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Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung
The topic of routine medical care data and healthcare science has gained in relevance and provides an important basis for both healthcare policymakers and those providing care. Access to relevant data and the ability to analyze these is highly competitive as it yields the most compelling arguments a...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Medizin
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208933/ https://www.ncbi.nlm.nih.gov/pubmed/34047813 http://dx.doi.org/10.1007/s00120-021-01545-1 |
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author | Goebell, Peter J. El-Khadra, Sulafah Horstmann, Marcus Kollenbach, Peter Lüdecke, Gerson Quack, Thomas Rug, Michael Stephan-Odenthal, Michael Bode-Greuel, Kerstin Zink, Saskia Lieberkühn, Patrick Schulze, Matthias |
author_facet | Goebell, Peter J. El-Khadra, Sulafah Horstmann, Marcus Kollenbach, Peter Lüdecke, Gerson Quack, Thomas Rug, Michael Stephan-Odenthal, Michael Bode-Greuel, Kerstin Zink, Saskia Lieberkühn, Patrick Schulze, Matthias |
author_sort | Goebell, Peter J. |
collection | PubMed |
description | The topic of routine medical care data and healthcare science has gained in relevance and provides an important basis for both healthcare policymakers and those providing care. Access to relevant data and the ability to analyze these is highly competitive as it yields the most compelling arguments and strong facts in any discourse on the ultimately limited resources of the entire healthcare sector. All randomized clinical trials and prospective data collections harbor the inherent similarity that they contain data within a predefined frame of data elements in order to control for any confounding factors. In addition, analyses using retrospective data collections use a predefined evaluation matrix and filter the existing data according to these established data elements. However, an unfiltered and un(pre)specified view to all data would be ideal. An approximation to this goal as part of this project could be the unfiltered collection of as much data as possible and their collection in a data pool, which then could be processed, in a constantly improving analyses algorithm. The automated self-extraction of data from the private-practice information technology (IT) system to UROscience will create a data pool which could be used to answer many different questions related to the reality of healthcare. The preliminary analyses presented here demonstrate that, on basis of the existing data, this versatile sample is available to provide insight into the treatment reality of urologic outpatient care. |
format | Online Article Text |
id | pubmed-8208933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer Medizin |
record_format | MEDLINE/PubMed |
spelling | pubmed-82089332021-07-01 Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung Goebell, Peter J. El-Khadra, Sulafah Horstmann, Marcus Kollenbach, Peter Lüdecke, Gerson Quack, Thomas Rug, Michael Stephan-Odenthal, Michael Bode-Greuel, Kerstin Zink, Saskia Lieberkühn, Patrick Schulze, Matthias Urologe A Übersichten The topic of routine medical care data and healthcare science has gained in relevance and provides an important basis for both healthcare policymakers and those providing care. Access to relevant data and the ability to analyze these is highly competitive as it yields the most compelling arguments and strong facts in any discourse on the ultimately limited resources of the entire healthcare sector. All randomized clinical trials and prospective data collections harbor the inherent similarity that they contain data within a predefined frame of data elements in order to control for any confounding factors. In addition, analyses using retrospective data collections use a predefined evaluation matrix and filter the existing data according to these established data elements. However, an unfiltered and un(pre)specified view to all data would be ideal. An approximation to this goal as part of this project could be the unfiltered collection of as much data as possible and their collection in a data pool, which then could be processed, in a constantly improving analyses algorithm. The automated self-extraction of data from the private-practice information technology (IT) system to UROscience will create a data pool which could be used to answer many different questions related to the reality of healthcare. The preliminary analyses presented here demonstrate that, on basis of the existing data, this versatile sample is available to provide insight into the treatment reality of urologic outpatient care. Springer Medizin 2021-05-28 2021 /pmc/articles/PMC8208933/ /pubmed/34047813 http://dx.doi.org/10.1007/s00120-021-01545-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access Dieser Artikel wird unter der Creative Commons Namensnennung 4.0 International Lizenz veröffentlicht, welche die Nutzung, Vervielfältigung, Bearbeitung, Verbreitung und Wiedergabe in jeglichem Medium und Format erlaubt, sofern Sie den/die ursprünglichen Autor(en) und die Quelle ordnungsgemäß nennen, einen Link zur Creative Commons Lizenz beifügen und angeben, ob Änderungen vorgenommen wurden. Die in diesem Artikel enthaltenen Bilder und sonstiges Drittmaterial unterliegen ebenfalls der genannten Creative Commons Lizenz, sofern sich aus der Abbildungslegende nichts anderes ergibt. Sofern das betreffende Material nicht unter der genannten Creative Commons Lizenz steht und die betreffende Handlung nicht nach gesetzlichen Vorschriften erlaubt ist, ist für die oben aufgeführten Weiterverwendungen des Materials die Einwilligung des jeweiligen Rechteinhabers einzuholen. Weitere Details zur Lizenz entnehmen Sie bitte der Lizenzinformation auf http://creativecommons.org/licenses/by/4.0/deed.de (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Übersichten Goebell, Peter J. El-Khadra, Sulafah Horstmann, Marcus Kollenbach, Peter Lüdecke, Gerson Quack, Thomas Rug, Michael Stephan-Odenthal, Michael Bode-Greuel, Kerstin Zink, Saskia Lieberkühn, Patrick Schulze, Matthias Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title | Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title_full | Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title_fullStr | Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title_full_unstemmed | Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title_short | Was machen Urologen in der Praxis?: Ein erster „ungefilterter“ Blick auf die Versorgung |
title_sort | was machen urologen in der praxis?: ein erster „ungefilterter“ blick auf die versorgung |
topic | Übersichten |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8208933/ https://www.ncbi.nlm.nih.gov/pubmed/34047813 http://dx.doi.org/10.1007/s00120-021-01545-1 |
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