SYSTEMATIC LITERATURE REVIEW ON AI CHATBOT SOLUTION FOR MEDICAL PRACTITIONER ADOPTION AND ENGAGEMENT WITH THE HEALTHCARE SYSTEM IN SRI LANKA

Abstract

This study examines the impact of adopting digital health technologies, specifically AI-driven solution chatbots, on healthcare systems in Sri Lanka. Despite the global proliferation of digital health tools, Sri Lanka faces unique challenges and opportunities in integrating these technologies. This research addresses key barriers, facilitators, and the potential role of AI chatbots in transforming healthcare delivery in the region. A systematic literature review was conducted, analyzing 52 relevant studies from 2016 to 2023, sourced from Google Scholar, ResearchGate, arXiv, and Sci-Hub. The review focused on global trends in health technology adoption, barriers specific to Sri Lanka, and strategies for the successful implementation of AI-driven healthcare solutions. The findings indicate that inadequate infrastructure, socio-economic factors, and cultural resistance are significant barriers to the adoption of digital health technologies in Sri Lanka. However, lessons from global best practices and case studies from similar contexts highlight the potential strategies to overcome these challenges. AI chatbots, in particular, demonstrate significant potential in improving healthcare efficiency and patient engagement but require robust infrastructure and supportive policies for successful implementation. Effective strategies such as improving infrastructure, providing financial incentives, and comprehensive training programs are crucial for overcoming the identified barriers. The role of AI chatbots is underscored as a transformative tool in healthcare, capable of reducing workload for healthcare professionals and enhancing patient management. However, challenges related to data privacy, accuracy, and reliability necessitate continuous human oversight and adaptive regulatory frameworks. Integrating AI-driven solutions like chatbots into Sri Lanka's healthcare system could lead to more efficient healthcare delivery, reduced workload for medical practitioners, and ultimately, better patient care and management across the country. While these technologies offer promising improvements, addressing their limitations through better infrastructure, supportive policies, and ongoing human involvement is essential. Future research should focus on practical applications and the long-term impact of these technologies in healthcare settings.