How to Optimize Connection Between PACS and Clinical Data Warehouse: A Web Service Approach Based on Full Metadata Integration.
In: Studies in Health Technology & Informatics, Jg. 290 (2022-01-30), S. 27-31
academicJournal
Zugriff:
Clinical image data analysis is an active area of research. Integrating such data in a Clinical Data Warehouse (CDW) implies to unlock the PACS and RIS and to address interoperability and semantics issues. Based on specific functional and technical requirements, our goal was to propose a web service (I4DW) that allows users to query and access pixel data from a CDW by fully integrating and indexing imaging metadata. Here, we present the technical implementation of this workflow as well as the evaluation we carried out using a prostate cancer cohort use case. The query mechanism relies on a Dicom metadata hierarchy dynamically generated during the ETL Process. We evaluated the Dicom data transfer performance of I4DW, and found mean retrieval times of 5.94 seconds and 0.9 seconds to retrieve a complete DICOM series from the PACS and all metadata of a series. We could retrieve all patients and imaging tests of the prostate cancer cohort with a precision of 0.95 and a recall of 1. By leveraging the CMOVE method, our approach based on the Dicom protocol is scalable and domain-neutral. Future improvement will focus on performance optimization and de identification. [ABSTRACT FROM AUTHOR]
Copyright of Studies in Health Technology & Informatics is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Titel: |
How to Optimize Connection Between PACS and Clinical Data Warehouse: A Web Service Approach Based on Full Metadata Integration.
|
---|---|
Autor/in / Beteiligte Person: | Lemordant, Pierre ; Bouzille, Guillaume ; Mathieu, Romain ; Thenault, Ronan ; Gibaud, Bernard ; Garde, Cyril ; Campillo-Gimenez, Boris ; Goudet, Didier ; Delarche, Sébastien ; Roland, Yann ; Cuggia, Marc |
Zeitschrift: | Studies in Health Technology & Informatics, Jg. 290 (2022-01-30), S. 27-31 |
Veröffentlichung: | 2022 |
Medientyp: | academicJournal |
ISSN: | 0926-9630 (print) |
DOI: | 10.3233/SHTI220025 |
Sonstiges: |
|