Leveraging AI to provide real time, context aware medical assistance and emergency support.
April 21, 2025· Amol Walunj
Project Overview
A custom Retrieval Augmented Generation (RAG) based chatbot was developed to assist users in the medical industry by providing relevant insights based on patient details and an extensive knowledge base stored in a vector database. The chatbot integrates web search capabilities and emergency assistance features to ensure thorough support.
Client Overview
The project was undertaken for a healthcare technology provider aiming to improve patient engagement and support through AI driven solutions.
Challenge
- The client aimed to develop a system that could:
- Collect essential patient data effectively.
- Provide accurate medical information based on symptoms and history.
- Identify critical conditions prompt.
- Offer real time assistance, including locating nearby medical facilities.
Solution
A custom chatbot was developed with the following features:
- Patient Data Collection: Gathers age, medical history, current medications, and symptoms.
- Intelligent Query Processing: Utilizes a RAG based approach to fetch relevant answers from a vector database, ensuring contextually accurate responses.
- Web Search Integration: Performs real time web searches when information is not available in the database.
- Critical Condition Identification: Recognizes severe medical situations and recommends immediate consultation.
- Emergency Assistance: Suggests immediate medical attention, searches for nearby hospitals and doctors, and provides emergency contact details.
Results & Impact
The chatbot achieved:
- Enhanced patient engagement through instant, accurate responses.
- Improved identification of critical conditions, leading to timely medical interventions.
- Streamlined access to nearby medical facilities during emergencies.
Client Testimonial
"The custom chatbot has significantly improved our patient support services, providing timely and accurate medical information while ensuring critical conditions are promptly addressed."
— Healthcare Technology Provider Representative
Conclusion & Future Plans
The successful deployment of the RAG-based chatbot has enhanced patient care by offering instant medical guidance and emergency support. Future plans include expanding the chatbot's capabilities to cover more medical conditions and integrating it with electronic health record systems for a more personalized experience.
At Cogninest AI, we specialize in helping companies build cutting edge AI solutions. To explore how we can assist your business, feel free to reach out to us at team@cogninest.ai