Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation.

Journal: BMC health services research
PMID:

Abstract

OBJECTIVE: To evaluate the accuracy of Google Translate (GT) in translating low-acuity paediatric emergency consultations involving respiratory symptoms and fever, and to examine legal and policy implications of using AI-based language interpretation in healthcare.

Authors

  • Julia Brandenberger
    Division of Paediatric Emergency Medicine, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland. Julia.brandenberger@insel.ch.
  • Ian Stedman
    School of Public Policy and Administration, York University, Toronto, Canada.
  • Noah Stancati
    Division of Pediatric Emergency Medicine, Hospital for Sick Children, Toronto, Canada.
  • Karen Sappleton
    Language Interpretation Services, Hospital for Sick Children, Toronto, Canada.
  • Sarathy Kanathasan
    Division of Pediatric Emergency Medicine, Hospital for Sick Children, Toronto, Canada.
  • Jabeen Fayyaz
    Division of Pediatric Emergency Medicine, Hospital for Sick Children, Toronto, Canada.
  • Devin Singh
    Department of Computer Science, University of Toronto, Toronto, Canada.