Related Experiment Video
Updated: Dec 23, 2025

06:18
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
Published on: April 5, 2024
1.4K
Unlocking the PACS DICOM Domain for its Use in Clinical Research Data Warehouses
Mathias Kaspar1,2, Leon Liman3, Maximilian Ertl4
1Comprehensive Heart Failure Center and Department of Internal Medicine I, Würzburg University Hospital, Würzburg, Germany. kaspar_m@ukw.de.
Journal of Digital Imaging
|April 22, 2020
Summary
Integrating picture archiving and communication systems (PACS) with clinical data warehouses (DWHs) is viable for research. This enables combined clinical and imaging data queries, improving access to medical imaging metadata and images.
Area of Science:
- Medical Informatics
- Health Services Research
Background:
- Clinical Data Warehouses (DWHs) facilitate researcher access to pseudonymized clinical data.
- Integrating medical imaging data, specifically from Picture Archiving and Communication Systems (PACS), into DWHs is not well-established.
Purpose of the Study:
- To assess the feasibility of integrating a production PACS with a research DWH.
- To enable DWH queries that combine clinical and medical imaging metadata.
- To allow ad hoc display and download of images directly from the DWH.
Main Methods:
- Developed an application interface for querying a production PACS from a clinical research DWH.
- Evaluated performance of bulk metadata extraction from PACS to DWH.
- Assessed performance of ad hoc image retrieval (display and download) from PACS via DWH.
Main Results:
- The system integration was successful and utilized in four research use cases.
- Bulk metadata extraction times varied significantly based on the approach (median 0.09 to 12.52 seconds per patient).
- Ad hoc image retrieval took a median of 2.57 seconds for download and 5.55 to 40.77 seconds for display.
Conclusions:
- Full integration of production PACS with research DWHs is feasible and supports diverse research applications.
- Bulk extraction of basic imaging metadata is achievable; comprehensive metadata extraction is best suited for specific patient subgroups.

