HealthChat Pro

Tech Stack

The Problem

• Patients needed reliable health information between appointments but existing chatbots gave generic, unsafe responses.
• High hallucination rates in general-purpose LLMs made them unsafe for medical guidance contexts.
• Healthcare providers had no scalable solution to handle routine patient inquiries outside office hours.
• Regulatory risk from medically inaccurate AI output created liability concerns for healthcare operators.
• Language diversity in consumer health platforms limited equitable access across patient populations.

Our Solution

• Built a medically-informed chatbot with RAG architecture grounding responses in verified clinical guidelines.
• Implemented medical knowledge retrieval to minimise hallucinations and eliminate dangerous advice.
• Deployed on AWS with Docker for scalable, HIPAA-aligned infrastructure and high availability.
• Integrated HuggingFace embeddings for precise semantic matching against curated medical literature.
• Added clear emergency escalation pathways routing critical presentations to human medical professionals.

Impact

Delivered reliable health guidance with 95% user satisfaction, reducing unnecessary follow-up calls to clinics.