  This study investigates the integration and impact of Large Language Models
(LLMs), like ChatGPT, in India's healthcare sector. Our research employs a dual
approach, engaging both general users and medical professionals through surveys
and interviews respectively. Our findings reveal that healthcare professionals
value ChatGPT in medical education and preliminary clinical settings, but
exercise caution due to concerns about reliability, privacy, and the need for
cross-verification with medical references. General users show a preference for
AI interactions in healthcare, but concerns regarding accuracy and trust
persist. The study underscores the need for these technologies to complement,
not replace, human medical expertise, highlighting the importance of developing
LLMs in collaboration with healthcare providers. This paper enhances the
understanding of LLMs in healthcare, detailing current usage, user trust, and
improvement areas. Our insights inform future research and development,
underscoring the need for ethically compliant, user-focused LLM advancements
that address healthcare-specific challenges.
