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Improving Moderator Responsiveness in Online Peer Support Through Automated Triage.

David N MilneKathryn L McCabeRafael Alejandro Calvo
Published in: Journal of medical Internet research (2019)
The triage system was generally accurate, and moderators were largely in agreement with how messages were prioritized. It had a modest effect on response ratios, primarily because moderators were already more likely to respond to high priority content before the introduction of triage. However, it significantly and substantially reduced the time taken for moderators to respond to prioritized content. Further evaluations are needed to assess the impact of mistakes made by the triage algorithm and how changes to moderator responsiveness impact the well-being of forum members.
Keyphrases
  • emergency department
  • machine learning
  • deep learning
  • healthcare
  • high throughput
  • health information
  • mass spectrometry