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Visualizing the Invisible: Invisible Waste in Diagnostic Imaging
There is extensive waste in diagnostic imaging, at the same time as there are long waiting lists. While the problem of waste in diagnostics has been known for a long time, the problem persists. Accordingly, the objective of this study is to investigate various types of waste in imaging and why they...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702028/ https://www.ncbi.nlm.nih.gov/pubmed/34946419 http://dx.doi.org/10.3390/healthcare9121693 |
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author | Hofmann, Bjørn Andersen, Eivind Richter Kjelle, Elin |
author_facet | Hofmann, Bjørn Andersen, Eivind Richter Kjelle, Elin |
author_sort | Hofmann, Bjørn |
collection | PubMed |
description | There is extensive waste in diagnostic imaging, at the same time as there are long waiting lists. While the problem of waste in diagnostics has been known for a long time, the problem persists. Accordingly, the objective of this study is to investigate various types of waste in imaging and why they are so pervasive and persistent in today’s health services. After a short overview of different conceptions and types of waste in diagnostic imaging (in radiology), we identify two reasons why these types of waste are so difficult to address: (1) they are invisible in the healthcare system and (2) wasteful imaging is driven by strong external forces and internal drivers. Lastly, we present specific measures to address wasteful imaging. Visualizing and identifying the waste in diagnostic imaging and its ingrained drivers is one important way to improve the quality and efficiency of healthcare services. |
format | Online Article Text |
id | pubmed-8702028 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87020282021-12-24 Visualizing the Invisible: Invisible Waste in Diagnostic Imaging Hofmann, Bjørn Andersen, Eivind Richter Kjelle, Elin Healthcare (Basel) Article There is extensive waste in diagnostic imaging, at the same time as there are long waiting lists. While the problem of waste in diagnostics has been known for a long time, the problem persists. Accordingly, the objective of this study is to investigate various types of waste in imaging and why they are so pervasive and persistent in today’s health services. After a short overview of different conceptions and types of waste in diagnostic imaging (in radiology), we identify two reasons why these types of waste are so difficult to address: (1) they are invisible in the healthcare system and (2) wasteful imaging is driven by strong external forces and internal drivers. Lastly, we present specific measures to address wasteful imaging. Visualizing and identifying the waste in diagnostic imaging and its ingrained drivers is one important way to improve the quality and efficiency of healthcare services. MDPI 2021-12-07 /pmc/articles/PMC8702028/ /pubmed/34946419 http://dx.doi.org/10.3390/healthcare9121693 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hofmann, Bjørn Andersen, Eivind Richter Kjelle, Elin Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title | Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title_full | Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title_fullStr | Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title_full_unstemmed | Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title_short | Visualizing the Invisible: Invisible Waste in Diagnostic Imaging |
title_sort | visualizing the invisible: invisible waste in diagnostic imaging |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8702028/ https://www.ncbi.nlm.nih.gov/pubmed/34946419 http://dx.doi.org/10.3390/healthcare9121693 |
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