ClinicalSetu AI: Solving India's Healthcare Crisis with AWS Bedrock Multi-Agent | AI for Bharat 2026 скачать в хорошем качестве

ClinicalSetu AI: Solving India's Healthcare Crisis with AWS Bedrock Multi-Agent | AI for Bharat 2026

🏥 ClinicalSetu AI - AI Clinical Documentation Bridge for India's 1.4 Billion Solving India's healthcare documentation crisis with AWS AI. One clinical narrative → 5 structured outputs in seconds. ⚡ THE PROBLEM • India: 1 doctor per 1,511 people (WHO recommends 1:1,000) • Government doctors: 80-100 patients/day (~4 mins each) • 70% of consultation time = paperwork • Patients leave without understanding their diagnosis ✨ THE SOLUTION - Capture Once. Reuse Responsibly. Doctor speaks/types ONE clinical narrative → ClinicalSetu generates: 1. 📋 SOAP Note - Structured clinical documentation 2. 👤 Patient Summary - Plain language (translatable to 9 Indian languages) 3. 📨 Referral Letter - Context-rich specialist referrals with urgency scoring 4. 📄 Discharge Summary - Complete visit record with treatment plan 5. 🔬 Clinical Trial Matches - RAG-powered eligibility matching with confidence scores 🏗️ AWS ARCHITECTURE (13 Services - All Deployed): ✅ Amazon Bedrock Multi-Agent Collaboration (Supervisor + 4 Specialist Agents) ✅ Bedrock Knowledge Bases (RAG for clinical trial matching) ✅ AWS Lambda x5 (Python 3.12) - Serverless compute ✅ Amazon API Gateway (REST API with CORS) ✅ Amazon DynamoDB x2 (Response caching + Patient visits) ✅ Amazon OpenSearch Serverless (Vector search for trials) ✅ Amazon Transcribe Medical (Real-time clinical speech-to-text) ✅ Amazon CloudFront (CDN with HTTPS) ✅ Amazon S3 (Frontend + Lambda packages + Trial data) ✅ Amazon EventBridge (Daily trial data refresh) ✅ Amazon Cognito (Identity pool for Transcribe access) ✅ AWS CloudFormation (Infrastructure as Code - one-click deploy) ✅ GitHub Actions (CI/CD pipeline) 🎯 KEY FEATURES: ✅ Doctor Portal - Voice/text input, AI outputs, edit & finalize ✅ Patient Portal - Phone+OTP login, cross-hospital visit history ✅ Multi-tenant data isolation (hospital-scoped) ✅ Confidence scoring on all AI outputs ✅ Non-diagnostic by design (doctor-in-the-loop) ✅ 9 Indian language translation (on-demand via Bedrock) ✅ Cost-efficient: $0.003-0.01 per consultation (Nova Lite/Micro) 🤖 AI ARCHITECTURE: • Supervisor-Router Pattern (Bedrock Multi-Agent Collaboration) • 4 Specialist Agents: SOAP → Summary → Referral+Discharge → Trials • Each agent has domain-specific tools via Lambda action groups • RAG pipeline: ClinicalTrials.gov data → Titan Embeddings → OpenSearch • Model fallback chain: Nova Lite (primary) → Nova Micro (auto-failover) • Cross-region inference profiles for high availability 🔧 TECH STACK: • AI: Amazon Bedrock (Nova Lite/Micro), Multi-Agent Collaboration, Knowledge Bases, Titan Embeddings • Backend: AWS Lambda (Python 3.12), API Gateway, DynamoDB • Frontend: React + TypeScript + Vite (hosted on S3 + CloudFront) • Infrastructure: AWS CloudFormation (IaC) • CI/CD: GitHub Actions → CloudFormation → S3 → CloudFront • Data: Real ClinicalTrials.gov data , synthetic patient data 🏆 AI for Bharat Hackathon 2026 📂 Track: Professional - Healthcare & Life Sciences 👥 Team: Sahrova ⚠️ RESPONSIBLE AI: • Prototype using synthetic data only (zero real patient data) • Non-diagnostic by design - documentation assistant, not diagnostic tool • Doctor-in-the-loop - all outputs editable, nothing final until doctor approves • Confidence scoring with color coding (green/yellow/red) • AI disclaimers on every output • Multi-tenant data isolation with composite DynamoDB keys 🔗 LINKS: 📂 GitHub: https://github.com/sahil-makandar 🌐 Linkedin:   / mahaboobsab-makandar   💡 WHY THIS MATTERS: India's doctor shortage means every minute counts. ClinicalSetu gives doctors 70% of their time back while improving patient communication and enabling clinical trial discovery at point of care. #AWS #AmazonBedrock #AIforBharat #Healthcare #India #MultiAgent #RAG #Serverless #CloudComputing #HealthTech #ClinicalDocumentation #MachineLearning #BedrockAgents #KnowledgeBases #Hackathon2026