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Data management, documentation and analysis systems in radiation oncology: A multi-institutional survey.

Radiat. Oncol. 10:230 (2015)
Verlagsversion Forschungsdaten Forschungsdaten DOI
Open Access Gold
Creative Commons Lizenzvertrag
Introduction: Recently, information availability has become more elaborate and widespread, and treatment decisions are based on a multitude of factors. Gathering relevant data, also referred to as Big Data, is therefore critical for reaching the best patient care, and enhancing interdisciplinary and clinical research. Combining patient data from all involved systems is essential to prepare unstructured data for analyses. This demands special coordination in data management. Our study aims to characterize current developments in German-speaking hospital departments and practices. We successfully conducted the survey with the members of the Deutsche Gesellschaft für Radioonkologie (DEGRO). Methods: A questionnaire was developed consisting of 17 questions related to data management, documentation and clinical trial analyses, reflecting the clinical topics such as basic patient information, imaging, follow-up information as well as connection of documentation tools with radiooncological treatment planning machines. Results: A total of 44 institutions completed the online survey (University hospitals n = 17, hospitals n = 13, practices/institutes n = 14). University hospitals, community hospitals and private practices are equally equipped concerning IT infrastructure for clinical use. However, private practices have a low interest in research work. All respondents stated the biggest obstacles about introducing a documentation system into their unit lie in funding and support of the central IT departments. Only 27 % (12/44) of responsible persons are specialists for documentation and data management. Conclusion: Our study gives an understanding of the challenges and solutions we need to be looking at for medical data storage. In the future, inter-departmental cross-links will enable the radiation oncology community to generate large-scale analyses.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Data Analysis ; Data Management ; Documentation System ; Electronic Data Capture ; Survey
ISSN (print) / ISBN 1748-717X
e-ISSN 1748-717X
Zeitschrift Radiation Oncology
Quellenangaben Band: 10, Heft: 1, Seiten: , Artikelnummer: 230 Supplement: ,
Verlag BioMed Central
Begutachtungsstatus Peer reviewed