence | June 08, 2018
June 8, 2018 — Zebra Medical Vision unveiled its Textray chest X-ray research, which will form the basis for a future
Konica Minolta Launches AeroRemote Insights for Digital Radiography
Technology | Analytics Software | June 07, 2018
Konica Minolta Healthcare Americas Inc. announced the release of AeroRemote Insights, a cloud-based, business...
Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Vinay Vaidya, Chief Medical Information Officer at Phoenix Children’s Hospital

Sponsored Content | Case Study | Artificial Intelligence | June 05, 2018
The power to predict a cardiac arrest, support a clinical diagnosis or nudge a provider when it is time to issue medi
How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

How image sharing through a health information exchange benefits patients while saving time and money is depicted in this slide shown at HIMSS 2018. Graphic courtesy of Karan Mansukhani.

Feature | Information Technology | June 05, 2018 | By Greg Freiherr
A regional image exchange system is saving lives and reducing radiology costs in Maryland by improving the efficiency
Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Using Imaging Analytics for Radiology, VCU Health in Richmond, Va., has developed a dashboard to view turnaround time analysis. This functionality allows drill down for each technologist and radiologist and looks at the different steps of the imaging cycle.

Sponsored Content | Case Study | Information Technology | June 05, 2018
Sharon Gibbs, director of the radiology department at VCU Health in Richmond, Va., aims to provide quality, timely and...
PACS and the Road to Reconstruction
Feature | PACS | June 05, 2018 | By Dave Whitney and Jef Williams
The PACS — picture archiving and communication systems — have been in existence for more than 45 years. One of the...
Overlay Init