Design a AI Healthcare Chatbot

Abstract : The Artificial Intelligence (AI) chatbots have emerged as transformative tools in the healthcare sector, enhancing patient engagement, automating routine tasks, and improving healthcare accessibility. This paper explores the development of AI-driven chatbots for healthcare, analyzing their significance, methodologies, and impact on patient care. Through a comprehensive literature review and experimental evaluation, this study presents insights into the effectiveness of healthcare chatbots and the challenges they face, including ethical concerns and data security. The results indicate that AI chatbots significantly improve patient interactions and preliminary diagnoses, though continuous improvements in natural language processing and data privacy are necessary. Additionally, key findings reveal that while AI chatbots reduce the workload on healthcare professionals and improve accessibility to medical advice, challenges related to trust, integration with existing systems, and bias mitigation require further research and development. The study concludes that AI-powered chatbots have the potential to revolutionize healthcare by improving efficiency, enhancing diagnostic accuracy, and providing 24/7 assistance. However, ensuring ethical AI development and compliance with regulatory standards remains crucial for their widespread adoption.

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Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-05-07
DOI
https://doi.org/10.22214/ijraset.2025.70067
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Design a AI Healthcare Chatbot

Surbhi Gupta, Harshita Mahor
International Journal for Research in Applied Science and Engineering Technology
AI in Service Interactions
article

Design a AI Healthcare Chatbot

Surbhi Gupta, Harshita Mahor
article en

Abstract

Abstract : The Artificial Intelligence (AI) chatbots have emerged as transformative tools in the healthcare sector, enhancing patient engagement, automating routine tasks, and improving healthcare accessibility. This paper explores the development of AI-driven chatbots for healthcare, analyzing their significance, methodologies, and impact on patient care. Through a comprehensive literature review and experimental evaluation, this study presents insights into the effectiveness of healthcare chatbots and the challenges they face, including ethical concerns and data security. The results indicate that AI chatbots significantly improve patient interactions and preliminary diagnoses, though continuous improvements in natural language processing and data privacy are necessary. Additionally, key findings reveal that while AI chatbots reduce the workload on healthcare professionals and improve accessibility to medical advice, challenges related to trust, integration with existing systems, and bias mitigation require further research and development. The study concludes that AI-powered chatbots have the potential to revolutionize healthcare by improving efficiency, enhancing diagnostic accuracy, and providing 24/7 assistance. However, ensuring ethical AI development and compliance with regulatory standards remains crucial for their widespread adoption.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(5)
ITM University (IN)
Openalex Percentile: Top 96%
AI in Service Interactions
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