1. Learn about the different software modules in the openPACS software project. 2. Integration of HIS/RIS/PACS with additional medical data sources enhances the understanding of the radiologist’s findings and observations. 3. Describe DICOM presentation states and structured reporting and its application within a clinical setting.

With advances in genomics and proteomics to predict disease, the role of imaging to support evidence-based medical practice, research, and education is now paramount. Yet existing PACS solutions are largely fragmented, proprietary, and/or costly. Combining several endeavors, openPACS is a comprehensive, integrated open source project that is fully DICOM-compliant, providing a foundation for incorporating advanced PACS developments and applications. openPACS includes: an image order entry system; an image server for routing and basic archive; an image viewer handling worklists and study review tasks with provisions for image analysis, sentinel image capture, and linking to medical databases (e.g., genomic, proteomic); and web-based result dissemination. This open source PACS is aimed at promoting collaboration among scientists. openPACS is based on EJB, XML, and other web service standards to provide extensibility. A classic wet read application is presented to demonstrate openPACS.