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Automation Bias in AI-Decision Support: Results from an Empirical Study.

Florian KückingUrsula HübnerMareike PrzysuchaNiels HannemannJan-Oliver KutzaMaurice MoellekenCornelia Erfurt-BergeJoachim DissemondBirgit BabitschDorothee Busch
Published in: Studies in health technology and informatics (2024)
Considering factors influencing automation bias when introducing a CDSS is critical to fully leverage the benefits of such a system. This study highlights that non-specialists, who stand to gain the most from CDSS, are also the most susceptible to automation bias, emphasizing the need for specialized training to mitigate this risk and ensure diagnostic accuracy and patient safety.
Keyphrases
  • patient safety
  • palliative care
  • quality improvement