Research on AI-Driven Whole-Process Service Mode in Cross-Border Medical Tourism

Zhuorong Li

doi:10.71222/7zv8px67

Authors

Zhuorong Li School of Communication and Management, Sichuan Media College, Chengdu, China Author

DOI:

https://doi.org/10.71222/7zv8px67

Keywords:

artificial intelligence, medical tourism, international healthcare, operating model, data-driven

Abstract

With rapid advances in global medical technology and significant improvements in people's health awareness, international medical tourism has gradually emerged as an increasingly important mode of healthcare service delivery worldwide. The primary purpose of this paper is to comprehensively discuss the application of artificial intelligence (AI) throughout the entire service process of international medical tourism. Furthermore, it aims to construct an innovative, AI-based operating model by systematically analyzing patients' diverse needs, the optimal allocation of global medical resources, and continuous service quality improvement. Studying the integration of AI technology helps to effectively consolidate and optimize healthcare resources, significantly improve patients' personalized service experiences, and substantially reduce the inherent risks caused by information asymmetry between providers and patients. To achieve this overarching goal, this paper proposes a robust, data-driven decision-support system tailored for the healthcare sector. The proposed system can analyze complex market dynamics in real time and dynamically optimize international medical services to meet evolving demands. Comprehensive data analysis based on rigorous empirical research verifies the remarkable effectiveness of the AI-driven service model in improving both the operational efficiency of international medical tourism and overall patient satisfaction. Ultimately, this study provides solid theoretical support and valuable practical guidance for the sustainable development and digital transformation of related fields in the global healthcare industry.

References

1. N. Lunt, D. Horsfall, and J. Hanefeld, "Medical tourism: A snapshot of evidence on treatment abroad," Maturitas, vol. 88, pp. 37-44, 2016.

2. M. Liverani, P. Ir, B. Jacobs, A. Asante, S. Jan, S. Leang, ... and V. Wiseman, "Cross-border medical travels from Cambodia: pathways to care, associated costs and equity implications," Health Policy and Planning, vol. 35, no. 8, pp. 1011-1020, 2020.

3. O. B. Oso, O. I. Alli, A. O. Babarinde, and A. I. Ibeh, "Navigating cross-border healthcare investments: A risk-opportunity model for emerging markets," Engineering and Technology Journal, vol. 10, no. 2, pp. 3805-3832, 2025.

4. M. Frenz, "Introduction: Medical tourism or movement for healthcare? Reflections on (inter-) national cross-border mobility," Global Public Health, vol. 14, no. 3, pp. 321-325, 2019.

5. U. B. Karcıoğlu, "The impact of artificial intelligence on the patient journey in medical tourism: A management framework," Eurasian Journal of Health Technology Assessment, vol. 9, no. 1, pp. 58-67, 2025.

6. R. P. Tripathi, "Harnessing the potential of AI and ML in medical tourism: Challenges, opportunities, and ethical implications," in *2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)*, pp. 1068-1072, Nov. 2023.

7. B. S. Al-Romeedy, M. E. Emam, H. Hussein, A. Singh, and P. K. Tyagi, "Digital passports to wellness: How technology is shaping medical tourism," in Revolutionizing Healthcare Experience With Digital Medical Tourism, IGI Global Scientific Publishing, pp. 111-136, 2025.

8. J. Ashraf and Y. Hayat, "Transforming medical tourism through digital advancements," in Revolutionizing Healthcare Experience With Digital Medical Tourism, IGI Global Scientific Publishing, pp. 425-458, 2025.

9. V. Hassan and G. Bellos, "COVID-19: Reshaping medical tourism through artificial intelligence (AI) and robotics," Athens Journal of Tourism, vol. 9, no. 2, pp. 77-98, 2022.

10. N. Sakipov and O. Vikhnin, "The Modern Symbolic Artificial Intelligence and Its Use in Medical Tourism," in *2021 IEEE 15th International Conference on Application of Information and Communication Technologies (AICT)*, pp. 1-6, Oct. 2021.

11. M. S. Reshadi and A. M. Chehragh, "A review of medical tourism entrepreneurship and marketing at regional and global levels and a quick glance into the applications of artificial intelligence in medical tourism," Ai & Society, vol. 40, no. 5, pp. 4011-4027, 2025.

12. B. K. M. Wong and S. A. Sa’aid Hazley, "The future of health tourism in the industrial revolution 4.0 era," Journal of Tourism Futures, vol. 7, no. 2, pp. 267-272, 2021.