PROJECTED DESTINATION IMAGE THROUGH AI APPLICATION FOR AYURVEDIC MEDICAL TOURISM DEVELOPMENT IN KERALA: A COMPREHENSIVE ANALYSIS

Abstract

Health and wellness tourism has become a popular kind of leisure that now encompasses a wide spectrum of medical treatments. The activities blend relaxation, leisure, and tranquillity with wellness and healthcare. Exorbitant wellness and medical facility costs in developed countries, the convenience and cost-effectiveness of traveling abroad, favorable currency investments exchange costs in the worldwide marketplace, continually upgrading technological advances, and extremely high requirements in health services in emerging nations all have contributed to medical tourism's swift development. In addition, productive communication across the travel, hotel, and healthcare industries is necessary for the company's long-term success. The usage of artificial intelligence (AI) technology has increased dramatically in recent years across a variety of industries, including healthcare. AI has enormous potential to transform the healthcare industry by allowing predictive analytics, tailored treatment, remote patient monitoring, and clinical decision support systems. AI integration allows healthcare practitioners to increase diagnosis accuracy, optimize treatment procedures, and improve patient outcomes. Despite the rising popularity of Ayurvedic medical tourism in Kerala, the business faces a number of obstacles, including the need for quality assurance, practice standardization, and the use of new technology. This project aims to investigate the relationship between AI technologies and Ayurvedic healthcare delivery in Kerala, with an emphasis on discovering potential for innovation, improving patient experiences, and supporting sustainable tourist growth. This research intends to give significant insights for policymakers, healthcare practitioners, and industry stakeholders by forecasting future trends.

Keywords

• Ayurvedic Medical Tourism
• Kerala
• Healthcare
• Destination image
• ICT
• AI Technologies

Projected Destination Image Through AI Application for Ayur-Vedic Medical Tourism Development in Kerala: A Comprehensive Analysis

Abstract

Health and wellness tourism has become a popular kind of leisure that now encompasses a wide spectrum of medical treatments. The activities blend relaxation, leisure, and tranquillity with wellness and healthcare. Exorbitant wellness and medical facility costs in developed countries, the convenience and cost-effectiveness of traveling abroad, favorable currency investments exchange costs in the worldwide marketplace, continually upgrading technological advances, and extremely high requirements in health services in emerging nations all have contributed to medical tourism's swift development. In addition, productive communication across the travel, hotel, and healthcare industries is necessary for the company's long-term success. The usage of artificial intelligence (AI) technology has increased dramatically in recent years across a variety of industries, including healthcare. AI has enormous potential to transform the healthcare industry by allowing predictive analytics, tailored treatment, remote patient monitoring, and clinical decision support systems. AI integration allows healthcare practitioners to increase diagnosis accuracy, optimize treatment procedures, and improve patient outcomes. Despite the rising popularity of Ayurvedic medical tourism in Kerala, the business faces a number of obstacles, including the need for quality assurance, practice standardization, and the use of new technology. This project aims to investigate the relationship between AI technologies and Ayurvedic healthcare delivery in Kerala, with an emphasis on discovering potential for innovation, improving patient experiences, and supporting sustainable tourist growth. This research intends to give significant insights for policymakers, healthcare practitioners, and industry stakeholders by forecasting future trends.

Keywords

• Ayurvedic Medical Tourism
• Kerala
• Healthcare
• Destination image
• ICT
• AI Technologies

References

1. Agarwal, L. (2023). Building a Resilient Digital Health Ecosystem in India. Accelerating Global Health, 82.
2. Agichtein, E., Castillo, C., Donato, D., Gionis, A., & Mishne, G. (2008, February). Finding High-Quality Content in Social Media. In Proceedings of the 2008 international conference on web search and data mining (pp. 183-194).
3. Arora, M., & Goenka, S. (Eds.). (2023). Public Health Approaches to Health Promotion. CRC Press.
4. Baker, K. (2008). Kerala's Strategy For Tourism Growth: A Southern Approach to Development and Poverty Alleviation. In Tourism development: growth, myths and inequalities (pp. 192-216). Wallingford UK: CABI.
5. Basu, A., Aggarwal, P., Banerjee, S., Samanta, A., & Panda, S. (2024). Personalized Healthcare: Advances and Avenues.
6. In Advances in Drug Delivery Systems for Healthcare: From concept to clinic (pp. 6-1). Bristol, UK: IOP Publishing.
7. Bierly III, P. E., Kessler, E. H., & Christensen, E. W. (2000). Organizational Learning, Knowledge and Wisdom. Journal of organizational change management, 13(6), 595-618.
8. Bishnoi, M. M., Ramakrishnan, S., Suraj, S., & Dwivedi, A. (2023). Impact of AI and COVID-19 on Manufacturing Systems: An Asia Pacific Perspective on the two Competing Exigencies. Production & Manufacturing Research, 11(1), 2236684.

