Abstract: Healthcare is rapidly moving toward patient-centred care, and technology has been essential in developing the quality of personalised healthcare. This is a report about an artefact, which is a healthcare chatbot that utilises state-of-the-art natural language processing technology. Chatbot was developed with an aim of enhancing patient participation, provisioning relevant messages in time, as well building linkage between doctors and patients.

It leverages highly advanced NLP systems that can understand the sentiments of conversations and respond back as a real human would, making communication easy and relevant within its context. It can be integrated in existing healthcare platforms and hence made accessible by patients for queries such as health information to specific medical inquiries. Through artificial intelligence or machine learning algorithms, it is possible for the chatbot to keep improving on its performance adjusting according to the ever-changing language and user’s preferences.

The healthcare chatbot's key features include symptom analysis, prescription reminders, and health-related FAQs. By adhering to healthcare standards and using encryption mechanisms for sensitive information, the system assures data security and privacy compliance.

Keywords: Natural Language Processing, Artificial Intelligence, Chatbot, Multilingual Functionalities.


Downloads: PDF | DOI: 10.17148/IJARCCE.2025.141167

How to Cite:

[1] Prof. Diksha Bansod, Sneha K. Shrirame, Triveni M. Kirsan, Pranav S. Machave, Payal A. Uikey, Aditya A. Langade, "Virtual Healthcare Bot," International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2025.141167

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