Case Study

Real-time medical AI assistance

How Cogninest AI Improved Patient Care with a Custom RAG-Based Medical Chatbot

Leveraging AI to provide real-time, context-aware medical assistance and emergency support

Before
Patient engagementDelayed phone-based support
Critical condition IDManual triage processes
Emergency supportDirectory lookup by staff
After
Patient engagementInstant AI-driven responses
Critical condition IDAutomated detection and recommendation
Emergency supportReal-time nearby hospital and doctor search
01The Challenge

Delivering accurate medical guidance with critical condition detection and emergency support

The healthcare technology provider aimed to improve patient engagement and support through AI-driven solutions. They needed a system that could collect essential patient data effectively including age, medical history, current medications, and symptoms. The system needed to provide accurate medical information based on symptoms and patient history, drawing from a verified knowledge base rather than general internet sources. Identifying critical conditions promptly was essential to ensure patients received timely medical interventions. The system also needed to offer real-time emergency assistance, including the ability to search for nearby hospitals and doctors and provide emergency contact details when severe conditions were detected.

  • Need for effective patient data collection (age, history, medications, symptoms)
  • Accurate medical information based on symptoms and history required
  • Critical condition identification needed to be prompt and reliable
  • Real-time emergency assistance including nearby facility search
02What We Built

RAG-based medical chatbot with web search, critical condition detection, and emergency features

We developed a custom chatbot with comprehensive medical support capabilities, from patient intake through emergency assistance.

Patient Data Collection

Chatbot gathers age, medical history, current medications, and symptoms through a structured conversational flow

Intelligent Query Processing

RAG-based approach fetches relevant answers from a medical vector database, ensuring contextually accurate responses grounded in verified knowledge

Web Search Fallback

When information is not available in the database, the system performs real-time web searches to supplement responses

Critical Condition Detection

System recognizes severe medical situations and immediately recommends professional consultation with urgency indicators

Emergency Assistance

Suggests immediate medical attention, searches for nearby hospitals and doctors, and provides emergency contact details when critical conditions are detected

RAG architecture with medical knowledge baseMedical vector databasePatient data collection flowCritical condition detection engineWeb search integration for fallbackNearby hospital and doctor search

"The custom chatbot has significantly improved our patient support services, providing timely and accurate medical information while ensuring critical conditions are promptly addressed."

Representative

Healthcare Technology Provider

03The Outcome

Enhanced patient care with instant AI-driven medical guidance and emergency support

The chatbot enhanced patient engagement through instant, accurate responses grounded in a verified medical knowledge base. Improved identification of critical conditions led to timely medical interventions that could be life-saving. Streamlined access to nearby medical facilities during emergencies gave patients actionable next steps when they needed them most. The successful deployment 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 with electronic health record systems for a more personalized patient experience.

Instantaccurate medical responses from verified sources
Timelyidentification of critical conditions for intervention
Real-timenearby hospital and doctor search in emergencies
PlannedEHR integration for personalized patient experience