Dataflow Manager doesn't necessarily need to replace any existing technologies a customer may be using. Dataflow Manager replaces manual processes, and workflows that happen outside of existing technology solutions.
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Dataflow Manager does not store clinical data. While Dataflow Manager does have the ability to integrate clinical data and extract it for analysis, this is not a primary function of the system.
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Dataflow Manager leverages virtual data federation, which aggregates data across data sources via web services. We sometimes call this “virtual integration”, as no data is actually moved.
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Dataflow Manager provides the ability to configure expected time lines and milestones of the study, sites, and subjects, as well as data related events. Using this plan, the user is able to relate expected schedules for clinical events, and relate them to expected data events. Using this information, Dataflow Manager “knows” when and what data should be available against what is expected - in real time.
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Dataflow Manager offers its users the ability to not only manage data through a web-based electronic interface, but to manage data across disparate data sources and systems. The technology is designed to allow the user/sponsor to define a holistic data workflow and related terminologies that are then used to access the data status
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Dataflow Manager uses the information it gains from the above features to ensure the ultimate goal in managing clinical trials is met: knowing if/when the data is ready for analysis. Dataflow Manager provides the ability to define specific “states” of the data throughout the trial. User defined algorithms are easily configured to support the simplest to the most complex questions about the state of the data.
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