Images can be ready before you are. eRAD technology not only pre-fetches relevant priors from third-party systems, it can also pre-cache studies—pull certain studies for certain radiologists, according to customer rules, and have them waiting at specified local workstations for faster access. With studies ready, eRAD keeps productivity high.
eRAD goes beyond the standard pre-fetch of relevant priors based on patient name or MRN; eRAD users can be very granular about which data is considered relevant and pull those priors from other PACS and third-party DICOM archives. Vendor-neutral pre-fetching means that radiologists not only get the best patient information quickly but also that expensive and time-consuming data migrations can be avoided. Data can simply be pre-fetched from a legacy system instead of migrated. The wait time for priors is slashed from hours or days to minutes, so radiologists can focus on patient care.
eRAD’s powerful and highly configurable rules engine allows users to pre-cache images to their local workstation in advance of reading. Without this technology, images must be streamed in real time over the network, which isn’t always practical due to limitations in bandwidth, study size and volume. Rules govern which radiologists get which studies, and those studies are sent to specified local workstations so that clinicians can begin reads immediately. The rules engine is easy to manage, and any conceivable rule can be created and changed without complexity.
Under the Hood | PACS Server
- Ready before you are.
eRAD technology not only pre-fetches relevant priors from third-party systems or PACS servers, it can also pre-cache studies—pull certain studies for certain radiologists, according to custom rules and stage them on the local workstation in advance of reading. Physicians avoid slow streaming, and network performance increases.
- Study data in the cloud.
eRAD PACS cloud servers redirect access to locally hosted data, streamlining data transfers across the enterprise. Image data is distributed and accessed according to intelligent rules when it’s most efficient and necessary.