PATIENT-CENTRIC CLINICAL TRIAL- THE ROLE OF CHATBOAT IN ENGAGEMENT- A REVIEW

Nara Anil Kumar*, Yogita Sunil Thosar, Mohini Ravindra Lad, Akash Prakash Bansode, Gaurav Jagtap and Noorush Shifa Nizami

ABSTRACT

This review examines the integration of chatbots in clinical trials to enhance patient engagement. Leveraging advancements in artificial intelligence (AI) and natural language processing (NLP), chatbots present a promising solution for addressing key challenges in participant recruitment, retention, and compliance. The review synthesizes current literature and case studies on the application of chatbots in clinical trials, highlighting their benefits, including real-time communication, personalized support, and 24/7 availability. By providing easier access to trial-related information, reminders, and support, chatbots can improve patient adherence to study protocols and enhance data accuracy. Despite these advantages, the review also discusses potential limitations and challenges, such as data privacy concerns, the need for continuous monitoring and updates to chatbot algorithms, and the importance of ensuring accessibility for diverse patient populations.

Keywords: Patient Engagement, Clinical Trials, Chatbots, Artificial Intelligence, Patient-Centric, Digital Health, AI in Healthcare, Natural Language Processing, Patient Recruitment, Informed Consent, Data Collection, Patient Retention, Personalized Communication,