International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 04 | Apr 2025
p-ISSN: 2395-0072
www.irjet.net
Doctor AI - AI Healthcare Chatbot Ayushi Varma1, Aamir Siddiqui2, Bhumika Nalawade3, Cyrus Parave4, Prof. Priyanka Bhilare5 1²³´ Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai
5Assistant Professor, Department of Computer Engineering, Rajiv Gandhi Institute of Technology, Mumbai
---------------------------------------------------------------------***--------------------------------------------------------------------present healthcare environment proves that advanced ABSTRACT - Healthcare organizations currently solutions must be developed to create more accessible healthcare delivery.
experience elevated patient needs together with limited resources coupled with urgent requirements for precise medical knowledge. The healthcare system built on traditional face-to-face methods encounters difficulties delivering timely care because it cannot address current patient needs effectively. This approach results in extended wait times and achieves poor management efficiency and medical diagnosis errors. Doctor AI represents an AI-based healthcare chatbot which the project develops to improve healthcare service interaction for patients.
The healthcare domain can be transfoSrmed using the power of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) technologies. The vast medical dataset analysis abilities of AI match well with NLP technology's ability to give patients genuine digital system interactions which create smooth user experiences. The project Doctor AI as an AI-based healthcare chatbot which improves patient engagement to the users while providing timely medical assistance seamlessly.
Doctor AI uses natural language processing (NLP) for patients to recognize their symptoms before getting medical advice from the system while it directs them toward qualified healthcare providers for advanced evaluation. The system links patients to evidence-based medical advice and suitable healthcare facilities through its access to medical databases which uses symptom reports to determine required treatment protocols. The implementation of telemedicine functions enables patients to schedule immediate sessions which provides urgent access to healthcare services.
Doctor AI gives patients the capability to check symptoms themselves and obtain quick medical advice before providing them with professional healthcare provider recommendations. The chatbot works to boost healthcare efficiency through optimized patient management together with real-time consultations like generic medicine or which doctor to consult to in order to provide immediate accurate medical support to individuals.
2. LITERATURE REVIEW The paper [1] discusses a text-based chatbot designed to assist users with healthcare queries. The system implements keyword extraction from its pre-defined database to return responses before forwarding complex inquiries to an expert system. The automated system seeks to provide immediate responses which help cut down healthcare expenses while making healthcare more accessible to users. However, it has several limitations. The standardized database provides only programmed medical questions which results in wrong and dated information. The system works with algorithms that preceded programming yet faces problems with unclear statements and sophisticated medical vocabulary. The system operates without real-time adaptation because it needs manual updating rather than dynamic learning capabilities. Unanswerable queries require time because the system depends on an expert database which results in delayed responses for urgent matters. The problems with data storage security and information privacy create worries for users sharing important health data since they encounter weak encryption alongside unsatisfactory handling of sensitive medical information. These challenges limit the chatbot’s effectiveness as an autonomous healthcare assistant.
Through its design the Doctor AI chatbot intends to enhance healthcare service accessibility while maximizing resource effectiveness to create better patient outcomes. The advanced technology solution presents a major stride toward using technology resources to improve healthcare delivery during the current industry challenges.
Key Words:
AI-based healthcare chatbot, Natural Language Processing (NLP), Symptom recognition, Medical advice, Healthcare providers, Medical databases, Treatment protocols, Telemedicine, Immediate access to healthcare, Healthcare service accessibility, Resource effectiveness
1. INTRODUCTION The healthcare industry faces multiple major obstacles which make patient care management inefficient. Rising patient volume, limited medical human resources and urgent medical information requirements create substantial organizational obstacles. Healthcare services delivered through traditional patient appointments require significant systemic delays in addition to extensive wait times. The
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