Epics: Clinical Quality Service for First Responders (FirstAidIQ)
Generated from research in Ideas Catalogue. All epics created in Aha.io product II65.II65-E-1: Core AI Clinical Decision Support Engine
Status: In scope for Phase 1 (Foundation & MVP) Build the foundational AI engine that processes real-time patient data, vital signs, and clinical context to provide evidence-based guidance. The engine parses clinical guidelines (St John NZ, AHA, ERC protocols), applies NLP for voice interaction, and delivers actionable recommendations under field conditions. Key outcomes:- AI model trained on clinical guidelines and emergency protocols
- Real-time vital sign analysis with alert thresholds
- Voice-first interface for hands-free operation
- Adaptive recommendations based on patient presentation
II65-E-2: Real-Time Telemetry & Wearable Integration
Status: In scope for Phase 1 (Foundation & MVP) Build the telemetry backbone that connects field wearables (smart glasses, biosensor patches, vital sign monitors) to the cloud platform and transmits real-time patient data to control centres and receiving hospitals over 5G. Key outcomes:- Device SDK supporting smart glasses, biosensor patches, ECG monitors
- Real-time streaming pipeline with < 500ms latency
- Field-to-hospital data handover with complete patient records
- Offline-capable mobile app with sync on reconnect
II65-E-3: FirstResponder Mobile Application
Status: In scope for Phase 1 (Foundation & MVP) Voice-first mobile application for iOS and Android for first responders: clinical guidance, patient interaction logging, wearable device interface. Designed for high-stress, hands-busy field conditions. Key outcomes:- Voice-activated clinical guidance and protocol lookup
- Patient vitals logging and timeline tracking
- Offline mode with local guideline cache
- Wearable device pairing and monitoring
- Secure incident record creation for handover
II65-E-4: Control Centre & Dispatch Dashboard
Status: In scope for Phase 2 (Validation & Regulatory) Web dashboard for ambulance dispatch centres and hospital emergency departments to monitor field teams, view real-time patient telemetry, provide remote clinical support, and prepare for patient handover. Key outcomes:- Real-time map of all active field units with patient status
- Vital sign monitoring feeds per field responder
- Two-way communication with field teams
- Hospital pre-arrival notification and patient data package
- CAD system integration
II65-E-5: Clinical Quality & Analytics Platform
Status: In scope for Phase 2 (Validation & Regulatory) Data-driven quality improvement tools for emergency services organisations: incident analysis, protocol adherence tracking, outcome reporting, and benchmarking. Key outcomes:- Incident timeline reconstruction and case review
- Protocol adherence scoring per responder and team
- Outcome tracking linked to pre-hospital interventions
- Anonymised benchmarking across services
- Regulatory compliance reports
II65-E-6: Regulatory Compliance & Security Infrastructure
Status: In scope for Phase 1 (Foundation & MVP) Compliance, security, and data governance framework required for medical device classification and healthcare data handling across NZ, Australia, UK, and US markets. Key outcomes:- Medical device software classification documentation
- Patient data encryption at rest and in transit
- Role-based access control
- Audit trail for all clinical interactions
- HIPAA, GDPR, NZ Privacy Act compliance controls