1Associate Professor, Trauma and Emergency Medicine, AIIMS Mangalagiri, India
Email: vanjanipriya@gmail.com
2Associate Professor, Department of Emergency Medicine, Kims Narketpalli, India
3Associate Professor, Department of Trauma and Emergency Medicine, AIIMS Mangalagiri, India
4Assistant Professor, Department of Trauma and Emergency Medicine, AIIMS Mangalagiri, India
5Additional Professor, Department of Transfusion Medicine, AIIMS Mangalagiri, India
6Additional Professor, Department of Orthopaedics, AIIMS Mangalagiri, India
7Additional Professor, Department of Dentistry, AIIMS Mangalagiri, India
Introduction: Artificial intelligence (AI) chatbots have the potential to transform healthcare delivery, but their adoption among medical practitioners remains unclear. This study aimed to evaluate the knowledge, perception, attitude, practice, and barriers among Indian medical practitioners towards AI chatbots.
Methodology: A cross-sectional study was conducted among 389 Indian medical practitioners using a structured questionnaire. The questionnaire assessed socio-demographic characteristics, knowledge, perception, attitude, practice, and barriers related to AI chatbots.
Results: The majority of respondents (49.5%) were not familiar with AI chatbots, and only 26.5% reported using them. Nevertheless, 47.0% perceived AI chatbots as having a positive impact on academics and practice. The key barriers to adoption were lack of knowledge (48.8%), limited access (20.0%), and privacy concerns (12.0%). The study shows a significant association between knowledge of AI, its use, and positive perception. Subgroup analysis also revealed significant associations between practice type, technology access, and years of experience.
Conclusion: The study highlights a significant gap between awareness and practical utilization of AI chatbots among Indian medical practitioners. Targeted training, clear guidelines, and system-level integration are needed to improve adoption and realize the potential of AI chatbots in healthcare delivery.
Keywords: N/A.
How to cite this article: Vemula AP, Rao VMRK, HariDeep Y, Prasad G, Chaitanya IS, Srikanth IM, Chiranjeevi J. Exploring the Knowledge, Perception, Attitude, Practice and Barriers among Indian Medical Practitioners Towards Artificial Intelligence Chatbots (AI-Chatbots) (Eg ChatGPT): A Pilot Survey. Int J Drug Deliv Technol. 2026;16(6s): 1017-1024; DOI: 10.25258/ijddt.16.6s.133
Source of support: Nil
Conflict of interest: None