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...

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Main Authors: Bjørn Hofmann, Eivind Richter Andersen, Elin Kjelle
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Healthcare
Subjects:
Online Access:https://www.mdpi.com/2227-9032/9/12/1693
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author Bjørn Hofmann
Eivind Richter Andersen
Elin Kjelle
author_facet Bjørn Hofmann
Eivind Richter Andersen
Elin Kjelle
author_sort Bjørn Hofmann
collection DOAJ
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.
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spelling doaj.art-377b944d04934adea0b5ca567f1ad72c2023-11-23T08:34:14ZengMDPI AGHealthcare2227-90322021-12-01912169310.3390/healthcare9121693Visualizing the Invisible: Invisible Waste in Diagnostic ImagingBjørn Hofmann0Eivind Richter Andersen1Elin Kjelle2Department of Health Sciences, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, P.O. Box 191, N-2802 Gjøvik, NorwayDepartment of Health Sciences, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, P.O. Box 191, N-2802 Gjøvik, NorwayDepartment of Health Sciences, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, P.O. Box 191, N-2802 Gjøvik, NorwayThere 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.https://www.mdpi.com/2227-9032/9/12/1693wasteimagingappropriatenesswaiting timeoveruselow-value care
spellingShingle Bjørn Hofmann
Eivind Richter Andersen
Elin Kjelle
Visualizing the Invisible: Invisible Waste in Diagnostic Imaging
Healthcare
waste
imaging
appropriateness
waiting time
overuse
low-value care
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 waste
imaging
appropriateness
waiting time
overuse
low-value care
url https://www.mdpi.com/2227-9032/9/12/1693
work_keys_str_mv AT bjørnhofmann visualizingtheinvisibleinvisiblewasteindiagnosticimaging
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