Eye-tracking reveals how observation chart design features affect the detection of patient deterioration: An experimental study

Appl Ergon. 2019 Feb:75:230-242. doi: 10.1016/j.apergo.2018.10.005. Epub 2018 Nov 12.

Abstract

Particular design features intended to improve usability - including graphically displayed observations and integrated colour-based scoring-systems - have been shown to increase the speed and accuracy with which users of hospital observation charts detect abnormal patient observations. We used eye-tracking to evaluate two potential cognitive mechanisms underlying these effects. Novice chart-users completed a series of experimental trials in which they viewed patient data presented on one of three observation chart designs (varied within-subjects), and indicated which observation was abnormal (or that none were). A chart that incorporated both graphically displayed observations and an integrated colour-based scoring-system yielded faster, more accurate responses and fewer, shorter fixations than a graphical chart without a colour-based scoring-system. The latter, in turn, yielded the same advantages over a tabular chart (which incorporated neither design feature). These results suggest that both colour-based scoring-systems and graphically displayed observations improve search efficiency and reduce the cognitive resources required to process vital sign data.

Keywords: Clinical deterioration; Human factors; Patient safety.

MeSH terms

  • Adolescent
  • Adult
  • Eye Movement Measurements
  • Eye Movements*
  • Female
  • Humans
  • Male
  • Medical Records*
  • Middle Aged
  • Observation / methods*
  • Patient Acuity
  • Vital Signs
  • Young Adult