Unveiling the Future of AI and ML in Travel Health

Abstract

As global travel becomes increasingly complex, the amalgamation of artificial intelligence (AI) and machine learning (ML) into electronic health record (EHRs) for travel health is poised to reform the industry. This chapter delves into the cutting-edge trends and future trajectories that are reshaping how AI and ML enhance the management and analysis of travel-related health data. By exploring advanced predictive analytics, personalized health recommendations, and real-time decision-making, the authors uncover how these technologies are transforming EHRs from static repositories into dynamic, intelligent systems. The convergence of AI, ML, and travel health is not only streamlining the management of health risks for travellers but also opening new avenues for global health security, offering unprecedented opportunities for proactive and personalized healthcare solutions. This study highlights the critical innovations that will define the next generation of travel health EHRs, ensuring they are adaptive, predictive, and globally interconnected to meet the evolving demands of a rapidly changing world.

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