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

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...

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Autores principales: Kessel, Kerstin A., Combs, Stephanie E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647666/
https://www.ncbi.nlm.nih.gov/pubmed/26572494
http://dx.doi.org/10.1186/s13014-015-0543-0
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author Kessel, Kerstin A.
Combs, Stephanie E.
author_facet Kessel, Kerstin A.
Combs, Stephanie E.
author_sort Kessel, Kerstin A.
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-015-0543-0) contains supplementary material, which is available to authorized users.
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spelling pubmed-46476662015-11-18 Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey Kessel, Kerstin A. Combs, Stephanie E. Radiat Oncol Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13014-015-0543-0) contains supplementary material, which is available to authorized users. BioMed Central 2015-11-16 /pmc/articles/PMC4647666/ /pubmed/26572494 http://dx.doi.org/10.1186/s13014-015-0543-0 Text en © Kessel and Combs. 2015 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Kessel, Kerstin A.
Combs, Stephanie E.
Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title_full Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title_fullStr Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title_full_unstemmed Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title_short Data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
title_sort data management, documentation and analysis systems in radiation oncology: a multi-institutional survey
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4647666/
https://www.ncbi.nlm.nih.gov/pubmed/26572494
http://dx.doi.org/10.1186/s13014-015-0543-0
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