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Visualizing the Invisible: Invisible Waste in Diagnostic Imaging.

Bjørn Morten HofmannEivind Richter AndersenElin Kjelle
Published in: Healthcare (Basel, Switzerland) (2021)
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.
Keyphrases
  • high resolution
  • healthcare
  • heavy metals
  • municipal solid waste
  • mass spectrometry
  • fluorescence imaging
  • mental health
  • machine learning
  • photodynamic therapy
  • deep learning
  • health insurance