Improving Patient Care Through Medical Image Perception Research

Elizabeth A. Krupinski

Research output: Contribution to journalArticlepeer-review

10 Scopus citations


The interpretation of medical images across medical specialties is critical to patient care. As technology changes, so does health care, and clinicians today are increasingly viewing medical images in a variety of environments. Although access to such data is useful, even clinicians with expertise in image interpretation make errors. These errors may become more frequent as clinician workdays become longer and the number of images to be interpreted becomes larger. To prevent errors in medical image interpretation, we need to understand the underlying perceptual and cognitive mechanisms that guide image interpretation. We can then use what is learned to develop better training methods, automated image analysis, and processing tools. We can devise methods to reduce clinician fatigue and stress, and develop practice guidelines thereby improving patient care and outcomes.

Original languageEnglish (US)
Pages (from-to)74-80
Number of pages7
JournalPolicy Insights from the Behavioral and Brain Sciences
Issue number1
StatePublished - Jan 1 2015


  • diagnostic performance
  • errors
  • fatigue
  • medical image perception
  • policy

ASJC Scopus subject areas

  • Social Psychology
  • Public Administration


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