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.
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.
Primary Language | English |
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Subjects | Tourism Resource Appraisal |
Journal Section | İnceleme Makalesi |
Authors | |
Early Pub Date | June 26, 2024 |
Publication Date | June 30, 2024 |
Submission Date | May 16, 2024 |
Acceptance Date | June 26, 2024 |
Published in Issue | Year 2024 Volume: 1 Issue: 1 |
Sinop Üniversitesi Turizm Fakültesi tarafından çıkartılan Sinop-e: Turizm Araştırmaları Dergisi Haziran sayısı için makale kabulüne başlamıştır. Makale süreçleri sadece DergiPark sistemi üzerinden işletilecek olup https://dergipark.org.tr/tr/journal/4368/submission/step/manuscript/new link adresi üzerinden makale gönderimi sağlanacaktır.