AutoRep

🚀 Inspiration

We’re building AI-powered coordination agents to keep surgical reps, hospitals, and operating rooms perfectly in the loop—cutting costs, saving time, and ensuring every implant and tray is ready, every time.

🤖 What it does

AutoRep is an AI-driven coordination assistant that streamlines the complex, manual workflow of surgical representatives in orthopedic procedures. It:

• Centralizes scheduling data from surgeon offices and hospitals
• Automatically generates tray and implant requirements based on pre-operative plans
• Notifies all stakeholders (sterile processing, OR staff, company logistics, reps) with personalized action checklists
• Tracks tray and implant readiness, flagging delays or missing inventory
• Uses a secure interface for reps to review plans and confirm logistics
• Reduces miscommunication, excess inventory costs, and manual coordination overhead.

🛠 How we built it

• Frontend: React-based dashboard for reps and hospital staff to track readiness status
• Backend: Node.js API with Flask microservices for AI decision-making
• AI Agent: LLM-powered coordination assistant (via Bedrock/OpenAI API) to generate task flows from pre-op plans
• Database: PostgreSQL for structured data (schedules, inventory, tray status)
• Notifications: Slack + Email integration for real-time alerts to reps and hospital teams
• Security: Scoped access based on HIPAA-safe role permissions

⚠️ Challenges we ran into

• Mapping the real-world complexity of surgical coordination into a structured system
• Balancing HIPAA-compliant data handling while enabling shared access
• Integrating AI recommendations in a way that reps and hospitals can trust and act on
• Managing asynchronous communication flows across multiple stakeholders
• Simulating realistic OR scheduling and pre-op planning workflows for testing

🏅 Accomplishments that we're proud of

• Created an end-to-end coordination loop where reps, hospitals, and MedCompany can stay synced in real time
• Designed a smart assistant that reduces rep calls, emails, and repeat visits to hospitals
• Built a dashboard that clearly shows tray and implant readiness status per patient
• Identified key cost-saving areas for hospitals and MedCompany in tray prep and consignment waste

📚 What we learned

• The surgical rep workflow is incredibly complex but ripe for intelligent automation
• Even small improvements in coordination can result in significant financial savings and time reduction
• AI is most impactful when it augments human workflows rather than replaces them
• Stakeholder-specific task visibility (custom views for reps vs hospital vs logistics) is crucial

🔮 What's next for AutoRep

• Integrate with EHR systems for real-time surgery scheduling updates
• Add predictive inventory management using surgery history and AI
• Build hospital-facing tools to forecast tray sterilization needs and optimize tray reuse
• Launch mobile version for reps on the go
• Partner with MedDevice companies to pilot in real surgical environments

Built With

• n8n