The promise of id2Health system is to share data and imaging services to the right people at the right time, exactly where and when it is required. This promise demands knowledge and enstablished structure.
Our objective is to develop technology that addresses the timely delivery of large data sets, such as diagnostic images, to id2Health collaborators in the context of their local working environment. Our approach demands the following:
Ability to discover the "full imaging jacket" from any digital imaging system or other clinical system usin a simple web browser.
Ability to securely access remotely any imaging data set, report, and supporting document within seconds of initiating a request. This requirement holds true over bandwidths as low as 10mbps.
Ability to securely retrieve any imaging data set, report, and supporting document or/and integrate them into the local digital imaging system.
The systDICOM is integrated with a grid storage structure that combines a Service Oriented Architecture (SOA) and an Event Driven Architecture (EDA) to provide intelligent imaging content delivery.
systDICOM has been designed to support an innovative method of publishing and discovering patient longitudinal records. The intelligent imaging content delivery layer manages the distribution of data in advance of user requests based on a variety of trigger events: push mode. The adapters support data localization, WADO-URI (previously known simply as WADO), WADO-RS, QIDO-RS and STOW-RS on-demand viewing and interfacing with the federated security infrastructure.