9. Buhalis, D., & Law, R. (2008). Progress in Information Technology and Tourism Management: 20 Years on and 10 Years After the Internet—The State of e Tourism Research. Tourism Management, 29(4), 609-623.
10. Chander, B., Guravaiah, K., Anoop, B., & Kumaravelan, G. (Eds.). (2024). Handbook of AI-based Models in Health and Medicine: Approaches, Theories, and Applications. CRC Press.
11. Chelishcheva, E. (2023). Innovation in the Yoga and Ayurveda Industry: Exploring the role of Technology and Entrepreneurship.
12. Chen, C. C., & Tseng, Y. D. (2011). Quality evaluation of product reviews using an information quality Framework. Decision Support Systems, 50(4), 755-768.
13. Creswell, J. W., & Creswell, J. D. (2017). Research Design: Qualitative, quantitative, and mixed methods approaches. Sage publications.
14. Crooks, V. A., Turner, L., Snyder, J., Johnston, R., & Kingsbury, P. (2011). Promoting Medical Tourism to India: Messages, Images, and the Marketing of International Patient Travel. Social Science & Medicine, 72(5), 726- 732.
15. Devasia, D., & PV, S. K. (2022). Promotion of Tourism Using Digital Technology: An Analysis of Kerala Tourism In Handbook of technology application in tourism in Asia (pp. 403-422). Singapore: Springer Nature Singapore.
16. Dhanesh, G., Moss, D., Powell, M., & De Santo, B. (2010). Kerala: God’s Own Country. Public relations cases: International perspectives.
17. Dickinger, A., Költringer, C., & Körbitz, W. (2011). Comparing Online Destination Image With Conventional Image Measurement—The Case of Tallinn. In Information and communication technologies in tourism 2011 (pp. 165-177). Springer, Vienna.
18. Dutta, A. (2023). Unlocking the Power of Artificial Intelligence: Revolutionising Clinical Medicine for a Healthier Future. Journal of Medical Evidence, 4(3), 271-273.
19. Garg, S. R., & Bhardwaj, A. (2012). Indian Medical Tourism Industry: Growth Opportunities and Challenges. Multi Disciplinary Edu Global Quest (Quarterly), 1(1), 115-135.
20. George, A. T., & Jiang, M. (2018). A Case Study on Prospects and Emerging Trends of Ayurvedic Health Tourism with Green Growth in Kerala, India. In Green Events and Green Tourism (pp. 103-114). Routledge.
21. George, R. R., Shanimon, S., Suni, S., & NV, S. R. (2023). The Impact of Covid-19 And the Way Ahead for Kerala in Medical Value Tourism. International Journal of Health Management and Tourism, 8(3), 241258.
22. Ghia, C., & Rambhad, G. (2023). Implementation of Equity and Access in Indian Healthcare: Current Scenario and Way Forward. Journal of Market Access & Health Policy, 11(1), 2194507.
23. Grant, R. M. (1996). Toward a Knowledge‐Based Theory of the Firm. Strategic Management Journal, 17(S2), 109-122.
24. Hall, C. M., & Williams, A. M. (2019). Tourism and Innovation. Routledge.
25. Jansen, C., Baker, J. D., Kodaira, E., Ang, L., Bacani, A. J., Aldan, J. T., ... & Adra, C. N. (2021). Medicine in Motion: Opportunities, Challenges and Data Analytics-Based Solutions for Traditional Medicine Integration Into Western Medical Practice. Journal of Ethnopharmacology, 267, 113477.
26. John, J., & Chelat, S. (2013). Medical Tourism and Inclusive Growth: Significance of Ayurveda Sector. Atna Journal of Tourism Studies, 8(2), 19-35.
27. Kannan, S., & Frenz, M. (2019). Seeking Health Under Palm Trees: Ayurveda in Kerala. Global Public Health, 14(3), 351-361.
28. KR, M. K. (2024). The Role of Technology In Promoting Wellness Tourism: A Case Study Of Thrissur, Kerala. Journal of Advanced Zoology, 45(3).
