Title: Medical tourism in India – How crowd-sourced platforms can help in informed-decision making?

Abstract:

India has rapidly emerged as one of the leading destinations for medical tourism, attracting millions of international patients seeking affordable, high-quality healthcare. However, despite the industry’s exponential growth, potential medical tourists often face challenges in making informed choices—ranging from selecting the right hospitals and doctors to understanding treatment costs, travel logistics, and patient experiences.

This presentation explores how crowd-sourced platforms—leveraging real-time patient feedback, peer reviews, and data-driven insights—can bridge the information gap and enhance transparency in the medical tourism ecosystem. By integrating patient-generated data, AI-driven analytics, and verified healthcare accreditation, these platforms empower patients to make evidence-based decisions while fostering trust and accountability within the industry.

The discussion will also highlight key trends, challenges, and best practices for implementing effective digital ecosystems that support both patients and healthcare providers. Ultimately, crowd-sourced platforms have the potential to transform medical tourism in India into a more transparent, efficient, and patient-centric experience.

Biography:

Anu Rai is a researcher and academician at Adamas University, India, with a focus on healthcare management and medical tourism. Her work explores the intersection of technology, patient experience, and healthcare decision-making. With a keen interest in digital platforms and their impact on the healthcare sector, she has contributed to multiple research studies on patient engagement, healthcare accessibility, and innovation in medical services. Anu is passionate about leveraging technology to improve informed decision-making in medical tourism and enhance the overall patient journey.