Performance of Google Bard and ChatGPT in Mass Casualty Incidents Triage

Performance of Google Bard and ChatGPT in Mass Casualty Incidents Triage

Authors: Rick Kye Gan, Jude Chukwuebuka Ogbodo, Yong Zheng Wee, Ann Zee Gan, Pedro Arcos González

Published in: American Journal of Emergency Medicine, 2023 October 30

Conclusion:

  • Google Bard was superior to ChatGPT in correctly performing triage in mass casualty incidents.
  • The accuracy rates were 60% for Google Bard and 26.67% for ChatGPT, with a significant statistical difference (p = 0.002).

Method:

  • A cross-sectional analysis was conducted to compare ChatGPT, Google Bard, and medical students in MCI triage using the START method.
  • A validated questionnaire with 15 MCI scenarios was utilized to evaluate triage accuracy and content analysis across four categories: "Walking Wounded," "Respiration," "Perfusion," and "Mental Status."
  • The results were analyzed statistically to determine performance levels.

Result:

  • Google Bard showed a higher accuracy rate of 60%, while ChatGPT reached an accuracy of 26.67% (p = 0.002).
  • In comparison, medical students had an accuracy rate of 64.3% from a previous study.
  • No significant difference was found between the performance of Google Bard and medical students (p = 0.211).
  • Qualitative content analysis across the four categories indicated that Google Bard outperformed ChatGPT.
Gan, R.K., Ogbodo, J.C., Wee, Y.Z., Gan, A.Z. and González, P.A., 2023. Performance of Google bard and ChatGPT in mass casualty incidents triage. The American Journal of Emergency Medicine.
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