29. Kumar, A., Jain, R., Gupta, M., & Islam, S. M. (Eds.). (2023). 6G-enabled IoT and AI for smart healthcare: Challenges impact, and analysis. CRC Press.
30. Kumar, A. (2023). Role of information technology in Ayurveda. International Journal of Ayurveda Research, 4(4), 197- 202.
31. Medhekar, A., Wong, H. Y., & Hall, J. E. (2020). Health-Care Providers Perspective on Value in Medical Travel to India. Tourism Review, 75(4), 717-731.
32. Mishra, L. C., Singh, B. B., & Dagenais, S. (2001). Ayurveda: A Historical Perspective and Principles of the Traditional Healthcare System in India. Alternative Therapies in Health and Medicine, 7(2), 36-43.
33. Mupfiga, P. S. (2015). Adoption of ICT in the Tourism and Hospitality Sector in Zimbabwe. The International Journal ofEngineering and Science, 4(12), 72-78.
34. Nayar, R., & Manoj, P. K. (2018). Role of ict in Promotion of Medical Value Travel in India: A Primer. International Journal of Trade and Global Business Perspectives, 7(02), 3924-3935.
35. Neuts, B., Romão, J., Nijkamp, P., & van Leeuwen, E. (2013). Digital Destinations in the Tourist Sector: A Path Model for the Impact of E-Services on Tourist Expenditures in Amsterdam. Letters in Spatial and Resource Sciences, 6, 71- 80.
36. Parviainen, J., & Rantala, J. (2022). Chatbot Breakthrough in the 2020s? An Ethical Reflection on the Trend of Automated Consultations in Health Care. Medicine, Health Care and Philosophy, 25(1), 61-71.
37. Raina, R., & Gupta, M. (2021). Virtual Health Care in India in the Era of COVID-19 Pandemic. Journal of Advances in Medicine and Medical Research, 33(21), 142-147.
38. Raj, T. V. R., & Krishna, P. M. (2010). Health tourism in India: Issues, Challenges & Marketing Interventions. International Journal of Management Prudence, 1(2), 79.
39. Ranade, M. (2024). Artificial intelligence in Ayurveda: Current Concepts and Prospects. Journal of Indian System of Medicine, 12(1), 53-59.
40. Rath, K. C., Khang, A., Rath, S. K., Satapathy, N., Satapathy, S. K., & Kar, S. (2024). Artificial Intelligence (AI)- Enabled Technology in Medicine-Advancing Holistic Healthcare Monitoring and Control Systems. In Computer Vision and AI-Integrated IoT Technologies in the Medical Ecosystem (pp. 87-108). CRC Press.
41. Sharma, S., Rawal, R., & Shah, D. (2023). Addressing the Challenges of AI-Based Telemedicine: Best Practices and Lessons Learned. Journal of Education and Health Promotion, (1), 338.
42. Stringam, B. B., & Gerdes Jr, J. (2010). An Analysis of Word-of-Mouse Ratings and Guest Comments of Online Hotel Distribution Sites. Journal of Hospitality Marketing & Management, 19(7), 773-796.
43. Suuronen, S., Ukko, J., Eskola, R., Semken, R. S., & Rantanen, H. (2022). A Systematic Literature Review for Digital Business Ecosystems in the Manufacturing Industry: Prerequisites, Challenges, and Benefits. CIRP Journal of Manufacturing Science and Technology, 37, 414-426.
44. Tripathi, S. N., & Siddiqui, M. H. (2018). Assessing the Quality of Healthcare Services: A SERVQUAL Approach. International Journal of Healthcare Management.
45. Vinjamury, S. P., Vinjamury, M., Sucharitakul, S., & Ziegler, I. (2011). Panchakarma: Ayurvedic Detoxification and Allied Therapies—is There Any Evidence?. Evidence-Based Practice in Complementary and Alternative Medicine: Perspectives, Protocols, Problems and Potential in Ayurveda, 113-137.
46. Walkikar, S. S., & Rai, A. (2023). Analysis of Prakriti in Ayurvedic Classical Texts. International Journal of Research in AYUSH and Pharmaceutical Sciences, 1-7.