Maybe you have wanted to create a similar search request for a PACS to consult comparable cases when making a diagnosis or to find matching cases for a clinical trial.
Conventional PACS are not capable of processing such requests. And although there are various powerful clinical applications to process image data and image data series to create significant clinical analyses, none of these analytic results can be merged with the clinical data of a single patient. However, retrieving this data is an essential prerequisite to perform such search queries.
SeDI is capable of answering such requests and providing the appropriate patient data. For the first time ever SeDI – as a semantic PACS – establishes the basis to search image data for specific attributes by integrating clinical data.
And as SeDI can query multiple attributes simultaneously, even complex searches are possible. In the example above, the query could be refined by more specific patient data like gender and age. With SeDI, you can easily find and access exactly the information you need – quickly and reliably.