Tailored travel medicine: advancing personalised travel risk assessment through decision support tools.

Journal: Journal of travel medicine
Published Date:

Abstract

This editorial explores how clinical decision support systems, artificial intelligence, and behavioural profiling can enable personalised travel health advice, transitioning from static checklists to dynamic, traveller-specific recommendations that support shared decision-making and empower clinicians and travellers alike.

Authors

  • Luis Furuya-Kanamori
    UQ Centre for Clinical Research, Faculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Herston, Queensland, Australia.
  • Gerard T Flaherty
    School of Medicine, College of Medicine, Nursing and Health Sciences, University of Galway, Galway, Ireland.

Keywords

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