Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses
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ORIGINAL PAPER
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses Mathias Kaspar 1,2 & Leon Liman 3 & Maximilian Ertl 4 & Georg Fette 1 & Lea Katharina Seidlmayer 1 & Laura Schreiber 1 & Frank Puppe 3 & Stefan Störk 1
# Society for Imaging Informatics in Medicine 2020
Abstract Clinical Data Warehouses (DWHs) are used to provide researchers with simplified access to pseudonymized and homogenized clinical routine data from multiple primary systems. Experience with the integration of imaging and metadata from picture archiving and communication systems (PACS), however, is rare. Our goal was therefore to analyze the viability of integrating a production PACS with a research DWH to enable DWH queries combining clinical and medical imaging metadata and to enable the DWH to display and download images ad hoc. We developed an application interface that enables to query the production PACS of a large hospital from a clinical research DWH containing pseudonymized data. We evaluated the performance of bulk extracting metadata from the PACS to the DWH and the performance of retrieving images ad hoc from the PACS for display and download within the DWH. We integrated the system into the query interface of our DWH and used it successfully in four use cases. The bulk extraction of imaging metadata required a median (quartiles) time of 0.09 (0.03–2.25) to 12.52 (4.11–37.30) seconds for a median (quartiles) number of 10 (3–29) to 103 (8–693) images per patient, depending on the extraction approach. The ad hoc image retrieval from the PACS required a median (quartiles) of 2.57 (2.57–2.79) seconds per image for the download, but 5.55 (4.91–6.06) seconds to display the first and 40.77 (38.60–41.63) seconds to display all images using the pure web-based viewer. A full integration of a production PACS with a research DWH is viable and enables various use cases in research. While the extraction of basic metadata from all images can be done with reasonable effort, the extraction of all metadata seems to be more appropriate for subgroups. Keywords Clinical data warehouse . Medical images . System integration . Secondary data usage
Introduction Frank Puppe and Stefan Störk contributed equally to this work. Electronic supplementary material The online version of this article (https://doi.org/10.1007/s10278-020-00334-0) contains supplementary material, which is available to authorized users. * Mathias Kaspar [email protected]; [email protected] 1
Comprehensive Heart Failure Center and Department of Internal Medicine I, Würzburg University Hospital, Würzburg, Germany
2
Department of Health Services Research, Carl von Ossietzky University of Oldenburg, Oldenburg, Germany
3
Chair of Computer Science VI, University of Würzburg, Würzburg, Germany
4
Service Center Medical Informatics, Würzburg University Hospital, Würzburg, Germany
Clinical Data Warehouses (DWHs) are used to provide researchers with simplified access to pseudonymized clinical routine data from multiple primary systems. DWHs can provide da
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