Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
- 1. Institute of Innovative Radiotherapy (iRT), Helmholtz Zentrum München, Ingolstädter Landstraße 1, Neuherberg (Germany)
- 2. Department of Radiation Oncology, Technische Universität München (TUM), Ismaninger Straße 22, 81675 Munich (Germany)
Description
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). 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. 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. 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. The online version of this article (doi:10.1186/s13014-015-0543-0) contains supplementary material, which is available to authorized users
Availability note (English)
Available from http://dx.doi.org/10.1186/s13014-015-0543-0; Available from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647666Additional details
Identifiers
Publishing Information
- Journal Title
- Radiation Oncology (Online)
- Journal Volume
- 10
- Journal Page Range
- vp.
- ISSN
- 1748-717X
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 47070107
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- BIOMEDICAL RADIOGRAPHY; CLINICAL TRIALS; DATA ANALYSIS; DOCUMENTATION; HOSPITALS; PATIENTS; PUBLIC OPINION; RADIOTHERAPY
- Descriptors DEC
- BUILDINGS; DATA PROCESSING; DIAGNOSTIC TECHNIQUES; MEDICAL ESTABLISHMENTS; MEDICINE; NUCLEAR MEDICINE; PROCESSING; RADIOLOGY; TESTING; THERAPY
Optional Information
- Copyright
- Copyright (c) Kessel and Combs. 2015
- Notes
- PMCID: PMC4647666; PMID: 26572494; PUBLISHER-ID: 543; OAI: oai:pubmedcentral.nih.gov:4647666