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id2Health Imaging Subsystem (systDICOM)

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:

  • Render information in viewing clients using Web along with streaming protocols such that data can be delivered to the user from where it is situated (“on-demand viewing”)
  • Share content at the “edge of the WAN” in advance of a user requesting so that it can be integrated into the local environment and delivered quickly in response to a request (“intelligent content delivery”).

id2Health Imaging Subsystem features

Discovery

Ability to discover the "full imaging jacket" from any digital imaging system or other clinical system usin a simple web browser.

Accessibility

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.

Retrieval

Ability to securely retrieve any imaging data set, report, and supporting document or/and integrate them into the local digital imaging system.

systDICOM expected workflow

  • Publish Reports
  • Publish Imaging Studies
  • Discover Longitudinal Records
  • Retrieve Imaging Studies
  • Retrieve Reports
  • Intelligent Content Delivery

systDICOM: The id2Health imaging subsystem

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.