Duty Hour

Duty Hour App is a comprehensive, mobile-first platform designed to streamline duty-hour tracking, ensure ACGME compliance, and support resident well-being—all with minimal reliance on constant Internet connectivity. It combines geofencing, on-device intelligence, AI-driven insights and seamless integrations into a single, extensible solution for residents, program directors and GME administrators. 1. Overview • Purpose: Automate shift-logging and compliance reporting while proactively identifying duty-hour violations, burnout risk and fatigue. • Target users: Residents/fellows (clock-in/out, breaks, wellness checks), program directors (real-time dashboards, reports), GME offices (audit trails, accreditation exports). 2. Core Features • Geofence + Wi-Fi/IP “Handshake”: Auto-enter on-site mode when a user crosses the hospital perimeter and joins the local network. • Offline-First Logging: All clock-ins, breaks and wellness entries write to a local encrypted SQLite store; syncs bi-directionally when network returns. • Real-Time Rule Engine: On-device enforcement of duty-hour caps, break requirements and alerts within 100 ms, even offline. • Seamless Sync & Conflict Resolution: Delta-based uploads over TLS, timestamped entries and merge logic to handle edits across devices. 3. AI & Analytics • Predictive Violation Risk: ML models forecast who’s most likely to exceed weekly or per-shift limits; early warning nudges residents to swap or rest. • Auto-Narrative Reporting: LLM-powered summaries turn raw log tables into plain-English monthly or quarterly reports for PDs and DIOs. • In-App Chatbot: Contextual GPT-based assistant answers FAQs (“How many hours remain this week?”) and guides through troubleshooting. • Smart Scheduling Suggestions: Constraint-solver recommendations balance institutional needs against individual fatigue profiles. 4. Biometric & Fatigue Mitigation • Sleep & Recovery Dashboard: Integrates HealthKit, Google Fit or third-party wearables (Oura, Fitbit) to chart sleep duration, efficiency, HRV and resting heart rate. • Fatigue Risk Score: Combines biometric data and upcoming shift load into a 0–100 risk index, color-coded with personalized mitigation tips (naps, schedule swaps). • Proactive Alerts: Push notifications when risk crosses thresholds, with links to in-app fatigue-hygiene library. 7. Technical Architecture • Mobile Clients: Native iOS (Swift/HealthKit) and Android (Kotlin/Google Fit) apps with background geofence and BLE scanning. • Edge vs. Cloud Inference: Lightweight Core ML/TensorFlow Lite models on-device; heavier training and LLM calls in Kubernetes or serverless APIs. • Data Pipeline: Event-stream ingestion (Kafka/Kinesis) of logs, biometrics and app interactions feeding both analytics warehouse (Snowflake/BigQuery) and ML training clusters. • Extensibility: Open REST/GraphQL APIs + webhooks for EHR, scheduling systems or custom hospital-policy plugins. 8. Key Benefits • Reliability: Residents never miss a clock-in/out even if hospital Wi-Fi or the public Internet goes down. • Speed & Trust: Instant alerts and rule checks build confidence in the system’s accuracy. • Compliance Made Easy: Automated ACGME exports, direct NLRB-union reporting capabilities and audit trails reduce administrative overhead. • Well-Being Focus: Integrated fatigue-mitigation engine and AI insights foster healthier scheduling and targeted interventions. 9. Integrations & Future Roadmap • Third-Party Wearables: Expand to Garmin, Samsung Health, WHOOP. • Enterprise Tools: SCIM/SAML SSO, MDM enrollment for managed devices. • Marketplace Plugins: Peer-swap boards, on-call escalation, local-policy rule engines. With Duty Hour App, institutions get a single, end-to-end solution that not only enforces duty-hour compliance but also champions resident wellness, leverages AI intelligence and scales across any device or form factor.